Automated Web Data Scraping and Processing with n8n

This workflow automates the process of web data scraping using Bright Data’s MCP tools, integrated with AI for intelligent task management. It allows users to trigger web scraping tasks, process the results into Markdown or HTML, and send the data to specified webhooks or save it locally. The system employs Google Gemini for natural language understanding and Bright Data’s MCP suite for advanced web scraping. This workflow is ideal for scenarios requiring automated data collection from websites, such as market research, competitive analysis, or content aggregation.

The process begins with manual or triggered initiation, where the workflow sets URLs and configures scraping parameters. It then interacts with Bright Data MCP tools to fetch webpage content in desired formats. The AI agent, powered by Google Gemini, interprets user queries to determine the most suitable scraping approach. After data extraction, the results are sent via webhook and saved to disk, with notes and memory buffers maintaining context throughout. The setup is suitable for continuous web monitoring or data collection tasks that benefit from AI-driven decision-making and automation.