POC to scrape and structure HTML into JSON for RAG
Hey all, I built a quick PoC that scrapes a webpage, sends the content to Gemini Flash, and outputs a clean, structured JSON — ready for RAG workflows. In my case, I’ll use this structured data to enhance models by integrating external knowledge sources during the generation process. Curious if you think this has potential or if there are any use cases I might have missed. Happy to share more details if there's interest!
Does the same job
all alternatives →
Tabstack Structured ExtractionJun 2026 · ▲199Extract web data into structured JSON, no scraper required.
- SAScraperjs – A versatile web scraper2014 · github.com · ▲192
- AOAirgapped Offline RAG – Run LLMs Locally with Llama, Mistral, & Gemini2024 · github.com · ▲9
I've built an airgapped Retrieval-Augmented Generation (RAG) system for question-answering on documents, running entirely offline with local inference. Using Llama 3, Mistral, and Gemini, this setup allows secure, private NLP on your own machine. Perfect for researchers, data scientists, and developers who need to process sensitive data without cloud dependencies. Built with Llama C++, LangChain, and Streamlit, it supports quantized models and provides a sleek UI for document processing. Check it out, contribute, or suggest new features!
- WSWeb Scraping Language (WSL)2019 · scrape.it · ▲11
- BJbehold, jsonifier2011 · ▲10
Just a simple tool I hacked together last night. I wanted to paste a bunch of JSON for reference in an IRC channel, but the JSON that I wanted to paste was not formatted. I didn't quickly find a pastebin that formatted JSON for me so I just made one. It's probably so simple that it's borderline useless, but here it is! http://jsonifier.com/ example output: http://jsonifier.com/paste/4e3f84b46f3b792dde000000
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