# ScrapeGraphAI

> Use this tool when you need to extract and organize data from websites, solving problems of data collection and integration for tasks like market research, competitor analysis, and data-driven decision making. ScrapeGraphAI takes in website URLs and query parameters as input, and outputs structured data in various formats. It is particularly useful in contexts where manual data extraction is time-consuming or impractical, such as large-scale data gathering and monitoring projects.

Canonical page: https://skillsregistry.net/skills/marco-scrapegraph  
JSON: https://api.skillsregistry.net/v1/skills/marco-scrapegraph

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** browser-automation
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/marco/scrapegraph)

## 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": "marco-scrapegraph"
    }
  }
}
```

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