Turn PyAutoGUI Code Into Structured Actions with the Free Coasty Parse Endpoint
You have a working PyAutoGUI script for a repetitive task. Maybe it clicks a button, types text, and moves the mouse. But that script is brittle. It relies on pixel coordinates that break when the UI shifts. You want to reuse the logic as a structured action for a computer use agent. The free Coasty parse endpoint can convert your PyAutoGUI code into a structured format that the agent can understand and execute. No extra cost. No manual rework.
How it works
The /v1/parse endpoint accepts a code string that contains PyAutoGUI calls. It outputs a structured representation of those actions. The endpoint is free and does not charge credits. You can run it from any HTTP client or program. The response contains a list of actions with fields like type, x, y, text, and duration. This structured output maps directly to the actions your computer use agent uses in /v1/predict or /v1/sessions/{id}/predict.
curl -X POST https://coasty.ai/v1/parse \
-H "X-API-Key: $COASTY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"code": "import pyautogui\npyautogui.moveTo(100, 200, duration=0.5)\npyautogui.click()\npyautogui.typewrite("Hello World", interval=0.05)"
}'What the response looks like
The parse endpoint returns a JSON object with a top-level actions array. Each action typically includes type (e.g., 'move', 'click', 'type'), coordinates (x, y), text content, and duration. This structure matches the actions returned by /v1/predict and /v1/sessions/{id}/predict. You can store these actions in workflows or reuse them in multiple runs without rewriting the original PyAutoGUI code.
Use /v1/parse for free to turn PyAutoGUI into structured actions for your computer use agent.
Where this beats brittle automation
Pixel-based automation breaks when UI layouts change. Structured actions describe intent, click near a label or type a known value, so agents can adapt. The parse endpoint gives you a bridge from existing scripts to agent-friendly formats. You can then call /v1/predict or /v1/sessions/{id}/predict to execute these actions on real desktops, browsers, and terminals. Add workflows to chain multiple actions, include retries, or pause for human approval. Compare this to hard-coded pixel offsets that require constant maintenance.
Ready to turn your PyAutoGUI scripts into agent-ready actions? Get a free API key at https://coasty.ai/developers and start parsing your code with the /v1/parse endpoint. From there, you can build robust computer use agents that handle real desktop and web interactions.