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Robust LLM extractor for websites in TypeScript

Details

External ID
47526486
Source
HN
Company
—
Product
Robust LLM extractor for websites in TypeScript
Website domain
github.com
Launched
March 26, 2026
Cohort
—
Upvotes
72
Upvotes percentile
0.8788437884378844
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

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 nested arrays and complex schemas. One bad bracket and your pipeline crashes. - Relative URLs, markdown-escaped links, tracking parameters — the "small" URL issues compound fast when you're processing thousands of pages. - You end up writing the same boilerplate: HTML cleanup → markdown conversion → LLM call → JSON parsing → error recovery → schema validation. Over and over.We got tired of rebuilding this stack for every project, so we extracted it into a library.Lightfeed Extractor is a TypeScript library that handles the full pipeline from raw HTML to validated, structured data:- Converts HTML to LLM-ready markdown with main content extraction (strips nav, headers, footers), optional image inclusion, and URL cleaning - Works with any LangChain-compatible LLM (OpenAI, Gemini, Claude, Ollama, etc.) - Uses Zod schemas for type-safe extraction with real validation - Recovers partial data from malformed LLM output instead of failing entirely — if 19 out of 20 products parsed correctly, you get those 19 - Built-in browser automation via Playwright (local, serverless, or remote) with anti-bot patches - Pairs with our browser agent (@lightfeed/browser-agent) for AI-driven page navigation before extractionWe use this ourselves in production at Lightfeed, and it's been solid enough that we decided to open-source it.GitHub: https://github.com/lightfeed/extractor npm: npm install @lightfeed/extractor Apache 2.0 licensed.Happy to answer questions or hear feedback.

Enrichment

Theme
niche developer utilities and toolchains
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
llm extractor for websites in typescript
Manually corrected
False

Could you build this?

Yes This is a TypeScript library that fetches web pages, cleans HTML/DOM, and passes relevant sections to structured LLM outputs via JSON schema or instructor-style extraction.

Discussion

20 comments analyzed.

Competitors mentioned: Playwright (browser automation library), Cloudflare (anti-bot protection), Datadome (anti-bot protection), Claude Code (LLM tool calling), Gemini 2.5 flash (LLM pricing alternative)

Concerns raised: Anti-bot detection (Cloudflare, recaptcha v2, proof of work), JSON output reliability and false positives, Token limits for large-scale scraping (700 tokens per page unsustainable), Cost at scale (1M pages = ~$210 with Gemini), Ethical concerns about scraping without publisher consent

Feature requests: Extract interactive/rendered data after DOM interactions (collapse bars, etc.), Support for recaptcha and proof-of-work challenges, HTML input mode to avoid browser overhead, Improved JSON output validation and repair, Better handling of nullable/optional fields in nested arrays

Competitors

Other products that read as similar to this one — 214 launches clear the similarity bar, closest 8 shown.

Attention rank: #23 of 215 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 146 days after the earliest competitor.

Other launches for this product

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