Extract structured LinkedIn profile data with Airtop & AI parsing

Extracting LinkedIn Profile Information Use Case Manually copying data from LinkedIn profiles is time-consuming and error-prone. This automation helps you extract structured, detailed information from any public LinkedIn profile—enabling fast enrichment, hiring research, or lead scoring. What This Automation Does This automation extracts profile details from a LinkedIn URL using the following input parameters: - airtopprofile: The name of your Airtop Profile connected to LinkedIn. - linkedinurl: The URL of the LinkedIn profile you want to extract data from. How It Works 1. Starts with a form trigger or via another workflow. 2. Assigns the LinkedIn URL and Airtop profile variables. 3. Opens the LinkedIn profile in a real browser session using Airtop. 4. Uses an AI prompt to extract structured information, including: - Name, headline, location - Current company and position - About section, experience, and education history - Skills, certifications, languages, connections, and recommendations 5. Returns structured JSON ready for further use or storage. Setup Requirements 1. Airtop API Key — free to generate. 2. An Airtop Profile connected to LinkedIn (requires one-time login). Next Steps - Sync with CRM: Push extracted data into HubSpot, Salesforce, or Airtable for lead enrichment. - Combine with Search Automation: Use with a LinkedIn search scraper to process profiles in bulk. - Adapt to Other Platforms: Customize the prompt to extract structured data from GitHub, Twitter, or company sites. Read more about the Extract Linkedin Profile Information automation.