Extract Company Data & Calculate ICP Score with Airtop
Automates LinkedIn company profile detection, data extraction, and ICP scoring using Airtop. Ideal for sales teams enriching leads with scale metrics, classifications, and qualification scores.
This workflow identifies a company's LinkedIn profile from its domain, extracts key business data like name, tagline, website, location, about section, employee count, and classifications (e.g., automation agency, AI focus, technical level). It then calculates an ICP score based on AI/tech orientation, scale, agency status, and geography, outputting a structured JSON with all merged data.
Perfect for sales pipelines, data enrichment, and CRM integrations, it saves hours of manual research by automating LinkedIn scraping via Airtop. Benefits include qualified leads, faster prospecting, and enriched records for better targeting.
Setup requires an Airtop API key and LinkedIn-authenticated browser profile. Input a company domain (optional LinkedIn URL), and get verified profiles, metrics, and scores. Pair with person enrichment or CRM sync for full pipelines.
Use cases: Qualify B2B leads, build market research datasets, automate outbound sales prep.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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