Individual skill
apify-rate-limits
Handle Apify API rate limits with proper backoff and request queuing. Use when hitting 429 errors, optimizing API request throughput, or implementing rate-aware client wrappers. Trigger with "apify rate limit", "apify throttling", "apify 429", "apify retry", "apify backoff", "too many requests apify".
skills/.curated/apify-rate-limits/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Last checked
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- Repository last updated
- Nov 12, 2026
- License
- MIT
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- scraping Declared skill tag
- automation Declared skill tag
- apify Declared skill tag
- engineering Derived category
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SKILL.mdcore · 5,371 bytesreferences/examples.mddoc · 2,327 bytesreferences/implementation.mddoc · 5,124 bytes
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# Apify Rate Limits
## Overview
The Apify API enforces rate limits per resource. The `apify-client` library
auto-retries 429s (up to 8 times with exponential backoff), so most workloads never
notice a limit. You reach for this skill when bulk operations, custom API calls, or
large fan-outs push past what the built-in retry can absorb — you then batch, queue,
stagger, and monitor to stay under the ceiling.
Full runnable code for every step is in
[implementation.md](references/implementation.md); combined scenarios are in
[examples.md](references/examples.md).
### Apify rate limit rules