Automated Crunchbase Startup Analysis with Bright Data, Gemini AI & Google Sheet

Overview

This workflow streamlines the process of analyzing Crunchbase startups by keyword, leveraging Bright Data for data extraction, Google Gemini AI for advanced analysis, and Google Sheets for data management.

Key Features

• Automated Data Collection: Initiates with a user form, triggering API calls to Bright Data to fetch relevant startup data from Crunchbase based on specified keywords.
• Polling & Status Checks: Uses wait and conditional logic to ensure data readiness before proceeding.
• Data Parsing & Cleaning: Employs custom code to parse and sanitize JSON data for accurate analysis.
• AI-Powered Insights: Integrates Google Gemini AI for both chat-based and comparative analysis of startup data.
• Seamless Data Management: Outputs results to Google Sheets for easy access and further processing.

Benefits

• Time Savings: Eliminates manual data collection and analysis, accelerating research workflows.
• Enhanced Insights: AI-driven analysis provides deeper, actionable insights into startup trends.
• Error Reduction: Automated parsing and validation minimize human error.

Use Cases

• Market research teams evaluating startup ecosystems.
• Investors seeking data-driven insights on emerging companies.
• Business analysts tracking industry trends and competitor landscapes.

Integrations & Automation

Key integrations include Bright Data (API), Google Gemini AI, and Google Sheets, orchestrated via n8n for robust, end-to-end automation.