# Scrapezy

> Use this tool when you need to extract structured data from websites, such as for data collection, content aggregation, or automated web research, and leverage the Scrapezy API to perform flexible web scraping tasks based on user-specified prompts. It takes in user-defined prompts as input and outputs extracted structured data, enabling AI models to gather information from diverse web sources. Ideal for applications requiring automated data extraction from the web.

Canonical page: https://skillsregistry.net/skills/scrapezy  
JSON: https://api.skillsregistry.net/v1/skills/scrapezy

## Description

This MCP server implementation enables AI models to extract structured data from websites using the Scrapezy API. It provides a tool for extracting data based on user-specified prompts, allowing for flexible web scraping tasks. The server is designed for use cases such as data collection, content aggregation, and automated web research, making it valuable for applications that require structured information from diverse web sources.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/scrapezy)
- **Repository:** <https://github.com/scrapezy/mcp>

## 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": "scrapezy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/scrapezy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/scrapezy/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