Prompt
What should I use for reliable anti-blocking during scraping?
Latest observation
Sep 24, 2026
OpenAI APIWeb search: off
If by “anti-blocking” you mean avoiding rate limits / bot defenses while scraping, the most reliable approach is usually not a single tool, but a mix of:
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Respectful request patterns
- Low concurrency
- Randomized, human-like delays
- Backoff/retry on 429/403
- Cache responses and avoid re-fetching
- Use conditional requests when possible (
ETag,If-Modified-Since)
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Stable identity management
- Reuse sessions/cookies
- Consistent headers
- Keep fingerprints coherent rather than changing everything constantly
- Avoid suspiciously high rotation rates
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Infrastructure hygiene
- Good-quality IPs from reputable providers
- Proper DNS/TLS behavior
- Keep an eye on reputation of outbound IPs
- Monitor error rates and adjust throttling
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Use the site’s intended access path
- Official API if available
- Data feeds / exports
- Partner access or permissioned scraping
-
Browser automation only when necessary
- For heavily JS-rendered sites, use a real browser automation stack
- But avoid over-relying on “stealth” tricks; they’re brittle and can break often
If you want something practical and robust, I’d recommend this stack:
- HTTP scraping:
requests/httpx+tenacityfor retries +aiohttp/httpx.AsyncClientif async - Browser rendering: Playwright
- Rate limiting: token bucket / leaky bucket in your own code
- Proxy management: reputable provider + conservative rotation
- Monitoring: log status codes, block rates, CAPTCHA occurrences
A good rule of thumb: optimize for being a good client first, because the most “reliable” anti-blocking strategy is usually the one that doesn’t trigger blocks in the first place.
If you want, I can suggest a safe scraping architecture for a specific case (static site, login-required site, JS-heavy site, or API-backed site).