How we built the first AI-powered web scraping assistant
Web scraping traditionally required writing complex CSS selectors, XPath queries, and handling countless edge cases. When page structures changed, scrapers broke. Engineers spent more time maintaining scrapers than building products.
What if you could just describe what you want in plain English? "Extract the product name, price, and reviews from this Amazon page." No selectors. No maintenance. Just results.
We partnered with Anthropic to integrate Claude 4.5 into our scraping pipeline. The AI understands page structure, identifies relevant data, and extracts it accurately - even when page layouts change.
Today, ShadowCopilot powers millions of extractions daily. It handles everything from simple data extraction to complex multi-step workflows. And it's just getting started.
Describe what you want in plain English. No CSS selectors needed.
Analyze screenshots to extract data from complex visual layouts.
AI agent that can navigate complex multi-step flows automatically.
AI decides optimal retry strategy based on error type and history.