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
- Starts with a form trigger or via another workflow.
- Assigns the LinkedIn URL and Airtop profile variables.
- Opens the LinkedIn profile in a real browser session using Airtop.
- 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
- Returns structured JSON ready for further use or storage.
Setup Requirements
- Airtop API Key — free to generate.
- 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.