Automated Data Collection and Analysis for Startups

This n8n workflow automates the process of collecting, monitoring, analyzing, and organizing data about startups from Bright Data and Crunchbase. It begins with a user-triggered form where a keyword is submitted to search for relevant companies. The workflow then posts a dataset discovery request to Bright Data’s API and periodically polls for the completion status of the snapshot. Once the data is ready, it fetches the detailed dataset, parses and cleans the JSON data, and sorts the companies based on their founding date. The workflow integrates an AI model to perform a comparative analysis of the companies based on the supplied keyword, highlighting key similarities, differences, and outliers. Finally, the summarized insights, along with detailed company data, are exported to a Google Sheets document for further review or reporting. This workflow is especially useful for market research, competitive analysis, or due diligence in startup ecosystems.