This n8n workflow is designed to automate the process of conducting structured searches across multiple categories using Brave Search, extracting relevant data, and storing it for further analysis or processing. It integrates Bright Data MCP for web scraping and Google Gemini for semantic analysis, providing a comprehensive solution for data collection and structured output handling.
The workflow begins with a manual trigger, allowing users to initiate searches for images, videos, news, or all data types by setting specific search parameters. It then dynamically configures the search URLs tailored to the selected search type. Bright Data MCP nodes scrape search results from Brave Search, which are subsequently processed based on the search category.
For image, video, news, and general searches, conditional switches direct the flow to the appropriate data scraping nodes. The search responses are parsed, summarized, and optionally sent via webhook for real-time notification. The extracted structured data is then transformed into JSON format, saved locally as a JSON file, and appended to a Google Sheet for record-keeping.
This workflow is particularly useful for market research, competitive analysis, or monitoring specific topics across different media types. It leverages AI to understand and structure search data, making it easier to analyze large datasets systematically.
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