by mdowis · MCP Server · ★ 78
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The spider that learns. Every web scraper starts working. The question is how long before it breaks. Anansi is built on a different assumption: the web is adversarial and unstable, and your scraper should handle that without your involvement. When a site changes its layout, Anansi finds the data anyway and remembers the fix: CSS selectors are scored by confidence and healed automatically. When a page needs a browser to render, it switches to one silently. When bot detection gets in the way, it mimics Chrome's TLS fingerprint at the network level, the layer most scrapers never think about. When you re-crawl, unchanged pages are skipped before a request is even made. When extraction goes wrong, Pydantic validation catches it immediately instead of letting garbage accumulate in your database. The result: a crawler that handles hostile sites, survives redesigns, and gets better the longer it runs. Ships with an MCP server so any LLM can drive a full crawl through a conversation. Capabilities JSON-LD, Open Graph, and Microdata are extracted from every pag
| Stars | 78 |
| Forks | 16 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 55.308/100 |
| Last Updated | 2026-05-18 |
| Created | 2026-05-14 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~20k |
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anansi is A self-healing web scraper built for hostile sites: selectors repair themselves, browser rendering kicks in when needed, and Chrome TLS fingerprinting evades bot detection. Ships with an MCP server so. It is categorized as a MCP Server with 78 GitHub stars.
anansi is primarily written in Python. It covers topics such as adaptive-scraping, ai-agent, anti-bot.
You can find installation instructions and usage details in the anansi GitHub repository at github.com/mdowis/anansi. The project has 78 stars and 16 forks, indicating an active community.
anansi is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to anansi on Agent Skills Hub include crw, web-scout-mcp, camofox-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.