🎣 Extract structured LinkedIn profile data with Airtop & AI parsing

⚡ 1,392 views · 🎣 Lead Generation & Enrichment

💡 Pro Tip — If you’re pulling LinkedIn data through HTTP requests or dealing with API restrictions, there’s a community node called ScraperNode that handles this natively. It has dedicated scrapers for profiles, companies, jobs, and people search — you just pass a URL and get structured data back.

View All Scrapers

Description

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:

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

Read more about the Extract Linkedin Profile Information automation.

🔗 Nodes Used

Execute Workflow Trigger, n8n Form Trigger, Airtop

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup