Brave Search AI Data Extraction with Bright Data & Google Gemini
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This n8n workflow automates dynamic Brave Search queries across images, videos, news, and all results. It leverages Bright Data's powerful MCP for reliable web scraping and Google Gemini for intelligent, structured data extraction, providing clean JSON output for various research and analysis needs.
About This Workflow
Unlock the power of Brave Search with this advanced n8n workflow, designed for comprehensive data gathering and intelligent extraction. This automation expertly navigates Brave's search engine for images, videos, news, or general web results, utilizing Bright Data's Managed Capture Platform (MCP) to ensure reliable and scalable web scraping. Post-capture, Google Gemini's sophisticated AI model takes over, transforming raw search engine results into highly structured and actionable JSON data. Whether you're tracking competitive insights, conducting SEO research, or fueling content creation, this workflow provides a robust, AI-powered solution for programmatic access to Brave Search data, complete with defined search_results and related_queries schemas.
Key Features
- Dynamic Brave Search: Execute queries across multiple Brave Search types including Images, Videos, News, and All Web results.
- Reliable Web Scraping: Utilizes Bright Data's MCP Client to bypass complexities and ensure consistent, high-fidelity data capture from Brave Search.
- AI-Powered Data Extraction: Leverages Google Gemini (models/gemini-2.0-flash-exp) for intelligent extraction of structured data from raw search responses.
- Structured JSON Output: Automatically parses extracted data into a predefined JSON schema, including
title,url,descriptionof results, andrelated_queries. - Modular and Flexible: Easily adaptable to different search criteria and extensible for further data processing or integration with other tools.
How To Use
- Set Your Search Criteria: Configure the workflow's input node (e.g., a 'Set' node named 'Set the search criteria's' or similar) to define your
search_queryand specify thesearch_type('images', 'videos', 'news', or 'all'). - Ensure Credentials: Verify that your Bright Data MCP Client and Google Gemini (PaLM) API credentials are correctly set up and linked to their respective nodes.
- Customize Output (Optional): If your data extraction needs differ, adjust the JSON schema in the
Structured Output Parsernode to fit your desired output format. - Run the Workflow: Execute the workflow to initiate the Brave Search, scrape results via Bright Data, and extract structured data using Google Gemini.
- Utilize Output: The workflow will output a clean, structured JSON object containing your search results and related queries, ready for downstream applications or analysis.
Apps Used
Workflow JSON
{
"id": "dec43599-a8d0-489a-9866-61755adaa794",
"name": "Brave Search AI Data Extraction with Bright Data & Google Gemini",
"nodes": 8,
"category": "Engineering",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: dec43599-a8d0...
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