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For cases where I have to left-click many times on the same spot, I would like to have a tool that relieves me from having to do it manually.

Setting it up should be easy, ideally self-explanatory (without having to read the man page in case I didn’t use it for a few months). I will use it rarely, and always for different cases, so I will configure it on the fly for each case. It should be easier/faster to set it up than to click 100 times manually, otherwise I would probably not bother to use it.

Requirements

Desired workflow

  1. Open the tool.
  2. Set interval (e.g., every 2 seconds) and number (e.g., 100 clicks).
  3. Move the mouse to the location.
  4. Press a key combination to start the left-clicking.

Bonus

  • A GUI.

  • To prevent clicking the wrong spots (when accidentally moving the mouse), it would be great if the mouse cursor gets locked (until it finished or until I press a key combination to pause/stop it) or the script pauses as soon as I move the mouse.

  • Allow setting a random interval (e.g., anything between 1 and 3 seconds per click).

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Sikuli X could be the answer to your needs. It is a test framework based on OpenCV that uses image recognition to determine the actions to take. Scripts can be run in Python, Ruby, JavaScript, RobotFramework.

  • FLOSS - Yes
  • Debian - Fully Cross Platform
  • In package directory Not currently - Single .jar on launchpad
  • GUI - Yes
  • Cursor Locked - No but since the screen is searched each time the mouse will go back to where it is needed
  • Any interval - Yes

The workflow, using the default python scripting:

  1. Open the GUI
  2. Click on the button for click on screen
  3. Select the item on the screen that you need to click on
  4. Make the above into a loop with for x in range(100):
  5. Edit the script to add a sleep after each click
  6. Optionally save the script for re-use
  7. Run the script

You do need to ensure that the image that you are looking for is on the main monitor of the system.

Silly Example: enter image description here

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