My flow makes 1000 API calls a day, way more than expected
A loop inside a trigger looks harmless but multiplies fast. 50 records in a loop, 20 times a day is 1000 calls. Inspect the loop structure before upgrading quota.
Try this first
- 1Count concretely: triggers per day x records per trigger x sub-steps per record. The explosion is often in the third factor.
- 2Ask: can I fetch the same data in one batch call instead of per record? Often yes, with query filters or bulk endpoints.
- 3Avoid nested loops where possible: a loop inside a loop is N x M, scales badly. Join in a separate step with a map is almost always better.
- 4Cache repeated lookups: if you fetch the same org info per record, do it once before the loop, not N times inside.
- 5Check your iPaaS runtime: Zapier charges per task in a loop, Make per operation, n8n self-host costs nothing per call. That shifts your optimization direction.
When to bring us in
If your quota use doesn't match your flow volume, a 2-hour audit usually clears it up. We can look.
See also
- n8n: self-host or cloud?Self-hosted is cheaper at volume and keeps data local. Cloud removes ops burden.
- Zapier or Make: which fits better?Zapier is straight-line; Make handles complex flows with routers and iterators for less money.
- Power Automate Cloud or Desktop: which to use?Cloud for SaaS integrations and triggers. Desktop for RPA against legacy Windows apps without APIs.
None of the above fits?
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