web-scraper-mcp
The web-scraper-mcp server delivers web scraping functionality through the Model Context Protocol (MCP), enabling extraction of HTML, text, or structured data from URLs via API calls. Developers and data analysts use it to collect public web data for research, monitoring, or pipelines without managing browsers or proxies.
Overview
The web-scraper-mcp server integrates web scraping tools into the Model Context Protocol (MCP), allowing AI models and applications to programmatically fetch and parse web content from specified URLs. It handles requests for raw HTML, cleaned text, or targeted data extraction, bypassing the need for custom scraping scripts.
Key Capabilities
- Web content fetching: Retrieves full HTML from any public URL.
- Text extraction: Strips HTML tags to return readable text content.
- Structured data parsing: Extracts specific elements like titles, links, or tables based on selectors.
These capabilities operate via MCP tool calls, returning JSON-formatted results for easy integration.
Use Cases
- Data analysts scrape e-commerce sites to track price changes over time using content fetching.
- Researchers extract article text from news sites for sentiment analysis pipelines.
- Developers automate lead generation by parsing contact info from business directories with structured parsing.
- Monitoring tools poll websites for updates, like stock quotes or event listings, via repeated fetches.
Who This Is For
Data engineers building ETL pipelines, researchers aggregating public datasets, developers integrating web data into apps, and analysts needing real-time web monitoring.