Scrape Websites with a Bright Data MCP Gemini Agent

# Scrape Web Data with Bright Data, Google Gemini and MCP Automated AI Agent ## Overview Automated workflow: Scrape Web Data with Bright Data, Google Gemini and MCP Automated AI Agent. This workflow integrates 12 different services: stickyNote, httpRequest, lmChatGoogleGemini, agent, mcpClientTool. It contains 25 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 25 - Node Types: 12 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - AI Agent: agent - When clicking ‘Test workflow’: manualTrigger - MCP Client list all tools for Bright Data: mcpClient - Sticky Note1: stickyNote - MCP Client List all tools: mcpClientTool - MCP Client Bright Data Web Scraper: mcpClient - Webhook for web scraper: httpRequest - Set the URLs: set - MCP Client to Scrape as Markdown: mcpClientTool - MCP Client to Scrape as HTML: mcpClientTool - ... and 15 more nodes ## Usage Instructions 1. Configure Credentials: Set up all required API keys and credentials 2. Update Variables: Replace any placeholder values with actual data 3. Test Workflow: Run in test mode to verify functionality 4. Deploy: Activate the workflow for production use ## Security Notes - All sensitive data has been removed or replaced with placeholders - Error handling is implemented for reliability - Follow security best practices when configuring credentials ## Troubleshooting - Check error logs if workflow fails - Verify all credentials are properly configured - Ensure all required services are accessible