Robust LLM extractor for websites in TypeScript
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…
Robust LLM extractor for websites in TypeScript launched on March 26, 2026 with 72 votes, #656 of 23,380 launches that month and more than 95% of that year's launches.
In plain words
Robust LLM extractor for websites is a TypeScript tool that uses large language models to extract structured data from websites. It addresses common pain points in web scraping by cleaning noisy HTML, validating JSON responses, and handling URL normalization automatically. The tool reduces token costs and prevents pipeline failures caused by malformed data or website layout changes, making it suitable for developers building data extraction pipelines.
written from the facts on this page · September 2026
From the sources
Use LLMs to robustly extract web data. Contribute to lightfeed/extractor development by creating an account on GitHub.
In the maker’s words, at launch
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…
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