# scrapegraphai

> scrapegraphai — scrapegraphai-inc-sgai. Use this tool when you need to integrate Large Language Models (LLMs) with web scraping capabilities, enabling AI assistants to perform research and crawling through natural language interactions. It solves problems related to automated data extraction and research, providing a seamless interface between LLMs and the ScrapeGraph AI API. This tool is ideal for use cases where natural language inputs are used to fetch specific web data, with outputs in a structured format for further analysis.

Canonical page: https://skillsregistry.net/skills/scrapegraphai-inc-sgai  
JSON: https://api.skillsregistry.net/v1/skills/scrapegraphai-inc-sgai

## Description

The ScrapeGraphAI MCP Server is a production-ready Model Context Protocol (MCP) server that connects Large Language Models (LLMs) to the ScrapeGraph AI API. It enables AI assistants like Claude and Cursor to perform AI-powered web scraping, research, and crawling directly through natural language interactions.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/scrapegraphai-inc/sgai)

## 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": "scrapegraphai-inc-sgai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/scrapegraphai-inc-sgai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/scrapegraphai-inc-sgai/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