Apify Actors MCP

Name: Apify Actors MCP Review
Item: Apify Actors MCP
Rating: 4.3
Author: Aaron Matthews

Connector Productivity Solid

Works inClaude Code Claude Cowork Claude Chat

Solid Reviewed

Apify provides ready-made web data extraction workflows that would otherwise require custom development.

Official Apify MCP server giving Claude access to 3,000+ pre-built web scraping and automation actors (news, e-commerce, social media, maps). Enables data extraction without writing custom scrapers. ~49K monthly npm downloads.

Collect competitor pricing data from public e-commerce websites
Gather customer reviews from multiple online platforms at once
Pull real estate listings matching your investment criteria

2,042 starsMIT (commercial OK)Usage BasedNo code needed

Why it matters

Apify provides ready-made web data extraction workflows that would otherwise require custom development. AI-assisted actor discovery and execution unlocks a vast library of data gathering capabilities for research and analytics.

Best for

Data analysts, researchers, and product teams needing web data extraction without building custom scrapers — and consultants who want to deliver data gathering capabilities quickly.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/apify/apify-mcp-server

By Apify

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.

Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.

Command

npx -y @apify/actors-mcp-server

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

Once it’s connected, paste this into Claude:

Help me collect competitor pricing data from public e-commerce websites

PrerequisitesApify account with API tokenTime to functional15 minutesCostUsage Based — Free tier with $5 credit; usage-based beyond

Trust Signals Reviewed

Stars2,042Contributors38Last updated2026-07-18LicenseMIT (OK for commercial use)Weekly downloads14,877Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-19 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.Connects toApify servers (official integration)

Community Pulse Active

Discussed on Reddit

Reddit MCP Server – Enables AI agents to search Reddit for posts, comments, and — Reddit · 3 pts
actors-mcp-server – Use 3,000+ pre-built cloud tools from Apify, known as Actors — Reddit · 2 pts
Deploy your MCP server as an Apify Actor — Reddit · 1 pts

3 mentions across 1 sources

Reviewer notes

Reviewed review. These are observations, not a security certification.

audit 2026-07-05 stale-eval refresh: Scored from trust signals (evidence-eval-v1): 1,647 GitHub stars; 25 contributors; last commit 0d ago; license MIT.

2026-04-02: LIMITATION: Bundles @sentry/node and @segment/analytics-node — every instance phones telemetry to Sentry and Segment. Requires disclosure to enterprise clients.

Things to check

Actors vary in reliability and maintenance status; some depend on fragile DOM selectors that break on site redesigns. Target sites may block or rate-limit scraping requests, requiring proxy rotation and handling within the actor itself. Apify recommends its hosted server at https://mcp.apify.com (OAuth) — the legacy /sse endpoint was removed, and local stdio via npx lacks newer features like output schema inference.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

4/5

Versatility

5/5

Reliability

5/5

Security

3/5

Overall score4.35 / 5.00 SolidEvaluatedJul 2026

audit 2026-07-05 stale-eval refresh: Scored from trust signals (evidence-eval-v1): 1,647 GitHub stars; 25 contributors; last commit 0d ago; license MIT.

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