Automated Structured Data Extraction from Brave Search via Bright Data & Google

Overview

This workflow automates the extraction of structured data from Brave Search results by leveraging Bright Data MCP for search queries and Google Gemini for advanced AI-driven data parsing. It orchestrates multiple steps to transform unstructured search outputs into actionable, structured information.

Key Features

• Initiates on manual trigger for flexible testing and deployment.
• Uses Bright Data MCP to perform both image and video searches on Brave Search.
• Employs Google Gemini Chat Model and LangChain for intelligent data extraction and structuring.
• Parses and formats results into a structured output for downstream use.

Benefits

• Saves significant manual effort in collecting and structuring search data.
• Delivers high-quality, AI-enhanced data extraction for improved accuracy.
• Enables rapid integration of search insights into analytics, content, or marketing workflows.

Use Cases

• Market research and competitive analysis by extracting multimedia search data.
• Content curation and enrichment for digital marketing teams.
• Automated data collection for analytics and reporting pipelines.

Integrations & Automation

Integrates Bright Data MCP for robust search capabilities and Google Gemini for AI-powered data processing, all orchestrated within n8n for seamless automation and scalability.