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:

• airtop_profile: The name of your Airtop Profile connected to LinkedIn.
• linkedin_url: 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.