DataFuel.dev – Turn websites into LLM-ready data
Just launched DataFuel.dev on Product Hunt last Sunday, and I landed in the top 3! I built this API after working on an AI chatbot builder. Scraping can be a pain, but we need clean markdown data for fine-tuning or doing RAG with new LLM models. DataFuel API helps you transform websites into LLM-ready data. I've already got my first paying users. Would love your feedback to improve my product and my marketing!
DataFuel.dev – Turn websites into LLM-ready data launched on December 13, 2024 with 43 votes, #524 of 5,365 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
DataFuel.dev is an API that converts websites into clean markdown data formatted for use with large language models. It addresses the complexity of web scraping by preparing data specifically for fine-tuning and retrieval-augmented generation tasks. The tool is designed for developers and AI teams who need structured, LLM-ready data from web sources without manual processing.
written from the facts on this page · September 2026
From the sources
Turn websites into LLM-ready data. Build better RAG systems and train AI models with clean, structured web data. DataFuel handles the complex parts of web scraping, so you can focus on your AI innovations.
Discover the various ways our web scraping solution can help your business grow. Transform websites into clean, structured datasets perfect for retrieval-augmented generation (RAG) applications. Automate the collection of diverse, high-quality datasets for fine-tuning language models and AI applications. Create comprehensive knowledge bases from multiple web sources for enhanced AI context and reasoning. Track and collect AI-related news, research papers, and technical documentation to stay current. Gather diverse real-world data to evaluate and benchmark your LLM performance across different domains. Extract and structure technical documentation and API references for AI training and…from datafuel.dev
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Context.devJul 2026 · context.dev · ▲814Hello, My name is Yahia, I've been working on scraping products for a long time and maintain a couple of free sites in my spare time (E.g. knifegeek.io) What prompted this is i've rebuilt scraping infra at every company I've started and finally just made it a product. Pass a URL, get clean markdown, html, images, sitemap or pass a domain, get logos, colors, socials, industry data. Goal is to offer a better service than VC funded competitors at a fraction of the cost. Stealth is included and automatic at no additional cost (normally an upcharge by alternatives). Would love your honest thoughts.
LLM Scraper – turn any webpage into structured data2024 · github.com · ▲88Turn any webpage into structured data using LLMs. Contribute to mishushakov/llm-scraper development by creating an account on GitHub.
Turn any website into a knowledge base for LLMs2024 · embedding.io · ▲305I built this tool because I wanted a way to just take a bunch of URLs or domains, and query their content in RAG applications. It takes away the pain of crawling, extracting content, chunking, vectorizing, and updating periodically. I'm curious to see if it can be useful to others. I meant to launch this six months ago but life got in the way...
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