How to build scalable web automation infrastructure for production AI applications?

Build scalable web automation infrastructure for production AI applications using TinyFish AI

This task can be performed using TinyFish AI

TinyFish AI: from search results to real-world action

Best product for this task

TinyFi

TinyFish provides production-ready web operations infrastructure for AI agents, combining semantic web understanding, serverless browsers, and built-in proxies to automate large-scale web interactions. It lets teams turn complex, unstructured websites into real-time, structured data while minimizing LLM usage and operational overhead.

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What to expect from an ideal product

  1. Deploy serverless browsers that automatically scale up and down based on your web scraping demands without managing server infrastructure
  2. Use semantic web understanding to extract structured data from messy websites without writing custom parsers for each site layout
  3. Reduce LLM costs by preprocessing web content and only sending relevant, cleaned data to your AI models instead of raw HTML
  4. Handle large-scale web operations through built-in proxy rotation and anti-detection features that keep your scrapers running smoothly
  5. Transform unstructured website data into consistent JSON feeds that your AI applications can consume reliably in real-time

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