Turn PyAutoGUI Code into Structured Actions with the Free Parse Endpoint
Most desktop automation scripts rely on PyAutoGUI or similar libraries that use pixel coordinates and mouse movements. These scripts break instantly when UI elements shift or screens resize. The Coasty Computer Use parse endpoint lets you submit PyAutoGUI code and get a structured JSON schema of actions instead. This gives you a reusable, versioned action set that you can feed into a computer use agent or a workflow engine.
How the parse endpoint works
You send a POST request to /v1/parse with your PyAutoGUI code and a language identifier. The endpoint returns a JSON object that describes each step of the script as structured actions. The response includes a list of steps with metadata like type and arguments. This conversion is free, making it easy to prototype and deploy without upfront costs.
curl -X POST https://coasty.ai/v1/parse \
-H "X-API-Key: $COASTY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"language": "python",
"code": "import pyautogui\npyautogui.moveTo(100, 200, duration=0.5)\npyautogui.click()\npyautogui.typewrite("hello world")"
}'What you get back
- ●A JSON object with a top-level array of steps
- ●Each step has a type such as move, click, type, or wait
- ●Arguments include coordinates, duration, text, and other parameters
- ●No billing happens for this endpoint
POST /v1/parse is free and returns a structured JSON schema of your PyAutoGUI script.
Where this beats brittle automation
Pixel-based automation fails when layouts change or screens scale. Structured actions let you compose reusable steps that target logical operations instead of raw pixels. A computer use agent can reason about UI state and adapt to changes. The parse endpoint bridges the gap between legacy scripts and modern agent workflows.
Use the free parse endpoint to turn existing PyAutoGUI scripts into structured actions. Feed those actions into a task run or workflow to build a robust computer use agent. Get your API key at https://coasty.ai/developers and start building agents that see and act like humans.