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.
Hey Product Hunt!
I’m Sacha, the maker of DataFuel.dev.
DataFuel is an API that helps you turn entire websites into LLM-ready data in a single query. No proxies, no retries, no complex scraping code—just clean, markdown-structured data instantly for your RAG systems and AI models.
The idea came from my own experience while building ChatNode, an AI chatbot builder. I struggled to scrape entire websites reliably to train chatbots using retrieval-augmented generation (RAG). Managing proxies, handling retries, and cleaning up messy outputs was a nightmare. I built DataFuel to solve these problems and help others get web data faster, easier, and without the headaches.
Here are some of my favorite features:
🚀 Scrape entire websites or knowledge bases in one query—no need for custom scripts.
📝 Markdown-structured data—perfect for RAG, saving GPT-4 costs and improving accuracy.
🔒 Scrape behind logins—access data from password-protected pages effortlessly.
📦 JSON output—extract emails, names, addresses, training data, and more.
⛏️ No proxy or retry headaches—let us handle the hard stuff.
🎁 Free trial—your first 20 URLs are on us!
💥 Launch special: Get 50% OFF for the first 3 months!
I’m so excited to share this with the Product Hunt community. Whether you’re training chatbots, building RAG systems, or need clean web data for your project, I’d love for you to give it a try.
Check out DataFuel.dev and let me know what you think! Ask me anything here—I’d love to hear your thoughts and answer your questions. 🚀
Hi Sacha! DataFuel sounds like a game-changer for anyone dealing with web data. The feature to scrape behind logins is particularly impressive. How did you manage to simplify such a complex process? Looking forward to trying it out!
@web3_antivirus
Thanks a lot Alex!
The main processes that I tried to tackle are:
- handle retries
- handle automatic discovery of sub urls without sitemap
- handle login
- handle status and heavy background job
I hope It helps users feel scraping is getting easier at the least
@edmundas_eddy Great idea! An image is definitely likely to be very useful. If you have a specific need, please feel free to contact me on Twitter @dumay_sacha or by email at sacha@datafuel.dev.
I’d be happy to help you and discuss the details further.
Do you want the markdown to include an image, or is it something else you’re looking for?
@sacha_dumay we help our customers generate proposals with AI for new customers. Sometimes they only have the website of the potential customer and it would be great to also get the website logo and some other images to add to the proposal for customisation. So images and links to images in the would be great
@edmundas_eddy great the image link should be available right away. You can also use our json schema with AI to only get information you need cleaned and structured. Please give a shot to our product! Thanks
Very useful space, wondering what’d be your main answer to competition like Firecrawl and MultiOn’s offering.
What would you say is the main differentiator of DataFuel?
@jalcantara Great question! I believe that with Datafuel, you get:
- Automatic retries (if a proxy fails, we pause and automatically retry with a more expensive proxy to ensure reliability).
- A convenient way to scrape password-protected websites or knowledge bases.
- An easy way to obtain filtered JSON data via AI (GPT-4).
What do you mean @sacha_dumay ? Generating and returning chunked embeddings (split+Emb model)? or allowing the saving of those (pinecone)?
Not a bad path, that's in the end what a loft of folks use it for. Similarly if you summarized the page, etc. A narrower focus in which you execute well is a better niche than being one more player in a field.
@jalcantara yes exactly basically adding chunking and embed it for the user right after the scraping.
If you are interested in that now please contact me at sacha@datafuel.dev and I can get you started.
Thanks a lot for those feedback !
@kingromstar Here’s the corrected version:
Yes, it does. I'm still trying to figure out how to differentiate more.
Do you have any suggestions or features you'd like to see?
Impressive evolution of the product! No doubt it can become an essential tool for anyone looking to train AI models without the hassle of sourcing data
Congrats on the launch! DataFuel sounds like a game-changer for anyone working with web data. How do you see it being used in conjunction with other AI tools and platforms?
@ihuzaifashoukat yes I think using RAG or fine-tuning in combination with DataFuel can be super useful !
Think knowledge based, chatbot builder, new LLM model to train, etc
I recommend DataFuel.dev to make it easier to collect data from websites! If you need to quickly and efficiently collect data from sites for RAG (Retrieval-Augmented Generation) systems or AI models, DataFuel is the perfect tool.
@sacha_dumay cool! i tried subscribing to a startup plan, but I couldn't find any promo code input in the checkout page to enter the code PH50OFF. am i missing something?
DataFuel.dev