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Web Scrapper is a tool designed to automate the extraction of data from websites, making it possible to gather large amounts of information efficiently. It's primarily used for data mining, competitive analysis, and research purposes.
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Domain knowledge for Web Scraper — workflow patterns, data models, and gotchas for your AI agent.
Web Scraper runs scraping jobs from Sitemaps (scraping configs). Jobs produce data; Data Quality checks result quality. Users manage the account.
Fetch Sitemap Detail
Fetch detailed information about a specific sitemap using its unique 'sitemap_id'. This is crucial for examining or troubleshooting individual sitemaps. It returns sitemap configuration, structure, and URLs being scraped. Provide the 'sitemap_id' parameter to target the specific sitemap.
List Scraping Job Data Quality
Assess the quality of data collected in a specific scraping job by providing the job's unique ID. Use this endpoint when you need to ensure that the data integrity meets your standards. It returns a quality report including accuracy and completeness metrics. The 'scraping_job' parameter is required.
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Browse all toolsList Scraping Jobs
Retrieve a full list of all scraping jobs associated with your account to monitor and manage ongoing or scheduled data extraction tasks. It returns job details including status, scheduled times, and job IDs. No additional parameters are required for this collection.
List Sitemap List
Retrieve a list of all current sitemaps stored within your Web Scrapper account. This is useful when you need to manage or update your sitemaps frequently. It returns a detailed list including sitemap IDs and names, providing an overview of existing sitemaps. No specific parameters are required.
List Users
List all users associated with your Web Scrapper account to streamline user management or monitor account access. This endpoint returns details such as user IDs and email addresses. There are no additional parameters needed to access this information.
Web Scrapper is a tool designed to automate the extraction of data from websites, making it possible to gather large amounts of information efficiently. It's primarily used for data mining, competitive analysis, and research purposes. It provides 5 tools that AI agents can use through the Model Context Protocol (MCP).
Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/web-scrapper. Authentication is handled automatically.
Web Scraper provides 5 tools that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.
Web Scraper uses API Key. Web Scraper requires credentials. Connect via MCPBundles and authentication is handled automatically.
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MCPBundles is an independent platform built on the open Model Context Protocol standard. Not affiliated with Anthropic PBC or Claude.
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