🎣 Extract company data and calculate ICP score with Airtop

⚡ 430 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

Automating Company Data Enrichment and ICP Calculation

Use Case

This automation identifies a company’s LinkedIn profile, extracts key business data, and calculates an ICP (Ideal Customer Profile) score to qualify and enrich company records. It is perfect for sales teams, data enrichment pipelines, and CRM integrations.

What This Automation Does

Input Parameters

Output Includes

How It Works

  1. LinkedIn Detection: If not provided, attempts to locate the LinkedIn URL using website scraping or search.
  2. Data Extraction: Uses Airtop to gather structured data from the company’s LinkedIn profile.
  3. ICP Scoring: Applies a scoring rubric based on AI/tech orientation, scale, agency status, and geography.
  4. Merge Results: All data components are merged into a unified output.

Setup Requirements

  1. Airtop API Key
  2. Airtop Profile with LinkedIn authentication

Next Steps

Read more about company data enrichment and ICP scoring

🔗 Nodes Used

Execute Sub-workflow, Execute Workflow Trigger, Filter, n8n Form Trigger

📥 Import

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

📖 Importing guide · 🔑 Credential setup