Hi Product Hunt community! I’m Tryfon, the maker behind TAF Scraper. We actually built TAF Scraper out of sheer necessity. While working on WebRebuilder (webrebuilder.com), a platform designed to rebuild existing websites, we ran into a massive wall: no scraper on the market was powerful or smart enough to extract full, complex websites with their complete structural and visual context intact. Legacy scrapers broke on dynamic layouts, got blocked instantly, or dumped raw HTML that was useless for high-fidelity AI processing. So, we built our own engine that leverages AI to scrape websites with full contextual understanding. When we saw how effortlessly it captured site architecture and delivered structured data via a simple API, we realized this shouldn't just be an internal utility—it needed to be a standalone tool for every developer facing the same friction. What is TAF Scraper? TAF Scraper is a context-aware, AI-native data extraction engine that turns any complex web page or full site into clean, structured data via API. Key Features: Context-Aware AI Extraction: Uses AI to understand page layout and context automatically, rather than relying on brittle CSS selectors. Self-Healing Pipelines: Adapts on the fly when target website layouts, DOM trees, or styling update. Natural Language Prompting: Define the exact schema you want in plain English and receive schema-validated JSON or CSV exports. Anti-Bot & Proxy Handling: Built-in residential proxy rotation and browser rendering to bypass CAPTCHAs and Cloudflare seamlessly. Developer-First API & Webhooks: Plug structured data feeds directly into your applications, AI agents, or LLM context windows. Try it out at tafscraper.com and let us know what you think! I’d love to hear your feedback, feature requests, or edge-case websites in the comments below!

TafScraper

AI-powered web scraper to extract clean web data in seconds

AI-powered web scraper to extract clean web data in seconds