URL to Markdown Converter
Free URL to markdown converter. Paste any webpage URL to scrape its content and convert it to clean GitHub Flavored Markdown, ready to copy or download.
Markdown for AI agents
AI agents need web content in a format they can reason over, not raw HTML with navigation, ads, and scripts. Markdown strips the noise and preserves structure: headings, lists, links, and code blocks. That makes it ideal for RAG pipelines, retrieval-augmented generation, and agent workflows that need to answer questions from live web data.
The Context.dev Scrape API (Markdown) scrapes any URL and returns clean GitHub Flavored Markdown. Pair it with the Map URLs API to discover which pages to fetch: first get the URL list for a domain, filter for relevant paths (e.g. /pricing, /docs), then scrape each URL to Markdown. Your agent gets structured, token-efficient text instead of bloated HTML, ready for embedding, summarization, or direct context injection.
What is Markdown?
Markdown is a lightweight markup language that uses plain-text syntax to format documents. You write # Heading for headings, **bold** for bold text, - item for lists, and so on. It's readable as-is and converts cleanly to HTML, PDF, or other formats. GitHub Flavored Markdown (GFM) extends the standard with tables, task lists, strikethrough, and better code blocks, the format this tool produces.
Why convert web pages to Markdown?
Web pages are built for browsers, not for reading or processing. Converting to Markdown removes navigation, footers, cookie banners, and scripts, leaving just the main content. That's useful for archiving articles, building knowledge bases, migrating content between platforms, or feeding clean text into AI models. Markdown is also portable: it works in docs, wikis, static site generators, and version control. If you only need the words, the website to text converter returns plain text instead.
Common use cases
- Scraping documentation, blog posts, or product pages for AI context
- Creating offline archives of important web content
- Importing web content into Notion, Obsidian, or other note-taking apps
- Building RAG datasets from public websites
- Converting HTML exports to a cleaner, editable format
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