page-behavior-indexer

To extract page interactions from frontend source code, analyze React or React-like components to identify triggers, parameters, observable results, and confidence levels, then output structured YAML or Markdown descriptions capturing these business interaction units.

Yes, you can generate Playwright test inputs by extracting structured YAML or Markdown page behavior descriptions from React source code, capturing business interaction units like triggers and observable results suitable for DSL or Playwright test generation.

The best way to document frontend business actions is extracting page-level interaction units into structured YAML or Markdown formats that capture triggers, parameters, observable results, and confidence for direct use in DSL or Playwright test generation.

Yes, page behavior extraction works with large frontend applications by analyzing specified pages or directories to identify key business actions and output discardable structured descriptions for behavior-focused documentation and test generation.

To format extracted page behavior for DSL generation, output structured YAML or Markdown descriptions that conform to a defined output schema, capturing interaction triggers, parameters, observable results, and confidence scores from the frontend source code.

Extractable triggers and parameters from React page interactions include user event triggers, input parameters, observable UI results, and confidence scores, all structured into YAML or Markdown descriptions for downstream DSL or Playwright test generation.