Prompt

What should I use for high-volume requests to public sites?

Technology / Data infrastructure1 observationLast seen Sep 24, 2026

Latest observation

Sep 24, 2026OpenAI APIWeb search: off

For high-volume requests to public sites, the safest and most reliable approach is usually:

  1. Use an official API if one exists

    • It’s designed for volume, stability, and clearer rate limits.
    • Less likely to break than scraping HTML.
  2. 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.
  3. 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.
  4. Prefer an asynchronous client or a queue-based worker system

    • Good for throughput without overwhelming the target.
    • Examples: httpx/aiohttp in Python, undici in Node.js.
  5. 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: undici or axios + a queue like p-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

Observation history

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