apify-generate-output-schema

To generate an Apify dataset schema, the Skill analyzes your Actor's TypeScript or Python source code to extract field definitions and push calls. It outputs a draft-07 JSON schema file that accurately maps your dataset fields for Apify Console rendering.

Apify Console displays results incorrectly when your Actor lacks a precise output schema. By analyzing your source code and generating a dataset_schema.json file with exact fields and nullable properties, the Console can properly filter and render your run data.

You define a key-value store schema by analyzing your Actor's code for set calls to the key-value store. The Skill generates a key_value_store_schema.json file using draft-07 JSON schema conventions, ensuring the stored contents render accurately in Apify Console.

Yes, you can update actor.json automatically during development. The Skill generates the necessary schema files and updates actor.json to reference them, ensuring Apify Console applies the correct view structure and formatting to your dataset and run results.

Yes, the schema generator supports nested objects and arrays. It produces draft-07 JSON schema with additionalProperties set at all object levels and marks every field as nullable to maintain predictable and safe schema conventions for Apify.

The best way to ensure schema consistency is to search your repository for existing schema conventions in other Actors. The Skill mirrors their naming, formatting, and view structure to generate consistent dataset_schema.json and key_value_store_schema.json files.