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Geekflare adds AI-optimized scraping formats
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PH · PRODUCT_HUNT// 10h agoPRODUCT UPDATE

Geekflare adds AI-optimized scraping formats

ANNOUNCEMENTPRODUCTPRODUCT HUNT

Geekflare’s latest scraping update adds AI-focused output formats designed for RAG and agent workflows: `markdown-llm`, `text-llm`, and `html-llm`. The pitch is simple: strip boilerplate like navbars, footers, ads, and scripts so models receive cleaner context and you burn fewer tokens. Geekflare says the `text-llm` format can reduce token usage by up to 85% versus raw HTML, building on its existing HTML, JSON, and Markdown extraction support.

// ANALYSIS

Hot take: this is less about “new scraping” and more about packaging extraction around the economics of LLM consumption.

  • –The AI angle is practical: cleaner outputs should help RAG pipelines more than generic HTML/JSON dumps.
  • –The token-savings claim is meaningful if it holds across messy sites, because context trimming is a real cost lever.
  • –This is strongest for teams already using scraping as an ingestion layer for search, assistants, or summarization.
  • –The competitive bar is now output quality, not just coverage or anti-bot resilience.
// TAGS
web-scrapingragllmai-infrastructureapidata-extraction

DISCOVERED

10h ago

2026-04-17

PUBLISHED

15h ago

2026-04-17

RELEVANCE

8/ 10