Pricing

Pay per usage

LLM-Ready Web Extractor

Turn any web page into clean, LLM-ready Markdown. Strips scripts, nav, and page chrome, then converts the main content to tidy Markdown with title, meta description, and token counts. Perfect for AI prompts and RAG ingestion pipelines.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

NATNAEL FIKRE

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

What it does

Fetches one or more URLs (optionally crawling same-domain subpages)
Strips scripts, styles, navigation, headers, footers, and other page chrome
Picks the semantic content container (<main> or <article>) when available
Converts the content to tidy Markdown (ATX headings, fenced code blocks)
Outputs one dataset item per page with the Markdown, title, meta description, character count, and an approximate token count

Why

Raw HTML wastes tokens and confuses models. This Actor gives you compact, structured text - typically 5-10x smaller than the original HTML - so your prompts stay cheap and your retrieval stays clean.

Input

Field	Type	Description
`startUrls`	array	Pages to extract
`crawlSubpages`	boolean	Follow same-domain links (default: false)
`maxPages`	integer	Max pages to process (default: 10)

Output

Each dataset item contains: url, title, description, markdown, characterCount, approxTokens, and extractedAt.

Typical uses

Feeding documentation or articles to Claude / other LLMs without HTML noise
Building RAG corpora from websites
Scheduled content monitoring in LLM-friendly format

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