Scrapingdog is a Model Context Protocol (MCP) server: Scrapingdog web-scraping & SERP APIs: web scrape, Google, Amazon, LinkedIn, YouTube, and more. As an MCP server it plugs straight into AI assistants, exposing its functionality as tools the model can invoke on your behalf.
It runs locally: the npm package scrapingdog-mcp speaks MCP over stdio on your machine. Configuration happens through environment variables — you'll need SCRAPINGDOG_API_KEY. The current release is v0.1.1, published under the MIT license, with source at Darshan972/Scrapingdog-mcp on GitHub.
You'll find Scrapingdog in the Web Scraping category here on mcp.site; it connects to Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed, and any other MCP client — see the install snippets below. If you maintain Scrapingdog for Darshan972, claim this listing to verify ownership, earn the Verified badge, and keep the details current.
▸npm package — scrapingdog-mcp · MCP over stdio
▸Credentials — Requires SCRAPINGDOG_API_KEY
▸Open source — MIT license · Darshan972/Scrapingdog-mcp