by mldsveda · MCP Server · ★ 106
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PyScrappy: Python web scraping toolkit + MCP server for AI agents PyScrappy is a Python toolkit for web scraping that works out of the box. Point it at any URL and get structured data back — or use built-in scrapers for Wikipedia, IMDB, Yahoo Finance, news feeds, and more. 📖 Documentation: pyscrappy.vercel.app Key features Generic scraper — give it any URL, get back structured text, links, images, tables, and metadata Auto-pagination — automatically follows "next page" links JS rendering — optional Playwright backend for JavaScript-heavy sites Custom selectors — pass CSS selectors to extract exactly what you need 20+ built-in scrapers — Wikipedia, IMDB, stocks, news, GitHub, Hacker News, book
| Stars | 106 |
| Forks | 60 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73.9004012797305/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-09 |
| Created | 2021-06-21 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~17k |
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PyScrappy is Python web scraping toolkit and MCP server that gives AI agents clean, structured web data from any URL or built-in scrapers.. It is categorized as a MCP Server with 106 GitHub stars.
PyScrappy is primarily written in Python. It covers topics such as ai, ai-agents, ecommerce-scrapper.
You can find installation instructions and usage details in the PyScrappy GitHub repository at github.com/mldsveda/PyScrappy. The project has 106 stars and 60 forks, indicating an active community.
PyScrappy is released under the MIT license, making it free to use and modify according to the license terms.
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