LinkedIn Person ICP Scoring with Airtop & Google Sheets
Automates extraction of LinkedIn profile data via Airtop, AI-based ICP scoring for lead qualification, and updates to Google Sheets for sales prioritization.
This n8n workflow automates the qualification of LinkedIn prospects by extracting real-time profile data using Airtop, analyzing it with AI to compute an Ideal Customer Profile (ICP) score based on factors like AI interest, technical depth, and seniority, and then enriching a Google Sheet with the results. It eliminates manual lead sorting, ensuring sales teams focus on high-potential opportunities.
Key benefits include real-time data accuracy from LinkedIn (unlike outdated databases), efficient prioritization to save hours of manual review, and seamless integration into existing sales processes via Google Sheets. The workflow transforms raw LinkedIn URLs into actionable insights, boosting conversion rates by targeting ideal fits.
Ideal use cases: Sales teams qualifying B2B leads, marketing for account-based strategies, or recruiters scoring candidates. Start with a Google Sheet of prospects; the automation handles extraction, scoring (0-100 scale), and updates automatically on triggers like new rows.
Requirements: Free Airtop API key and a copy of the provided Google Sheet template. No coding needed—deploy in minutes for scalable lead gen.
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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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