
DataFuel.dev
Turn websites into LLM-ready data.
In plain words
DataFuel.dev provides an API that scrapes websites and knowledge bases and converts them into markdown-formatted data ready for use with language models and RAG systems. Developers can retrieve clean, structured web content through a single query without writing custom scraping code. The tool is designed for builders working with AI applications who need reliable data extraction workflows.
written from the facts on this page · September 2026
From the sources
DataFuel API scrapes entire websites and knowledge bases in a single query. Get clean, markdown-structured web data instantly for your RAG systems and AI models. No complex scraping code needed.
Does the same job
all alternatives →- DDDataFuel.dev – Turn websites into LLM-ready data2024 · datafuel.dev · ▲43
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!

- LSLLM Scraper – turn any webpage into structured data2024 · github.com · ▲88

- TATurn any website into a knowledge base for LLMs2024 · embedding.io · ▲305
I 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...

More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com

