# Monitor LinkedIn job changes: extract and classify role data
This automation workflow enables manual but efficient tracking of career changes among LinkedIn contacts. It scrapes updated job data, classifies roles by function, and outputs structured JSON for CRM integration, outreach campaigns, or market analysis.
## Who it´s for
- Recruiters monitoring career moves within their LinkedIn network
- Sales managers identifying new decision-makers after job changes
- Marketers updating contact databases for personalized campaigns
- CRM owners automating client data refresh
## What the automation does
- Triggered manually on demand
- Uses Airtop to scrape LinkedIn profile data
- Extracts name, new position, and LinkedIn profile URL
- Classifies the new role into functional categories (e.g., marketing, sales)
- Outputs clean, structured JSON for downstream systems
## What´s included
- Ready-to-use n8n workflow
- Manual trigger logic and data processing pipeline
- Integrations with LinkedIn (via Airtop API)
- Basic text instructions for launch and adaptation
## Requirements for setup
- n8n instance (self-hosted or cloud)
- Active Airtop API access with LinkedIn scraping permissions
- List of LinkedIn profile URLs to monitor (provided at runtime)
## Benefits and outcomes
- Saves time vs. manual LinkedIn checks
- Accurate role classification for audience segmentation
- Structured JSON output compatible with CRM, BI, or email tools
- Enables timely outreach after job changes (e.g., personalized messages)
- Supports strategic HR insights like competitor talent movement
## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via chat
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