🕷️️ Job Radar • SCRAPING

upwork.com 🟢 2026-05-24

🔹 LinkedIn Company Employee Monitoring & Churn Tracker
👤 Client: 🇺🇸 United States Member since 2023-10-08
💰 Price: ****
🚩 Problem: Automated extraction of company employee lists while bypassing advanced browser fingerprinting, behavioral analysis, and IP-level detection to identify departing staff.
📦 Existing: Not specified

Specifications:

[Target] LinkedIn /company/{company_id}/people/ endpoints
[Method] Headless browser with anti-fingerprint evasion (navigator.webdriver, window.chrome, Canvas, WebGL, AudioContext)
[Method] Human-mimetic interaction (irregular scrolling, non-linear navigation, randomized timing, off-center clicking)
[Method] JA3 TLS fingerprint spoofing
[Security] Residential proxy rotation (non-datacenter IPs) with geolocation consistency
[Security] Account warmup strategy and session entropy (feed browsing, profile visits)
[Security] Cookie and localStorage isolation per account
[Stack] Database for employee state tracking and 'prospects' churn list
[Format] Daily delta comparison (Current List vs. Previous List)
[Target] Multi-company support (up to 50+ targets)

Workflow:

1. Initialize session using residential IP and spoofed browser fingerprint.
2. Navigate to target company 'people' URL and perform human-like scrolling to load full list.
3. Extract current employee list and store in primary database.
4. Compare current list against previous 24-hour snapshot.
5. Identify missing profiles and migrate records to 'prospects' database.
6. Execute non-scraping activities (feed browsing) to maintain account trust score.