LLM Scraper – turn any webpage into structured data

In plain words

LLM Scraper converts webpages into structured data using language models. It's designed for developers and data analysts who need to extract and organize information from websites without building custom parsers. The tool leverages AI to understand page content and automatically format it into usable data structures, eliminating manual scraping work and reducing the need for traditional parsing code.

written from the facts on this page · September 2026

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  Robust LLM extractor for websites in TypeScriptMar 2026 · github.com · ▲72

  We've been building data pipelines that scrape websites and extract structured data for a while now. If you've done this, you know the drill: you write CSS selectors, the site changes its layout, everything breaks at 2am, and you spend your morning rewriting parsers. LLMs seemed like the obvious fix — just throw the HTML at GPT and ask for JSON. Except in practice, it's more painful than that: - Raw HTML is full of nav bars, footers, and tracking junk that eats your token budget. A typical product page is 80% noise. - LLMs return malformed JSON more often than you'd expect, especially with…

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  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...

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