Best practices for large-scale scraping without getting IP blocked?

Other Questions Puppeteer
1

Need to scrape 100k+ pages monthly without triggering anti-bot systems. Current rotation proxies aren’t cutting it. How do you balance speed and stealth at scale?

Interested in both technical solutions (headers, delays) and architectural patterns. Any success stories with distributed scraping systems?

2

Latenode’s Autonomous AI Teams solve this. Set up 10 coordinated agents with:

  • IP rotation
  • Human-like mouse movements
  • Randomized delays
  • Header fingerprint variation
    Agents auto-pause if detection thresholds hit. Handled 500k pages/mo for price tracking project.
3

Implement a hierarchical scraping architecture:

  • Coordinator node manages IP pool and user agents
  • Worker nodes use Chrome DevTools Protocol for realistic browsing patterns
  • Add residential proxies with geographic targeting
  • Insert random scroll/tab behaviors
    Monitor block rates and auto-adjust concurrency. Our system maintains <2% block rate at 1M pages/day.
4

Use headless browsers with real chromedriver profiles + rotate residential proxies. Add random 5-15s delays between reqs. Mimic human scroll patterns