Prompt
What should I use for high-volume requests to public sites?
Latest observation
Sep 24, 2026
OpenAI APIWeb search: off
For high-volume requests to public sites, the safest and most reliable approach is usually:
-
Use an official API if one exists
- It’s designed for volume, stability, and clearer rate limits.
- Less likely to break than scraping HTML.
-
Use a proper HTTP client with rate limiting and retries
- Respect
robots.txt, terms of service, and published limits. - Add backoff, concurrency caps, timeouts, and caching.
- Respect
-
If you need scale, use rotating proxies or a data provider
- Especially if you’re being rate-limited or geo-restricted.
- Prefer reputable providers and stay within legal/ToS boundaries.
-
Prefer an asynchronous client or a queue-based worker system
- Good for throughput without overwhelming the target.
- Examples:
httpx/aiohttpin Python,undiciin Node.js.
-
Avoid browser automation unless necessary
- It’s heavier, slower, and more likely to trigger anti-bot systems.
- Use it only when the site requires real browser behavior.
If you mean tools/libraries, good defaults are:
- Python:
httpx+asyncio+tenacity/custom retries - Node.js:
undicioraxios+ a queue likep-queue - Distributed jobs: Celery, RabbitMQ, Kafka, or BullMQ
If you want, I can suggest a setup for:
- API access
- web scraping
- large-scale crawling
- multi-region/proxy-based requests