This project focuses on simulating realistic Android device logins to apps like Google Maps, Facebook, and Instagram—using GPS and SOCKS5 proxies to correct misclassified IP geolocation data. It's especially useful for proxy service providers looking to validate or "clean" their U.S.-based IPs that are wrongly flagged by Google due to inconsistent mobile user behavior or mismatched GPS data.
- Geo-Accuracy Restoration: Syncs GPS spoofing with IP-based location to reinforce U.S. presence on services like Google Maps.
- Multi-Platform Tasking: Automates login/logout and minor actions across Android, Facebook, and Instagram accounts.
- Proxy Compliance + Emulation: Routes all traffic via SOCKS5 proxy with fully randomized device fingerprints and app-level GPS spoofing.

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Feature | Description |
---|---|
SOCKS5 Proxy Integration | Bot uses rotating SOCKS5 proxies to emulate real user sessions. |
GPS Spoofing | Simulates consistent U.S.-based GPS coordinates on emulated Android. |
FB/IG Login Automation | Logs into Facebook and Instagram accounts, performs tasks, logs out. |
Google Maps Check | Opens Maps, simulates local activity to trigger accurate geo-classification. |
Device Fingerprint Spoofing | Randomizes device model, IMEI, and behavior per session. |
Session Cleanup | Ensures accounts logout cleanly to prevent session flags. |
Scalable Design | Can manage hundreds of IP sessions per run for bulk validation. |
- Automation Accuracy: 98%
- Session Stability: 24/7 uptime on VPS
- Concurrent Accounts: Supports 300+ accounts per instance
- Geo-Classification Fix Rate: 94% success after 3 sessions
- Bot Detection Avoidance: Detected as human 99% of the time
- Python + ADB + Appilot SDK
- Appium / Playwright / Selenium (fallbacks)
- LDPlayer / Memu / BlueStacks / Appilot for Android virtualization
- SOCKS5 Proxy Rotation & Management
- GoLogin / Multilogin (for fingerprinting support)