Automated LinkedIn Data Extraction & Personalization Workflow

This n8n workflow automates the process of scraping LinkedIn profiles, extracting structured data, and generating personalized messages using GPT-4. Designed for recruiters, marketers, or sales teams, it streamlines outreach by quickly gathering LinkedIn profile information, creating tailored messages, and updating spreadsheets with the final results.

The process begins with a schedule trigger or manual webhook to initiate the workflow. It retrieves URLs from a Google Sheet, stores temporary URLs for processing, and then posts these URLs to PhantomBuster for data scraping. After obtaining the LinkedIn data via PhantomBuster’s API, the workflow extracts the profile URLs from the API response using GPT-4.

Next, it fetches LinkedIn profile data for each URL through an HTTP request. The extracted data is then fed into GPT-4 to generate personalized outreach messages based on a specified template. These messages are subsequently saved back into the Google Sheet for outreach campaigns. The workflow concludes by cleaning up temporary URL storage, ensuring data integrity and readiness for the next run.

This automation is ideal for managing large-scale lead generation, personalized outreach campaigns, or social media data harvesting, reducing manual effort and increasing efficiency.