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apify-actorization

Convert existing applications into Apify Actors with validated JSON inputs and structured outputs.

Updated Apr 6, 2026
Search Tags:#deployment#serverless#apify#json schema#actorization#sdk integration#cli wrapper
One-click install
npx skills add https://github.com/daanteijema-beep/ai-gids-platform --skill apify-actorization-daanteijema-beep
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: apify-actorization
Source: https://github.com/daanteijema-beep/ai-gids-platform/tree/main/.agents/skills/apify-actorization
Command: npx skills add https://github.com/daanteijema-beep/ai-gids-platform --skill apify-actorization-daanteijema-beep

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you transform an existing codebase into an Apify Actor so it can run as a serverless, reusable unit on the Apify platform without rewriting your whole application from scratch.

Core Features & Use Cases

  • Actorization workflow: Converts projects into Apify-compatible Actors by guiding you through initialization, lifecycle wrapping, and schema configuration for inputs and outputs.
  • SDK- and CLI-aware guidance: Supports JavaScript/TypeScript (Actor.init/exit), Python (async context manager), and CLI-based wrappers for languages without a native SDK.
  • Deployment-ready checklist: Walks you through the practical steps needed for local testing, publishing readiness, and (optionally) monetization setup for store distribution.

Example use case: You have a web scraping or transformation script already working locally, and you want to package it so others can run it through the Apify Console using validated JSON inputs and structured output.

Quick Start

Use the apify-actorization skill to actorize your existing project by running apify init, wiring your entry point to the Apify Actor lifecycle for your language, and configuring .actor/input_schema.json and .actor/output_schema.json so you can test with apify run and deploy with apify push.

Frequently Asked Questions about apify-actorization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert an existing script into an Apify Actor?▼

Converting an existing script into an Apify Actor involves running apify init, wiring your code to the language-specific Actor lifecycle, configuring JSON schemas, and deploying with apify push.

Can I package a Python application for serverless execution on Apify?▼

You can package a Python application by implementing the Actor async context manager for lifecycle management and defining JSON schemas before deploying it as a serverless Dockerized program.

Does Apify Actorization support CLI-based tools without a native SDK?▼

Apify actorization supports CLI-based wrapping scenarios, allowing you to package command-line tools as serverless Actors even when a native SDK integration is unavailable for your language.

How do I define validated JSON inputs for an Apify Actor?▼

You define validated JSON inputs by configuring the .actor/input_schema.json file, which allows your serverless Actor to accept and validate structured data before local testing and platform deployment.

What is the best way to migrate a local web crawler to the Apify platform?▼

The best way to migrate a local web crawler is to actorize the project by integrating Apify Actor SDK support, configuring input/output schemas, and deploying it as a serverless Dockerized program.

Do I need Docker to deploy an Apify Actor?▼

Deploying an Apify Actor requires Docker because the actorization process converts your project into a serverless Dockerized program, executed on the platform after deploying with apify push.

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