Skip to main content

Extract structured LinkedIn profile data with Airtop & AI parsing

Workflow preview

Workflow preview
100%
Extract structured LinkedIn profile data with Airtop & AI parsing preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 f...

Best for

  • Lead Generation automation workflows
  • AI Summarization automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.airtop, n8n-nodes-base.formtrigger, n8n-nodes-base.set, n8n-nodes-base.executeworkflowtrigger, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Airtop.

Original n8n.io source

1.1 Workflow description

Title
Extract structured LinkedIn profile data with Airtop & AI parsing
Workflow name
Extract structured LinkedIn profile data with Airtop & AI parsing

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.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Airtop

Type / Role
n8n-nodes-base.airtop - airtop
Config choices
Version 1

Block 2 - On form submission

Type / Role
n8n-nodes-base.formTrigger - formTrigger
Config choices
Version 2.2

Block 3 - Edit Fields

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 4 - When Executed by Another Workflow

Type / Role
n8n-nodes-base.executeWorkflowTrigger - executeWorkflowTrigger
Config choices
Version 1.1

Block 5 - Parameters

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 6 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Extract structured LinkedIn profile data with Airtop & AI parsing
Complexity intermediate
Nodes 6
Categories Lead Generation, AI Summarization
Author Airtop
Published 18 May 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/4203/4203.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Extract structured LinkedIn profile data with Airtop & AI parsing do?

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 f...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Generation, AI Summarization use case.