apify-actor-development

To build and deploy an Apify Actor, you create an Actor project, implement the crawler logic, define input/output schemas for structured JSON I/O, validate behavior locally using the apify run command, and finally push it to the platform using apify push.

You can test an Apify Actor locally before deploying by utilizing Apify's local environment and local storage layout. Running the actor with the apify run command allows you to validate its behavior deterministically to ensure it works correctly before pushing to the platform.

When developing Apify Actors, you should apply production-grade security guardrails for handling crawled content, credentials, and dependency risks. This includes implementing Apify SDK logging and censoring best practices to ensure safe operational constraints for your crawled data.

Apify Actor development supports creating an Actor skeleton in your preferred language, including JavaScript, TypeScript, or Python. You can generate the project structure for any of these languages and then configure the necessary input and output schemas for your crawling automation workflows.

The best way to define input and output schemas for Apify crawlers is to configure them directly within your Actor project for structured JSON I/O. This ensures the data processing workflows align correctly with the Apify Console UI and the resulting datasets.

If your Apify Actor produces inconsistent results during local testing, ensure you are using the apify run command for deterministic local testing within the local storage layout. Validating behavior in this mirrored environment helps identify and resolve schema configuration or crawler logic issues before deployment.