# mcp-apify

> mcp-apify — pipeworx-io-mcp-apify. Use this tool when you need to run web-scraping tasks and retrieve dataset results from Apify Actors, providing input parameters and receiving output data in a structured format, ideal for automating data extraction workflows and integrating with version control systems like Git. It solves problems related to web data extraction, processing, and storage, offering a scalable and efficient solution for data-driven applications. By leveraging Apify MCP, users can streamline their web scraping operations and fetch results in a reliable and organized manner.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-apify  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-apify

## Description

Apify MCP — run web-scraping Actors and fetch their dataset results.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-apify)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pipeworx-io-mcp-apify"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-apify` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-apify/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt