Extract clean markdown, links, and metadata from any URL via web scraping. Built for developers who need to programmatically fetch and parse web content in their AI workflows.
io.github.ofershap/scraper
Local install
STDIO
No auth required
How models use it and what it is built for.
Extract clean markdown, links, and metadata from any URL via web scraping. Built for developers who need to programmatically fetch and parse web content in their AI workflows.
Local install — runs as a subprocess.
Where to find authoritative docs and source for Ofershap Scraper.
Paste any of these into Agent Studio after connecting Ofershap Scraper.
Common questions about connecting and running Ofershap Scraper.
What output formats does this scraper support?
The server extracts content as clean markdown, links, and metadata. This makes it easy to feed web content into LLMs or store it in structured formats.
How do I install and run the scraper MCP server?
Install via npm with `npx mcp-server-scraper@1.0.1`. The server runs over stdio transport, so it integrates directly with MCP-compatible clients like Claude Desktop or custom applications.
Can I scrape any URL, or are there restrictions?
The registry metadata doesn't specify rate limits or blocked domains. Test with your target URLs; respect robots.txt and the site's terms of service.
Does this server handle JavaScript-rendered content?
The registry description doesn't mention JavaScript rendering. It likely fetches static HTML; for dynamic content, you may need a headless browser tool instead.
What's the difference between this and using curl or fetch directly?
This MCP server integrates scraping into your AI chat workflow, automatically converting HTML to clean markdown and extracting metadata—saving you parsing boilerplate in your prompts.
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