Free URL to Markdown API — LLM-Ready Web Content

Convert any URL to clean markdown — built for LLM context windows, RAG pipelines, and AI training data. Multi-provider fallback chain delivers high success rates on JavaScript-heavy SPAs where single-source URL-to-markdown converters fail.

What you get

Per URL:

• markdown — clean markdown body (titles, paragraphs, links, code blocks preserved)
• provider — internal label of which extraction backend succeeded
• length — character count
• fetched_in_seconds — wall time
• error — set only when every backend in the fallback chain fails

Why use a URL to markdown API

Markdown is 70-90% smaller than equivalent HTML for the same content, which means dramatically lower token costs when you feed pages into an LLM. This URL to markdown converter is built for:

• RAG pipelines — clean text into your vector store, no HTML noise
• LLM context windows — fit 4-5× more pages in the same prompt budget
• AI training data — bulk URL-to-markdown for fine-tuning datasets
• Content migration / archival — extract the substance, drop the chrome

Why fallback chain beats single-provider markdown actors

Most URL-to-markdown actors call one extraction service. When that service is down, rate-limited, or fails on a particular page, the actor errors out and you pay for nothing. This Actor tries multiple managed extraction backends in sequence per URL — the first that returns a valid response wins. You get measurably higher success rates on the same input, especially for:

• JavaScript-heavy SPAs (React, Vue, Next.js apps)
• Cloudflare-protected pages
• Sites with aggressive bot detection
• Geo-restricted content

Input

Field	Default	Description
urls	required	Array of URLs to convert to markdown
concurrency	25	Concurrent fetches (1-100) — set lower if you hit rate limits

Output (sample)

{
  "url": "https://en.wikipedia.org/wiki/Apify",
  "provider": "provider_a",
  "markdown": "# Apify\n\nApify is a software platform...",
  "length": 6087,
  "fetched_in_seconds": 3.45
}

Use cases

• AI agents that browse the web — feed them clean markdown, not HTML
• RAG over arbitrary URLs — bulk-ingest documentation, blogs, news
• Competitive analysis pipelines — bulk-scrape competitor pages for LLM analysis
• News monitoring — convert article URLs to clean text for sentiment analysis
• Knowledge base building — turn a list of URLs into a clean markdown corpus

Related Actors — Free SEO Suite

This actor pairs with two other free tools for a complete SEO research workflow:

• Free Backlink Checker — domain authority + full backlink list for any website
• Free Keyword Research Tool for SEO — volume + CPC + difficulty + intent for any keyword

Use the keyword research tool to find what to write about, the backlink checker to score competitors' authority, and this actor to bulk-extract their content for analysis.