apify-mcp-server
Eliminates custom scraping code by integrating 1000+ pre-built extractors into Claude workflows.
The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of ready-made scrapers, crawlers, and automation tools available on the Apify Store.
- Monitor competitor pricing across e-commerce sites daily
- Extract job listings and company data for recruitment
- Gather real estate listings with images and details
Eliminates custom scraping code by integrating 1000+ pre-built extractors into Claude workflows. Reduces time-to-data from weeks to minutes for competitive intelligence, lead generation, and market research.
Data analysts, business intelligence teams, and researchers who need structured data from web sources without maintaining custom crawlers.
https://github.com/apify/apify-mcp-server
By apify
How to Get It
claude mcp add apify --env APIFY_TOKEN=<your-apify-token> -- npx -y @apify/actors-mcp-server
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Once it’s connected, paste this into Claude:
Help me monitor competitor pricing across e-commerce sites daily
Trust Signals Auto-scanned
Data & Access
Community Pulse Active
Discussed on Reddit
- Apify MCP Server + Claude Skills are "magic" — Reddit · 4 pts
- I built the first serverless Confluence MCP Server on Apify (Connect LLMs direct — Reddit · 4 pts
- I built an open-source Jira MCP Server for Apify, Manage your sprints and ticke — Reddit · 3 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 3,926 GitHub stars; 41 contributors; last commit 2d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 3,926 GitHub stars; 41 contributors; last commit 2d ago; license MIT.