Python Autoclicker

Overview

I built this project because I wanted a simple way to automate repetitive mouse and keyboard actions without needing a full game or browser tool. It started as a practical experiment in desktop automation, and it grew into a little utility I could actually use.

A lot of the inspiration came from playing Roblox games with friends and family. A lot of those games are built around repetitive tasks, and I wanted a way to let the game keep running while I focused on something else. I also liked the idea of having a tool that was easy to pause, adjust, and control without much setup.

My first version was a script written in AutoIt, which worked for some simple tasks. But once I wanted more control over timing and input sequences, I switched to Python and built a more flexible version with PyAutoGUI, pynput, and Tkinter.

The end result is a lightweight desktop app that I actually use when I play games. It is something I actually wanted to use, and it gave me a chance to build a real tool around a problem I actually had.

Problem I Wanted to Solve

Repetitive clicking and timed input actions are easy to ignore at first, but they get frustrating fast. I wanted something that could handle the repetitive parts for me, while still giving me control over when it was running and when it stopped.

What I Built

• Configurable timer-based click actions
• Play/pause controls with global hotkeys
• Mouse position display inside the GUI
• Modular row-based playback system for sequences and trigger types
• Platform-aware input handling for desktop automation

Tech Stack

Python, Tkinter, PyAutoGUI, pynput, and a modular row architecture for managing automation actions. The app is structured so different automation behaviors can be added without rewriting the main workflow.

What I Learned

This project taught me that even simple tools can get complicated fast, especially when they interact with the operating system and user input. I learned a lot about building a UI around real-world behavior, making controls feel intuitive, and keeping the app flexible as it grows.

Project Link

GitHub Repository