This n8n workflow automates the extraction and analysis of LinkedIn profile data to generate a comprehensive ICP (Ideal Customer Profile) score and update a Google Sheet with the results. The process begins with a manual trigger, which allows the user to initiate the workflow at will. It then fetches detailed information from a LinkedIn profile URL, utilizing an API or service designed for profile scraping. The extracted data includes personal details, job information, location, social metrics, ‘About’ section content, and various interest and seniority levels.
The workflow evaluates insights such as AI interest level, technical depth, and seniority, assigning points based on predefined criteria to calculate an overall ICP score. After computation, the data—including LinkedIn URL and ICP score—is formatted and subsequently updates a specific row in a Google Sheets spreadsheet. This automation is highly useful for sales, recruiting, or marketing teams seeking to evaluate and organize leads or candidates based on LinkedIn profile insights, thereby streamlining their prospecting or talent sourcing process.
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