Extract Structured LinkedIn Profile Data with Airtop & AI Parsing

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:
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.