Crunchbase Startup Analyzer: Keyword Search with Bright Data, Gemini AI & Sheets

This workflow streamlines market research by taking a keyword input (e.g., 'AI in healthcare') and querying Bright Data's Crunchbase dataset via API snapshots. It initiates a snapshot, polls for completion, fetches JSON data, then uses a Python code node to parse, clean, sort by founding date, and select the top 10 most recent startups. These are sent to Google Gemini AI for a unified comparative analysis, which is merged back into the data before appending to a Google Sheet.

Benefits include rapid identification of emerging competitors or partners, AI-powered insights on trends and comparisons, and automated reporting without manual data wrangling. It saves hours of scraping and analysis time, ensuring consistent, structured outputs for tracking.

Ideal use cases: Venture capitalists scouting investments, product managers benchmarking rivals, marketers spotting sector trends, or consultants building startup landscapes. Scalable for repeated queries with minimal setup.