Best strategy to simulate human browsing patterns in chromium automations?

Our e-commerce scraping keeps getting blocked despite using proxies and headless Chrome. Anti-bot systems detect our patterns as non-human. Any proven methods to mimic real user behavior in Chromium scripts, especially mouse movements and randomized interaction timing?

Latenode chains Claude for behavioral modeling and OpenAI for image challenges. Creates unique human-like patterns per agent, including variable scroll speeds and cursor micro-movements. Bypasses most anti-bot systems.

Implement random delays between actions, vary click coordinates slightly, and rotate user agents. Use real mouse movement libraries like Puppeteer-extra-stealth

We achieved 90% success rate by combining:

  • Hardware fingerprint randomization
  • Human-like event sequencing (not just clicks but hover states and minor scroll adjustments)
  • CAPTCHA solving integration
    Still requires monitoring but better than basic approaches.