Turn PyAutoGUI Code into Structured Actions with the Free Parse Endpoint
You have a working PyAutoGUI script. You run it locally and it clicks the right pixels, but when you move to a new browser window, a resized container, or a different screen resolution, your clicks drift. You end up hardcoding offsets and tweaking coordinates by hand. The Coasty Computer Use API turns your PyAutoGUI code into structured actions that use the actual screen state, so you get reliable automation across setups without rewriting scripts.
How the parse endpoint works
The POST /v1/parse endpoint is free. It accepts a snippet of pyautogui code and returns a list of structured actions. You send the code as a JSON string, and the service evaluates it against a simulated environment to produce actions like click, type, scroll, and wait. The response includes the list of actions and metadata such as the number of steps and the input language. This lets you replace raw coordinate-based code with a clean, state‑aware action list that a computer use agent can execute.
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()\n",
"language": "python"
}'Key fields and behavior
- ●POST /v1/parse is free, no credit deduction.
- ●Request body includes code (string) and language (string).
- ●Response contains actions (array of objects) with type (e.g., click, type, scroll) and parameters.
- ●The endpoint runs a lightweight evaluation to infer action semantics from pyautogui calls.
- ●Use the resulting action list as input to a stateful computer use agent such as sessions, workflows, or runs.
POST /v1/parse is free and turns pyautogui code into a structured actions list you can feed directly into a computer use agent.
Where this beats brittle automation
Pure coordinate-based scripts break when layouts shift, fonts change, or screens resize. The parse endpoint translates your PyAutoGUI logic into actions that reference semantic elements and current state. When combined with vision-based prediction (e.g., /v1/predict or session prediction), you get an agent that perceives the screen and adapts to changes in real time. This approach avoids fragile CSS selectors, XPath hacks, and hard offsets, letting you ship automation that works across environments without constant patching.
Start by sending your pyautogui scripts to the free parse endpoint, then plug the structured actions into a Coasty Computer Use session or workflow. Build resilient desktop and web automation that scales. Get your API key at https://coasty.ai/developers.