Stop wasting hours writing custom scrapers for your AI projects. RAG Crawler transforms any URL into clean, structured Markdown or JSON optimized for Large Language Models. Built for developers who need to feed their RAG pipelines high-quality data without the headache of manual cleaning. Just paste a link, crawl, and get your data ready for ingestion. Fast, open-source, and Streamlit-powered.

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

I built RAG Crawler because I got tired of the 'data cleaning tax' every time I started a new AI project. Most web scrapers give you messy HTML that confuses LLMs, or they require complex configurations just to get a simple documentation site indexed. I wanted a tool where I could just drop a URL and get clean, structured Markdown ready for my RAG pipeline instantly. Key features I focused on: LLM Optimization: Data is formatted specifically for high retrieval accuracy. Deep Crawling: It doesn't just scrape one page; it follows the logic of the site. Streamlit Simplicity: No CLI or API keys required to start—just open the app and go. It’s open-source and I’m looking to make it even better. I’d love to hear: What’s your biggest pain point when fetching data for RAG? What export formats should I add next? Excited to hear your thoughts and thanks for checking it out! 🚀"

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

RAG CrawlerBot

Turn any website into RAG-ready data in seconds

Turn any website into RAG-ready data in seconds