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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier — shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
— you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
— that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers — DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room — all atomic. Fixed windows are simpler but allow 2× the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours — Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check — if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth — meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore — limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
— if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
— webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
— respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) ± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
— if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state —
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call → 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
—
POST /crm/v3/objects/deals/batch/update
with 100 per call → 6 calls.
Associations
—
POST /crm/v4/associations/{from}/{to}/batch/create
if needed → another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) — log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
— always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook → sync → webhook loops
— when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
— OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
— newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
— Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
— sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero — if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter — you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
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You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
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Claude responded: They're independent buckets — with one shared bucket on top.
Claude responded: They're independent buckets — with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets — with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
┌──────────────────┐
Search request ──→ │ Search: 5/sec │ ──┐
└──────────────────┘ │
├──→ ┌─────────────────┐
┌──────────────────┐ │ │ Daily: 250k–1M │
Non-search call ──→ │ Burst: 190/10s │ ──┘ │ (per portal) │
└──────────────────┘ └─────────────────┘
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls — all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone — and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search → Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst → Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either → Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs — burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified — be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
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You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
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Claude responded: Yes, your understanding is correct — every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct — every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct — every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
— not two — because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key...
|
Claude
|
Claude
|
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|
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier — shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
— you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
— that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers — DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room — all atomic. Fixed windows are simpler but allow 2× the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours — Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check — if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth — meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore — limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
— if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
— webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
— respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) ± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
— if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state —
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call → 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
—
POST /crm/v3/objects/deals/batch/update
with 100 per call → 6 calls.
Associations
—
POST /crm/v4/associations/{from}/{to}/batch/create
if needed → another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) — log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
— always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook → sync → webhook loops
— when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
— OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
— newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
— Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
— sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero — if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter — you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
Retry
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Retry
Edit
Copy
Claude responded: They're independent buckets — with one shared bucket on top.
Claude responded: They're independent buckets — with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets — with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
┌──────────────────┐
Search request ──→ │ Search: 5/sec │ ──┐
└──────────────────┘ │
├──→ ┌─────────────────┐
┌──────────────────┐ │ │ Daily: 250k–1M │
Non-search call ──→ │ Burst: 190/10s │ ──┘ │ (per portal) │
└──────────────────┘ └─────────────────┘
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls — all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone — and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search → Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst → Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either → Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs — burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified — be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
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You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Retry
Edit
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Claude responded: Yes, your understanding is correct — every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct — every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct — every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
— not two — because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[...
|
Claude
|
Claude
|
NULL
|
3154
|
|
3155
|
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Close
Claude is responding
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
Edit
Copy
Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier — shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
— you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
— that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers — DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room — all atomic. Fixed windows are simpler but allow 2× the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours — Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check — if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth — meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore — limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
— if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
— webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
— respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) ± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
— if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state —
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call → 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
—
POST /crm/v3/objects/deals/batch/update
with 100 per call → 6 calls.
Associations
—
POST /crm/v4/associations/{from}/{to}/batch/create
if needed → another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) — log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
— always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook → sync → webhook loops
— when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
— OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
— newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
— Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
— sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero — if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter — you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Edit
Copy
Claude responded: They're independent buckets — with one shared bucket on top.
Claude responded: They're independent buckets — with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets — with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
┌──────────────────┐
Search request ──→ │ Search: 5/sec │ ──┐
└──────────────────┘ │
├──→ ┌─────────────────┐
┌──────────────────┐ │ │ Daily: 250k–1M │
Non-search call ──→ │ Burst: 190/10s │ ──┘ │ (per portal) │
└──────────────────┘ └─────────────────┘
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls — all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone — and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search → Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst → Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either → Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs — burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified — be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Edit
Copy
Claude responded: Yes, your understanding is correct — every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct — every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct — every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
— not two — because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used
>=
tonumber
(
ARGV
[
3
]
)
then
-- Tell caller how long to sleep until oldest entry expires
local
oldest
=
redis
.
call
(
'ZRANGE'
,
KEYS
[
1
]
,
0
,
0
,
'WITHSCORES'
)
return
{
0
,
'BURST'
,
(
oldest
[
2
]
+
ARGV
[
2
]
)
-
ARGV
[
1
]
}
end
if
daily_used
>=
tonumber
(
ARGV
[
4
]
)
then
return
{
0
,
'DAILY'
,
-
1
}
end
redis
.
call
(
'ZADD'
,
KEYS
[
1
]
,
ARGV
[
1
]
,
ARGV
[
5
]
)
redis
.
call
(
'PEXPIRE'
,
KEYS
[
1
]
,
ARGV
[
2
]
+
1000
)
local
d
=
redis
.
call
(
'INCR'
,
KEYS
[
2
]
)
if
d
==
1
then
redis
.
call
(
'EXPIRE'...
|
Claude
|
Claude
|
NULL
|
3155
|
|
3156
|
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Close
Claude is responding
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
Edit
Copy
Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier — shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
— you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
— that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers — DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room — all atomic. Fixed windows are simpler but allow 2× the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours — Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check — if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth — meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore — limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
— if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
— webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
— respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) ± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
— if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state —
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call → 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
—
POST /crm/v3/objects/deals/batch/update
with 100 per call → 6 calls.
Associations
—
POST /crm/v4/associations/{from}/{to}/batch/create
if needed → another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) — log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
— always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook → sync → webhook loops
— when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
— OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
— newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
— Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
— sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero — if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter — you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Edit
Copy
Claude responded: They're independent buckets — with one shared bucket on top.
Claude responded: They're independent buckets — with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets — with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
┌──────────────────┐
Search request ──→ │ Search: 5/sec │ ──┐
└──────────────────┘ │
├──→ ┌─────────────────┐
┌──────────────────┐ │ │ Daily: 250k–1M │
Non-search call ──→ │ Burst: 190/10s │ ──┘ │ (per portal) │
└──────────────────┘ └─────────────────┘
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls — all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone — and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search → Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst → Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either → Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs — burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified — be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Edit
Copy
Claude responded: Yes, your understanding is correct — every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct — every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct — every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
— not two — because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used
>=
tonumber
(
ARGV
[
3
]
)
then
-- Tell caller how long to sleep until oldest entry expires
local
oldest
=
redis
.
call
(
'ZRANGE'
,
KEYS
[
1
]
,
0
,
0
,
'WITHSCORES'
)
return
{
0
,
'BURST'
,
(
oldest
[
2
]
+
ARGV
[
2
]
)
-
ARGV
[
1
]
}
end
if
daily_used
>=
tonumber
(
ARGV
[
4
]
)
then
return
{
0
,
'DAILY'
,
-
1
}
end
redis
.
call
(
'ZADD'
,
KEYS
[
1
]
,
ARGV
[
1
]
,
ARGV
[
5
]
)
redis
.
call
(
'PEXPIRE'
,
KEYS
[
1
]
,
ARGV
[
2
]
+
1000
)
local
d
=
redis
.
call...
|
Claude
|
Claude
|
NULL
|
3156
|
|
3157
|
PostmanEditViewWindowHelpHubSpot rate limit imple PostmanEditViewWindowHelpHubSpot rate limit implementation strategy vcan I call it trom postman 100 times>* ThinkingKeep going in Claude CodeSwitch to Claude Code and let Claude work directiv in vour.repo. running and testing as it goesWrite a message…Hubspot rate limits reference - MDUse timeZone tointerpret resetsAt from the dally erCheat sheet: profiling a new portal in PostmanThree calls, in order:1. GEl /account-into/vs/details → portalinto+GET /account-info/v3/api-usage/daily/privameaningful for private apps)3. Skip search probing — the 5/sec is fixedError response shape"status""error"."message": "You have reached your secondly 1"errorType": "RATE LIMIT","policyName": "SECONDLY"."...","requesttd".""nolncvname values.eeconniy =caareh huteter e/cer• TEN SECONDLY ROLLING - burst bucket (110/10sprivate)• DAILY — private apps dailv ceilingAlwavs inspect nolicvName on 429 to know which buchack offOther operational guidelines• Error responses must stay under 5% of total dailycertificationi• Polling endpoints: minimum interval 5 minutes.• Search auery may 3 000 chars may 18 Alters acroresults per query.• Ratch enânoints. 1in to 100 records ner call regdlaOpus 4.7 AdaptiveClaude ic Aland can make mictakec Plosce double-chork racnoncod"supoont Dally • nowYour team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaboration.v COLLECtIONs, Contactsv CRM Objectsv crm/vslobiects/obiect Twoe,> U batchv ooiect Id›> • associations/{to Object Type)GET Read20: An error occurred.eg. successful operationDEL Archive> PATCH Update>GET List> POST Filter, Sort, and Search CRM Objects> CRM Owners> CRM Pinelinec> Dealsv Engagements› OLD ENGAGEMENTSGET list meetingsPOST search moditied companiesPOST search tackeGET read call> POST soarch callsGET list callsPOST meetings scheduledGET get meetingPOST get link to task• PosT Create Contact with AssociationHubsnotlJournal & webhoooks v4post Get tokenGET det subscriotionsPOST create subscrintiorGET Journal earliestGET Journal latestgeT httos:nuosoorGET next offsetPOST aet Token prodDEL DELETE CLIRCCDIDTION DEP DOPTAII>ENVIRONMENTS) spFcsELOWS§ Connect Git E Console 2 TernGET next off. • POST search •GET read ciNo environmentvCRM Obiects > crm/v3/obiects/{obiect Tvoe) > (obiect Id) > Readl) SaveToaseurl)) /crm/vs/objects/call/4801/1536580/properties=boby.internalmeetingnotescassociations=contacis,deals,companiesE Docs Params • Authorization • Headers 9 Body Scripts SettingsCookiesQuery ParamsKeyv propertiespropertesValveboby.internalmeetingNotesname<string>companiesfalsefalse205825333040DescriotionBulk Edit ..A comma separated list or the properties to be returned inA comma separated list of the properties to be returned inA comma separated list of object types to retrieve associalA comma separated list of obiect types to retrieve associalWhether to return only results that have been archived,The name of a property whose values are unique for this olv associationscontacis. deals companiesDescriptionHeaders 21 lest Results404 Not Found • 162 ms • 1.2 KB • têe.g- save kesponse .:statusdateThu. 07 May 2026 11:25•25 GMTcontent-typewovt/htmlcharcotcica.0950.1cf-ray9f7fdd2hea988428-SOfct-cache-statusDYNAMIOcache-controlmuct-revalidate no-cache no-ctorestrict-transport-securitymax-ade-31536000- includeSubDomains: preloadorigin, Accept-Encodinaaccess-control-allow-credentialsserver-timinalhcid:desc="019e022f-77c3-7883-a217-66912667639f" cfr.desc="9f7fdd2c02ef3402-IAD"x-hubspot-correlation-id799 917 H691H904y-hubenot-notfoundl10000wwnhonrradhlmmawx-hubspot-ratelimit-remainingx-hubspot-ratelimit-secondlv-remainingrenort-tof"endnoints".f("url"."httnc+|Ma nel.cloudflare com\renort|/v42c=oq20F0hENDQHit@cRe2VRe"success fraction":0.01."report_to"-"cf-nel""max age":604800}100% L2VAIlc baseUrlo tokenThu 7 May 15:04:31Uparadehttos:/lapi.hubaoCNeR-JHaMxlZoiNd.• All VarlablesGiobals Vault Took -- m=m...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp• •DOCKERO &1DEV (docker)H82APP (-zsh)viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedjiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]$0lohlSupport Daily • now100% <47DEV (docker)-zsh• $4screenpipe"8Thu 7 May 15:04:32-zshT₴1₴6•$55.95ms DONEDEV...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp• •DOCKERO &1DEV (docker)H82APP (-zsh)viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedjiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]$0lohlSupport Daily • now100% <47DEV (docker)-zsh• $4screenpipe"8Thu 7 May 15:04:33-zshT₴1₴6•$55.95ms DONEDEV...
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PostmanEditViewWindowHelpHubSpot rate limit impl PostmanEditViewWindowHelpHubSpot rate limit implementation strategy vcan I call it from postman 100 times* ThinkingKeep going in Claude CodeSwitch to Claude Code and let Claude work directiv in vour.repo, running and testing as it goes.Write a message…Hubspot rate limits reference - MDUse timeZone to interpret resetsAt from the daily enCheat sheet: profiling a new portal in PostmanThree calls, in order:1. GEl /account-into/vs/details portalinto+GET /account-info/v3/api-usage/daily/privemeaningful for private apps)3. Skip search probing — the 5/sec is fixedError response shape"status""error"."message": "You have reached your secondly 1!"errorType" : "RATE_LIMIT","policyName" : "SECONDLY","...","requestId": "..."nolncvname values:SECONDLY - search bucket (5/sec)• TEN_SECONDLY_ROLLING - burst bucket (110/10sprivate)• DAILY — private apps daily ceilingAlways inspect policyName on 429 to know which bucback off.Other operational guidelines• Error responses must stay under 5% of total dailycertificationi• Polling endpoints: minimum interval 5 minutes.• Search query: max 3.000 chars, max 18 filters acroresults per query.• Batch endpoints: up to 100 records per call (read/c)Opus 4.7 AdaptiveClaude ic Aland can make mictakec Plosce double-chork racnoncodSupport Daily - now100% L2Inu / May 10.04.33* Your team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaboration.v COLLECtIONs, ContactsCRM Objectsv crm/vslobiects/obiect Twoe,> O batchv ooiect Id›› [ associations/(to Object Type)GET ReadE. An error occurred.eg. successful operation> DEL Archive> PATCH Update>GET List> PosT Filter, Sort, and Search CRM Objects> CRM Owners> CRM Pipelines> Dealsv Engagements› OLD ENGAGEMENTSGET list meetingsPOST search moditied companiesPoSt search tasksGET read call> PoST search callsGET list callsPoST meetings scheduledGET get meetingPosT get link to task• PosT Create Contact with Association• HubspotJournal & webhoooks v4POST Get tokenGET det suoscriotionsPOST create subscriptionGET Journal earliestGET Journal latestgeT httos:nuosoorGET next offsetPOST aet Token prodDEL DELETE SUBSCRIPTION PER PORTAL>ENVIRONMENTS) spFcs> FLOWS§ Connect Git E Console 2 TernGET next off. • POST search •GET read ciNo environmentvVAIlCRM Objects › crm/v3/objects/(object Type) › (object Id) › Readf SaveVariables in requestToaseurl)) /crm/vs/objects/call/4801/1536580/properties=boby.internalmeetingnotescassociations=contacis,deals,companies# Docs Params • Authorization • Headers 9 Body Scripts SettingscookiesC baseUrlo tokenhttos:/lapi.hubaoCNeR-JHgMxIZQINQ…..Query ParamsKeyv properties• All VarlablespropertesValueboby.internalmeetingNotesname<string>companiesfalsefalse205825333040DescriptionBulk Edit ..A comma separated list or the properties to be returned inA comma separated list of the properties to be returned inA comma separated list of object types to retrieve associatA comma separated list of obiect types to retrieve associalWhether to return only results that have been archived.The name of a property whose values are unique for this olv associationscontacis deals companiesDescriptionHeaders 21 lest Results404 Not Found • 162 ms • 1.2 KB • Cêe.g- save kesponse .istatusdateThu. 07 May 2026 11:25•25 GMTcontent-typecf-rayct-cache-statustext/html:charset=iso-8859-19f7fdd2bea988428-SOFDYNAMICcache-controlstrict-transport-securitymust-revalidate,no-cache,no-storemax-age=31536000; includeSubDomains; preloadorigin, Accept-Encodinaaccess-control-allow-credentialsserver-timingx-hubspot-correlation-idx-hubspot-notfoundhcid:desc="019e022f-77c3-7883-a217-66912667639f" cfr.desc="9f7fdd2c02ef3402-IAD"019e0224-77c3-7883-a217-bb912b67b39f10000wwnhonrrashimmawx-hubspot-ratelimit-remainingx-hubspot-ratelimit-secondlv-remainingreport-tof"endnoints".f("url"."httnc+|Ma nel.cloudflare com\renort|/v42c=oq20F0hENDQHit@cRe2VRe"success fraction":0.01."report_to"."cf-nel""max_age":604800}Globals Vault Tools S000...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp• •DOCKERO &1DEV (docker)H82APP (-zsh)viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedjiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]$0lohlSupport Daily • now100% <47DEV (docker)-zsh• $4screenpipe"8Thu 7 May 15:04:34-zshT₴1₴6•$55.95ms DONEDEV...
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PostmanEditViewWindowHelpHubSpot rate limit impl PostmanEditViewWindowHelpHubSpot rate limit implementation strategy vcan I call it from postman 100 times* ThinkingKeep going in Claude CodeSwitch to Claude Code and let Claude work directiv in vour.repo, running and testing as it goes.Write a message…Hubspot rate limits reference - MDUse timeZone to interpret resetsAt from the daily enCheat sheet: profiling a new portal in PostmanThree calls, in order:1. GEl /account-into/vs/details portalinto+GET /account-info/v3/api-usage/daily/privemeaningful for private apps)3. Skip search probing — the 5/sec is fixedError response shape"status""error"."message": "You have reached your secondly 1!"errorType" : "RATE_LIMIT","policyName" : "SECONDLY","...","requestId": "..."nolncvname values:SECONDLY - search bucket (5/sec)• TEN_SECONDLY_ROLLING - burst bucket (110/10sprivate)• DAILY — private apps daily ceilingAlways inspect policyName on 429 to know which bucback off.Other operational guidelines• Error responses must stay under 5% of total dailycertificationi• Polling endpoints: minimum interval 5 minutes.• Search query: max 3.000 chars, max 18 filters acroresults per query.• Batch endpoints: up to 100 records per call (read/c)Opus 4.7 AdaptiveClaude ic Aland can make mictakec Plosce double-chork racnoncodSupport Daily - now100% L2Inu / May 10.04.30* Your team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaboration.v COLLECtIONs, ContactsCRM Objectsv crm/vslobiects/obiect Twoe,> O batchv ooiect Id›› [ associations/(to Object Type)GET ReadE. An error occurred.eg. successful operation> DEL Archive> PATCH Update>GET List> PosT Filter, Sort, and Search CRM Objects> CRM Owners> CRM Pipelines> Dealsv Engagements› OLD ENGAGEMENTSGET list meetingsPOST search moditied companiesPoSt search tasksGET read call> PoST search callsGET list callsPoST meetings scheduledGET get meetingPosT get link to task• PosT Create Contact with Association• HubspotJournal & webhoooks v4POST Get tokenGET det suoscriotionsPOST create subscriptionGET Journal earliestGET Journal latestgeT httos:nuosoorGET next offsetPOST aet Token prodDEL DELETE SUBSCRIPTION PER PORTAL>ENVIRONMENTS) spFcs> FLOWS§ Connect Git E Console 2 TernGET next off. • POST search •GET read ciNo environmentvVAIlCRM Objects › crm/v3/objects/(object Type) › (object Id) › Readf SaveVariables in requestToaseurl)) /crm/vs/objects/call/4801/1536580/properties=boby.internalmeetingnotescassociations=contacis,deals,companies# Docs Params • Authorization • Headers 9 Body Scripts SettingsCookiesC baseUrlo tokenhttos:/lapi.hubaoCNeR-JHgMxIZQINQ…..Query ParamsKeyv properties• All VarlablespropertesValueboby.internalmeetingNotesname<string>companiesfalsefalse205825333040DescriptionBulk Edit ..A comma separated list or the properties to be returned inA comma separated list of the properties to be returned inA comma separated list of object types to retrieve associalA comma separated list of obiect types to retrieve associalWhether to return only results that have been archived.The name of a property whose values are unique for this olv associationscontacis. deals companiesDescriptionHeaders 21 lest Results404 Not Found • 162 ms • 1.2 KB • têe.g- save kesponse .istatusdateThu. 07 May 2026 11:25•25 GMTcontent-typecf-rayct-cache-statustext/html:charset=iso-8859-19f7fdd2bea988428-SOFDYNAMICcache-controlstrict-transport-securitymust-revalidate,no-cache,no-storemax-age=31536000; includeSubDomains; preloadorigin, Accept-Encodinaaccess-control-allow-credentialsserver-timingx-hubspot-correlation-idx-hubspot-notfoundhcid:desc="019e022f-77c3-7883-a217-66912667639f" cfr.desc="9f7fdd2c02ef3402-IAD"019e0224-77c3-7883-a217-bb912b67b39f10000wwnhonrrashimmawx-hubspot-ratelimit-remainingx-hubspot-ratelimit-secondlv-remainingreport-tof"endnoints".f("url"."httnc+|Ma nel.cloudflare com\renort|/v42c=oq20F0hENDQHit@cRe2VRe"success fraction":0.01."report_to"."cf-nel""max_age":604800}Globals Vault Tools S000...
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PostmanEditViewWindowHelpHubSpot rate limit impl PostmanEditViewWindowHelpHubSpot rate limit implementation strategy vcan I call it trom postman 100 times** ThinkingKeep going in Claude CodeSwitch to Claude Code and let Claude work directiv in vourrepo. running and testing as it goesWrite a message…Hubspot rate limits reference - MDUse timeZone tointerpret resetsAt from the dally erCheat sheet: profiling a new portal in PostmanThree calls, in order:1. GEl /account-into/vs/details → portalinto+GET /account-info/v3/api-usage/daily/privameaningful for private apps)3. Skip search probing — the 5/sec is fixedError response shape"status""error"."message": "You have reached your secondly 1"errorType": "RATE LIMIT","policyName": "SECONDLY"."...","requesttd".""nolncvname values:eeconniy =caareh huteter e/cer• TEN SECONDLY ROLLING - burst bucket (110/10sprivate)• DAILY — private apps daily ceilingAlwavs inspect nolicvName on 429 to know which buchack offOther operational guidelines• Error responses must stay under 5% of total dailycertificationi• Polling endpoints: minimum interval 5 minutes.• Search auery. may 3. 000 chars may 18 Alters acroresults per query.• Ratch enânoints. 11n to 100 records ner calll readllaOpus 4.7 AdaptiveClaude ic Aland can make mictakec Plosce double-chork racnoncod"supoont Dally • now100% 52Thu 7 May 15:04:37Xx Hubspot v• SearchYour team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaboration.v COLLECtIONs, Contactsv CRM Objectsv crm/vslobiects/obiect Twoe,> U batchv ooiect Id›> • associations/{to Object Type)GET Read20: An error occurred.eg. successful operationDEL Archive> PATCH Update>GET List> POST Filter, Sort, and Search CRM Objects> CRM Owners> CRM Pinelinec> Dealsv Engagements› OLD ENGAGEMENTSGET list meetingsPOST search moditied companiesPOST search tackeGET read call> POST soarch callsGET list callsPOST meetings scheduledGET get meetingPOST get link to task• POST Create Contact with AssociatioHubsnotlJournal & webhoooks v4post Get tokenGET det suoscriotionsPOST create subscrintiorGET Journal earliestGET Journal latestgeT httos:nuosoorGET next offsetPOST aet Token prodDEL DELETE CLIRCCDIDTION DEP DOPTAII>ENVIRONMENTS) spFcsELOWS@ Connect Git = Concole 5.l TermGET ReadGET read call •GET Get EngagemeNo environmentCRM Objects › crm/v3/objects/{object Type) › {object Id) › ReadE Save~((baseUrl)) /crm/v3/objects/call/480171536586?properties=boby.internalMeetingNotes&associations=contacts,deals.companiesE Docs Params • Authorization • Headers 9 Body Scripts SettingsQuery ParamsKeyv propertiespropertesv associationsHeaders 21 lest Results:statusdatecontent-typecf-rayct-cache-statuscache-controlstrict-transport-securityaccess-control-allow-credentialsserver-timinalx-hubspot-correlation-idy-hubenot-notfoundlwwnhonrradhlmmawx-hubspot-ratelimit-remainingx-hubspot-ratelimit-secondlv-remainingrenort-toValueboby,internalmeetingNotesname<strina>DescriptionBulk Edit .A comma separated list or the properties to be returned in the response. ir anyA comma separated list of the properties to be returned in the response. If anyA comma separated list of object types to retrieve associated IDs for. If any ofA comma separated list of obiect types to retrieve associated IDs for. If any offalsefalse205825333040Whether to return only results that have been archived.The name of a property whose values are uniaue for this obiect tvoecontacis deals companies404 Not Found 162 ms • 1.2 KB •e.g. save kesponse ..AO4IThu. 07 May 2026 11:25:25 GMTtext/html;charset=iso-8859-1Of7fdd2bea988428-SoFDYNAMICmust-revalidate,no-cache,no-storemax-age=31536000; includeSubDomains; preloadorigin. Accept-Encodingfalcehcid:desc="019e022f-77c3-7883-a217-66912667639f" cfr.desc="9f7fdd2c02ef3402-IAD"019e022f-77c3-7883-a217-bb912b67b39f10000f"ondnoints".[("url"."httnc-|Ma.nel.cloudflare com\/renort|/v42c-0020FQhENR8Hit@cRe2VRceAKmcQamurVFTlQvlKTttAKi""success fraction":0.01."report_to"."cf-nel""max age":604800Vault Tools & 000...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp• •DOCKERO &1DEV (docker)H82APP (-zsh)viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedjiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]$0lohlSupport Daily • now100% <DEV (docker)-zsh• $4screenpipe"8Thu 7 May 15:04:39-zshT₴1₴6•$55.95ms DONEDEV...
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*PostmanEditViewWindowHelpHubSpot rate limit imple *PostmanEditViewWindowHelpHubSpot rate limit implementation strategy vcan I call it trom postman 100 times* Strategizing rate limit testing scenarios and deliberate saturation methodsKeep going in Claude CodeSwitch to Claude Code and let Claude work directiv in vour.repo. running and testing as it goesWrite a message…Opus 4.7 AdaptiveClaude ic Aland can make mictakec Plosce double-chork racnoncodHubspot rate limits reference - MDUse timeZone tointerpret resetsAt from the dally erCheat sheet: profiling a new portal in PostmanThree calls, in order:1. GEl /account-into/vs/details → portalinto+GET /account-info/v3/api-usage/daily/privameaningful for private apps)3. Skip search probing — the 5/sec is fixedError response shape"status""error"."message": "You have reached your secondly 1"errorType": "RATE LIMIT","policyName": "SECONDLY"."...","requesttd".""nolncvname values:eeconniy =caareh huteter e/cer• TEN SECONDLY ROLLING - burst bucket (110/10sprivate)• DAILY — private apps dailv ceilingAlwavs inspect nolicvName on 429 to know which buchack offOther operational guidelines• Error responses must stay under 5% of total dailycertificationi• Polling endpoints: minimum interval 5 minutes.• Search auery. may 3. 000 chars may 18 Alters acroresults per query.• Ratch enânoints. 11n to 100 records ner calll readlla"supoont Dally • now100% 52Inu / May 10.04.39Xx Hubspot v• SearchYour team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaboration.GET ReadGET read call •GET Get EngagemeNo environmentCRM Obiects > crm/v3/obiects/{obiect Tvoe) > (obiect Id) > Readla SavevToaseurl)) /crm/vs/objects/call/4801/1536580/properties=boby.internalmeetingnotescassociations=contacis,deals,companiesE Docs Params • Authorization Headers 9 BodySettinasQuery ParamsKeyValueDescriptionBulk Edit .v propertiesboby,internalmeetingNotesA comma separated list or the properties to be returned in the response. ir anypropertesnameA comma separated list of the properties to be returned in the response. If any<strina>A comma separated list of object types to retrieve associated IDs for. If any ofA comma separated list of obiect types to retrieve associated IDs for. If any offalsefalseWhether to return only results that have been archived.205825333040The name of a property whose values are uniaue for this obiect tvoev associationscontacis deals companiesv COLLECtIONsv CRM Objectsv crm/vslobiects/obiect Twoe,> U batchv ooiect Id›> • associations/{to Object Type)GET Read20, An error occurred.eg. successful operationDEL Archive> PATCH Update>GET List> POST Filter, Sort, and Search CRM Objects> CRM Owners> CRM Pinelinec> Dealsv Engagements› OLD ENGAGEMENTSGET list meetingsPOST search moditied companiesPOST search tackeGET read call> POST soarch callsGET list callsPOST meetings scheduledGET get meetingPOST get link to task• POST Create Contact with AssociatioHubsnotlJournal & webhoooks v4post Get tokenGET det suoscriotionsPOST create subscrintiorGET Journal earliestGET Journal latestgeT httos:nuosoorGET next offsetPOST aet Token prodDEL DELETE CLIRCCDIDTION DEP DOPTAII>ENVIRONMENTS) spFcsELOWS@ Connect Git = Concole 5.l TermHeaders 21 lest Results404 Not Found 162 ms • 1.2 KB •e.g. save kesponse ..•:statusdatecontent-typecf-rayct-cache-statuscache-controlstrict-transport-securityaccess-control-allow-credentialsserver-timinalx-hubspot-correlation-idy-hubenot-notfoundwwnhonrradhlmmawx-hubspot-ratelimit-remainingx-hubspot-ratelimit-secondlv-remainingrenort-toAO4IThu. 07 May 2026 11:25:25 GMTtext/html;charset=iso-8859-1Of7fdd2bea988428-SoFDYNAMICmust-revalidate,no-cache,no-storemax-age=31536000; includeSubDomains; preloadorigin. Accept-Encodingfalcehcid:desc="019e022f-77c3-7883-a217-66912667639f" cfr.desc="9f7fdd2c02ef3402-IAD"019e022f-77c3-7883-a217-bb912b67b39f10000f"ondnoints".[("url"."httnc-|Ma.nel.cloudflare com\/renort|/v42c-0020FQhENR8Hit@cRe2VRceAKmcQamurVFTlQvlKTttAKi""success fraction":0.01."report_to"."cf-nel""max age":604800Vault Tools & 000...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp• •DOCKERO &1DEV (docker)H82APP (-zsh)viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedjiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]$0lohlSupport Daily • now100% <47DEV (docker)-zsh• $4screenpipe"8Thu 7 May 15:04:41-zshT₴1₴6•$55.95ms DONEDEV...
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*PostmanEditViewWindowhelpHubSpot rate limit imple *PostmanEditViewWindowhelpHubSpot rate limit implementation strategy vcan I call it trom postman 100 timesEvaluated Postman testing methods and rate limit behavior implicationsKeep going in Claude CodeSwitch to Claude Code and let Claude work directiv in vour.repo. running and testing as it goesWrite a message…Hubspot rate limits reference - MDUse timeZone to interpret resetsAt from the dally erCheat sheet: profiling a new portal in PostmanThree calls, in order:1. GEl /account-into/vs/details → portalinto+GET /account-info/v3/api-usage/daily/privameaningful for private apps)3. Skip search probing — the 5/sec is fixedError response shape"status""error"."message": "You have reached your secondly 1"errorType": "RATE LIMIT","policyName": "SECONDLY"."...","requesttd".""nolncvname values.eeconniy =caareh huteter e/cer• TEN SECONDLY ROLLING - burst bucket (110/10sprivate)• DAILY — private apps dailv ceilingAlwavs inspect nolicvName on 429 to know which buchack offOther operational guidelines• Error responses must stay under 5% of total dailycertificationi• Polling endpoints: minimum interval 5 minutes.• Search auery. may 3. 000 chars may 18 Alters acroresults per query.• Ratch enânoints. 1in to 100 records ner call regdlaOpus 4.7 AdaptiveClaude ic Aland can make mictakec Plosce double-chork racnoncodhhl"supoont Dally • now100% L2Inu / May 10.04.42Q SearchYour team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaboration.GET read call •GET Get EngagemeNo environmentE Save~v COLLECtIONsv CRM Objectsv crm/vslobiects/obiect Twoe,> U batchv _ obiect Id)> • associations/{to Object Type)GET Read20, An error occurred.eg. successful operationDEL Archive> PATCH Update>GET List> POST Filter, Sort, and Search CRM Objects> CRM Owners> CRM Pinelinec> Dealsv Engagements› OLD ENGAGEMENTSGET list meetingsPOST search moditied companiesPOST search tackeGET read call> POST soarch callsGET list callsPOST meetings scheduledGET get meetinaPoSt aet link to tack• POST Create Contact with AssociatioHubsnotJournal & webhoooks v4post Get tokenGET det suoscriotionsPOST create subscrintiorGET Journal earliestGET Journal latestgeT httos:nuosoorGET noyt offcotPOST aet Token prodDEL DELETE CLIRCCDIDTION DEP DOPTAIICAMIDONMCNTC) spFcsELOWS@ Connect Git = Concole 5.l TermE Docs Params • Authorization • Headers 9 Body Scripts SettingsPre-requestPost-NWsponseUse JavaScript to configure this request dynamically.o Packages |404 Not Found • 162 ms • 1.2 KB • Ca<> Sniopetse.g. save kesponse ..•:statusdatecontent-typecf-rayct-cache-statuscache-controlstrict-transnort-securitvaccocc-control.allow-crodentinldserver-timinalx-hubspot-correlation-idy-hubenot-notfoundlwwnhonrrashlmmawx-hubspot-ratelimit-remainingx-hubspot-ratelimit-secondlv-remainingrenort-toAO4IThu. 07 May 2026 11:25:25 GMutext/html;charset=iso-8859-1Of7fdd2bea988428-SoFDYNAMICmuc crevallidate noerache noectoremaxcade-31536000- includeSubDomains: oreloadorigin. Accept-Encodingfalcehcid:desc="019e022f-77c3-7883-a217-66912667639f" cfr.desc="9f7fdd2c02ef3402-IAD"019e022f-77c3-7883-a217-bb912b67b39f10000f"ondnoints".[("url"."httnc-|Ma.nel.cloudflare com\/renort|/v42c-0020FQhENR8Hit@cRe2VRceAKmcQamurVFTlQvlKTttAKi"success fraction":0.01"report_to"."cf-nel""max age":604800Vault Tools?0 00...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp• •DOCKERO &1DEV (docker)H82APP (-zsh)viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedjiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]$0lohlSupport Daily • now100% <47DEV (docker)-zsh• $4screenpipe"8Thu 7 May 15:04:43-zshT₴1₴6•$55.95ms DONEDEV...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp• •DOCKERDEV (docker)H82APP (-zsh)viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedjiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]$0lohlSupport Daily • now100% <478DEV (docker)-zsh• $4screenpipe"•$55.95ms DONE-zshThu 7 May 15:05:05T₴1₴6DEV...
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* PostmanEditVIewWindowmelpHubSpot rate limit impl * PostmanEditVIewWindowmelpHubSpot rate limit implementation strategy vcan I call it trom postman 100 timesEvaluated Postman testing methods and rate limit behavior implications ›Yes. easily. Postman has a built-in Collection Runner for this.How to do it1. Save the request to a collection (right-click → Save)2. Click Run collection (the play icon next to the collection name) or open therunner from the bottom-left.3. Set Iterations: 100. Delay: 0 (or a small value like 50ms).4. Hit RunYou'll get a results view showing each iteration's status code response time and (ifyou click into them the headers.What vou'll actuallv seeCince vol connrmed May=110 Tinterval=t dddd•• At Oms delav. 100 iterations: Postman pushes calls as fast as TCP allows —typically 5-10 calls/second on a normal connection. You'll likelv see all 100succeed because 100 < 110 in 10 seconds, and each call's latency naturally spacesthings out. The X-HubSpot-RateLimit-Remaining header willdron from 109 →108 → 107 ... down to maybe ~10-20 by the end, then recover as the 10-secondwindow siides torward.• To deliberatelv hit a 429: set iterations to 120+ with Oms delav. You'llsee thenret ~l0 reruirn2o0. then 2 bulrct of 42es with nol ievlame:TEN SECONDIY ROLITNG• To test the search limit instead: point the request at a search endpoint (e.g..POST /crm/v3/obiects/contacts/search with aminimalbody).setiterationsto 10. delav to 0. You'll trigger 429s wi J plicyName: SECONDLY after the 5thcall within a second. Faster and cheader to reproduce than the burst limitKeep going in Claude CodeSwitch to Claude Code and let Claude work directiv in vour.repo. running and testing as it goesWrite a message…Opus 4. AdaptiveHubspot rate limits reference - MDUse timeZone to interpret resetsAt from the daily erCheat sheet: profiling a new portal in PostmanThree calls, in order:1. GEl /account-into/vs/details → portalinto +GET /account-info/v3/api-usage/daily/privameaningful for private apps)3. Skip search probing — the 5/sec is fixedError response shape"message": "You have reached your secondly 1"errorType": "RATE LIMIT","policyName": "SECONDLY"."correlationia": "...","requestId": "..."nolncvname values:• SECONDLY - search bucket (5/sec)• TEN SECONDLY ROLLING - burst bucket (110/10sprivate)• DAILY — private apps daily ceilingAlways inspect policyName on 429 to know which buchack offOther operational guidelines• Error responses must stay under 5% of total dailycertificationi• Polling endpoints: minimum interval 5 minutes.•Search query. may 3.000 chars. may 18 Alters acrorecullts ver query.• Ratch enânoints. 1in to 100 records ner call regdlahel"supoont Dally • now100% L2Thu 7 May 15:05:05Q SearchYour team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaboration.v COLLECtIONs> Associations V4•CMs - URL Redirecis APl collection> Comoanies• COMPADE› ContactsCRM ObIectscrm/v3/objects/Kobject Type)> @ batchv obiect Id!.> [ associations/{to Object Type)29. An error occurredeg. successful overation>DEL Archive> PATCH Update> GET List> POST Create> post Filter, Sort, and Search CRM Objects> CRM Owners> CRM Pipelines> DealsEngagements> OLD ENGAGEMENTSGET list meetinasPOST search modified companiesPOsT search tasksGET read call>post conrch cnlleGer list callspost meetinas scheculedGET det meetingpost get link to task• PosT Create Contact with Association> Hubspotpost Cot tokonGET det subscrintions.POST create subscriptionCAMIDONMCNTC> SPFCS>FLOWS@ Connect Git = Concold5.) TermGET ReadGET read call •GET Get EngagemeNo environmentCRM Obiects > crm/v3/obiects/{obiect Tvoe) > (obiect Id) > ReadlE Save~Toaseurl)) /crm/vs/objects/call/4801/1536580/properties=boby.internalmeetingnotescassociations=contacis,deals,companies= DocsParams • Authorization • Headers 9 Body Scripts SettingsAuth TypeTokenRearer TokenCookies((token})ine autnorization neader will oe automatically generated when:statusdatecontent-typecf-rayct-cache-statuscache-controlstrict-transnort-securitvaccess-control-allow-credentialsserver-timinalx-hubspot-correlation-idy-hubenot-notfoundlwwnhonrradhlmmawx-hubspot-ratelimit-remainingx-hubspot-ratelimit-secondlv-remainingrenort-toAOA Not Found • 162 ms • 1.2 KB • CтAe.g. save kesponse ..•AO4IThu. 07 May 2026 11:25:25 GMuwowt/htmlaharcatzicn.0060./Of7fdd2bea988428-SoFDYNAMICmuc crovaldate naerache noectoremax-age=31536000; includeSubDomains; preloadorigin. Accept-Encodingfalcehcid:desc="019e022f-77c3-7883-a217-66912667639f" cfr.desc="9f7fdd2c02ef3402-IAD"019e022f-77c3-7883-a217-bb912b67b39ftrue10000f"ondnoints".[("url"."httnc-|Ma.nel.cloudflare com\/renort|/v42c-0020FQhENR8Hit@cRe2VRceAKmcQamurVFTlQvlKTttAKi"success fraction":0.01"report_to"."cf-nel""max age":604800Vault Tools?0 00...
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* PostmanEditVIewWindowmelpHubSpot rate limit impl * PostmanEditVIewWindowmelpHubSpot rate limit implementation strategy vcan I call it trom postman 100 timesEvaluated Postman testing methods and rate limit behavior implications ›Yes. easily. Postman has a built-in Collection Runner for this.How to do it1. Save the request to a collection (right-click → Save).2. Click Run collection (the play icon next to the collection name) or open therunner from the bottom-left.3. Set Iterations: 100. Delay: 0 (or a small value like 50ms).4. Hit RunYou'll get a results view showing each iteration's status code response time and (ifyou click into them the headers.What vou'll actuallv seeCince vol connrmed May=110 Tinterval=t dddd•• At Oms delav. 100 iterations: Postman pushes calls as fast as TCP allows —typically 5-10 calls/second on a normal connection. You'll likelv see all 100succeed because 100 < 110 in 10 seconds, and each call's latency naturally spacesthings out. The X-HubSpot-RateLimit-Remaining header willdron from 109 →108 → 107 ... down to maybe ~10-20 by the end, then recover as the 10-secondwindow siides torward.• To deliberatelv hit a 429. set iterations to 120+ with Oms delav. You'llsee thenret ~l0 reruirn2o0. then 2 bulrct of 42es with nol ievname :TEN SECONDIY ROLITNG• To test the search limit instead: point the request at a search endpoint (e.g..POST /crm/v3/obiects/contacts/search with aminimalbody).setiterationsto 10. delav to 0. You'll trigger 429s wi J plicyName: SECONDLY after the 5thcall within a second. Faster and cheader to reproduce than the burst limitKeep going in Claude CodeSwitch to Claude Code and let Claude work directiv in vour.repo. running and testing as it goesWrite a message…Opus 4. AdaptiveHubspot rate limits reference - MDUse timeZone to interpret resetsAt from the daily erCheat sheet: profiling a new portal in PostmanThree calls, in order:1. GEl /account-into/vs/details → portalinto +GET /account-info/v3/api-usage/daily/privameaningful for private apps)3. Skip search probing — the 5/sec is fixedError response shape"message": "You have reached your secondly 1"errorType": "RATE LIMIT","policyName": "SECONDLY"."correlationia": "...","requestId": "..."nolncvname values:• SECONDLY - search bucket (5/sec)• TEN SECONDLY ROLLING - burst bucket (110/10sprivate)• DAILY — private apps daily ceilingAlways inspect policyName on 429 to know which buchack offOther operational guidelines• Error responses must stay under 5% of total dailycertificationi• Polling endpoints: minimum interval 5 minutes.•Search querv. may 3.000 chars may 18 flters acrorecullts ver query.• Ratch enânoints. 1in to 100 records ner call regdlahel"supoont Dally • now100% L2Thu 7 May 15:05:08Xx Hubspot vQ SearchYour team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaboration.v COLLECtIONs> Associations V4•CMs - URL Redirecis APl collection> Comoanies• COMPADE› ContactsCRM ObIects• crm/v3/objects/(object Type)> 0 batchv obiect Id!.> [ associations/{to Object Type)GET Read9.9: An error occurred.eg. successful overation>DEL Archive> PATCH Update>GET LISt> POST Create>post Filter, sort, and search CRM Objects> CRM Owners> CRM Pipelines> DealsEngagements> OLD ENGAGEMENTSGET list meetingsPOST search modified companiesPOsT search tasksGET read call>post conrch cnlleGer list callspost meetinas scheculedGET det meetingpost get link to task> post Create Contact with Association> Hubspotpost Cot tokonGEt det subscrintionsPOST create subscriptionCAMIDONMCNTC) spFcs>FLOWS• Connect Git = Concold5.) TermiPOST Read a batchGET ReadGET read call •GET Get EngagemeNo environmentCRM Obiects > crm/v3/obiects/{obiect Tvoe) > (obiect Id) > ReadlE Save~{(baseUrl)) /crm/v3/objects/ctJ1/480171536586?properties=boby.internalMeetingNotes&associations=contacts,deals,companies= DocsParams • Authorization • Headers 9 Body Scripts SettingsAuth TypeTokenRearer TokenCookies((token})The authorization header will be automatically generated whenHeaders 21 lest Results:statusdatecontent-typecf-rayct-cache-statuscache-controlstrict-transnort-securitvaccess-control-allow-credentialsserver-timinalx-hubspot-correlation-idy-hubenot-notfoundlwwnhonrrashlmmawx-hubspot-ratelimit-remainingx-hubspot-ratelimit-secondlv-remainingrenort-toAOA Not Found • 162 ms • 1.2 KB • CтAe.g. save kesponse ..•AO4IThu. 07 May 2026 11:25:25 GMuwowt/htmlaharcatzicn.0060./Of7fdd2bea988428-SoFDYNAMICmunc crevalaate naeeache noectoremax-age=31536000; includeSubDomains; preloadorigin. Accept-Encodingfalcehcid:desc="019e022f-77c3-7883-a217-66912667639f" cfr.desc="9f7fdd2c02ef3402-IAD"019e022f-77c3-7883-a217-bb912b67b39ftrue10000f"ondnoints".[("url"."httnc-|Ma.nel.cloudflare com\/renort|/v42c-0020FQhENR8Hit@cRe2VRceAKmcQamurVFTlQvlKTttAKi""success fraction":0.01."report_to"."cf-nel""max age":604800Vault Tools?0 00...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp• •DOCKERDEV (docker)H82APP (-zsh)viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedjiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]$0lohlSupport Daily • now100% <478DEV (docker)-zsh• $4screenpipe"•$55.95ms DONE-zshThu 7 May 15:05:08T₴1₴6DEV...
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PostmanEditVIewWindowmelpHubSpot rate limit impl PostmanEditVIewWindowmelpHubSpot rate limit implementation strategy vcan I call it trom postman 100 timesEvaluated Postman testing methods and rate limit behavior implications ›Yes. easily. Postman has a built-in Collection Runner for this.How to do it1. Save the request to a collection (right-click → Save).2. Click Run collection (the play icon next to the collection name) or open therunner from the bottom-left.3. Set Iterations: 100. Delay: 0 (or a small value like 50ms).4. Hit RunYou'll get a results view showing each iteration's status code response time and (ifyou click into them the headers.What vou'll actuallv seeCince vol connrmed May=110 Tinterval=t dddd•• At Oms delav. 100 iterations: Postman pushes calls as fast as TCP allows —typically 5-10 calls/second on a normal connection. You'll likelv see all 100succeed because 100 < 110 in 10 seconds, and each call's latency naturally spacesthings out. The X-HubSpot-RateLimit-Remaining header willdron from 109 →108 → 107 ... down to maybe ~10-20 by the end, then recover as the 10-secondwindow siides torward.• To deliberatelv hit a 429: set iterations to 120+ with Oms delav. You'llsee thenret ~l0 reruirn2o0. then 2 bulrct of 42es with nol ievname :TEN SECONDIY ROLITNG• To test the search limit instead: point the request at a search endpoint (e.g..POST /crm/v3/obiects/contacts/search with aminimalbody).setiterationsto 10. delav to 0. You'll trigger 429s wi J plicyName: SECONDLY after the 5thcall within a second. Faster and cheader to reproduce than the burst limitKeep going in Claude CodeSwitch to Claude Code and let Claude work directiv in vour.repo. running and testing as it goesWrite a message…Opus 4. AdaptiveHubspot rate limits reference - MDUse timeZone to interpret resetsAt from the daily erCheat sheet: profiling a new portal in PostmanThree calls, in order:1. GEl /account-into/vs/details → portalinto +GET /account-info/v3/api-usage/daily/privameaningful for private apps)3. Skip search probing — the 5/sec is fixedError response shape"message": "You have reached your secondly 1"errorType": "RATE LIMIT","policyName": "SECONDLY"."correlationia": "...","requestId": "..."nolncvname values:• SECONDLY - search bucket (5/sec)• TEN SECONDLY ROLLING - burst bucket (110/10sprivate)• DAILY — private apps daily ceilingAlways inspect policyName on 429 to know which buchack offOther operational guidelines• Error responses must stay under 5% of total dailycertificationi• Polling endpoints: minimum interval 5 minutes.•Search querv. may 3.000 chars may 18 flters acrorecullts ver query.• Ratch enânoints. 1in to 100 records ner call regdlahel"supoont Dally • now100% L2Thu 7 May 15:05:12Xx Hubspot vQ SearchYour team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaboration.v COLLECtIONs> Associations V4•CMs - URL Redirecis APl collection› Comoanies)• COMPADE› ContactsCRM ObIects• crm/v3/objects/(object Type)> 0 batchv obiect Id!.> [ associations/{to Object Type)GET Read9.9: An error occurredeg. successful overation>DEL Archive> PATCH Update>GET LISt> POST Create>post Filter, sort, and search CRM Objects> CRM Owners> CRM Pipelines> DealsEngagements> OLD ENGAGEMENTSGET list meetingsPOST search modified companiesPOsT search tasksGET read call>post conrch cnlleGer list callspost meetinas scheculedGET det meetingpost get link to task> post Create Contact with Association> Hubspotpost Cot tokonGET det subscrintions.POST create subscriptionCAMIDONMCNTC) spFcs>FLOWS• Connect Git = Concold5.) TermiGET ReadGET read call •No environmentCRM Obiects > crm/v3/obiects/{obiect Tvoel > (obiect Id) > ReadE Save~((baseUrl)} /crm/v3/objects/deal/480171g36586?properties=boby,internalMeetingNotes&associations=contacts,deals,companies= DocsParams • Authorization • Headers 8 Body Scripts SettinasAuth TypeTokenRearer TokenCookiesftoken))The authorization header will be automatically generated whenHeaders 21 lest Results:statusdatecontent-typecf-rayct-cache-statuscache-controlstrict-transnort-securitvaccess-control-allow-credentialsserver-timinalx-hubspot-correlation-idy-hubenot-notfoundwwnhonrradhlmmawx-hubspot-ratelimit-remainingx-hubspot-ratelimit-secondlv-remainingrenort-toAOA Not Found • 162 ms • 1.2 KB • CтAe.g. save kesponse ..•AO4IThu. 07 May 2026 11:25:25 GMuwowt/htmlaharcatzicn.0060./Of7fdd2bea988428-SoFDYNAMICmunc crevalaate naeeache noectoremax-age=31536000; includeSubDomains; preloadorigin. Accept-Encodingfalcahcid:desc="019e022f-77c3-7883-a217-66912667639f" cfr.desc="9f7fdd2c02ef3402-IAD"019e022f-77c3-7883-a217-bb912b67b39ftrue10000f"ondnoints".[("url"."httnc-|Ma.nel.cloudflare com\/renort|/v42c-0020FQhENR8Hit@cRe2VRceAKmcQamurVFTlQvlKTttAKi"success fraction":0.01"report_to"."cf-nel""max age":604800Vault Tools?000...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp• •DOCKERO &1DEV (docker)H82APP (-zsh)viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedjiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]$0lohlSupport Daily • now100% <47DEV (docker)-zsh• $4screenpipe"8Thu 7 May 15:05:12-zshT₴1₴6•$55.95ms DONEDEV...
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PostmanEditVIewWindowmelpHubSpot rate limit impl PostmanEditVIewWindowmelpHubSpot rate limit implementation strategy vcan I call it trom postman 100 timesEvaluated Postman testing methods and rate limit behavior implications ›Yes. easily. Postman has a built-in Collection Runner for this.How to do it1. Save the request to a collection (right-click → Save).2. Click Run collection (the play icon next to the collection name) or open therunner from the bottom-left.3. Set Iterations: 100. Delay: 0 (or a small value like 50ms).4. Hit RunYou'll get a results view showing each iteration's status code response time and (ifyou click into them the headers.What vou'll actuallv seeCince vol connrmed May=110 Tinterval=t dddd•• At Oms delav. 100 iterations: Postman pushes calls as fast as TCP allows —typically 5-10 calls/second on a normal connection. You'll likelv see all 100succeed because 100 < 110 in 10 seconds, and each call's latency naturally spacesthings out. The X-HubSpot-RateLimit-Remaining header willdron from 109 →108 → 107 ... down to maybe ~10-20 by the end, then recover as the 10-secondwindow siides torward.• To deliberatelv hit a 429: set iterations to 120+ with Oms delav. You'llsee thenret ~l0 reruirn2o0. then 2 bulrct of 42es with nol ievname :TEN SECONDIY ROLITNG• To test the search limit instead: point the request at a search endpoint (e.g..POST /crm/v3/obiects/contacts/search with aminimalbody).setiterationsto 10. delav to 0. You'll trigger 429s wi J plicyName: SECONDLY after the 5thcall within a second. Faster and cheader to reproduce than the burst limitKeep going in Claude CodeSwitch to Claude Code and let Claude work directiv in vour.repo. running and testing as it goesWrite a message…Opus 4. AdaptiveHubspot rate limits reference - MDUse timeZone to interpret resetsAt from the daily erCheat sheet: profiling a new portal in PostmanThree calls, in order:1. GEl /account-into/vs/details → portalinto +GET /account-info/v3/api-usage/daily/privameaningful for private apps)3. Skip search probing — the 5/sec is fixedError response shape"message": "You have reached your secondly 1"errorType": "RATE LIMIT","policyName": "SECONDLY"."correlationia": "...","requestId": "..."nolncvname values:• SECONDLY - search bucket (5/sec)• TEN SECONDLY ROLLING - burst bucket (110/10sprivate)• DAILY — private apps dailv ceilingAlways inspect policyName on 429 to know which buchack offOther operational guidelines• Error responses must stay under 5% of total dailycertificationi• Polling endpoints: minimum interval 5 minutes.•Search querv. may 3.000 chars may 18 flters acrorecullts ver query.• Ratch enânoints. 1in to 100 records ner call regdla40hhl"supoont Dally • now100% CThu 7 May 15:05:15Xx Hubspot vQ SearchYour team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaborationGET ReadGET read call •CRM Obiects > crm/v3/obiects/{obiect Tvoel > (obiect Id) > Read((oaseun} /crm/vs/objects/deal/4801/15365862properties=boby,internalMeetingNotes&associations=contacts,deals,companies= DocsParams • Authorization • Headers 8 Body Scripts SettinasAuth TypeRearer TokenTokenftoken))The authorization header will be automatically generated whenNo environmenta SavevCookiesv COLLECtIONs> Associations V4Cms - URL Kedirecis APl collection› Comoanies)• COMPADE› ContactsCRM ObIects• crm/v3/objects/(object Type)> 0 batchv obiect Id!.> [ associations/{to Object Type)GET Read9.9: An error occurredeg. successful overation>DEL Archive> PATCH Update>GET LISt> POST Create>post Filter, sort, and search CRM Objects> CRM Owners> CRM Pipelines> DealsEngagements> OLD ENGAGEMENTSGET list meetingsPOST search modified companiesPOsT search tasksGET read call>post conrch cnlleGer list callspost meetinas scheculedGET det meetingpost get link to task> post Create Contact with Association> Hubspotpost Cot tokonGET det subscrintions.POST create subscriptionCAMIDONMCNTG) spFcs>FLOWS• Connect Git = Concold5.) TermHeaders 21 lest ResultsAOA Not Found • 162 ms • 1.2 KB • CтAe.g. save kesponse ..:statusdatecontent-typecf-rayct-cache-statuscache-controlstrict-transnort-securitvaccess-control-allow-credentialsserver-timinalx-hubspot-correlation-idy-hubenot-notfoundwwnhonrradhlmmawx-hubspot-ratelimit-remainingx-hubspot-ratelimit-secondlv-remainingrenort-toAO4IThu. 07 May 2026 11:25:25 GMTwowt/htmlaharcatzicn.0060./Of7fdd2bea988428-SoFDYNAMICmuc crovaldate naerache noectoremax-age=31536000; includeSubDomains; preloadorigin. Accept-Encodingfalcahcid:desc="019e022f-77c3-7883-a217-66912667639" cfr.desc="9f7fdd2c02ef3402-IAD"true10000f"ondnoints".[("url"."httnc-WMa.nel.cloudflare com\/renort|/vA2c-0020FQhENRQHit@cRe2VRcoAKmcQamurVFTlQvlKTttAKi.|"success fraction":0.01"report_to"."cf-nel""max age":604800Vault Tools?000...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp• •DOCKERDEV (docker)H82APP (-zsh)viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedjiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]$0lohlSupport Daily • now100% <478DEV (docker)-zsh• $4screenpipe"•$55.95ms DONE-zshThu 7 May 15:05:15T₴1₴6DEV...
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* PostmanEditVIewWindowmelpHubSpot rate limit impl * PostmanEditVIewWindowmelpHubSpot rate limit implementation strategy vcan I call it trom postman 100 timesEvaluated Postman testing methods and rate limit behavior implications ›Yes. easily. Postman has a built-in Collection Runner for this.How to do it1. Save the request to a collection (right-click → Save)2. Click Run collection (the play icon next to the collection name) or open therunner from the bottom-left.3. Set Iterations: 100. Delay: 0 (or a small value like 50ms).4. Hit RunYou'll get a results view showing each iteration's status code response time and (ifyou click into them the headers.What vou'll actuallv seeCince vol connrmed May=110 Tinterval=t dddd•• At Oms delav. 100 iterations: Postman pushes calls as fast as TCP allows —typically 5-10 calls/second on a normal connection. You'll likelv see all 100succeed because 100 < 110 in 10 seconds, and each call's latency naturally spacesthings out. The X-HubSpot-RateLimit-Remaining header willdron from 109 →108 → 107 ... down to maybe ~10-20 by the end, then recover as the 10-secondwindow siides torward.• To deliberatelv hit a 429: set iterations to 120+ with Oms delav. You'llsee thenret ~l0 reruirn2o0. then 2 bulrct of 42es with nol ievname :TEN SECONDIY ROLITNG• To test the search limit instead: point the request at a search endpoint (e.g..POST /crm/v3/obiects/contacts/search with aminimalbody).setiterationsto 10. delav to 0. You'll trigger 429s wi J plicyName: SECONDLY after the 5thcall within a second. Faster and cheader to reproduce than the burst limitKeep going in Claude CodeSwitch to Claude Code and let Claude work directiv in vour.repo. running and testing as it goesWrite a message…Opus 4. AdaptiveHubspot rate limits reference - MDUse timeZone to interpret resetsAt from the daily erCheat sheet: profiling a new portal in PostmanThree calls, in order:1. GEl /account-into/vs/details → portalinto +GET /account-info/v3/api-usage/daily/privameaningful for private apps)3. Skip search probing — the 5/sec is fixedError response shape"message": "You have reached your secondly 1"errorType": "RATE LIMIT","policyName": "SECONDLY"."correlationia": "...","requestId": "..."nolncvname values:• SECONDLY - search bucket (5/sec)• TEN SECONDLY ROLLING - burst bucket (110/10sprivate)• DAILY — private apps daily ceilingAlways inspect policyName on 429 to know which buchack offOther operational guidelines• Error responses must stay under 5% of total dailycertificationi• Polling endpoints: minimum interval 5 minutes.•Search querv. may 3.000 chars may 18 flters acrorecullts ver query.• Ratch enânoints. 1in to 100 records ner call regdla40hel"supoont Dally • now100% L2Xx Hubspot vQ SearchYour team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaboration.CRM Obiects > crm/v3/obiects/{obiect Tvoel > (obiect Id) > Read((baseuri)} /crm/vs/objects/deal/4801/2p30580/ properties=dealname= DocsParams • Authorization • Headers 8 Body Scripts SettinasAuth TypeTokenRearer TokenThe authorization header will be automatically generated whenGET ReadGET read callGET Get Engagemeftoken))Thu 7 May 15:05:25UparadeNo environmentE Save~Cookiesv COLLECtIONs> Associations V4•CMs - URL Redirecis APl collection> Comoanies• COMPADE› ContactsCRM ObIects• crm/v3/objects/(object Type)> 0 batchv obiect Id!.> [ associations/{to Object Type)GET Read9.9: An error occurredeg. successful overation>DEL Archive> PATCH Update>GET LISt> POST Create>post Filter, sort, and search CRM Objects> CRM Owners> CRM Pipelines> DealsEngagements> OLD ENGAGEMENTSGET list meetingsPOST search modified companiesPOsT search tasksGET read callpost conrch cnlleGer list callspost meetinas scheculedGET det meetingpost get link to task> post Create Contact with Association> Hubspotpost Cot tokonGET det subscrintions.POST create subscriptionCAMIDONMCNTC) spFcs>FLOWS• Connect Git = Concold5.) TermHeaders 21 lest ResultsAOA Not Found • 162 ms • 1.2 KB • CтAe.g. save kesponse ..•:statusdatecontent-typecf-rayct-cache-statuscache-controlstrict-transnort-securitvaccess-control-allow-credentialsserver-timinalx-hubspot-correlation-idy-hubenot-notfoundwwnhonrrashlmmawx-hubspot-ratelimit-remainingx-hubspot-ratelimit-secondlv-remainingrenort-toAO4IThu. 07 May 2026 11:25:25 GMuwowt/htmlaharcatzicn.0060./Of7fdd2bea988428-SoFDYNAMICmunc crevalaate naeeache noectoremax-age=31536000; includeSubDomains; preloadorigin. Accept-Encodingfalcehcid:desc="019e022f-77c3-7883-a217-66912667639f" cfr.desc="9f7fdd2c02ef3402-IAD"019e022f-77c3-7883-a217-bb912b67b39ftrue10000f"ondnoints".[("url"."httnc-|Ma.nel.cloudflare com\/renort|/v42c-0020FQhENR8Hit@cRe2VRceAKmcQamurVFTlQvlKTttAKi""success fraction":0.01."report_to"."cf-nel""max age":604800Vault Tools?0 00...
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iTerm2• •ShellEditViewSessionScriptsProfilesWindow iTerm2• •ShellEditViewSessionScriptsProfilesWindowHelp$0lohlSupport Daily • now100% [8DEV (docker)DOCKERDEV (docker)H82APP (-zsh)-zsh• $4screenpipe"-zshThu 7 May 15:05:25T₴1₴6viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedjiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]5.95ms DONEDEV...
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Today
$this->getNewInstance()->crm()->dea Today
$this->getNewInstance()->crm()->deals()->basicApi()->getById(
$crmId
$this->client->getOpportunityById($params['crm_id'], $fields);
374720564
374720564
$crmService
$team = Team::find(19);…
rateLimit
$deal
makeRequest
21351
374720564
$body
$interval
$remaining
$max
$max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // "110"…
$max = $response->header('X-HubSpot-RateLimit-Max');…
/**…
374720564
Information
Source...
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PostmanEditVIewWindowmelpHubSpot rate limit impl PostmanEditVIewWindowmelpHubSpot rate limit implementation strategy vcan I call it trom postman 100 timesEvaluated Postman testing methods and rate limit behavior implications ›Yes. easily. Postman has a built-in Collection Runner for this.How to do it1. Save the request to a collection (right-click → Save)2. Click Run collection (the play icon next to the collection name) or open therunner from the bottom-left.3. Set Iterations: 100. Delay: 0 (or a small value like 50ms).4. Hit RunYou'll get a results view showing each iteration's status code response time and (ifyou click into them the headers.What vou'll actuallv seeCince vol connrmed May=110 Tinterval=t dddd•• At Oms delav. 100 iterations: Postman pushes calls as fast as TCP allows —typically 5-10 calls/second on a normal connection. You'll likelv see all 100succeed because 100 < 110 in 10 seconds, and each call's latency naturally spacesthings out. The X-HubSpot-RateLimit-Remaining header willdron from 109 →108 → 107 ... down to maybe ~10-20 by the end, then recover as the 10-secondwindow siides torward.• To deliberatelv hit a 429: set iterations to 120+ with Oms delav. You'llsee thenret ~l0 reruirn2o0. then 2 bulrct of 42es with nol ievname :TEN SECONDIY ROLITNG• To test the search limit instead: point the request at a search endpoint (e.g..POST /crm/v3/obiects/contacts/search with aminimalbody).setiterationsto 10. delav to 0. You'll trigger 429s wi J plicyName: SECONDLY after the 5thcall within a second. Faster and cheader to reproduce than the burst limitKeep going in Claude CodeSwitch to Claude Code and let Claude work directiv in vour.repo. running and testing as it goesWrite a message…Opus 4. AdaptiveHubspot rate limits reference - MDUse timeZone to interpret resetsAt from the daily erCheat sheet: profiling a new portal in PostmanThree calls, in order:1. GEl /account-into/vs/details → portalinto +GET /account-info/v3/api-usage/daily/privameaningful for private apps)3. Skip search probing — the 5/sec is fixedError response shape"message": "You have reached your secondly 1"errorType": "RATE LIMIT","policyName": "SECONDLY"."correlationia": "...","requestId": "..."nolncvname values:• SECONDLY - search bucket (5/sec)• TEN SECONDLY ROLLING - burst bucket (110/10sprivate)• DAILY — private apps daily ceilingAlways inspect policyName on 429 to know which buchack offOther operational guidelines• Error responses must stay under 5% of total dailycertificationi• Polling endpoints: minimum interval 5 minutes.•Search querv. may 3.000 chars may 18 flters acrorecullts ver query.• Ratch enânoints. 1in to 100 records ner call regdlahel"supoont Dally • now100% L2Thu 7 May 15:05:30Xx Hubspot vQ SearchUparadeYour team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaboration.v COLLECtIONs> Associations V4•CMs - URL Redirecis APl collection> Comoanies• COMPADE› ContactsCRM ObIects• crm/v3/objects/(object Type)> 0 batchv obiect Id!.> [ associations/{to Object Type)GET Read9.9: An error occurredeg. successful overation>DEL Archive> PATCH Update>GET LISt> POST Create>post Filter, sort, and search CRM Objects> CRM Owners> CRM Pipelines> DealsEngagements> OLD ENGAGEMENTSGET list meetingsPOST search modified companiesPOsT search tasksGET read call>post conrch cnlleGer list callspost meetinas scheculedGET det meetingpost get link to task> post Create Contact with Association> Hubspotpost Cot tokonGET det subscrintions.POST create subscriptionCAMIDONMCNTC) spFcs>FLOWS• Connect Git = Concold5.) TermGET ReadGET read callGET Get EngagemeGET httos:/lapi.hutNo environmentCRM Obiects > crm/v3/obiects/{obiect Tvoel > (obiect Id) > Reada Savev({baseUrl)) /crm/v3/objects/deal/374720564?properties=dealname= DocsParams • Authorization • Headers 8 Body Scripts SettinasAuth TypeTokenRearer TokenCookiesftoken))The authorization header will be automatically generated whenHeaders 21 lest Results:statusdatecontent-typecf-rayct-cache-statuscache-controlstrict-transnort-securitvaccess-control-allow-credentialsserver-timinalx-hubspot-correlation-idy-hubenot-notfoundwwnhonrrashlmmawx-hubspot-ratelimit-remainingx-hubspot-ratelimit-secondlv-remainingrenort-toAOA Not Found • 162 ms • 1.2 KB • CтAe.g. save kesponse ..AO4IThu. 07 May 2026 11:25:25 GMutext/html;charset=iso-8859-1Of7fdd2bea988428-SoFDYNAMICmunc crevalaate naeeache noectoremax-age=31536000; includeSubDomains; preloadorigin. Accept-Encodingfalcehcid:desc="019e022f-77c3-7883-a217-66912667639f" cfr.desc="9f7fdd2c02ef3402-IAD"019e022f-77c3-7883-a217-bb912b67b39f10000f"ondnoints".[("url"."httnc-|Ma.nel.cloudflare com\/renort|/v42c-0020FQhENR8Hit@cRe2VRceAKmcQamurVFTlQvlKTttAKi""success fraction":0.01."report_to"."cf-nel""max age":604800Vault Tools?0 00...
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PostmanFileEditViewWindowHelp‹$0lohlSupport Daily PostmanFileEditViewWindowHelp‹$0lohlSupport Daily • now100% <478DEV (docker)DOCKERDEV (docker)H82APP (-zsh)-zsh• $4screenpipe"•$55.95ms DONE-zshThu 7 May 15:05:30T81₴6viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedJiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]DEV...
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* PostmanEditVIewWindowmelpHubSpot rate limit impl * PostmanEditVIewWindowmelpHubSpot rate limit implementation strategy vcan I call it trom postman 100 timesEvaluated Postman testing methods and rate limit behavior implications ›Yes. easily. Postman has a built-in Collection Runner for this.How to do it1. Save the request to a collection (right-click → Save).2. Click Run collection (the play icon next to the collection name) or open therunner from the bottom-left.3. Set Iterations: 100. Delay: 0 (or a small value like 50ms).4. Hit RunYou'll get a results view showing each iteration's status code response time and (ifyou click into them the headers.What vou'll actuallv seeCince vol connrmed May=110 Tinterval=t dddd•• At Oms delav. 100 iterations: Postman pushes calls as fast as TCP allows —typically 5-10 calls/second on a normal connection. You'll likelv see all 100succeed because 100 < 110 in 10 seconds, and each call's latency naturally spacesthings out. The X-HubSpot-RateLimit-Remaining header willdron from 109 →108 → 107 ... down to maybe ~10-20 by the end, then recover as the 10-secondwindow siides torward.• To deliberatelv hit a 429: set iterations to 120+ with Oms delav. You'llsee thenret ~l0 reruirn2o0. then 2 bulrct of 42es with nol ievlame:TEN SECONDIY ROLITNG• To test the search limit instead: point the request at a search endpoint (e.g..POST /crm/v3/obiects/contacts/search with aminimalbody).setiterationsto 10. delav to 0. You'll trigger 429s wi J plicyName: SECONDLY after the 5thcall within a second. Faster and cheader to reproduce than the burst limitKeep going in Claude CodeSwitch to Claude Code and let Claude work directiv in vour.repo. running and testing as it goesWrite a message…Opus 4. AdaptiveHubspot rate limits reference - MDUse timeZone to interpret resetsAt from the daily erCheat sheet: profiling a new portal in PostmanThree calls, in order:1. GEl /account-into/v3/details → portalinto+GET /account-info/v3/api-usage/daily/privmeaningful for private apps)3. Skip search probing — the 5/sec is fixedError response shape"message": "You have reached your secondly 1"errorType": "RATE LIMIT","policyName": "SECONDLY"."correlationia": "...","requestId": "..."nolncvname values.• SECONDLY - search bucket (5/sec)• TEN SECONDLY ROLLING - burst bucket (110/10sprivate)• DAILY — private apps daily ceilingAlways inspect policyName on 429 to know which buchack offOther operational guidelines• Error responses must stay under 5% of total dailycertificationi• Polling endpoints: minimum interval 5 minutes.•Search querv. may 3.000 chars may 18 flters acrorecullts ver query.• Ratch enânoints. 1in to 100 records ner call regdla40hel"supoont Dally • now100% L2Inu / May 10.00.34Q SearchUparadeYour team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaboration.v COLLECtIONs> Associations V4Cms - URL Kedirecis APl collection> Comoanies• COMPADE› ContactsCRM ObIectscrm/v3/objects/Kobject Type)> @ batchv obiect Id!.associations/to Obiect lypeGET Read9.9: An error occurredeg. successful overation>DEL Archive> PATCH Update> GET List> POST Create> post Filter, Sort, and Search CRM Objects> CRM Owners> CRM Pipelines> DealsEngagements> OLD ENGAGEMENTSGET list meetingsPOST search modified companiesPOsT search tasksGET read callpost conrch cnlleGer list callsPOST meetings scheduledGET det meetingpost get link to task• PosT Create Contact with Association> Hubspotpost Cot tokonGET det subscrintions.POST create subscriptionCAMIDONMCNTC> SPFCSELOWS@ Connect Git = Concold5.) TerminGET ReadGET read callGET Get EngagemeNo environmentCRM Obiects > crm/v3/obiects/{obiect Tvoe) > (obiect Id) > ReadlE Save~= DocsParams • Authorization • Headers 9 Body Scripts SettinasCookiesAuth TypeRearer TokenToken((token})ine autnorization neader will oe automatically generated when:statusdatecontent-typecontent-lenathlct-ravef-cache-statusstrict-transnort-securitvaccocc-control.allow-crodentinldserver-timingx-hubspot-auth-failurey-hubenot-corrolation.idset-cookiereport-toserve401 Unauthorized : 1/6ms • 1.39 KB • Ce.g. save kesponse ..•Thu. 07 May 2026 12:05:31 GMTapplication//son.charset=utf.o918017e40a2ca9eb-So"DYNAMIGmaxcade-31536000• includeSubDomains: nreloadoriain. Accept-Encodinafalcohcid:desc="019e0254-264c-7ee4-8c8e-363d1cc04771" cfr.desc="9f8017e4d2213402-SOF"A01 Hnouthorisodl01060054.26Л6.7001.9696.26221с604771cfbm=wxclN@1oxbatva@bws1ln9THM_16UclznHS92BORUYU-1778155531-1.011-5v642bnOiOuloVX 8IXHCloG7MY1TS..("endpoints": [("url"."https:/V/a.nel.cloudflare.com/reportVv4?s=ZQ9t8HrFEwg1tr%2BACGmQpavmkLYNN0BDrsaLOpZNfZ.f"cuccece fraction".0 01 "renort to"."cf-nel""may ane".604900}Globals Vault Tools?000...
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PostmanFileEditViewWindowHelp‹$0lohlSupport Daily PostmanFileEditViewWindowHelp‹$0lohlSupport Daily • now100% <478DEV (docker)DOCKERDEV (docker)H82APP (-zsh)-zsh• $4screenpipe"•$55.95ms DONE-zshThu 7 May 15:05:33T81₴6viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedjiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]DEV...
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PostmanEditVIewWindowmelpHubSpot rate limit impl PostmanEditVIewWindowmelpHubSpot rate limit implementation strategy vcan I call it trom postman 100 timesEvaluated Postman testing methods and rate limit behavior implications ›Yes. easily. Postman has a built-in Collection Runner for this.How to do it1. Save the request to a collection (right-click → Save).2. Click Run collection (the play icon next to the collection name) or open therunner from the bottom-left.3. Set Iterations: 100. Delay: 0 (or a small value like 50ms).4. Hit RunYou'll get a results view showing each iteration's status code response time and (ifyou click into them the headers.What vou'll actuallv seeCince vol connrmed May=110 Tinterval=t dddd•• At Oms delav. 100 iterations: Postman pushes calls as fast as TCP allows —typically 5-10 calls/second on a normal connection. You'll likelv see all 100succeed because 100 < 110 in 10 seconds, and each call's latency naturally spacesthings out. The X-HubSpot-RateLimit-Remaining header willdron from 109 →108 → 107 ... down to maybe ~10-20 by the end, then recover as the 10-secondwindow siides torward.• To deliberatelv hit a 429: set iterations to 120+ with Oms delav. You'llsee thenret ~l0 reruirn2o0. then 2 bulrct of 42es with nol ievname :TEN SECONDIY ROLITNG• To test the search limit instead: point the request at a search endpoint (e.g..POST /crm/v3/obiects/contacts/search with aminimalbody).setiterationsto 10. delav to 0. You'll trigger 429s wi J plicyName: SECONDLY after the 5thcall within a second. Faster and cheader to reproduce than the burst limitKeep going in Claude CodeSwitch to Claude Code and let Claude work directiv in vour.repo. running and testing as it goesWrite a message…Opus 4. AdaptiveHubspot rate limits reference - MDUse timeZone to interpret resetsAt from the daily erCheat sheet: profiling a new portal in PostmanThree calls, in order:1. GEl /account-into/v3/details → portalinto+GET /account-info/v3/api-usage/daily/privameaningful for private apps)3. Skip search probing — the 5/sec is fixedError response shape"message": "You have reached your secondly 1"errorType": "RATE LIMIT","policyName": "SECONDLY"."requestId": "..."nolncvname values:• SECONDLY - search bucket (5/sec)• TEN SECONDLY ROLLING - burst bucket (110/10sprivate)• DAILY — private apps daily ceilingAlways inspect policyName on 429 to know which buchack offOther operational guidelines• Error responses must stay under 5% of total dailycertificationi• Polling endpoints: minimum interval 5 minutes.•Search querv. may 3.000 chars may 18 flters acrorecullts ver query.• Ratch enânoints. 1in to 100 records ner call regdlaSo h o"suppont Dally • nowQ SearchYour team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaborationCRM Obiects > crm/v3/obiects/{obiect Tvoe) > (obiect Id) > Readl= DocsParams • Authorization • Headers 9 Body Scripts SettingsAuth TypeRearer TokenTokenine autnorization neader will oe automatically generated whenGET read callGET Get Engageme((token})100% CThu 7 May 15:05:34No environng Savev COLLECtIONs> Associations V4Cms - URL Kedirecis APl collection> Comoanies• COMPARE› ContactsCRM ObIectscrm/v3/objects/Kobject Type)> @ batchv obiect Id!.> [ associations/{to Object Type)v GET Read9.9: An error occurredeg. successful overation>DEL Archive> PATCH Update> GET List> POST Create> post Filter, Sort, and Search CRM Objects• CRM Owners.> CRM Pipelines> DealsEngagements> OLD ENGAGEMENTSGet list meetinasPOST search modified companiesPOsT search tasksGET read callpost conrch cnlleGer list callsPOST meetings scheduledGET det meetingpost get link to task• PosT Create Contact with Association> Hubspot~ Journal & webhoooks v4post Cot tokonGET det subscrintions.eost arooto enbecrintiorCAMIDONMCNTC> SPFCSELOWS@ Connect Git = ConcoldCookiesCookiesS JSON v• PrevievSo Pass the correct auth credentialsOuth tokon ucod to make this call expired 24 minute(s) ago.".#2026-05-07711-41-20 17171401 Unauthorized • 176 ms • 1.39 KB • (a eg. Save Response51=Q108Globals Vault Tools?000...
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[2026-05-07 12:03:07] local.INFO: [Commands/AsyncUpdateEsEntities] Starting ES update worker {"pid":26157,"workerId":"","target":"activities"} {"correlation_id":"e68f798f-4d05-40ac-8f04-b7dbbbc7e020","trace_id":"422ccc24-6ea8-4e30-946f-f0906ebb85af"}
[2026-05-07 12:03:10] local.INFO: [SocialAccountService] Fetching token {"socialAccountId":1499,"provider":"hubspot"} {"correlation_id":"0df0e813-5910-4f27-a46f-a733edcaf9fb","trace_id":"59b607ca-83b6-49c3-ad98-bf052cab9a7a"}
[2026-05-07 12:03:10] local.INFO: [SocialAccountService] Token retrieved {"socialAccountId":1499,"provider":"hubspot"} {"correlation_id":"0df0e813-5910-4f27-a46f-a733edcaf9fb","trace_id":"59b607ca-83b6-49c3-ad98-bf052cab9a7a"}
[2026-05-07 12:03:10] local.INFO: [EncryptedTokenManager] Generating access token. {"mode":"legacy"} {"correlation_id":"0df0e813-5910-4f27-a46f-a733edcaf9fb","trace_id":"59b607ca-83b6-49c3-ad98-bf052cab9a7a"}
[2026-05-07 12:03:10] local.INFO: [CrmOwnerResolver] Integration owner matched as CRM Owner {"crm_provider":"hubspot","crm_owner":148,"team_id":2} {"correlation_id":"0df0e813-5910-4f27-a46f-a733edcaf9fb","trace_id":"59b607ca-83b6-49c3-ad98-bf052cab9a7a"}
[2026-05-07 12:03:12] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"meeting-bot:schedule-bot","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"3b7b8bb2-5f23-4a05-8ec9-5213b705afb2","trace_id":"0011fd88-5fd6-4856-b35a-e5238a32d1a0"}
[2026-05-07 12:03:12] local.INFO: [ScheduleBotCommand] Number of activities to be captured: 0 {"correlation_id":"3b7b8bb2-5f23-4a05-8ec9-5213b705afb2","trace_id":"0011fd88-5fd6-4856-b35a-e5238a32d1a0"}
[2026-05-07 12:03:12] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"meeting-bot:schedule-bot","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"3b7b8bb2-5f23-4a05-8ec9-5213b705afb2","trace_id":"0011fd88-5fd6-4856-b35a-e5238a32d1a0"}
[2026-05-07 12:03:13] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"dialers:monitor-activities","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"36be6521-0402-4d31-a1cd-c304a95eff7d","trace_id":"b871a282-02ab-4aab-8265-430d0f43a920"}
[2026-05-07 12:03:13] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"dialers:monitor-activities","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"36be6521-0402-4d31-a1cd-c304a95eff7d","trace_id":"b871a282-02ab-4aab-8265-430d0f43a920"}
[2026-05-07 12:03:15] local.NOTICE: Monitoring start {"correlation_id":"531cf4d9-0422-40a1-8c65-a4dce203efea","trace_id":"508b8f65-22ab-486c-858f-aab8320d2a3d"}
[2026-05-07 12:03:15] local.NOTICE: Monitoring end {"correlation_id":"531cf4d9-0422-40a1-8c65-a4dce203efea","trace_id":"508b8f65-22ab-486c-858f-aab8320d2a3d"}
[2026-05-07 12:03:16] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"mailbox:skip-lists:refresh","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"f7081c66-d8a5-4c39-bcf0-f30f9449e23e","trace_id":"91a88794-abb0-42e9-bd8f-19a7a0d41879"}
[2026-05-07 12:03:17] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"mailbox:skip-lists:refresh","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"f7081c66-d8a5-4c39-bcf0-f30f9449e23e","trace_id":"91a88794-abb0-42e9-bd8f-19a7a0d41879"}
[2026-05-07 12:03:18] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"mailbox:batch:process","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"d0f59bcc-281c-4f6d-bf8b-bf458c3c1bb3","trace_id":"e943109d-e6dd-4b1a-8504-912a6ceec20f"}
[2026-05-07 12:03:18] local.INFO: [EmailSchedule] STARTING batch process {"host":"docker_lamp_1"} {"correlation_id":"d0f59bcc-281c-4f6d-bf8b-bf458c3c1bb3","trace_id":"e943109d-e6dd-4b1a-8504-912a6ceec20f"}
[2026-05-07 12:03:18] local.INFO: [EmailSchedule] FINISHED batch process {"host":"docker_lamp_1","processed":0} {"correlation_id":"d0f59bcc-281c-4f6d-bf8b-bf458c3c1bb3","trace_id":"e943109d-e6dd-4b1a-8504-912a6ceec20f"}
[2026-05-07 12:03:18] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"mailbox:batch:process","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"d0f59bcc-281c-4f6d-bf8b-bf458c3c1bb3","trace_id":"e943109d-e6dd-4b1a-8504-912a6ceec20f"}
[2026-05-07 12:03:22] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"mailbox:batch:retry-failed","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"54679d4b-cf57-4e5d-9ed5-88982b34ae34","trace_id":"7e095086-9fc6-4f20-8f02-9bcdabca5db1"}
[2026-05-07 12:03:22] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"mailbox:batch:retry-failed","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"54679d4b-cf57-4e5d-9ed5-88982b34ae34","trace_id":"7e095086-9fc6-4f20-8f02-9bcdabca5db1"}
[2026-05-07 12:04:04] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"meeting-bot:schedule-bot","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"46345330-889e-48d9-9bab-f1a09f196131","trace_id":"74a39714-7a99-4658-9b53-06f58358c874"}
[2026-05-07 12:04:04] local.INFO: [ScheduleBotCommand] Number of activities to be captured: 0 {"correlation_id":"46345330-889e-48d9-9bab-f1a09f196131","trace_id":"74a39714-7a99-4658-9b53-06f58358c874"}
[2026-05-07 12:04:04] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"meeting-bot:schedule-bot","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"46345330-889e-48d9-9bab-f1a09f196131","trace_id":"74a39714-7a99-4658-9b53-06f58358c874"}
[2026-05-07 12:04:05] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"dialers:monitor-activities","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"0b9341b2-c615-4b91-8499-dabd330e4cc2","trace_id":"45c7af0d-bdfe-48d2-ac41-068d668b19ea"}
[2026-05-07 12:04:05] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"dialers:monitor-activities","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"0b9341b2-c615-4b91-8499-dabd330e4cc2","trace_id":"45c7af0d-bdfe-48d2-ac41-068d668b19ea"}
[2026-05-07 12:04:08] local.NOTICE: Monitoring start {"correlation_id":"e37e77f6-d59f-419e-b047-41f6ebafb0c1","trace_id":"c978fc86-25da-42a1-8a5f-59c83bf738f4"}
[2026-05-07 12:04:08] local.NOTICE: Monitoring end {"correlation_id":"e37e77f6-d59f-419e-b047-41f6ebafb0c1","trace_id":"c978fc86-25da-42a1-8a5f-59c83bf738f4"}
[2026-05-07 12:04:10] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"mailbox:skip-lists:refresh","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"c827fd94-547e-476c-a1cc-c89d293a8e2e","trace_id":"c9d68c76-6cff-409d-8b8c-ab7fd108f4d7"}
[2026-05-07 12:04:10] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"mailbox:skip-lists:refresh","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"c827fd94-547e-476c-a1cc-c89d293a8e2e","trace_id":"c9d68c76-6cff-409d-8b8c-ab7fd108f4d7"}
[2026-05-07 12:04:11] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"mailbox:batch:process","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"26cc808f-0dad-4cc2-a329-888a123d6bc8","trace_id":"f2b26d26-210b-4d9c-bfa1-a141dd6a8db5"}
[2026-05-07 12:04:11] local.INFO: [EmailSchedule] STARTING batch process {"host":"docker_lamp_1"} {"correlation_id":"26cc808f-0dad-4cc2-a329-888a123d6bc8","trace_id":"f2b26d26-210b-4d9c-bfa1-a141dd6a8db5"}
[2026-05-07 12:04:11] local.INFO: [EmailSchedule] FINISHED batch process {"host":"docker_lamp_1","processed":0} {"correlation_id":"26cc808f-0dad-4cc2-a329-888a123d6bc8","trace_id":"f2b26d26-210b-4d9c-bfa1-a141dd6a8db5"}
[2026-05-07 12:04:11] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"mailbox:batch:process","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"26cc808f-0dad-4cc2-a329-888a123d6bc8","trace_id":"f2b26d26-210b-4d9c-bfa1-a141dd6a8db5"}
[2026-05-07 12:04:13] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"conference:monitor:count","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"68bcee7a-27ed-418a-824a-561fd2b38b8f","trace_id":"259819c2-7296-4c04-9c1c-66a0c25481c3"}
[2026-05-07 12:04:13] local.INFO: Running conference:monitor:count command for activities in (2026-05-07 12:02:00, 2026-05-07 12:04:00] {"correlation_id":"68bcee7a-27ed-418a-824a-561fd2b38b8f","trace_id":"259819c2-7296-4c04-9c1c-66a0c25481c3"}
[2026-05-07 12:04:13] local.INFO: [conference:monitor:count] No activities found in (2026-05-07 12:02:00, 2026-05-07 12:04:00] {"correlation_id":"68bcee7a-27ed-418a-824a-561fd2b38b8f","trace_id":"259819c2-7296-4c04-9c1c-66a0c25481c3"}
[2026-05-07 12:04:13] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"conference:monitor:count","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"68bcee7a-27ed-418a-824a-561fd2b38b8f","trace_id":"259819c2-7296-4c04-9c1c-66a0c25481c3"}
[2026-05-07 12:05:06] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"meeting-bot:schedule-bot","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"8c69347c-1810-488f-a610-77d0fdfc765a","trace_id":"c13b57fc-b919-4189-be12-a3a3b37b8b3f"}
[2026-05-07 12:05:06] local.INFO: [ScheduleBotCommand] Number of activities to be captured: 0 {"correlation_id":"8c69347c-1810-488f-a610-77d0fdfc765a","trace_id":"c13b57fc-b919-4189-be12-a3a3b37b8b3f"}
[2026-05-07 12:05:06] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"meeting-bot:schedule-bot","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"8c69347c-1810-488f-a610-77d0fdfc765a","trace_id":"c13b57fc-b919-4189-be12-a3a3b37b8b3f"}
[2026-05-07 12:05:12] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"dialers:monitor-activities","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"d9a40e6c-830d-46c7-a1e6-61dcbe5108b8","trace_id":"6fbe7708-1920-4590-8b39-530624ba5ccb"}
[2026-05-07 12:05:12] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"dialers:monitor-activities","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"d9a40e6c-830d-46c7-a1e6-61dcbe5108b8","trace_id":"6fbe7708-1920-4590-8b39-530624ba5ccb"}
[2026-05-07 12:05:14] local.NOTICE: Monitoring start {"correlation_id":"03da249c-dc1b-44ee-914b-87191fcd3ad7","trace_id":"ea6f55af-dbe0-48f0-a6d4-109356313258"}
[2026-05-07 12:05:14] local.NOTICE: Monitoring end {"correlation_id":"03da249c-dc1b-44ee-914b-87191fcd3ad7","trace_id":"ea6f55af-dbe0-48f0-a6d4-109356313258"}
[2026-05-07 12:05:16] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"mailbox:skip-lists:refresh","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"50692ce6-c010-4bee-a960-bd4e05d275c0","trace_id":"3243a003-7abf-4385-8d63-b9b062eedda5"}
[2026-05-07 12:05:16] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"mailbox:skip-lists:refresh","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"50692ce6-c010-4bee-a960-bd4e05d275c0","trace_id":"3243a003-7abf-4385-8d63-b9b062eedda5"}
[2026-05-07 12:05:19] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"mailbox:batch:process","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"b5dcac00-0c43-479d-ae4e-2bdba60b3186","trace_id":"f2e402bd-cdb2-49c3-ae5d-50946e974e48"}
[2026-05-07 12:05:19] local.INFO: [EmailSchedule] STARTING batch process {"host":"docker_lamp_1"} {"correlation_id":"b5dcac00-0c43-479d-ae4e-2bdba60b3186","trace_id":"f2e402bd-cdb2-49c3-ae5d-50946e974e48"}
[2026-05-07 12:05:19] local.INFO: [EmailSchedule] FINISHED batch process {"host":"docker_lamp_1","processed":0} {"correlation_id":"b5dcac00-0c43-479d-ae4e-2bdba60b3186","trace_id":"f2e402bd-cdb2-49c3-ae5d-50946e974e48"}
[2026-05-07 12:05:19] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"mailbox:batch:process","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"b5dcac00-0c43-479d-ae4e-2bdba60b3186","trace_id":"f2e402bd-cdb2-49c3-ae5d-50946e974e48"}
[2026-05-07 12:05:20] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"activity:purge-stale","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"1a7c26c3-5ea8-40bf-a270-d1fa2adb0fe1","trace_id":"b235668b-b93d-497c-9d18-d51b90f5cfd1"}
[2026-05-07 12:05:20] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"activity:purge-stale","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"1a7c26c3-5ea8-40bf-a270-d1fa2adb0fe1","trace_id":"b235668b-b93d-497c-9d18-d51b90f5cfd1"}
[2026-05-07 12:05:23] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"mailbox:text-relay:sync","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"bcf94421-86bd-49a6-957b-b7ac1675d258","trace_id":"382fa307-4352-4751-8eaa-805fcb9c302e"}
[2026-05-07 12:05:23] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"mailbox:text-relay:sync","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"bcf94421-86bd-49a6-957b-b7ac1675d258","trace_id":"382fa307-4352-4751-8eaa-805fcb9c302e"}
[2026-05-07 12:05:27] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"conference:pre-meeting-notification","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"c755776f-7cea-43b6-8f21-8ca75db0f6f1","trace_id":"ee4fd995-5012-4db2-a6eb-f65f0116cb9e"}
[2026-05-07 12:05:28] local.INFO: Running pre-meeting notification command {"correlation_id":"c755776f-7cea-43b6-8f21-8ca75db0f6f1","trace_id":"ee4fd995-5012-4db2-a6eb-f65f0116cb9e"}
[2026-05-07 12:05:28] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"conference:pre-meeting-notification","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"c755776f-7cea-43b6-8f21-8ca75db0f6f1","trace_id":"ee4fd995-5012-4db2-a6eb-f65f0116cb9e"}
[2026-05-07 12:05:30] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"conference:monitor:start","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"726c983f-5739-4710-8193-5f1940de6ad8","trace_id":"33ffeb25-fc65-4f68-8596-f830655d246b"}
[2026-05-07 12:05:30] local.INFO: Running conference:monitor:start command for activities in (2026-05-07 11:55:00, 2026-05-07 12:00:00] {"correlation_id":"726c983f-5739-4710-8193-5f1940de6ad8","trace_id":"33ffeb25-fc65-4f68-8596-f830655d246b"}
[2026-05-07 12:05:30] local.INFO: [conference:monitor:start] No activities found in (2026-05-07 11:55:00, 2026-05-07 12:00:00] {"correlation_id":"726c983f-5739-4710-8193-5f1940de6ad8","trace_id":"33ffeb25-fc65-4f68-8596-f830655d246b"}
[2026-05-07 12:05:30] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"conference:monitor:start","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"726c983f-5739-4710-8193-5f1940de6ad8","trace_id":"33ffeb25-fc65-4f68-8596-f830655d246b"}
[2026-05-07 12:05:32] local.INFO: Jiminny\Console\Commands\Command::run Memory usage before starting command {"command":"conference:monitor:end","memoryBeforeCommandInMb":62.0,"memoryPeakBeforeCommandInMb":99.727} {"correlation_id":"5d24fea1-32ac-4634-95a5-48eec6367aa9","trace_id":"b20a0d89-7566-44be-bdd0-e0f79a8e034b"}
[2026-05-07 12:05:32] local.INFO: conference:monitor:end:Jiminny\Console\Commands\Activities\MonitorMeetingEndCommand::logActivitiesEnded {"from":"12:00","to":"12:05"} {"correlation_id":"5d24fea1-32ac-4634-95a5-48eec6367aa9","trace_id":"b20a0d89-7566-44be-bdd0-e0f79a8e034b"}
[2026-05-07 12:05:32] local.INFO: conference:monitor:end:Jiminny\Console\Commands\Activities\MonitorMeetingEndCommand::logActivitiesWithUnfinishedSession {"from":"01:55","to":"02:00"} {"correlation_id":"5d24fea1-32ac-4634-95a5-48eec6367aa9","trace_id":"b20a0d89-7566-44be-bdd0-e0f79a8e034b"}
[2026-05-07 12:05:32] local.INFO: Jiminny\Console\Commands\Command::run Memory usage for command {"command":"conference:monitor:end","memoryBeforeCommandInMb":62.0,"memoryAfterCommandInMB":62.0,"memoryPeakBeforeCommandInMb":99.727,"memoryPeakAfterCommandInMB":99.727} {"correlation_id":"5d24fea1-32ac-4634-95a5-48eec6367aa9","trace_id":"b20a0d89-7566-44be-bdd0-e0f79a8e034b"}
[2026-05-07 12:05:35] local.NOTICE: Repairing HubSpot tokens start {"correlation_id":"545546a7-d5fb-4922-9c92-110fce3014c1","trace_id":"b087bc16-5f4e-4e38-8334-30e4b50b918a"}
[2026-05-07 12:05:35] local.INFO: Trying to refresh HubSpot token {"account_id":59,"updated_at":"2025-10-03 09:32:05"} {"correlation_id":"545546a7-d5fb-4922-9c92-110fce3014c1","trace_id":"b087bc16-5f4e-4e38-8334-30e4b50b918a"}
[2026-05-07 12:05:35] local.INFO: [EncryptedTokenManager] Generating access token. {"mode":"legacy"} {"correlation_id":"545546a7-d5fb-4922-9c92-110fce3014c1","trace_id":"b087bc16-5f4e-4e38-8334-30e4b50b918a"}
[2026-05-07 12:05:35] local.INFO: [SocialAccountService] Refreshing token from provider {"socialAccountId":59,"provider":"hubspot","refreshToken":"97b78f6e2cc49965c00c2492b602b02708b1392551e6b3f113fbaa48992af90b","state":"full-refresh"} {"correlation_id":"545546a7-d5fb-4922-9c92-110fce3014c1","trace_id":"b087bc16-5f4e-4e38-8334-30e4b50b918a"}
[2026-05-07 12:05:36] local.ERROR: Failed to refresh HubSpot token {"account_id":59,"updated_at":"2025-10-03 09:32:05","reason":"missing or invalid refresh token","previous":""} {"correlation_id":"545546a7-d5fb-4922-9c92-110fce3014c1","trace_id":"b087bc16-5f4e-4e38-8334-30e4b50b918a"}
[2026-05-07 12:05:36] local.INFO: Trying to refresh HubSpot token {"account_id":306,"updated_at":"2023-11-27 09:30:03"} {"correlation_id":"545546a7-d5fb-4922-9c92-110fce3014c1","trace_id":"b087bc16-5f4e-4e38-8334-30e4b50b918a"}
[2026-05-07 12:05:36] local.INFO: [EncryptedTokenManager] Generating access token. {"mode":"legacy"} {"correlation_id":"545546a7-d5fb-4922-9c92-110fce3014c1","trace_id":"b087bc16-5f4e-4e38-8334-30e4b50b918a"}
[2026-05-07 12:05:36] local.INFO: [SocialAccountService] Refreshing token from provider {"socialAccountId":306,"provider":"hubspot","refreshToken":"6fa6aa8cc641d131231acc3470f5c03cb3b07b2e580fb18f8acb3b1dbb72549b","state":"full-refresh"} {"correlation_id":"545546a7-d5fb-4922-9c92-110fce3014c1","trace_id":"b087bc16-5f4e-4e38-8334-30e4b50b918a"}
[2026-05-07 12:05:36] local.ERROR: Failed to refresh HubSpot token {"account_id":306,"updated_at":"2023-11-27 09:30:03","reason":"missing or invalid refresh token","previous":""} {"correlation_id":"545546a7-d5fb-4922-9c92-110fce3014c1","trace_id":"b087bc16-5f4e-4e38-8334-30e4b50b918a"}
[2026-05-07 12:05:36] local.INFO: Trying to refresh HubSpot token {"account_id":1372,"updated_at":"2025-10-02 14:47:06"} {"correlation_id":"545546a7-d5fb-4922-9c92-110fce3014c1","trace_id":"b087bc16-5f4e-4e38-8334-30e4b50b918a"}
[2026-05-07 12:05:36] local.INFO: [EncryptedTokenManager] Generating access token. {"mode":"legacy"} {"correlation_id":"545546a7-d5fb-4922-9c92-110fce3014c1","trace_id":"b087bc16-5f4e-4e38-8334-30e4b50b918a"}
[2026-05-07 12:05:36] local.INFO: [SocialAccountService] Refreshing token from provider {"socialAccountId":1372,"provider":"hubspot","refreshToken":"9aa73948c761da29dce46c177cf9aee1fde483a44169ca38723f9f0597d7a8c4","state":"full-refresh"} {"correlation_id":"545546a7-d5fb-4922-9c92-110fce3014c1","trace_id":"b087bc16-5f4e-4e38-8334-30e4b50b918a"}
[2026-05-07 12:05:36] local.ERROR: Failed to refresh HubSpot token {"account_id":1372,"updated_at":"2025-10-02 14:47:06","reason":"missing or invalid refresh token","previous":""} {"correlation_id":"545546a7-d5fb-4922-9c92-110fce3014c1","trace_id":"b087bc16-5f4e-4e38-8334-30e4b50b918a"}
[2026-05-07 12:05:36] local.NOTICE: Repairing HubSpot tokens end {"total":3,"fixed":0,"failed":3} {"correlation_id":"545546a7-d5fb-4922-9c92-110fce3014c1","trace_id":"b087bc16-5f4e-4e38-8334-30e4b50b918a"}
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<?php
declare(strict_types=1);
namespace Jiminny\Services\Crm\Hubspot;
use HubSpot\Client\Crm\Deals\ApiException as DealApiException;
use HubSpot\Client\Crm\Contacts\ApiException as ContactApiException;
use HubSpot\Client\Crm\Companies\ApiException as CompanyApiException;
use HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectWithAssociations as ContactsWithAssociations;
use HubSpot\Client\Crm\Companies\Model\SimplePublicObjectWithAssociations as CompaniesWithAssociations;
use HubSpot\Client\Crm\Deals\Model\SimplePublicObjectWithAssociations as DealWithAssociations;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectInput;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectWithAssociations as ObjectWithAssociations;
use HubSpot\Client\Crm\Pipelines\Model\Error;
use HubSpot\Client\Crm\Pipelines\Model\PipelineStage;
use HubSpot\Client\Crm\Properties\Model\Property;
use HubSpot\Discovery\Discovery;
use Jiminny\Component\Utility\Service\ProviderRateLimiter;
use Jiminny\Exceptions\CrmException;
use Jiminny\Exceptions\RateLimitException;
use Jiminny\Exceptions\SocialAccountTokenInvalidException;
use Jiminny\Jobs\Crm\NoteObject;
use Jiminny\Models\Crm\Field;
use Jiminny\Services\Crm\BaseClient;
use Jiminny\Services\Crm\Hubspot\DTO\Response\Owner;
use Jiminny\Services\SocialAccountService;
use SevenShores\Hubspot\Exceptions\BadRequest;
use SevenShores\Hubspot\Exceptions\HubspotException;
use SevenShores\Hubspot\Factory;
use SevenShores\Hubspot\Http\Response;
use Jiminny\Services\Crm\Hubspot\Pagination\HubspotPaginationService;
use Throwable;
/**
* @phpstan-type CrmFieldOption array{id:string, label:string, value?:string}
*/
class Client extends BaseClient implements HubspotClientInterface
{
public const string MIN_API_VERSION = '2';
public const string BASE_URL = '[URL_WITH_CREDENTIALS] T
* @param callable(): T $apiCall
* @return T
*
* @throws RateLimitException
*/
private function executeRequest(callable $apiCall)
{
if (! $this->rateLimiter->canMakeRequest($this->config)) {
$retryAfter = $this->rateLimiter->requestAvailableIn($this->config);
$this->log->warning('[Hubspot] Rate limit exceeded, deferring request', [
'team_id' => $this->config->team_id,
'config_id' => $this->config->getId(),
'retry_after' => $retryAfter,
]);
throw new RateLimitException(
'Hubspot rate limit reached for configuration ' . $this->config->getId(),
$retryAfter,
);
}
$this->rateLimiter->incrementRequestCount($this->config);
try {
return $apiCall();
} catch (Throwable $e) {
if ($this->isHubspotRateLimit($e)) {
$retryAfter = $this->parseRetryAfter($e);
$this->log->warning('[Hubspot] Received 429 from API', [
'team_id' => $this->config->team_id,
'config_id' => $this->config->getId(),
'retry_after' => $retryAfter,
'reason' => $e->getMessage(),
]);
throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);
}
throw $e;
}
}
private function isHubspotRateLimit(Throwable $e): bool
{
return method_exists($e, 'getCode') && (int) $e->getCode() === 429;
}
private function parseRetryAfter(Throwable $e): int
{
if (method_exists($e, 'getResponseHeaders')) {
$headers = $e->getResponseHeaders() ?: [];
$value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;
if (is_array($value)) {
$value = $value[0] ?? null;
}
if (is_numeric($value)) {
return (int) $value;
}
}
return 10;
}
public function getMinimumApiVersion(): string
{
return self::MIN_API_VERSION;
}
public function getInstance(): Factory
{
return new Factory([
'key' => $this->accessToken,
'oauth2' => true,
'base_url' => $this->baseUrl,
]);
}
public function getNewInstance(): Discovery
{
return \HubSpot\Factory::createWithAccessToken($this->accessToken);
}
/**
* Secondly and daily limits for Hubspot API
*
* Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)
* Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds
* Daily: 250,000 | 500,000 | 1,000,000
*
* Official documentation states: The search endpoints are rate limited to five requests per second.
* Since with 5 RPS were still hitting secondly rate limits we lowered it to 4
*/
public function getPaginatedData(array $payload, string $type, int $offset = 0): array
{
$total = 0;
$lastId = null;
$rows = [];
foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {
$rows[] = $row;
}
return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];
}
/**
* @throws HubspotException
* @throws SocialAccountTokenInvalidException
* @throws BadRequest
*/
public function getPaginatedDataGenerator(
array $payload,
string $type,
int $offset = 0,
int &$total = 0,
?string &$lastRecordId = null
): \Generator {
return $this->paginationService->getPaginatedDataGenerator(
$this,
$payload,
$type,
$offset,
$total,
$lastRecordId
);
}
/**
* @throws DealApiException
* @throws CrmException
*/
public function getOpportunityById(string $crmId, array $fields): array
{
try {
// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$crmId,
implode(',', $fields),
'companies,contacts'
);
} catch (DealApiException $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $deal instanceof DealWithAssociations) {
throw new CrmException('Deal not found');
}
return [
'id' => $deal->getId(),
'properties' => $deal->getProperties(),
'associations' => $deal->getAssociations(),
];
}
/**
* Generic batch read method for HubSpot objects
*
* @param string $objectType The object type ('deals', 'companies', 'contacts')
* @param array<string> $crmIds Array of HubSpot object IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with object data
*/
private function batchReadObjects(string $objectType, array $crmIds, array $fields): array
{
if (empty($crmIds)) {
return [];
}
$this->validateBatchSize($objectType, $crmIds);
$this->ensureValidToken();
try {
$batchConfig = $this->createBatchConfiguration($objectType);
$batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);
$response = $batchConfig['api']->read($batchReadRequest);
$this->validateApiResponse($response, $objectType);
$results = $this->processApiResults($response);
$this->logBatchResults($objectType, $crmIds, $results);
return $results;
} catch (\Throwable $e) {
$this->handleBatchError($e, $objectType, $crmIds);
}
}
private function validateBatchSize(string $objectType, array $crmIds): void
{
if (count($crmIds) > 100) {
throw new \InvalidArgumentException("Batch size cannot exceed 100 {$objectType}");
}
}
private function createBatchConfiguration(string $objectType): array
{
$configurations = [
'deals' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Deals\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Deals\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->deals()->batchApi(),
],
'companies' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Companies\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Companies\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->companies()->batchApi(),
],
'contacts' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Contacts\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),
],
];
if (! isset($configurations[$objectType])) {
throw new \InvalidArgumentException("Unsupported object type: {$objectType}");
}
return $configurations[$objectType];
}
private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object
{
$batchReadRequest = $batchConfig['batchReadRequest'];
$inputClass = $batchConfig['inputClass'];
$inputs = array_map(function ($crmId) use ($inputClass) {
$input = new $inputClass();
$input->setId($crmId);
return $input;
}, $crmIds);
$batchReadRequest->setInputs($inputs);
$batchReadRequest->setProperties($fields);
return $batchReadRequest;
}
private function validateApiResponse($response, string $objectType): void
{
if (! $response) {
throw new CrmException("HubSpot API returned null response for {$objectType} batch read");
}
}
private function processApiResults($response): array
{
$results = [];
$responseResults = $response->getResults();
if ($responseResults) {
foreach ($responseResults as $object) {
if ($object && $object->getId()) {
$results[$object->getId()] = [
'id' => $object->getId(),
'properties' => $object->getProperties() ?: [],
];
}
}
}
return $results;
}
private function logBatchResults(string $objectType, array $crmIds, array $results): void
{
$this->log->info("[HubSpot] Batch fetched {$objectType}", [
'requested_count' => count($crmIds),
'returned_count' => count($results),
'crm_ids' => $crmIds,
]);
}
private function handleBatchError(\Throwable $e, string $objectType, array $crmIds): void
{
$errorMessage = $e->getMessage() ?: 'Unknown error';
$errorTrace = $e->getTraceAsString() ?: 'No trace available';
$this->log->error("[HubSpot] Failed to batch fetch {$objectType}", [
'crm_ids' => $crmIds,
'error' => $errorMessage,
'trace' => $errorTrace,
]);
throw new CrmException("Failed to batch fetch {$objectType}: " . $errorMessage);
}
/**
* Batch read multiple opportunities by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot deal IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with opportunity data
*/
public function getOpportunitiesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('deals', $crmIds, $fields);
}
/**
* Batch read multiple companies by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot company IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with company data
*/
public function getCompaniesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('companies', $crmIds, $fields);
}
/**
* Batch read multiple contacts by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot contact IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with contact data
*/
public function getContactsByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('contacts', $crmIds, $fields);
}
/**
* @throws CompanyApiException
* @throws CrmException
*/
public function getAccountById(string $crmId, array $fields): array
{
try {
$company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(
$crmId,
implode(',', $fields),
);
} catch (CompanyApiException $e) {
$this->log->info('[Hubspot] Failed to fetch account', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $company instanceof CompaniesWithAssociations) {
throw new CrmException('Account not found');
}
return [
'id' => $company->getId(),
'properties' => $company->getProperties(),
];
}
/**
* @throws ContactApiException
* @throws CrmException
*/
public function getContactById(string $crmId, array $fields): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$crmId,
implode(',', $fields)
);
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $contact instanceof ContactsWithAssociations) {
throw new CrmException('Contact not found');
}
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
}
/**
* This is email search request that Hubspot offers as GET (more generous quota)
*/
public function getContactByEmail(string $email, array $fields = []): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$email,
implode(',', $fields),
null,
false,
'email'
);
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'email' => $email,
'reason' => $e->getMessage(),
]);
return [];
}
}
/**
* @throws CrmException
*/
public function fetchProperty(string $objectType, string $propertyId): Property
{
$result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);
if (! $result instanceof Property) {
$this->log->error('[Hubspot] Failed to fetch property', [
'object_type' => $objectType,
'property_id' => $propertyId,
'reason' => $result->getMessage(),
]);
throw new CrmException('Failed to fetch property');
}
return $result;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchPropertyOptions(string $objectType, string $propertyId): array
{
/** @var array<CrmFieldOption> */
return $this->fetchProperty($objectType, $propertyId)->getOptions();
}
/**
* @return array<array{id:string, label:string, deleted:bool}>
*/
public function fetchCallDispositions(): array
{
/** @var Response $response */
$response = $this->getInstance()->engagements()->getCallDispositions();
/**
* @var array<array{
* id:string,
* label:string,
* deleted: bool
* }>
*/
return $response->toArray();
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityPipelineStages(): array
{
$stages = [];
$apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');
if ($apiResponse instanceof Error) {
$this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $apiResponse->getMessage(),
]);
return [];
}
foreach ($apiResponse->getResults() as $pipeline) {
$pipelineStages = array_map(
static function (PipelineStage $stage) {
return [
'id' => $stage->getId(),
'label' => $stage->getLabel(),
];
},
$pipeline->getStages()
);
$stages = array_merge($stages, $pipelineStages);
}
return $stages;
}
public function fetchOpportunityPipelines(): array
{
$pipelines = [];
try {
$apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');
} catch (\Exception $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $e->getMessage(),
]);
return [];
}
$response = $apiResponse->toArray();
foreach ($response['results'] as $pipeline) {
$pipelines[] = [
'id' => $pipeline['id'],
'label' => $pipeline['label'],
];
}
return $pipelines;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchMeetingOutcomeFieldOptions(Field $field): array
{
return $field->getCrmProviderId() === 'meetingOutcome'
? $this->fetchMeetingOutcomeTypes()
: $this->fetchCallActivityTypes();
}
public function fetchMeetingOutcomeTypes(): array
{
return $this->extractMeetingTypeOptions(
'[URL_WITH_CREDENTIALS] Response $response */
$response = $this->getInstance()
->getClient()
->request('GET', $endpoint);
/**
* @var array<array{
* value: string,
* label: string,
* displayOrder: int
* }> $optionData
*/
$optionData = $response->toArray()['options'] ?? [];
$options = [];
foreach ($optionData as $item) {
$options[] = [
'id' => $item['value'],
'value' => $item['value'],
'label' => $item['label'],
'display_order' => $item['displayOrder'],
];
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchDispositionFieldOptions(): array
{
$options = [];
$dispositions = $this->fetchCallDispositions();
foreach ($dispositions as $disposition) {
if ($disposition['deleted'] !== false) {
continue;
}
$option['value'] = $disposition['id'];
$option['id'] = $disposition['id'];
$option['label'] = $disposition['label'];
$options[] = $option;
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityFieldOptions(Field $field): array
{
if ($field->isStageField()) {
return $this->fetchOpportunityPipelineStages();
}
if ($field->isPipelineField()) {
return $this->fetchOpportunityPipelines();
}
return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)
{
$endpoint = self::BASE_URL . $endpoint;
if ($method === 'GET') {
$response = $this->getInstance()->getClient()?->request(
method: $method,
endpoint: $endpoint,
query_string: $queryString
);
} else {
$response = $this->getInstance()->getClient()->request($method, $endpoint, [
'json' => ($payload),
]);
}
$max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // "110"
$remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // "109"
$interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // "10000"
$body = json_decode((string) $response->getBody(), true);
\Illuminate\Support\Facades\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));
\Illuminate\Support\Facades\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));
\Illuminate\Support\Facades\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));
\Illuminate\Support\Facades\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));
return $response;
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function createMeeting(array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings';
return $this->makeRequest($endpoint, 'POST', $payload);
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function updateMeeting(string $meetingId, array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings/' . $meetingId;
return $this->makeRequest($endpoint, 'PATCH', $payload);
}
/**
* @throws \Exception
*/
public function createNote(
string $body,
string $ownerId,
int $timestamp,
string $objectId,
NoteObject $noteObject
): ?string {
try {
$noteInput = new SimplePublicObjectInput([
'properties' => [
'hs_note_body' => $body,
'hubspot_owner_id' => $ownerId,
'hs_timestamp' => $timestamp,
],
]);
// Create note
$note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);
$this->getNewInstance()->crm()->objects()->associationsApi()->create(
'note',
$note->getId(),
$this->getNoteObject($noteObject),
$objectId,
$this->getNoteAssociationType($noteObject),
);
return $note->getId();
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to create note', [
'objectId' => $objectId,
'noteObject' => $noteObject->getObjectType(),
'reason' => $e->getMessage(),
]);
\Sentry::captureException($e);
}
return null;
}
public function updateEngagement(string $objectId, array $engagement, array $metadata): void
{
$this->getInstance()->engagements()->update($objectId, $engagement, $metadata);
}
public function getEngagementData(string $engagementId): array
{
$engagement = $this->getInstance()->engagements()->get($engagementId);
return $engagement->toArray();
}
public function createEngagement(array $engagement, array $associations, array $metadata): Response
{
return $this->getInstance()
->engagements()
->create($engagement, $associations, $metadata);
}
public function isUnauthorizedException(\Exception $e): bool
{
// Check for specific HubSpot API exception types first
if ($e instanceof BadRequest) {
// BadRequest can contain 401 status codes
return $e->getCode() === 401;
}
// Check for HTTP client exceptions with status codes
if ($e instanceof \GuzzleHttp\Exception\RequestException && $e->hasResponse()) {
$response = $e->getResponse();
...
|
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# [PASSWORD_DOTS] HS [PASSWORD_DOTS]
select * from teams where id = 2; # 2
select * from features; # 2
select * from team_features where team_id = 2; # 2
select * from crm_configurations where id = 2; # 2
select * from users where team_id = 2; #
select * from playbooks where team_id = 2; # event 38
select * from playbook_categories where playbook_id = 38; #
SELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id is not null order by id desc;
[URL_WITH_CREDENTIALS] CrmFieldOption array{id:string, label:string, value?:string}
*/
class Client extends BaseClient implements HubspotClientInterface
{
public const string MIN_API_VERSION = '2';
public const string BASE_URL = '[URL_WITH_CREDENTIALS] T
* @param callable(): T $apiCall
* @return T
*
* @throws RateLimitException
*/
private function executeRequest(callable $apiCall)
{
if (! $this->rateLimiter->canMakeRequest($this->config)) {
$retryAfter = $this->rateLimiter->requestAvailableIn($this->config);
$this->log->warning('[Hubspot] Rate limit exceeded, deferring request', [
'team_id' => $this->config->team_id,
'config_id' => $this->config->getId(),
'retry_after' => $retryAfter,
]);
throw new RateLimitException(
'Hubspot rate limit reached for configuration ' . $this->config->getId(),
$retryAfter,
);
}
$this->rateLimiter->incrementRequestCount($this->config);
try {
return $apiCall();
} catch (Throwable $e) {
if ($this->isHubspotRateLimit($e)) {
$retryAfter = $this->parseRetryAfter($e);
$this->log->warning('[Hubspot] Received 429 from API', [
'team_id' => $this->config->team_id,
'config_id' => $this->config->getId(),
'retry_after' => $retryAfter,
'reason' => $e->getMessage(),
]);
throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);
}
throw $e;
}
}
private function isHubspotRateLimit(Throwable $e): bool
{
return method_exists($e, 'getCode') && (int) $e->getCode() === 429;
}
private function parseRetryAfter(Throwable $e): int
{
if (method_exists($e, 'getResponseHeaders')) {
$headers = $e->getResponseHeaders() ?: [];
$value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;
if (is_array($value)) {
$value = $value[0] ?? null;
}
if (is_numeric($value)) {
return (int) $value;
}
}
return 10;
}
public function getMinimumApiVersion(): string
{
return self::MIN_API_VERSION;
}
public function getInstance(): Factory
{
return new Factory([
'key' => $this->accessToken,
'oauth2' => true,
'base_url' => $this->baseUrl,
]);
}
public function getNewInstance(): Discovery
{
return \HubSpot\Factory::createWithAccessToken($this->accessToken);
}
/**
* Secondly and daily limits for Hubspot API
*
* Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)
* Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds
* Daily: 250,000 | 500,000 | 1,000,000
*
* Official documentation states: The search endpoints are rate limited to five requests per second.
* Since with 5 RPS were still hitting secondly rate limits we lowered it to 4
*/
public function getPaginatedData(array $payload, string $type, int $offset = 0): array
{
$total = 0;
$lastId = null;
$rows = [];
foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {
$rows[] = $row;
}
return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];
}
/**
* @throws HubspotException
* @throws SocialAccountTokenInvalidException
* @throws BadRequest
*/
public function getPaginatedDataGenerator(
array $payload,
string $type,
int $offset = 0,
int &$total = 0,
?string &$lastRecordId = null
): \Generator {
return $this->paginationService->getPaginatedDataGenerator(
$this,
$payload,
$type,
$offset,
$total,
$lastRecordId
);
}
/**
* @throws DealApiException
* @throws CrmException
*/
public function getOpportunityById(string $crmId, array $fields): array
{
try {
// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$crmId,
implode(',', $fields),
'companies,contacts'
);
} catch (DealApiException $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $deal instanceof DealWithAssociations) {
throw new CrmException('Deal not found');
}
return [
'id' => $deal->getId(),
'properties' => $deal->getProperties(),
'associations' => $deal->getAssociations(),
];
}
/**
* Generic batch read method for HubSpot objects
*
* @param string $objectType The object type ('deals', 'companies', 'contacts')
* @param array<string> $crmIds Array of HubSpot object IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with object data
*/
private function batchReadObjects(string $objectType, array $crmIds, array $fields): array
{
if (empty($crmIds)) {
return [];
}
$this->validateBatchSize($objectType, $crmIds);
$this->ensureValidToken();
try {
$batchConfig = $this->createBatchConfiguration($objectType);
$batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);
$response = $batchConfig['api']->read($batchReadRequest);
$this->validateApiResponse($response, $objectType);
$results = $this->processApiResults($response);
$this->logBatchResults($objectType, $crmIds, $results);
return $results;
} catch (\Throwable $e) {
$this->handleBatchError($e, $objectType, $crmIds);
}
}
private function validateBatchSize(string $objectType, array $crmIds): void
{
if (count($crmIds) > 100) {
throw new \InvalidArgumentException("Batch size cannot exceed 100 {$objectType}");
}
}
private function createBatchConfiguration(string $objectType): array
{
$configurations = [
'deals' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Deals\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Deals\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->deals()->batchApi(),
],
'companies' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Companies\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Companies\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->companies()->batchApi(),
],
'contacts' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Contacts\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),
],
];
if (! isset($configurations[$objectType])) {
throw new \InvalidArgumentException("Unsupported object type: {$objectType}");
}
return $configurations[$objectType];
}
private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object
{
$batchReadRequest = $batchConfig['batchReadRequest'];
$inputClass = $batchConfig['inputClass'];
$inputs = array_map(function ($crmId) use ($inputClass) {
$input = new $inputClass();
$input->setId($crmId);
return $input;
}, $crmIds);
$batchReadRequest->setInputs($inputs);
$batchReadRequest->setProperties($fields);
return $batchReadRequest;
}
private function validateApiResponse($response, string $objectType): void
{
if (! $response) {
throw new CrmException("HubSpot API returned null response for {$objectType} batch read");
}
}
private function processApiResults($response): array
{
$results = [];
$responseResults = $response->getResults();
if ($responseResults) {
foreach ($responseResults as $object) {
if ($object && $object->getId()) {
$results[$object->getId()] = [
'id' => $object->getId(),
'properties' => $object->getProperties() ?: [],
];
}
}
}
return $results;
}
private function logBatchResults(string $objectType, array $crmIds, array $results): void
{
$this->log->info("[HubSpot] Batch fetched {$objectType}", [
'requested_count' => count($crmIds),
'returned_count' => count($results),
'crm_ids' => $crmIds,
]);
}
private function handleBatchError(\Throwable $e, string $objectType, array $crmIds): void
{
$errorMessage = $e->getMessage() ?: 'Unknown error';
$errorTrace = $e->getTraceAsString() ?: 'No trace available';
$this->log->error("[HubSpot] Failed to batch fetch {$objectType}", [
'crm_ids' => $crmIds,
'error' => $errorMessage,
'trace' => $errorTrace,
]);
throw new CrmException("Failed to batch fetch {$objectType}: " . $errorMessage);
}
/**
* Batch read multiple opportunities by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot deal IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with opportunity data
*/
public function getOpportunitiesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('deals', $crmIds, $fields);
}
/**
* Batch read multiple companies by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot company IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with company data
*/
public function getCompaniesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('companies', $crmIds, $fields);
}
/**
* Batch read multiple contacts by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot contact IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with contact data
*/
public function getContactsByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('contacts', $crmIds, $fields);
}
/**
* @throws CompanyApiException
* @throws CrmException
*/
public function getAccountById(string $crmId, array $fields): array
{
try {
$company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(
$crmId,
implode(',', $fields),
);
} catch (CompanyApiException $e) {
$this->log->info('[Hubspot] Failed to fetch account', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $company instanceof CompaniesWithAssociations) {
throw new CrmException('Account not found');
}
return [
'id' => $company->getId(),
'properties' => $company->getProperties(),
];
}
/**
* @throws ContactApiException
* @throws CrmException
*/
public function getContactById(string $crmId, array $fields): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$crmId,
implode(',', $fields)
);
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $contact instanceof ContactsWithAssociations) {
throw new CrmException('Contact not found');
}
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
}
/**
* This is email search request that Hubspot offers as GET (more generous quota)
*/
public function getContactByEmail(string $email, array $fields = []): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$email,
implode(',', $fields),
null,
false,
'email'
);
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'email' => $email,
'reason' => $e->getMessage(),
]);
return [];
}
}
/**
* @throws CrmException
*/
public function fetchProperty(string $objectType, string $propertyId): Property
{
$result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);
if (! $result instanceof Property) {
$this->log->error('[Hubspot] Failed to fetch property', [
'object_type' => $objectType,
'property_id' => $propertyId,
'reason' => $result->getMessage(),
]);
throw new CrmException('Failed to fetch property');
}
return $result;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchPropertyOptions(string $objectType, string $propertyId): array
{
/** @var array<CrmFieldOption> */
return $this->fetchProperty($objectType, $propertyId)->getOptions();
}
/**
* @return array<array{id:string, label:string, deleted:bool}>
*/
public function fetchCallDispositions(): array
{
/** @var Response $response */
$response = $this->getInstance()->engagements()->getCallDispositions();
/**
* @var array<array{
* id:string,
* label:string,
* deleted: bool
* }>
*/
return $response->toArray();
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityPipelineStages(): array
{
$stages = [];
$apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');
if ($apiResponse instanceof Error) {
$this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $apiResponse->getMessage(),
]);
return [];
}
foreach ($apiResponse->getResults() as $pipeline) {
$pipelineStages = array_map(
static function (PipelineStage $stage) {
return [
'id' => $stage->getId(),
'label' => $stage->getLabel(),
];
},
$pipeline->getStages()
);
$stages = array_merge($stages, $pipelineStages);
}
return $stages;
}
public function fetchOpportunityPipelines(): array
{
$pipelines = [];
try {
$apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');
} catch (\Exception $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $e->getMessage(),
]);
return [];
}
$response = $apiResponse->toArray();
foreach ($response['results'] as $pipeline) {
$pipelines[] = [
'id' => $pipeline['id'],
'label' => $pipeline['label'],
];
}
return $pipelines;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchMeetingOutcomeFieldOptions(Field $field): array
{
return $field->getCrmProviderId() === 'meetingOutcome'
? $this->fetchMeetingOutcomeTypes()
: $this->fetchCallActivityTypes();
}
public function fetchMeetingOutcomeTypes(): array
{
return $this->extractMeetingTypeOptions(
'[URL_WITH_CREDENTIALS] Response $response */
$response = $this->getInstance()
->getClient()
->request('GET', $endpoint);
/**
* @var array<array{
* value: string,
* label: string,
* displayOrder: int
* }> $optionData
*/
$optionData = $response->toArray()['options'] ?? [];
$options = [];
foreach ($optionData as $item) {
$options[] = [
'id' => $item['value'],
'value' => $item['value'],
'label' => $item['label'],
'display_order' => $item['displayOrder'],
];
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchDispositionFieldOptions(): array
{
$options = [];
$dispositions = $this->fetchCallDispositions();
foreach ($dispositions as $disposition) {
if ($disposition['deleted'] !== false) {
continue;
}
$option['value'] = $disposition['id'];
$option['id'] = $disposition['id'];
$option['label'] = $disposition['label'];
$options[] = $option;
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityFieldOptions(Field $field): array
{
if ($field->isStageField()) {
return $this->fetchOpportunityPipelineStages();
}
if ($field->isPipelineField()) {
return $this->fetchOpportunityPipelines();
}
return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)
{
$endpoint = self::BASE_URL . $endpoint;
if ($method === 'GET') {
$response = $this->getInstance()->getClient()?->request(
method: $method,
endpoint: $endpoint,
query_string: $queryString
);
} else {
$response = $this->getInstance()->getClient()->request($method, $endpoint, [
'json' => ($payload),
]);
}
$max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // "110"
$remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // "109"
$interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // "10000"
$body = json_decode((string) $response->getBody(), true);
\Illuminate\Support\Facades\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));
\Illuminate\Support\Facades\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));
\Illuminate\Support\Facades\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));
\Illuminate\Support\Facades\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));
return $response;
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function createMeeting(array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings';
return $this->makeRequest($endpoint, 'POST', $payload);
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function updateMeeting(string $meetingId, array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings/' . $meetingId;
return $this->makeRequest($endpoint, 'PATCH', $payload);
}
/**
* @throws \Exception
*/
public function createNote(
string $body,
string $ownerId,
int $timestamp,
string $objectId,
NoteObject $noteObject
): ?string {
try {
$noteInput = new SimplePublicObjectInput([
'properties' => [
'hs_note_body' => $body,
'hubspot_owner_id' => $ownerId,
'hs_timestamp' => $timestamp,
],
]);
// Create note
$note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);
$this->getNewInstance()->crm()->objects()->associationsApi()->create(
'note',
$note->getId(),
$this->getNoteObject($noteObject),
$objectId,
$this->getNoteAssociationType($noteObject),
);
return $note->getId();
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to create note', [
'objectId' => $objectId,
'noteObject' => $noteObject->getObjectType(),
'reason' => $e->getMessage(),
]);
\Sentry::captureException($e);
}
return null;
}
public function updateEngagement(string $objectId, array $engagement, array $metadata): void
{
$this->getInstance()->engagements()->update($objectId, $engagement, $metadata);
}
public function getEngagementData(string $engagementId): array
{
$engagement = $this->getInstance()->engagements()->get($engagementId);
return $engagement->toArray();
}
public function createEngagement(array $engagement, array $associations, array $metadata): Response
{
return $this->getInstance()
->engagements()
->create($engagement, $associations, $metadata);
}
public function isUnauthorizedException(\Exception $e): bool
{
// Check for specific HubSpot API exception types first
if ($e instanceof BadRequest) {
// BadRequest can contain 401 status codes
return $e->getCode() === 401;
}
// Check for HTTP client exceptions with status codes
if ($e instanceof \GuzzleHttp\Exception\RequestException && $e->hasResponse()) {
$response = $e->getResponse();
if ($response !== null) {
return $response->getStatusCode() === 401;
}
}
// Check for Guzzle HTTP exceptions
if ($e instanceof \GuzzleHttp\Exception\ClientException) {
return $e->getCode() === 401;
}
// Fallback to string matching as last resort, but be more specific
$message = strtolower($e->getMessage());
return str_contains($message, '401 unauthorized') ||
str_contains($message, 'http 401') ||
str_contains($message, 'status code 401') ||
(preg_match('/\b401\b/', $message) && str_contains($message, 'unauthorized'));
}
/**
* Validates and refreshes the access token if needed before API requests.
* This ensures long-running processes don't fail due to token expiration.
*
* @throws SocialAccountTokenInvalidException
*/
public function ensureValidToken(): void
{
if ($this->oauthAccount === null) {
return;
}
$newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);
if ($newToken !== null) {
$this->accessToken = $newToken;
}
}
public function getConfig()
{
return $this->config;
}
// returns only active (archived=false)
public function getOwners(): array
{
return $this->getNewInstance()->crm()->owners()->getAll();
}
/**
* @param bool $archived
*
* @return array<Owner>|[]
*/
public function getOwnersArchived(bool $archived = true): array
{
$endpoint = '/crm/v3/owners';
$queryParams = [
'archived' => $archived ? 'true' : 'false',
];
$queryString = http_build_query($queryParams);
$owners = [];
try {
$response = $this->makeRequest(endpoint: $endpoint, queryString: $queryString);
$responseData = $response?->toArray();
foreach ($responseData['results'] as $result) {
try {
$owners[] = Owner::create($result);
} catch (Throwable $e) {
$this->log->error('[HubSpot] Failed to process owner data', [
'result' => $result,
'error' => $e->getMessage(),
]);
continue;
}
}
} catch (Throwable $e) {
$this->log->error('HubSpot] Failed to fetch owners', [
'archived' => $archived,
'error' => $e->getMessage(),
]);
return [];
}
return $owners;
}
public function getMeeting(string $engagementId): ObjectWithAssociations
{
return $this->getNewInstance()->crm()->objects()->basicApi()
->getById('meeting', $engagementId, null, 'contact,company,deal');
}
public function deleteEngagement(string $engagementId): void
{
$this->getInstance()->engagements()->delete((int) $engagementId);
}
public function getAssociationsData(array $ids, string $fromObject, string $toObject): array
{
$associationData = [];
$idChunks = array_chunk($ids, self::ASSOCIATIONS_BATCH_SIZE_LIMIT);
foreach ($idChunks as $idChunk) {
try {
$batchInput = new \HubSpot\Client\Crm\Associations\Model\BatchInputPublicObjectId();
$batchInput->setInputs(array_map(function ($id) {
$publicObjectId = new \HubSpot\Client\Crm\Associations\Model\PublicObjectId();
$publicObjectId->setId($id);
return $publicObjectId;
}, $idChunk));
$associatedObjectsData = $this
->getNewInstance()
->crm()
->associations()
->batchApi()
->read($fromObject, $toObject, $batchInput);
if ($associatedObjectsData instanceof \HubSpot\Client\Crm\Associations\Model\BatchResponsePublicAssociationMulti) {
foreach ($associatedObjectsData->getResults() as $association) {
$from = $association->getFrom()->getId();
$toAssociations = $association->getTo();
if (! empty($toAssociations)) {
$associationData[$from] = array_map(function ($item) {
return $item->getId();
}, $toAssociations);
}
}
}
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to fetch associations', [
'from_object' => $fromObject,
'to_object' => $toObject,
'reason' => $e->getMessage(),
]);
}
}
return $associationData;
}
/**
* @throws \Exception
*/
private function getNoteAssociationType(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'note_to_deal',
NoteObject::Lead, NoteObject::Contact => 'note_to_contact', // or 'note_to_lead' if your portal supports it
NoteObject::Account => 'note_to_company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
/**
* @throws \Exception
*/
private function getNoteObject(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'deal',
NoteObject::Lead, NoteObject::Contact => 'contact',
NoteObject::Account => 'company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
public function addAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/create";
return $this->makeRequest($endpoint, 'POST', $payload);
}
public function removeAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/archive";
return $this->makeRequest($endpoint, 'POST', $payload);
}
}
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# [PASSWORD_DOTS] HS [PASSWORD_DOTS]
select * from teams where id = 2; # 2
select * from features; # 2
select * from team_features where team_id = 2; # 2
select * from crm_configurations where id = 2; # 2
select * from users where team_id = 2; #
select * from playbooks where team_id = 2; # event 38
select * from playbook_categories where playbook_id = 38; #
SELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id is not null order by id desc;
[URL_WITH_CREDENTIALS] CrmFieldOption array{id:string, label:string, value?:string}
*/
class Client extends BaseClient implements HubspotClientInterface
{
public const string MIN_API_VERSION = '2';
public const string BASE_URL = '[URL_WITH_CREDENTIALS] T
* @param callable(): T $apiCall
* @return T
*
* @throws RateLimitException
*/
private function executeRequest(callable $apiCall)
{
if (! $this->rateLimiter->canMakeRequest($this->config)) {
$retryAfter = $this->rateLimiter->requestAvailableIn($this->config);
$this->log->warning('[Hubspot] Rate limit exceeded, deferring request', [
'team_id' => $this->config->team_id,
'config_id' => $this->config->getId(),
'retry_after' => $retryAfter,
]);
throw new RateLimitException(
'Hubspot rate limit reached for configuration ' . $this->config->getId(),
$retryAfter,
);
}
$this->rateLimiter->incrementRequestCount($this->config);
try {
return $apiCall();
} catch (Throwable $e) {
if ($this->isHubspotRateLimit($e)) {
$retryAfter = $this->parseRetryAfter($e);
$this->log->warning('[Hubspot] Received 429 from API', [
'team_id' => $this->config->team_id,
'config_id' => $this->config->getId(),
'retry_after' => $retryAfter,
'reason' => $e->getMessage(),
]);
throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);
}
throw $e;
}
}
private function isHubspotRateLimit(Throwable $e): bool
{
return method_exists($e, 'getCode') && (int) $e->getCode() === 429;
}
private function parseRetryAfter(Throwable $e): int
{
if (method_exists($e, 'getResponseHeaders')) {
$headers = $e->getResponseHeaders() ?: [];
$value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;
if (is_array($value)) {
$value = $value[0] ?? null;
}
if (is_numeric($value)) {
return (int) $value;
}
}
return 10;
}
public function getMinimumApiVersion(): string
{
return self::MIN_API_VERSION;
}
public function getInstance(): Factory
{
return new Factory([
'key' => $this->accessToken,
'oauth2' => true,
'base_url' => $this->baseUrl,
]);
}
public function getNewInstance(): Discovery
{
return \HubSpot\Factory::createWithAccessToken($this->accessToken);
}
/**
* Secondly and daily limits for Hubspot API
*
* Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)
* Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds
* Daily: 250,000 | 500,000 | 1,000,000
*
* Official documentation states: The search endpoints are rate limited to five requests per second.
* Since with 5 RPS were still hitting secondly rate limits we lowered it to 4
*/
public function getPaginatedData(array $payload, string $type, int $offset = 0): array
{
$total = 0;
$lastId = null;
$rows = [];
foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {
$rows[] = $row;
}
return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];
}
/**
* @throws HubspotException
* @throws SocialAccountTokenInvalidException
* @throws BadRequest
*/
public function getPaginatedDataGenerator(
array $payload,
string $type,
int $offset = 0,
int &$total = 0,
?string &$lastRecordId = null
): \Generator {
return $this->paginationService->getPaginatedDataGenerator(
$this,
$payload,
$type,
$offset,
$total,
$lastRecordId
);
}
/**
* @throws DealApiException
* @throws CrmException
*/
public function getOpportunityById(string $crmId, array $fields): array
{
try {
// $deal = $this->executeRequest(fn () => $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$crmId,
implode(',', $fields),
'companies,contacts'
);
} catch (DealApiException $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $deal instanceof DealWithAssociations) {
throw new CrmException('Deal not found');
}
return [
'id' => $deal->getId(),
'properties' => $deal->getProperties(),
'associations' => $deal->getAssociations(),
];
}
/**
* Generic batch read method for HubSpot objects
*
* @param string $objectType The object type ('deals', 'companies', 'contacts')
* @param array<string> $crmIds Array of HubSpot object IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with object data
*/
private function batchReadObjects(string $objectType, array $crmIds, array $fields): array
{
if (empty($crmIds)) {
return [];
}
$this->validateBatchSize($objectType, $crmIds);
$this->ensureValidToken();
try {
$batchConfig = $this->createBatchConfiguration($objectType);
$batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);
$response = $batchConfig['api']->read($batchReadRequest);
$this->validateApiResponse($response, $objectType);
$results = $this->processApiResults($response);
$this->logBatchResults($objectType, $crmIds, $results);
return $results;
} catch (\Throwable $e) {
$this->handleBatchError($e, $objectType, $crmIds);
}
}
private function validateBatchSize(string $objectType, array $crmIds): void
{
if (count($crmIds) > 100) {
throw new \InvalidArgumentException("Batch size cannot exceed 100 {$objectType}");
}
}
private function createBatchConfiguration(string $objectType): array
{
$configurations = [
'deals' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Deals\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Deals\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->deals()->batchApi(),
],
'companies' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Companies\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Companies\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->companies()->batchApi(),
],
'contacts' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Contacts\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),
],
];
if (! isset($configurations[$objectType])) {
throw new \InvalidArgumentException("Unsupported object type: {$objectType}");
}
return $configurations[$objectType];
}
private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object
{
$batchReadRequest = $batchConfig['batchReadRequest'];
$inputClass = $batchConfig['inputClass'];
$inputs = array_map(function ($crmId) use ($inputClass) {
$input = new $inputClass();
$input->setId($crmId);
return $input;
}, $crmIds);
$batchReadRequest->setInputs($inputs);
$batchReadRequest->setProperties($fields);
return $batchReadRequest;
}
private function validateApiResponse($response, string $objectType): void
{
if (! $response) {
throw new CrmException("HubSpot API returned null response for {$objectType} batch read");
}
}
private function processApiResults($response): array
{
$results = [];
$responseResults = $response->getResults();
if ($responseResults) {
foreach ($responseResults as $object) {
if ($object && $object->getId()) {
$results[$object->getId()] = [
'id' => $object->getId(),
'properties' => $object->getProperties() ?: [],
];
}
}
}
return $results;
}
private function logBatchResults(string $objectType, array $crmIds, array $results): void
{
$this->log->info("[HubSpot] Batch fetched {$objectType}", [
'requested_count' => count($crmIds),
'returned_count' => count($results),
'crm_ids' => $crmIds,
]);
}
private function handleBatchError(\Throwable $e, string $objectType, array $crmIds): void
{
$errorMessage = $e->getMessage() ?: 'Unknown error';
$errorTrace = $e->getTraceAsString() ?: 'No trace available';
$this->log->error("[HubSpot] Failed to batch fetch {$objectType}", [
'crm_ids' => $crmIds,
'error' => $errorMessage,
'trace' => $errorTrace,
]);
throw new CrmException("Failed to batch fetch {$objectType}: " . $errorMessage);
}
/**
* Batch read multiple opportunities by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot deal IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with opportunity data
*/
public function getOpportunitiesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('deals', $crmIds, $fields);
}
/**
* Batch read multiple companies by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot company IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with company data
*/
public function getCompaniesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('companies', $crmIds, $fields);
}
/**
* Batch read multiple contacts by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot contact IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with contact data
*/
public function getContactsByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('contacts', $crmIds, $fields);
}
/**
* @throws CompanyApiException
* @throws CrmException
*/
public function getAccountById(string $crmId, array $fields): array
{
try {
$company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(
$crmId,
implode(',', $fields),
);
} catch (CompanyApiException $e) {
$this->log->info('[Hubspot] Failed to fetch account', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $company instanceof CompaniesWithAssociations) {
throw new CrmException('Account not found');
}
return [
'id' => $company->getId(),
'properties' => $company->getProperties(),
];
}
/**
* @throws ContactApiException
* @throws CrmException
*/
public function getContactById(string $crmId, array $fields): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$crmId,
implode(',', $fields)
);
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $contact instanceof ContactsWithAssociations) {
throw new CrmException('Contact not found');
}
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
}
/**
* This is email search request that Hubspot offers as GET (more generous quota)
*/
public function getContactByEmail(string $email, array $fields = []): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$email,
implode(',', $fields),
null,
false,
'email'
);
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'email' => $email,
'reason' => $e->getMessage(),
]);
return [];
}
}
/**
* @throws CrmException
*/
public function fetchProperty(string $objectType, string $propertyId): Property
{
$result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);
if (! $result instanceof Property) {
$this->log->error('[Hubspot] Failed to fetch property', [
'object_type' => $objectType,
'property_id' => $propertyId,
'reason' => $result->getMessage(),
]);
throw new CrmException('Failed to fetch property');
}
return $result;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchPropertyOptions(string $objectType, string $propertyId): array
{
/** @var array<CrmFieldOption> */
return $this->fetchProperty($objectType, $propertyId)->getOptions();
}
/**
* @return array<array{id:string, label:string, deleted:bool}>
*/
public function fetchCallDispositions(): array
{
/** @var Response $response */
$response = $this->getInstance()->engagements()->getCallDispositions();
/**
* @var array<array{
* id:string,
* label:string,
* deleted: bool
* }>
*/
return $response->toArray();
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityPipelineStages(): array
{
$stages = [];
$apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');
if ($apiResponse instanceof Error) {
$this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $apiResponse->getMessage(),
]);
return [];
}
foreach ($apiResponse->getResults() as $pipeline) {
$pipelineStages = array_map(
static function (PipelineStage $stage) {
return [
'id' => $stage->getId(),
'label' => $stage->getLabel(),
];
},
$pipeline->getStages()
);
$stages = array_merge($stages, $pipelineStages);
}
return $stages;
}
public function fetchOpportunityPipelines(): array
{
$pipelines = [];
try {
$apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');
} catch (\Exception $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $e->getMessage(),
]);
return [];
}
$response = $apiResponse->toArray();
foreach ($response['results'] as $pipeline) {
$pipelines[] = [
'id' => $pipeline['id'],
'label' => $pipeline['label'],
];
}
return $pipelines;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchMeetingOutcomeFieldOptions(Field $field): array
{
return $field->getCrmProviderId() === 'meetingOutcome'
? $this->fetchMeetingOutcomeTypes()
: $this->fetchCallActivityTypes();
}
public function fetchMeetingOutcomeTypes(): array
{
return $this->extractMeetingTypeOptions(
'[URL_WITH_CREDENTIALS] Response $response */
$response = $this->getInstance()
->getClient()
->request('GET', $endpoint);
/**
* @var array<array{
* value: string,
* label: string,
* displayOrder: int
* }> $optionData
*/
$optionData = $response->toArray()['options'] ?? [];
$options = [];
foreach ($optionData as $item) {
$options[] = [
'id' => $item['value'],
'value' => $item['value'],
'label' => $item['label'],
'display_order' => $item['displayOrder'],
];
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchDispositionFieldOptions(): array
{
$options = [];
$dispositions = $this->fetchCallDispositions();
foreach ($dispositions as $disposition) {
if ($disposition['deleted'] !== false) {
continue;
}
$option['value'] = $disposition['id'];
$option['id'] = $disposition['id'];
$option['label'] = $disposition['label'];
$options[] = $option;
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityFieldOptions(Field $field): array
{
if ($field->isStageField()) {
return $this->fetchOpportunityPipelineStages();
}
if ($field->isPipelineField()) {
return $this->fetchOpportunityPipelines();
}
return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)
{
$endpoint = self::BASE_URL . $endpoint;
if ($method === 'GET') {
$response = $this->getInstance()->getClient()?->request(
method: $method,
endpoint: $endpoint,
query_string: $queryString
);
} else {
$response = $this->getInstance()->getClient()->request($method, $endpoint, [
'json' => ($payload),
]);
}
$max = $response->getHeaderLine('X-HubSpot-RateLimit-Max'); // "110"
$remaining = $response->getHeaderLine('X-HubSpot-RateLimit-Remaining'); // "109"
$interval = $response->getHeaderLine('X-HubSpot-RateLimit-Interval-Milliseconds'); // "10000"
$body = json_decode((string) $response->getBody(), true);
\Illuminate\Support\Facades\Log::channel('custom_channel')->info('$max ' . PHP_EOL . print_r($max, true));
\Illuminate\Support\Facades\Log::channel('custom_channel')->info('$remaining ' . PHP_EOL . print_r($remaining, true));
\Illuminate\Support\Facades\Log::channel('custom_channel')->info('$interval ' . PHP_EOL . print_r($interval, true));
\Illuminate\Support\Facades\Log::channel('custom_channel')->info('$body ' . PHP_EOL . print_r($body, true));
return $response;
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function createMeeting(array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings';
return $this->makeRequest($endpoint, 'POST', $payload);
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function updateMeeting(string $meetingId, array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings/' . $meetingId;
return $this->makeRequest($endpoint, 'PATCH', $payload);
}
/**
* @throws \Exception
*/
public function createNote(
string $body,
string $ownerId,
int $timestamp,
string $objectId,
NoteObject $noteObject
): ?string {
try {
$noteInput = new SimplePublicObjectInput([
'properties' => [
'hs_note_body' => $body,
'hubspot_owner_id' => $ownerId,
'hs_timestamp' => $timestamp,
],
]);
// Create note
$note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);
$this->getNewInstance()->crm()->objects()->associationsApi()->create(
'note',
$note->getId(),
$this->getNoteObject($noteObject),
$objectId,
$this->getNoteAssociationType($noteObject),
);
return $note->getId();
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to create note', [
'objectId' => $objectId,
'noteObject' => $noteObject->getObjectType(),
'reason' => $e->getMessage(),
]);
\Sentry::captureException($e);
}
return null;
}
public function updateEngagement(string $objectId, array $engagement, array $metadata): void
{
$this->getInstance()->engagements()->update($objectId, $engagement, $metadata);
}
public function getEngagementData(string $engagementId): array
{
$engagement = $this->getInstance()->engagements()->get($engagementId);
return $engagement->toArray();
}
public function createEngagement(array $engagement, array $associations, array $metadata): Response
{
return $this->getInstance()
->engagements()
->create($engagement, $associations, $metadata);
}
public function isUnauthorizedException(\Exception $e): bool
{
// Check for specific HubSpot API exception types first
if ($e instanceof BadRequest) {
// BadRequest can contain 401 status codes
return $e->getCode() === 401;
}
// Check for HTTP client exceptions with status codes
if ($e instanceof \GuzzleHttp\Exception\RequestException && $e->hasResponse()) {
$response = $e->getResponse();
if ($response !== null) {
return $response->getStatusCode() === 401;
}
}
// Check for Guzzle HTTP exceptions
if ($e instanceof \GuzzleHttp\Exception\ClientException) {
return $e->getCode() === 401;
}
// Fallback to string matching as last resort, but be more specific
$message = strtolower($e->getMessage());
return str_contains($message, '401 unauthorized') ||
str_contains($message, 'http 401') ||
str_contains($message, 'status code 401') ||
(preg_match('/\b401\b/', $message) && str_contains($message, 'unauthorized'));
}
/**
* Validates and refreshes the access token if needed before API requests.
* This ensures long-running processes don't fail due to token expiration.
*
* @throws SocialAccountTokenInvalidException
*/
public function ensureValidToken(): void
{
if ($this->oauthAccount === null) {
return;
}
$newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);
if ($newToken !== null) {
$this->accessToken = $newToken;
}
}
public function getConfig()
{
return $this->config;
}
// returns only active (archived=false)
public function getOwners(): array
{
return $this->getNewInstance()->crm()->owners()->getAll();
}
/**
* @param bool $archived
*
* @return array<Owner>|[]
*/
public function getOwnersArchived(bool $archived = true): array
{
$endpoint = '/crm/v3/owners';
$queryParams = [
'archived' => $archived ? 'true' : 'false',
];
$queryString = http_build_query($queryParams);
$owners = [];
try {
$response = $this->makeRequest(endpoint: $endpoint, queryString: $queryString);
$responseData = $response?->toArray();
foreach ($responseData['results'] as $result) {
try {
$owners[] = Owner::create($result);
} catch (Throwable $e) {
$this->log->error('[HubSpot] Failed to process owner data', [
'result' => $result,
'error' => $e->getMessage(),
]);
continue;
}
}
} catch (Throwable $e) {
$this->log->error('HubSpot] Failed to fetch owners', [
'archived' => $archived,
'error' => $e->getMessage(),
]);
return [];
}
return $owners;
}
public function getMeeting(string $engagementId): ObjectWithAssociations
{
return $this->getNewInstance()->crm()->objects()->basicApi()
->getById('meeting', $engagementId, null, 'contact,company,deal');
}
public function deleteEngagement(string $engagementId): void
{
$this->getInstance()->engagements()->delete((int) $engagementId);
}
public function getAssociationsData(array $ids, string $fromObject, string $toObject): array
{
$associationData = [];
$idChunks = array_chunk($ids, self::ASSOCIATIONS_BATCH_SIZE_LIMIT);
foreach ($idChunks as $idChunk) {
try {
$batchInput = new \HubSpot\Client\Crm\Associations\Model\BatchInputPublicObjectId();
$batchInput->setInputs(array_map(function ($id) {
$publicObjectId = new \HubSpot\Client\Crm\Associations\Model\PublicObjectId();
$publicObjectId->setId($id);
return $publicObjectId;
}, $idChunk));
$associatedObjectsData = $this
->getNewInstance()
->crm()
->associations()
->batchApi()
->read($fromObject, $toObject, $batchInput);
if ($associatedObjectsData instanceof \HubSpot\Client\Crm\Associations\Model\BatchResponsePublicAssociationMulti) {
foreach ($associatedObjectsData->getResults() as $association) {
$from = $association->getFrom()->getId();
$toAssociations = $association->getTo();
if (! empty($toAssociations)) {
$associationData[$from] = array_map(function ($item) {
return $item->getId();
}, $toAssociations);
}
}
}
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to fetch associations', [
'from_object' => $fromObject,
'to_object' => $toObject,
'reason' => $e->getMessage(),
]);
}
}
return $associationData;
}
/**
* @throws \Exception
*/
private function getNoteAssociationType(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'note_to_deal',
NoteObject::Lead, NoteObject::Contact => 'note_to_contact', // or 'note_to_lead' if your portal supports it
NoteObject::Account => 'note_to_company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
/**
* @throws \Exception
*/
private function getNoteObject(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'deal',
NoteObject::Lead, NoteObject::Contact => 'contact',
NoteObject::Account => 'company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
public function addAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/create";
return $this->makeRequest($endpoint, 'POST', $payload);
}
public function removeAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/archive";
return $this->makeRequest($endpoint, 'POST', $payload);
}
}
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PhpStorm
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faVsco.js – HS_local [jiminny@localhost]
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3187
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rostmanVIewWindowmelprTavsco.sProledeyC. RateLimit rostmanVIewWindowmelprTavsco.sProledeyC. RateLimitaware.onoRematchActivityOnCrmObjectDetach.phpT DeleteCrmEntityTrait.phpRateLimitException.php© SyncTol= test.pyC) AddRateLimitCommand.pnp© Client.php xJiminnyDeougcommano.orgT IntegrationApp/.../SyncCrmEntitiesTrait.php(C) RacicAn‹> Untitled Diagram.xmlus vetur.config.js+ WEBHOOK FILTERING IMPLEMENT©)ImportOpportunitybatch.phpTImportBatchJobTrait.php(©) Middleware/RateLimited.pnpu Hip/RateLimiteih External Libranlesu Hubspot//syncermenuuestrait.ono© OpportunitySyncTest.php© RateLimit.phpE Scratches and Consolesclass Client extends Basecllent implements Hubspotcllentintertacev @ Database Consolesv Atu& console cullA DEAL RISKS (EU]&D zU42012U22%& iminnv@localhost« console liminny@localhost4 D|liminny@localhosti4 HS_local jiminny@localhost)4 SF liminnv@localhost4 zoho dev liiminnvallocalhostADRONservicesv D DatabaseV AEUconsole& |iminny@localhost4 HS_local 578 msA SFV A PRODconsole 1s 381 msASTAGINGA console 1s 250 ms…Dockenpublic function getopportunatyByld(string scrmld, array sfields): array'crm.1d' => Scrmid'reason' => se->qetMessage@throw se:if @ Sdeal instanceof DealWithAssociations)<throw new Crmexcentiond message"Deal not found'):h OutoutfT Result 10 x4rows vnidYM sociable id YM provider user id Yprovider usery.onmicrosoft.com19 5760674c.Jf rMuaMxTeOLNOM2inny.onmicrosoft.com89 65235871CKDZ9ZLgMxIYQLNQM3ny.onmicrosoft.com1400CKPur5PgMxIZQLNQM4nnv.onmicrosoft.com1372206 60875758CNSs quarxZOLNOMSo h o"suppont Dally • now100% CThu 7 May 15:05:56Q SearchYour team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaborationv COLLECtIONs> Associations V4Cms - URL Kedirecis APl collection> Comoanies• COMPADE› ContactsCRM ObIectscrm/v3/objects/Kobject Type)> 0 batchv obiect Id!.> [ associations/{to Object Type)GET Read9.9: An error occurred.eg. successful overation>DEL Archive> PATCH Updateesr tiet> POST Create>post Filter, sort, and search CRM ObjectsCRM OwnersCRM Pipelines> DealsEngagements> OLD ENGAGEMENTScst list meetingsPOST search modified companiesPOST search tasksGET read call>post conrch cnlleGer list callsPOST meetings scheduledGET det meetingpost get link to task> post Create Contact with Association› Hubspot~ Journal & webhoooks v4eost Cot tobonGET det subscrintions.eost arooto enbecrintiorCAMIDONMCNTC> SPFCSELOWS@ Connect Git = Concoldo.) TerminPOST search dealGET read callGET Get EngagemeCRM Obiects > crm/v3/obiects/{obiect Tvoel > (obiect Id) > Read{{baseUrl}) /crm/v3/objects/deal/374720564?properties=dealname= DocsParams • Authorization • Headers 9 Body Scripts SettingsAuth TypeRearer TokenToken((token})The authorization header will be automatically generated whenCookias tS JSON v• PrevievSo? Pass the correct auth credentialsaxw. "Tho OAuth tokon ucod to make this call expired 24 minute(s) ago.".#2026-05-07711-41-20 1717g SaveCookies401 Unauthorized • 176 ms • 1.39 KB • (6| eg. Save Response51=Q108Globals Vault Tools?000...
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PostmanFileEditViewWindowHelp$0lohlSupport Daily • PostmanFileEditViewWindowHelp$0lohlSupport Daily • now100% <478DEV (docker)DOCKERO ₴1DEV (docker)H82APP (-zsh)-zsh• $4screenpipe"•$55.95ms DONE-zshThu 7 May 15:05:56T81₴6viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedjiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]DEV...
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PostmanFileEditViewWindowHelp$0lohlSupport Daily • PostmanFileEditViewWindowHelp$0lohlSupport Daily • now100% <478DEV (docker)DOCKERO ₴1DEV (docker)H82APP (-zsh)-zsh• $4screenpipe"•$55.95ms DONE-zshThu 7 May 15:05:57T81₴6viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedjiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]DEV...
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rostmanVIewWindowmelprTavsco.sProledeyC. RateLimit rostmanVIewWindowmelprTavsco.sProledeyC. RateLimitaware.onpRematchActivityOnCrmObjectDetach.phpT DeleteCrmEntityTrait.phpRateLimitException.php© SyncTol= test.pyC) AddRateLimitCommand.pnp© Client.php xJiminnyDeougcommano.orgT IntegrationApp/.../SyncCrmEntitiesTrait.php(C) RacicAn‹> Untitled Diagram.xmlus vetur.config.js+ WEBHOOK FILTERING IMPLEMENT©)ImportOpportunitybatch.phpTImportBatchJobTrait.php(©) Middleware/RateLimited.pnpu Hip/RateLimiteih External Libranlesu Hubspot//syncermenuuestrait.ono© OpportunitySyncTest.php© RateLimit.phpE Scratches and Consolesclass Client extends Basecllent implements Hubspotcllentintertacev @ Database Consolesv Atu& console cullA DEAL RISKS (EU]&D zU42012U22%& iminnv@localhost& console liminny@localhost4 D|liminny@localhosti4 HS_local jiminny@localhost)4 SF liminnv@localhost4 zoho dev liiminnvallocalhostADRONservicesv D DatabaseV AEUconsole& |iminny@localhost4 HS_local 578 msA SFV A PRODconsole 1s 381 msASTAGINGA console 1s 250 ms…Dockenpublic function getopportunatyByld(string scrmld, array sfields): array'crm.1d' => Scrmid'reason' => se->qetMessage@throw se:if @ Sdeal instanceof DealWithAssociations)<throw new Crmexcentiond message"Deal not found'):h OutoutfT Result 10 x4rows vnidYM sociable id Ym provider user id Yprovider usery.onmicrosoft.com19 5760674c.Jf rMuaMxTeOlNOM2inny.onmicrosoft.com89 65235871CKDZ9ZLgMxIYQLNQM3ny.onmicrosoft.com1400CKPur5PgMxIZQLNQM4nnv.onmicrosoft.com1372206 60875758CNSs quarxZOLNOMQ SearchYour team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaboration.v COLLECtIONs> Associations V4Cms - URL Kedirecis APl collection> Comoanies• COMPADE› ContactsCRM ObIectscrm/v3/objects/Kobject Type)> 0 batchv obiect Id!.> [ associations/{to Object Type)GET Read9.9: An error occurred.eg. successful overation>DEL Archive> PATCH Updateesr tiot> POST Create>post Filter, Sort, and Search CRM ObiectsCRM OwnersCRM Pipelines> DealsEngagements> OLD ENGAGEMENTSGsT list meetingsPOST search modified companiesPOST search tasksGET read call>post conrch cnlleGer list callsPOST meetings scheduledGET det meetingpost get link to task> post Create Contact with Association› Hubspot~ Journal & webhoooks v4eost Cot tobonGEt det subscrintionseost arooto enbecrintiorCAMIDONMCNTC> SPFCSELOWS@ Connect Git = Concoldo.) TerminGET next off. • POST search •GET ReadGET Get EngCRM Obiects > crm/v3/obiects/{obiect Tvoel > (obiect Id) > ReadToaseurl)) /crm/vs/objects/deal/3/4/20564:properties=dealname= DocsParams • Authorization • Headers 9 Body Scripts SettingsAuth TypeRearer TokenToken((token})The authorization header will be automatically generated whenCookias tS JSON v• PrevievSo? Pass the correct auth credentialsaxw. "Tho OAuth tokon ucod to make this call expired 24 minute(s) ago.".#2026-05-07711-41-20 1717hhl"supoont Dally • nowNo environmentv) SaveCookies100% L2VAIlVariables in requestC baseUrlG token> All variablesThu 7 May 15:05:58httos:/lapi.hubaoZALURSNVSDOVONO401 Unauthorized • 176 ms • 1.39 KB • Ga e.g. Save Response •••51FQl08Giobals Vault Tooks •- m=m...
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PostmanFileEditViewWindowHelp$0lohlSupport Daily • PostmanFileEditViewWindowHelp$0lohlSupport Daily • now100% <8DEV (docker)DOCKERO ₴1DEV (docker)H82APP (-zsh)-zsh• $4screenpipe"•$55.95ms DONE-zshThu 7 May 15:06:00T81₴6viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedjiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]DEV...
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rostmanVIewWindowmelprTavsco.sProledeyC. RateLimit rostmanVIewWindowmelprTavsco.sProledeyC. RateLimitaware.onpE test.pyC) AddRateLimitCommana.pnp<> Untitled Diagram.xmlus vetur.config.jsM+ WEBHOOK_FILTERING_IMPLEMENT©)ImportOpportunitybatch.phpih External LibrariesE® Scratches and ConsolesD Database Consolesv Atu© Client.php xJiminnyDeougcommano.org© DeleteCrmEntityTrait.php© RateLimitException.php© SyncToUI IntegrationApp/../SyncCrmEntities Trait.php© BasicAp© HubspotWebhookBatchSyncStrategy.phpTImportBatchJobTrait.php(©) Middleware/RateLimited.pnpu Hip/RateLimiteu Hubspot//syncermenuuestrait.ono© OpportunitySyncTest.php©RateLimit.php& console cullA DEAL RISKS (EUJA DI [EU]42012U& iminnv@localhost223« console liminny@localhostA DI jiminny@localhost]4 HS_local jiminny@localhost)A SF [jiminny@localhost]4 zoho dev liiminnvallocalhostv ADROnservicesv D DatabaseV AEUconsole& |iminny@localhost4 HS_Jocal 578 msA SF~ A PRODconsole 1s 381 msV A STAGINGA console 1s 250 ms…Dockenclass Client extends Basecllent impLements Hubspotcllentintertacepublic function getopportunatyByld(string scrmld, array sfields): array'crm.1d' => Scrmid'reason' => se->qetMessage@throw $e;if (! $deal instanceof DealWithAssoCiations) {throw new Crmexcentiond message'Deal not found'):h OutoutfT Result 10 x4rows v5004Q G4®Did YI sociable_id Yprovider_user_id Yy.onmicrosoft.com2 inny.onmicrosoft.com3 ny.onmicrosoft.com @provider_user_CJf_rMuaMxIeQLNQMCKDZ9ZLgMxIYQLNQMCKPur5PgMxIZQLNQM4nnv.onmicrosoft.com1372206 60875758CNSs quarxzoLNoMQ SearchYour team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaboration.GET next off. • POST search •GET Read •GET Get EngCRM Objects › crm/v3/objects/(object Type) › (object Id) › Read((baseUrl)) /crm/v3/objects/deal/374720564?properties=dealnameE DocsParams • Authorization • Headers 9 Body Scripts SettingsAuth TypeBearer TokenTokenThe authorization header will be automatically generated when((token)$O MO"supoont Dally • nowNo environment) SaveCookies100% L2VAIlVariables in requestcbaseUrlG tokenAll variablesThu 7 May 15:06:01v COLLECtIONs> Associations V4Cms - URL Kedirecis APl collection› Companies› COMPARE› ContactsCRM ObIects~ [ crm/v3/objects/(object Type)› O batchv obiect Id!.› O associations/(to Object Type)GET Read9.9: An error occurred.eg. successful overation>DEL Archive> PATCH Updateesr tiet> POST Create>post Filter, Sort, and Search CRM ObiectsCRM OwnersCRM Pipelines> DealsEngagements> OLD ENGAGEMENTSGET list meetingsPOST search modified companiesPOST search tasksGET read call> POST search callsGer list callsPoST meetings scheduledGET det meetingpost get link to task> post Create Contact with Association› Hubspot~ Journal & webhoooks v4eost Cot tobonGET det subscrintions.eost arooto enbecrintiorCAMIDONMCNTC> SPFCS> FLOWS@ Connect Git = Concoldo.) Terminhttos:/lapi.hubaoCKPur5PgMxIZQINQ…..Cookias t{ JSON• PrevievSo? Pass the correct auth credentialsaxw. "Tho OAuth tokon ucod to make this call expired 24 minute(s) ago."."2026-05-07T11:41:20.471Z"401 Unauthorized • 176 ms • 1.39 KB • Ga e.g. Save Response •*•==aOOGlobals Vault Tools?000...
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PostmanFileEditViewWindowHelp$0lohlSupport Daily • PostmanFileEditViewWindowHelp$0lohlSupport Daily • now100% <8DEV (docker)DOCKERO ₴1DEV (docker)H82APP (-zsh)-zsh• $4screenpipe"•$55.95ms DONE-zshThu 7 May 15:06:02T81₴6viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedjiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]DEV...
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rostmanVIewWindowmelprTavsco.sProledeyC. RateLimit rostmanVIewWindowmelprTavsco.sProledeyC. RateLimitaware.onoT DeleteCrmEntityTrait.phpRateLimitException.php© SyncTol= test.pyC) AddRateLimitCommand.pnp© Client.php xJiminnyDeougcommano.orgT IntegrationApp/.../SyncCrmEntitiesTrait.php(C) RacicAn‹> Untitled Diagram.xmlus vetur.config.js+ WEBHOOK FILTERING IMPLEMENT©)ImportOpportunitybatch.phpTImportBatchJobTrait.php(©) Middleware/RateLimited.pnpu Hip/RateLimiteih External Libranlesu Hubspot//syncermenuuestrait.ono© OpportunitySyncTest.php© RateLimit.phpE Scratches and Consolesclass Client extends Basecllent implements Hubspotcllentintertacev @ Database Consolesv Atu& console cullA DEAL RISKS (EU]&D zU42012U22%& iminnv@localhost« console liminny@localhost4 D|liminny@localhosti4 HS_local jiminny@localhost)4 SF liminnv@localhost4 zoho dev liiminnvallocalhostADRONservicesv D DatabaseV AEUconsole& |iminny@localhost4 HS_local 578 msA SFV A PRODconsole 1s 381 msASTAGINGA console 1s 250 ms…Dockenpublic function getopportunatyByld(string scrmld, array sfields): array'crm.1d' => Scrmid'reason' => se->qetMessage@throw se:if @ Sdeal instanceof DealWithAssociations)<throw new Crmexcentiond message"Deal not found'):h OutoutfT Result 10 x4rows vnidYM sociable id YM provider user id Yprovider usery.onmicrosoft.com19 5760674c.Jf rMuaMxTeOLNOM2inny.onmicrosoft.com89 65235871CKDZ9ZLgMxIYQLNQM3ny.onmicrosoft.com1400CKPur5PgMxIZQLNQM4nnv.onmicrosoft.com1372206 60875758CNSs quarxZOLNOMQ SearchYour team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaboration.v COLLECtIONs> Associations V4Cms - URL Kedirecis APl collection> Comoanies• COMPADE› ContactsCRM ObIectscrm/v3/objects/Kobject Type)> 0 batchv obiect Id!.> [ associations/{to Object Type)GET Read9.9: An error occurred.eg. successful overation>DEL Archive> PATCH Updateesr tiot> POST Create>post Filter, sort, and search CRM ObjectsCRM OwnersCRM Pipelines> DealsEngagements> OLD ENGAGEMENTSGsT list meetingsPOST search modified companiesPOST search tasksGET read call>post conrch cnlleGer list callsPOST meetings scheduledGET det meetingpost get link to task> post Create Contact with Association› Hubspot~ Journal & webhoooks v4eost Cot tobonGET det subscrintions.eost arooto enbecrintiorCAMIDONMCNTC> SPFCSELOWS@ Connect Git = Concoldo.) TerminGET next off. • POST search •GET ReadGET Get EngCRM Obiects > crm/v3/obiects/{obiect Tvoel > (obiect Id) > Read{{baseUrl}) /crm/v3/objects/deal/374720564?properties=dealname= DocsParams • Authorization • Headers 9 Body Scripts SettingsAuth TypeRearer TokenToken((token})The authorization header will be automatically generated whenCookias tS JSON v• PrevievSo? Pass the correct auth credentialsaxw. "Tho OAuth tokon ucod to make this call expired 24 minute(s) ago.".#2026-05-07711-41-20 171740 h a"supoont Dally • nowNo environmentv) Saved~ Cookies100% L2VAIlVariables in requestC baseUrlG tokenAll variablesThu 7 May 15:06:02httos:/lapi.hubaoCKPur5PaMxlZOINo401 Unauthorized • 176 ms • 1.39 KB • Ga e.g. Save Response •••51=0100Globals Vault Tools?000...
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier — shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
— you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
— that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers — DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room — all atomic. Fixed windows are simpler but allow 2× the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours — Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check — if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth — meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore — limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
— if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
— webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
— respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) ± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
— if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state —
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call → 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
—
POST /crm/v3/objects/deals/batch/update
with 100 per call → 6 calls.
Associations
—
POST /crm/v4/associations/{from}/{to}/batch/create
if needed → another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) — log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
— always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook → sync → webhook loops
— when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
— OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
— newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
— Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
— sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero — if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter — you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
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Retry
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
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Claude responded: They're independent buckets — with one shared bucket on top.
Claude responded: They're independent buckets — with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets — with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
┌──────────────────┐
Search request ──→ │ Search: 5/sec │ ──┐
└──────────────────┘ │
├──→ ┌─────────────────┐
┌──────────────────┐ │ │ Daily: 250k–1M │
Non-search call ──→ │ Burst: 190/10s │ ──┘ │ (per portal) │
└──────────────────┘ └─────────────────┘
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls — all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone — and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search → Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst → Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either → Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire...
|
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
Retry
Edit
Copy
Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier — shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
— you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
— that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers — DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room — all atomic. Fixed windows are simpler but allow 2× the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours — Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check — if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth — meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore — limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
— if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
— webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
— respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) ± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
— if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state —
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call → 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
—
POST /crm/v3/objects/deals/batch/update
with 100 per call → 6 calls.
Associations
—
POST /crm/v4/associations/{from}/{to}/batch/create
if needed → another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) — log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
— always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook → sync → webhook loops
— when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
— OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
— newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
— Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
— sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero — if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter — you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
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You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Retry
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Claude responded: They're independent buckets — with one shared bucket on top.
Claude responded: They're independent buckets — with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets — with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
┌──────────────────┐
Search request ──→ │ Search: 5/sec │ ──┐
└──────────────────┘ │
├──→ ┌─────────────────┐
┌──────────────────┐ │ │ Daily: 250k–1M │
Non-search call ──→ │ Burst: 190/10s │ ──┘ │ (per portal) │
└──────────────────┘ └─────────────────┘
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls — all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone — and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search → Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst → Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either → Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
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php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs — burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified — be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
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You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
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Claude responded: Yes, your understanding is correct — every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct — every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct — every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
— not two — because you fold both bucket checks into a single Lua script that runs atomically server-side:
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lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used...
|
Claude
|
Claude
|
NULL
|
3197
|
|
3198
|
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier — shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
— you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
— that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers — DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room — all atomic. Fixed windows are simpler but allow 2× the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours — Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check — if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth — meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore — limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
— if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
— webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
— respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) ± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
— if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state —
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call → 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
—
POST /crm/v3/objects/deals/batch/update
with 100 per call → 6 calls.
Associations
—
POST /crm/v4/associations/{from}/{to}/batch/create
if needed → another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) — log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
— always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook → sync → webhook loops
— when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
— OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
— newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
— Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
— sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero — if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter — you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
Retry
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Retry
Edit
Copy
Claude responded: They're independent buckets — with one shared bucket on top.
Claude responded: They're independent buckets — with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets — with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
┌──────────────────┐
Search request ──→ │ Search: 5/sec │ ──┐
└──────────────────┘ │
├──→ ┌─────────────────┐
┌──────────────────┐ │ │ Daily: 250k–1M │
Non-search call ──→ │ Burst: 190/10s │ ──┘ │ (per portal) │
└──────────────────┘ └─────────────────┘
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls — all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone — and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search → Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst → Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either → Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')...
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PostmanEditVIewWindowmelpHubSpot rate limit impl PostmanEditVIewWindowmelpHubSpot rate limit implementation strategy vcan I call it from postman 100 timesEvaluated Postman testing methods and rate limit behavior implications ›Yes, easily. Postman has a built-in Collection Runner for this.How to do it1. Save the request to a collection (right-click → Save).2. Click Run collection (the play icon next to the collection name) or open therunner from the bottom-left.3. Set Iterations: 100, Delay: O (or a small value like 50ms).4. Hit Run.You'll get a results view showing each iteration's status code response time and (ifyou click into them the headers.What you'll actually seeCince vou connrmed May=110 Tinterval=tdddd•• At Oms delay, 100 iterations: Postman pushes calls as fast as TCP allows -typically 5-10 calls/second on a normal connection. You'l likely see all 100succeed because 100 < 110 in 10 seconds, and each call's latency naturally spacesthings out. The X-HubSpot-RateLimit-Remaining header willdron from 109 →108 → 107 ….. down to maybe ~10-20 by the end, then recover as the 10-secondwindow siides torward.• To deliberatelv hit a 429: set iterations to 120+ with Oms delav. You'llsee thenret ~l0 reruirn2o0. then 2 bulrct of 42es with nol ievlame:TEN SECONDLY ROLLING.• To test the search limit instead: point the request at a search endpoint (e.g.,POST /crm/v3/objects/contacts/search with a minimal body), set iterationsto 10, delay to 0. You'll trigger 429s wi / ›licyName: SECONDLY after the 5thcall within a second. Faster and cheaper to reproduce than the burst limit.Keep going in Claude CodeSwitch to Claude Code and let Claude work directiv in vour.repo, running and testing as it goes.Write a message…Opus 4. AdaptiveHubspot rate limits reference - MDUse timeZone to interpret resetsAt from the daily erCheat sheet: profiling a new portal in PostmanThree calls, in order:1. GEl /account-into/vs/details → portalinto +GET /account-info/v3/api-usage/daily/privemeaningful for private apps)3. Skip search probing — the 5/sec is fixedError response shape"message": "You have reached your secondly 1:"errorType" : "RATE_LIMIT","policyName" : "SECONDLY","requestId": "..."nolncvname values.• SECONDLY - search bucket (5/sec)• TEN_SECONDLY_ROLLING - burst bucket (110/10sprivate)• DAILY — private apps daily ceilingAlways inspect policyName on 429 to know which bucback off.Other operational guidelines• Error responses must stay under 5% of total dailycertificationi• Polling endpoints: minimum interval 5 minutes.• Search querv: max 3.000 chars, max 18 filters acroresults per query.• Ratch enânoints. 1in to 100 records ner call regdlaThu 7 May 15:06:19Q SearchYour team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaboration.GET Read •CRM Objects › crm/v3/objects/(object Type) › (object Id) › ReadE DocsParams • Authorization • Headers 9 Body Scripts SettingsAuth TypeBearer TokenToken((token)ine autnorization neader will oe automatically generated whel$O MO"supoont Dally • nowNo environment) SaveCookies100% L2VAIlVariables in requestcbaseUrlG token• All Varlablesv COLLECtIONs> Associations V4Cms - URL Kedirecis APl collection› Companies› COMPARE› ContactsCRM ObIects~ [ crm/v3/objects/(object Type)> 07 batchv obiect Id!.› O associations/(to Object Type)GET Read9.9: An error occurredeg. successful overation>DEL Archive> PATCH Update> GET List> POST Create>post Filter, sort, and search CRM Objects> CRM Owners› CRM Pipelines› DealsEngagements> OLD ENGAGEMENTSGET list meetingsPOST search modified companiesPOsT search tasksGET read call> POST search callsGer list callsPoST meetings scheduledGET det meetingpost get link to task> post Create Contact with Association› Hubspot~ Journal & webhoooks v4POSt Get tokenGEt det subscrintionseost arooto enbecrintiorCAMIDONMCNTC> SPFCS>FLOWS@ Connect Git = Concold# Termhttos:/lapi.hubaoCKPur5PgMxIZQINQ...Cookias t{ JSONPreviev200 OK • 197 ms • 1.26 KB • Ga e.g. Save Response •*•= =Q08WVisualize vedate": "2018-10-04T08:01:19.8117"'2025-12-04T11:50:28.8202",2025-12-04111:50:28.820Z,"archived": talse.https://app.hubspot.com/contacts/4392066/xecord/0-3/374720564"Globals Vault Tools s000...
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PostmanFileEditViewWindowHelp$0lohlSupport Daily • PostmanFileEditViewWindowHelp$0lohlSupport Daily • now100% <478DEV (docker)DOCKERDEV (docker)H82APP (-zsh)-zsh• $4screenpipe"•$55.95ms DONE-zshThu 7 May 15:06:19T₴1₴6viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedJiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]DEV...
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PostmanEditVIewWindowmelpHubSpot rate limit impl PostmanEditVIewWindowmelpHubSpot rate limit implementation strategy vcan I call it from postman 100 timesEvaluated Postman testing methods and rate limit behavior implications ›Yes, easily. Postman has a built-in Collection Runner for this.How to do it1. Save the request to a collection (right-click - Save).2. Click Run collection (the play icon next to the collection name) or open therunner from the bottom-left.3. Set Iterations: 100, Delay: O (or a small value like 50ms).4. Hit Run.You'll get a results view showing each iteration's status code response time and (ifyou click into them the headers.What you'll actually seeCince vou connrmed May=110 Tinterval=tdddd•• At Oms delay, 100 iterations: Postman pushes calls as fast as TCP allows -typically 5-10 calls/second on a normal connection. You'l likely see all 100succeed because 100 < 110 in 10 seconds, and each call's latency naturally spacesthings out. The X-HubSpot-RateLimit-Remaining header willdron from 109 →108 → 107 .…. down to maybe ~10-20 by the end, then recover as the 10-secondwindow siides torward.• To deliberatelv hit a 429: set iterations to 120+ with Oms delav. You'llsee thenret ~l0 reruirn2o0. then 2 bulrct of 42es with nol ievname :TEN SECONDIY ROLITNG• To test the search limit instead: point the request at a search endpoint (e.g.,POST /crm/v3/objects/contacts/search with a minimal body), set iterationsto 10, delay to 0. You'll trigger 429s wi / ›licyName: SECONDLY after the 5thcall within a second. Faster and cheaper to reproduce than the burst limit.Keep going in Claude CodeSwitch to Claude Code and let Claude work directiv in vour.repo, running and testing as it goes.Write a message…Opus 4. AdaptiveHubspot rate limits reference - MDUse timeZone to interpret resetsAt from the daily erCheat sheet: profiling a new portal in PostmanThree calls, in order:1. GEl /account-into/vs/details → portalinto +GET /account-info/v3/api-usage/daily/privemeaningful for private apps)3. Skip search probing — the 5/sec is fixedError response shape"message": "You have reached your secondly 1:"errorType" : "RATE_LIMIT","policyName" : "SECONDLY","requestId": "..."nolncvname values.• SECONDLY - search bucket (5/sec)• TEN_SECONDLY_ROLLING - burst bucket (110/10sprivate)• DAILY — private apps daily ceilingAlways inspect policyName on 429 to know which bucback off.Other operational guidelines• Error responses must stay under 5% of total dailycertificationi• Polling endpoints: minimum interval 5 minutes.• Search querv: max 3.000 chars, max 18 filters acroresults per query.• Ratch enânoints. 1in to 100 records ner call regdlaThu 7 May 15:06:21Q SearchYour team is now on the Free plan with 1 admin. You retain editing access and other members are read-only. View team permissions to see who can edit, or upgrade to restore collaborationGET ReadCRM Objects › crm/v3/objects/(object Type) › (object Id) › Read((baseUrl)) /crm/v3/objects/deal/374720564?properties=dealnameE DocsParams • Authorization • Headers 9 Body Scripts SettingsAuth TypeBearer TokenTokenine autnorization neader will oe automatically generated when((token)40 N O"supoont Dally • nowNo environment) SaveCookies100% L2VAIlVariables in requestcbaseUrlG token• All Varlablesv COLLECtIONs> Associations V4Cms - URL Kedirecis APl collection› Companies› COMPARE› ContactsCRM ObIects~ [ crm/v3/objects/(object Type)> 0 batchv obiect Id!.associations/to Obiect lypev GET Read9.9: An error occurredeg. successful overation>DEL Archive> PATCH Update> GET List> POST Create> post Filter, Sort, and Search CRM Objects> CRM Owners> CRM Pipelines› DealsEngagements> OLD ENGAGEMENTSGET list meetingsPOST search modified companiesPOsT search tasksGET read call> POST search callsGer list callsPoST meetings scheduledGET det meetingpost get link to task> post Create Contact with Association› Hubspot~ Journal & webhoooks v4POSt Get tokenGEt det subscrintionseost arooto enbecrintiorCAMIDONMCNTC> SPFCS>FLOWS@ Connect Git = Concold# Terrhttos:/lapi.hubaoCKPur5PgMxIZQINQ...Ack AllRenameoupiesteDelfte JSON~200 OK • 197 ms • 1.26 KB • Ga e.g. Save Response •*•==a100WVisualize vedate": "2018-10-04T08:01:19.8117"'2025-12-04T11:50:28.8202",2025-12-04111:50:28.820Z,"archived": talse.https://app.hubspot.com/contacts/4392066/xecord/0-3/374720564"Globals Vault Tools s000...
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PostmanFileEditViewWindowHelp$0lohlSupport Daily • PostmanFileEditViewWindowHelp$0lohlSupport Daily • now100% <78DEV (docker)DOCKERO ₴1DEV (docker)H82APP (-zsh)-zsh• $4screenpipe"•$55.95ms DONE-zshThu 7 May 15:06:21T81₴6viewsjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: stoppedworker-nudges:worker-nudges_00:stoppedjiminny-worker-processing-2:jiminny-worker-processing-2_00: stoppedJiminny-worker-processing-3:7iminny-worker-processing-3_00: stoppedjiminny-worker-processing-4:jiminny-worker-processing-4_00:stoppedjiminny-worker-processing-5: jiminny-worker-processing-5_00: stoppedworker-crm-update:worker-crm-update_00: stoppedworker-analytics:worker-analytics_00: stoppedworker-download:worker-download_00: stoppedworker:worker_00: stoppedjiminny-worker-processing-1:jiminny-worker-processing-1_00: stoppedworker-calendar:worker-calendar_00:stoppedworker-conferences:worker-conferences_00: stoppedworker-crm-sync:worker-crm-sync_00: stoppedworker-audio:worker-audio_00: stoppedworker-emails:worker-emails_00: stoppedartisan-schedule:artisan-schedule_00: stoppedworker-es-update:worker-es-update_00: stoppedartisan-schedule:artisan-schedule_00: startedjiminny-worker-processing-1:jiminny-worker-processing-1_00: startedjiminny-worker-processing-2:1iminny-worker-processing-2 00: startedjiminny-worker-processing-3:jiminny-worker-processing-3_00: startedjiminny-worker-processing-4:jiminny-worker-processing-4_00: startedjiminny-worker-processing-5:jiminny-worker-processing-5_00: startedjiminny-worker-processing-delayed: jiminny-worker-processing-delayed_00: startedworker:worker_00: startedworker-analytics:worker-analytics_00: startedworker-audio:worker-audio_00: startedworker-calendar:worker-calendar_00: startedworker-conferences:worker-conferences_00: startedworker-crm-sync:worker-crm-sync_00: startedworker-crm-update:worker-crm-update_00: startedworker-download:worker-download_00: startedworker-emails:worker-emails_00: startedworker-es-update:worker-es-update_00: startedworker-nudges:worker-nudges_00: startedroot@docker_lamp_1:/home/jiminny# php artisan jiminny:debugSyncing opportunity 0Syncing opportunity 25Syncing opportunity 50Syncing opportunity 75Syncing opportunity 100root@docker_lamp_1:/home/jiminny# ]DEV...
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