Mobile Development 8 min read

Automating Android Phone Actions with Python and ADB

This guide explains how to install ADB and the pure‑python‑adb library, enable USB debugging on an Android device, and write Python scripts that simulate touches to create a selfie timer and a word‑definition searcher, demonstrating full mobile automation using Python.

Python Programming Learning Circle
Python Programming Learning Circle
Python Programming Learning Circle
Automating Android Phone Actions with Python and ADB

Python can control almost any Android device through the Android Debug Bridge (ADB), allowing you to automate touches and actions. This tutorial shows how to set up ADB, install the pure-python-adb library, and optionally install the scrcpy tool for screen mirroring.

First, enable Developer Options on your phone, turn on USB debugging, and connect the device via USB. Start the ADB server with adb start-server and verify the connection.

After installing the required Python library using pip install pure-python-adb , you can create a Python script that imports AdbClient , connects to the device, and lists connected devices.

The tutorial then walks through two example scripts: a selfie timer that opens the camera app, waits five seconds, and takes a photo, and a definition finder that opens a browser, inputs a search term, waits, captures a screenshot, and saves it.

Both scripts rely on sending shell commands to simulate taps at specific screen coordinates, which you can obtain by enabling pointer location in Developer Options. The guide also provides a list of useful ADB shell commands for touch events.

By following these steps, you can automate a wide range of tasks on your Android phone using Python, turning manual interactions into programmable actions.

mobile developmentAndroidautomationscriptingADB
Python Programming Learning Circle
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Python Programming Learning Circle

A global community of Chinese Python developers offering technical articles, columns, original video tutorials, and problem sets. Topics include web full‑stack development, web scraping, data analysis, natural language processing, image processing, machine learning, automated testing, DevOps automation, and big data.

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