# How to connect Scrapegraph ai to Claude Cowork

```json
{
  "title": "How to connect Scrapegraph ai to Claude Cowork",
  "toolkit": "Scrapegraph ai",
  "toolkit_slug": "scrapegraph_ai",
  "framework": "Claude Cowork",
  "framework_slug": "claude-cowork",
  "url": "https://composio.dev/toolkits/scrapegraph_ai/framework/claude-cowork",
  "markdown_url": "https://composio.dev/toolkits/scrapegraph_ai/framework/claude-cowork.md",
  "updated_at": "2026-05-12T10:24:47.118Z"
}
```

## Introduction

Cowork is Anthropic's AI agent for knowledge work. Think of it as Claude Code for everything else. It works autonomously with your computer, local files, and applications to accomplish complex tasks.
This guide walks you through the easiest and most secure way to connect your Scrapegraph ai account to Cowork via Composio Connect, enabling it to extract product prices from Amazon search results, summarize latest news headlines from BBC homepage, convert Wikipedia article to markdown format, and more such actions on your behalf without compromising your account security.

## Also integrate Scrapegraph ai with

- [OpenAI Agents SDK](https://composio.dev/toolkits/scrapegraph_ai/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/scrapegraph_ai/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/scrapegraph_ai/framework/claude-code)
- [Codex](https://composio.dev/toolkits/scrapegraph_ai/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/scrapegraph_ai/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/scrapegraph_ai/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/scrapegraph_ai/framework/cli)
- [Google ADK](https://composio.dev/toolkits/scrapegraph_ai/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/scrapegraph_ai/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/scrapegraph_ai/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/scrapegraph_ai/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/scrapegraph_ai/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/scrapegraph_ai/framework/crew-ai)

## Connect Scrapegraph ai to Claude Cowork

### Connecting Scrapegraph ai to Claude Cowork
1. Open Customize
In Claude Desktop, click Customize in the left sidebar, then select Connectors and click the + icon at the top.
2. Add the Composio MCP server
Click Add custom connector and paste in the Composio MCP server URL:

```bash
https://connect.composio.dev/mcp
```

## What is Claude Cowork?

Claude Cowork is Anthropic's agent for general knowledge work. It can use your computer, files, and connected applications to complete longer-running tasks across your work tools.
With Composio Connect, Cowork can securely access apps like Scrapegraph ai through MCP without you sharing account credentials directly with the agent.

## What is the Scrapegraph ai MCP server, and what's possible with it?

The Scrapegraph ai MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Scrapegraph ai account. It provides structured and secure access to powerful web scraping and data extraction tools, so your agent can perform actions like running AI-powered scrapers, converting webpages to markdown, monitoring job statuses, and managing your account usage with ease.
- AI-powered web scraping and search: Instruct your agent to extract structured data from any website or perform detailed web searches with parsed, organized results.
- Webpage to markdown conversion: Let your agent instantly convert any webpage into clean, readable markdown for easy documentation or analysis.
- Automated job status tracking: Check on the progress and results of ongoing scraping, crawling, or conversion jobs to stay updated without manual effort.
- Smart multi-page crawling: Direct the agent to launch intelligent crawlers that gather data across multiple linked pages in a single workflow.
- Account usage monitoring and feedback: Retrieve your remaining credits, track API usage, and submit feedback on completed tasks—all through your AI agent.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SCRAPEGRAPH_AI_CONVERT_WEBPAGE_TO_MARKDOWN_V2` | Convert Webpage to Markdown (V2) | Tool to convert any webpage into clean, well-formatted Markdown with full parameter control. Use when you need advanced options like stealth mode, custom headers, or webhook notifications. Supports all Markdownify API parameters. |
| `SCRAPEGRAPH_AI_GENERATE_SCHEMA` | Generate Schema | Generate or modify a JSON schema based on a search query for structured data extraction. Use when you need a schema template for scraping specific data fields. |
| `SCRAPEGRAPH_AI_GET_AGENTIC_SCRAPER_HISTORY` | Get Agentic Scraper History | Retrieve paginated history of agentic scraper jobs. Use to view past scraping requests, their status, and results. |
| `SCRAPEGRAPH_AI_GET_CRAWLER_HISTORY` | Get Crawler History | Retrieve the history of crawler jobs for your account. Returns paginated list of past crawler requests with their status, results, and metadata. |
| `SCRAPEGRAPH_AI_GET_CREDITS` | Get Credits | Retrieve remaining and used credits for your ScrapeGraphAI account. Useful for checking credit availability before bulk scraping operations to avoid mid-run failures. |
| `SCRAPEGRAPH_AI_GET_ENDPOINT_SUGGESTIONS` | Get Endpoint Suggestions | Tool to get AI-powered suggestions for creating scraping endpoints. Use when you need to identify what data can be extracted from a website and how to structure the scraping logic. |
| `SCRAPEGRAPH_AI_GET_LIVE_SESSION_URL` | Get Live Session URL | Tool to get a URL for a live browser session. Use when you need to interact with a webpage in real-time through a controlled browser environment. |
| `SCRAPEGRAPH_AI_GET_MARKDOWNIFY_HISTORY` | Get Markdownify History | Tool to retrieve the history of markdownify webpage-to-Markdown conversion jobs. Use when you need to view past markdownify requests and their statuses. |
| `SCRAPEGRAPH_AI_GET_SCRAPE_HISTORY` | Get Scrape History | Retrieve the history of scrape jobs from your ScrapeGraphAI account. Use this to check the status of past scrapes, view results, and track credit usage. |
| `SCRAPEGRAPH_AI_GET_SEARCHSCRAPER_HISTORY` | Get Searchscraper History | Get the history of searchscraper jobs with pagination support. Use this to retrieve past searchscraper requests, their status, and results. |
| `SCRAPEGRAPH_AI_GET_SITEMAP_HISTORY` | Get Sitemap History | Tool to retrieve the history of sitemap extraction jobs. Use when you need to view past sitemap extraction requests, their status, and results. |
| `SCRAPEGRAPH_AI_GET_SMARTSCRAPER_HISTORY` | Get Smartscraper History | Tool to retrieve the history of smartscraper jobs. Use when you need to view past scraping requests and their results. |
| `SCRAPEGRAPH_AI_GET_USAGE_TIMELINE` | Get Usage Timeline | Tool to retrieve usage timeline statistics for your ScrapeGraphAI account. Use when you need to visualize or analyze service usage patterns over time. |
| `SCRAPEGRAPH_AI_GET_WEBHOOK_LOGS` | Get Webhook Logs | Tool to retrieve webhook delivery logs for a crawler job. Use when you need to check the status and history of webhook notifications sent for a specific crawler execution. |
| `SCRAPEGRAPH_AI_LIST_SCHEDULED_JOBS` | List Scheduled Jobs | Retrieve a paginated list of all scheduled scraping jobs for your account. Use this action to view and manage your scheduled jobs, including their configuration, cron schedules, and active status. Supports filtering by service type and active status. |
| `SCRAPEGRAPH_AI_MARKDOWNIFY_STATUS` | Markdownify Status | Check the status and retrieve results of a Markdownify webpage-to-Markdown conversion job. Use this action to poll for the status of an async Markdownify request started via SCRAPEGRAPH_AI_MARKDOWNIFY. Note: The ScrapeGraph AI API typically returns completed results synchronously, so this status endpoint is primarily useful for long-running conversions of large or complex webpages. |
| `SCRAPEGRAPH_AI_SAVE_ENDPOINT` | Save Endpoint Configuration | Tool to save custom scraping endpoint configurations to ScrapeGraphAI. Use when you need to create reusable scraping endpoints with specific parameters and extraction logic. |
| `SCRAPEGRAPH_AI_SEARCH_SCRAPER` | Search Scraper | Perform AI-powered web searches with structured, parsed results. Some sites block scrapers and return empty bodies; treat these as unrecoverable for that URL. JS-rendered pages may yield incomplete content. |
| `SCRAPEGRAPH_AI_SEARCH_SCRAPER_STATUS` | Check SearchScraper Status | Check the status and results of an asynchronous SearchScraper job. |
| `SCRAPEGRAPH_AI_SMART_CRAWLER_STATUS` | SmartCrawler Status | Check the status and retrieve results of a SmartCrawler web crawling job. Use this action to poll for completion and get the extracted content from a previously started SmartCrawler job. Returns the job status, crawled URLs, page content in markdown/HTML format, and LLM extraction results (if enabled). Implement a polling timeout (e.g., max retries or elapsed time cap) to avoid indefinite loops when waiting for long-running jobs. |
| `SCRAPEGRAPH_AI_SMART_SCRAPER_START` | Start Smart Scraper | Start AI-powered web scraping with natural language extraction prompts. When `wait` is false (default), returns a `request_id`; poll for results using SCRAPEGRAPH_AI_SMART_SCRAPER_STATUS. Check `error` and `job_status` fields in the response before using extracted data. |
| `SCRAPEGRAPH_AI_SMART_SCRAPER_STATUS` | SmartScraper Status | Check the status and retrieve results of a SmartScraper web scraping job. Use this action to poll for completion after starting a SmartScraper job with wait=false. The request_id is returned by the Start SmartScraper action. Typical workflow: 1. Start a scraping job with SCRAPEGRAPH_AI_SMART_SCRAPER_START (wait=false) 2. Use the returned request_id to check status with this action 3. Poll until status is 'completed' or 'failed' 4. When completed, the 'result' field contains the extracted data. When completed, also check the 'error' field before consuming 'result', as 'failed' status populates 'error' instead of 'result'. |
| `SCRAPEGRAPH_AI_START_SMART_CRAWLER` | Start Smart Crawler (Async) | Tool to start a multi-page web crawl using SmartCrawler for AI-powered data extraction. Use when you need to extract structured data from multiple pages of a website. Returns immediately with a task_id - use the status check action to monitor progress and retrieve results. |
| `SCRAPEGRAPH_AI_SUBMIT_FEEDBACK` | Submit Feedback | Submit feedback and ratings for completed ScrapeGraphAI requests. |
| `SCRAPEGRAPH_AI_SUBMIT_PRODUCT_FEEDBACK` | Submit Product Feedback | Submit product feedback for ScrapeGraphAI. Use to provide ratings, comments, suggestions, and other feedback about the product itself. |
| `SCRAPEGRAPH_AI_TOONIFY` | Convert JSON to TOON Format | Tool to convert JSON data to TOON (Token-Oriented Object Notation) format. Use when you need to reduce token usage for LLM processing while maintaining data structure. |
| `SCRAPEGRAPH_AI_VALIDATE_API_KEY` | Validate API Key | Validate your ScrapeGraphAI API key to ensure it is active and authorized. Use this action to check API key validity before making other API calls. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Scrapegraph ai MCP server connects Claude Cowork to your Scrapegraph ai account through Composio. Once connected, Cowork can use the available Scrapegraph ai tools and triggers to complete tasks on your behalf.

## Complete Code

None listed.

## How to build Scrapegraph ai MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/scrapegraph_ai/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/scrapegraph_ai/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/scrapegraph_ai/framework/claude-code)
- [Codex](https://composio.dev/toolkits/scrapegraph_ai/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/scrapegraph_ai/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/scrapegraph_ai/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/scrapegraph_ai/framework/cli)
- [Google ADK](https://composio.dev/toolkits/scrapegraph_ai/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/scrapegraph_ai/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/scrapegraph_ai/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/scrapegraph_ai/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/scrapegraph_ai/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/scrapegraph_ai/framework/crew-ai)

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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Scrapegraph ai MCP?

With a standalone Scrapegraph ai MCP server, the agents and LLMs can only access a fixed set of Scrapegraph ai tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Scrapegraph ai and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Claude Cowork?

Yes, you can. Claude Cowork fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Scrapegraph ai tools.

### Can I manage the permissions and scopes for Scrapegraph ai while using Tool Router?

Yes, absolutely. You can configure which Scrapegraph ai scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Scrapegraph ai data and credentials are handled as safely as possible.

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