Extract Person Data & Calculate ICP Score with Airtop

This n8n workflow automates the enrichment of person data from LinkedIn using Airtop's browser profiles, starting with inputs like person name, work email, and an authenticated Airtop profile. It first filters emails to ensure they are corporate (excluding free domains like Gmail), then discovers and verifies the matching LinkedIn URL through automated browsing. Professional details such as job title, company, experience, and skills are extracted seamlessly.

Next, it calculates an Ideal Customer Profile (ICP) score based on the enriched data, evaluating fit against your defined customer attributes like industry, role seniority, and company size. Outputs are merged into a single structured JSON with all enriched data and the ICP score, ready for downstream use.

Benefits include significant time savings on manual research, improved lead quality through scoring, and scalable processing for sales teams. Use cases span lead generation, contact research, CRM integration (e.g., HubSpot, Salesforce), and batch outreach campaigns. Customize scoring logic for precise targeting and combine with other automations for full-funnel efficiency.