Automating Undetectable Website Interactions for AdsPower

Challenge

A digital marketing team using AdsPower (a multi-login anti-detect browser) faced inefficiencies in managing bulk account operations. Manual interactions with websites risked detection due to non-human-like mouse movements and clicks, jeopardizing account security. Key pain points included:

Detection risks: Robotic patterns in clicks/scrolls triggered anti-bot systems.
Time-intensive workflows: Manually locating and interacting with dynamic elements (e.g., buttons, forms) across hundreds of accounts.
Technical complexity: Existing tools like Selenium lacked realism in mimicking human behavior, while AdsPower’s built-in automation required advanced customization.

The team needed a script that replicated human-like interactions—smooth scrolling, natural mouse trajectories, and precise clicks—without relying on detectable frameworks.

Solution

BLocBelt developed a Python-based automation script to simulate undetectable human interactions within AdsPower’s Chrome environment. The solution included:

Realistic mouse movements: Bezier curve algorithms (via PyAutoGUI and Pynput) to mimic natural cursor trajectories.
Dynamic element detection: Integration with AutoHotKey (AHK) to locate elements via XPATH and retrieve coordinates (x, y, width, height).
Adaptive scrolling: Smooth scroll-to-element functionality, adjusting for varying window sizes.
Native clicks: Physical mouse click simulation to bypass bot detection mechanisms.
Timeout handling: Automated “Element not found” alerts if targets were undetected within 15 seconds.

The script avoided JavaScript/Selenium dependencies, ensuring compatibility with AdsPower’s anti-detect protocols.

Outcome

The automation script delivered critical improvements:

Zero detection incidents: Human-like interactions reduced account flagging by 100%.
80% faster workflows: Bulk account tasks (e.g., clicks, form submissions) were completed in minutes instead of hours.
Precision & reliability: Element detection accuracy reached 95%, minimizing manual intervention.
Scalability: Scripts adapted seamlessly to dynamic websites and AdsPower’s multi-profile environment.

The client reported enhanced operational security, reduced labor costs, and improved scalability for large-scale campaigns.

Technologies Used

Python: Core scripting language for workflow logic.
PyAutoGUI & Pynput: Realistic mouse movement/click simulation.
AutoHotKey (AHK): XPATH-based element coordinate retrieval.
Chrome Browser: Target platform for AdsPower integration.
Subprocess Module: Chrome instance management and script execution.