This project showcases a stealth automation bot built on top of AdsPower's RPA and local API system, designed to execute actions within AdsPower browser profiles with minimal detection risk. It leverages the anti-detect capabilities of AdsPower to simulate human-like behaviors for tasks such as warm-up routines, social engagement, and eCommerce operations. Unlike traditional Selenium or Puppeteer setups, this approach runs inside real browser environments backed by spoofed fingerprints—greatly improving safety and reducing bans. Ideal for platforms with strict bot detection like Facebook, TikTok, and Instagram.
- Native Profile Control via AdsPower API: Interact directly with browser instances using AdsPower’s local APIs, giving full control over tabs, navigation, DOM interaction, and cookie/session handling.
- Enhanced Stealth through Anti-Detect Environment: Bypass traditional bot detection by running inside AdsPower’s fingerprinted browser environment—eliminating many automation fingerprints.
- Modular and Scalable Bot Logic: Build flexible workflows for tasks like account warm-up, data scraping, or form submission—scaling across 100s of isolated browser profiles in parallel.
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| Feature | Description |
|---|---|
| AdsPower API Integration | Control local browser profiles, tabs, cookies, and actions via API. |
| Stealth Execution Environment | All actions occur within anti-detect environments with spoofed fingerprints. |
| Warm-Up Routine Support | Automates natural browsing behavior (scroll, pause, random delay, etc.). |
| Multi-Profile Management | Launch and automate dozens or hundreds of browser profiles in parallel. |
| Cookie and Session Handling | Preserve login states across sessions using built-in AdsPower sync tools. |
| JavaScript Command Execution | Run inline JS in-page for precise DOM interaction without external drivers. |
| Randomized Human-Like Behavior | Adds delay, scroll, and mouse movement randomness for mimicry. |
| Task Scheduling and Retry Logic | Built-in logic to retry failed steps and manage task queues. |
- Automation Accuracy: 97%
- Session Stability: Tested across 48-hour non-stop sessions
- Concurrent Profile Handling: 300+ browser sessions
- Detection Rate: Less than 1% across major social platforms
- Avg. Warm-Up Time per Account: 3–5 minutes
- Tech Stack: Node.js, Python, AdsPower API, WebSocket, REST
- Platforms Tested On: Facebook, TikTok, Instagram, LinkedIn
- Automation Type: RPA-style flow execution with stealth control
- Fingerprint Spoofing: Built-in via AdsPower (JS hook & WebRTC patched)
- Session Management: Automated login storage + persistent session use