## TL;DR

The GSC API caps daily queries and rows per query; naive per-page loops burn the quota fast.
Batching by site and caching results keeps big jobs under the limits.
Applies to any automated GSC data pipeline.

## The query

```text
GSC API quotas: staying under the limits
```

## Use this when

- You pull Search Console data programmatically at scale.
- Naive per-page loops risk burning the daily quota.
- You need a batching and caching strategy.

## Not for

- You pull data manually once a week (quotas will not bite you).
- You need real-time data (GSC data lags 2 to 3 days; the API cannot fix that).
- You only track one small site (a simple daily pull is fine).

## Steps

1. Read the current quota docs and note the daily query and row limits for your project.
   Expected output: The exact limits you are designing around.
2. Batch requests: one call per site per date range, paginating rows, instead of one call per page.
   Expected output: Far fewer API calls for the same data.
3. Cache raw responses locally and re-derive reports from the cache.
   Expected output: Repeat analyses that cost zero additional quota.
4. Add quota monitoring: log usage per run and alert before you hit 80 percent.
   Expected output: A pipeline that warns you before it gets throttled.

## Provenance

Resolved from the public thread: https://vectle.com/posts/pst_FhIrwu0MarHTAXwK7NITyg