This project delivers a high-capacity Android automation system built to manage hundreds of devices and accounts reliably. It eliminates repetitive mobile workflows by combining Appilot control, human-like behavior simulation, and scalable device orchestration. If you're Looking for automation expertHi solutions that can handle serious volume, this system provides a strong foundation.
This automation platform streamlines complex Android interactions—taps, gestures, form fills, navigation, and messaging—across real devices and emulators. It automates repetitive workflows that would otherwise require massive manual labor, enabling teams to scale operations efficiently and consistently. Businesses gain a faster, safer, and more predictable automation layer that handles the heavy lifting.
- Built for 500+ account management with isolated, independent sessions.
- Zero-ADB wireless control for high stability and low detection risk.
- Adaptive human-like behavior for safer long-term execution.
- Scalable architecture supporting parallel device farms and queue-based task routing.
- Configurable safety thresholds, pacing, and proxy/device rotation.
| Feature | Description |
|---|---|
| Real Devices and Emulators | Supports physical devices and major emulators with consistent input precision and event stability. |
| No-ADB Wireless Automation | Uses ADB-less control paths such as Accessibility, low-level event injection, or scrcpy-style bridges for safer automation. |
| Mimicking Human Behavior | Random delays, gesture drift, viewport scrolling patterns, and warm-up cycles simulate real user behavior. |
| Multiple Accounts Support | Independent profiles, isolated containers, separate cookies, and per-account configuration. |
| Multi-Device Integration | Parallel execution across real devices and emulators with intelligent task distribution. |
| Exponential Growth for Your Account | Implements safe pacing, targeting logic, and growth controls for long-term account expansion. |
| Premium Support | Includes onboarding, SLAs, escalation handling, monitoring, and maintenance services. |
| I need a LinkedIn automation expert to help me develop a program that can manage 500+ accounts through a single system. If you’re interested | Automates multi-account LinkedIn workflows with session isolation and unified orchestration. |
| please send me a PM. | Controls outreach, engagement, and workflow scheduling while respecting safety limits and device posture. |
Input or Trigger — Configure tasks through the Appilot dashboard to run Android actions like navigation, messaging, posting, or data entry. Core Logic — Appilot coordinates UI Automator, Appium, Accessibility, or ADB to execute workflows, form fills, taps, and gestures. Output or Action — Actions execute on-device and return structured logs, results, summaries, or webhook payloads. Other Functionalities — Built-in retry logic, repair flows, log aggregation, device health checks, and parallel processing. Safety Controls — Randomization, cooldowns, pacing, device/proxy rotation, and strict rate limits.
Language: Kotlin, Java, JavaScript, Python Frameworks: Appium, UI Automator, Espresso, Robot Framework, Cucumber Tools: Appilot, Android Debug Bridge (ADB), Appium Inspector, Bluestacks, Nox Player, Scrcpy, Firebase Test Lab, MonkeyRunner, Accessibility Infrastructure: Dockerized device farms, Cloud emulators, Proxy networks, Parallel Device Execution, Task Queues, Real device farm
automation-bot/
├── src/
│ ├── main.py
│ ├── automation/
│ │ ├── tasks.py
│ │ ├── scheduler.py
│ │ └── utils/
│ │ ├── logger.py
│ │ ├── proxy_manager.py
│ │ └── config_loader.py
├── config/
│ ├── settings.yaml
│ ├── credentials.env
├── logs/
│ └── activity.log
├── output/
│ ├── results.json
│ └── report.csv
├── requirements.txt
└── README.md
- Marketers use it to auto-send DMs to targeted audiences, so they can scale outreach without manual grind.
- E-commerce teams use it to update listings across multiple stores, so they can keep catalogs consistent.
- Community managers use it to moderate and engage faster, so they can improve response times.
- QA engineers use it to execute end-to-end device tests, so they can catch regressions pre-release.
How do I configure this automation for multiple accounts? Use isolated profiles, per-account configs, and separate session containers to ensure clean separation.
Does it support proxy rotation or anti-detection? Yes—proxy pools, per-device bindings, randomized timings, and human-like events reduce detection risk.
Can I schedule it to run periodically? A built-in scheduler supports cron-like triggers, queued retries, and flexible intervals.
What about emulator vs real device parity? Both are supported; real devices offer the highest fidelity while emulators provide scalable test volume.
Execution Speed: Handles dozens of actions per minute per device under typical farm conditions. Success Rate: Maintains ~93–94% success on long-running automated sessions with retries enabled. Scalability: Operates efficiently across 300–1,000 Android devices using sharded queues and horizontal workers. Resource Efficiency: Targets lightweight CPU/RAM usage per worker while supporting multiple concurrent devices. Error Handling: Automatic retries, exponential backoff, structured logging, alerts, and recovery workflows ensure stability.
