Extract Structured LinkedIn Profile Data with Airtop & AI

This n8n workflow revolutionizes LinkedIn profile research by automating the extraction of comprehensive, structured data from any public profile URL. Using Airtop for realistic browser sessions and AI-powered parsing, it captures key details like name, headline, location, current role, about section, experience, education, skills, certifications, languages, connections, and recommendations—all output as clean JSON.

The workflow starts with a flexible trigger (manual form or API call), requiring only your Airtop profile name and LinkedIn URL. It launches a stealth browser session via Airtop to load the profile accurately, bypassing common scraping limitations. An intelligent AI prompt then analyzes the page content, ensuring high-fidelity extraction even from dynamic elements. This eliminates manual copy-pasting, saving hours per profile and reducing errors.

Benefits include scalable lead scoring, hiring intelligence, and CRM enrichment. Integrate outputs directly into HubSpot, Salesforce, or Airtable. Combine with LinkedIn search tools for bulk processing. Adaptable for other platforms like GitHub or Twitter by tweaking the AI prompt. Setup is straightforward with a free Airtop API key and one-time LinkedIn-linked browser profile.