Alternatives
Products that do what RAG Playground does
Turn any URL into LLM-ready Markdown.
- 1CH
2024 · github.com
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RAG-ready web scraping that cuts your LLM token costs
Apr 2026 · geekflare.com
- 5TA
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...
2024 · embedding.io
- 6HT
Hey HN! I originally built “html-to-markdown” back in 2018 (while still in high school) to handle complex HTML conversions where other libraries struggled. Now, I’ve released v2 — a complete rewrite designed to handle even more edge cases. It supports entire websites with a high accuracy. Example use: I’ve used it in my RSS reader to strip HTML down to clean Markdown, similar to the "Reader Mode" in your Browser. It can be used as a Golang package or as an CLI. Give it a try & tell me what edge cases you encounter!
2024 · github.com
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- 9IM
My partner usually writes substack posts which I then mirror to our website’s blog section. To automate this, I made a simple tool to scrape the post and clean it so that I can drop it to our blog easily. This might be useful to others as well. Oh and ofcourse you can instruct GPT to make any final edits :D
2024 · markdowndown.vercel.app
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- 11AT
While building mendable - we found that feeding LLMs well-structured markdown improved accuracy. We also found it surprisingly hard. We found some great tools online, but none reliably handled the entire process. We wanted an API that took a URL, crawled the pages in the URL, and gave us an easy-to-use, up-to-date markdown we could feed into our index. So, we released an open-source repo and an API that crawls and turns entire websites into a markdown with just a few lines of code The API handles: - Crawling without consistent sitemaps - Infra to handle running many crawling jobs - Proxying,…
2024 · firecrawl.dev
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- 13LS
2024 · github.com
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- 16IW
Hey HN, I made Browser-Use, an open-source tool that lets (all Langchain supported) LLMs execute tasks directly in the browser just with function calling. It allows you to build agents that interact with web elements using natural language prompts. We created a layer that simplifies website interaction for LLMs by extracting xPaths and interactive elements like buttons and input fields (and other fancy things). This enables you to design custom web automation and scraping functions without manual inspection through DevTools. Hasn't this been done a lot of times? Good question, as a general…
2024 · github.com
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Turn PDFs, Docs, Slides & URLs into LLM-ready Markdown
Oct 2025
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- 19MP
2018 · github.com
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Hi HN, I'm new to Rust and, after half of `The Rust Programming Language` I decided to delve into a project I would actually use: a markdown to html compiler that actually serves my micro-blog (I started just right after publishing the project hehe). The project is intentionally small and one-file contained: I wanted to have the full picture in mind. I'm open to comments, suggestions and PRs. If you asked me more convincing arguments to "why did you do it?" rather than "to learn Rust" I would respond with: LLMs are effectively a new type of web users today and will be more and more present…
Jul 2026 · andreadimatteo.com
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Bulk-convert HTML to Markdown for AI — private, in-browser
27d ago · html-to-markdown-ai.com
- 22DD
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!
2024 · datafuel.dev
- 23RL
While working with LLMs for structured web data extraction, we saw issues with invalid JSON and broken links in the output. This led me to build a library focused on robust extraction and enrichment: - Clean HTML conversion: transforms HTML into LLM-friendly markdown with an option to extract just the main content - LLM structured output: Uses Gemini 2.5 flash or GPT-4o mini to balance accuracy and cost. Can also also use custom prompt - JSON sanitization: If the LLM structured output fails or doesn't fully match your schema, a sanitization process attempts to recover and fix the data,…
2025 · github.com
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