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Apify actorization

/SKILL

L'« actorisation » permet de transformer des logiciels existants en applications sans serveur réutilisables et compatibles avec la plateforme Apify. L

sickn33sickn33
46.1k
22 mai 2026
MIT License
// contenu du skill

name: apify-actorization

description: "Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, perform an action, and optionally produce structured JSON output."

risk: unknown

source: community


Apify Actorization

Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, perform an action, and optionally produce structured JSON output.

Quick Start

  1. Run apify init in project root
  2. Wrap code with SDK lifecycle (see language-specific section below)
  3. Configure .actor/input_schema.json
  4. Test with apify run --input '{"key": "value"}'
  5. Deploy with apify push

When to Use This Skill

  • Converting an existing project to run on Apify platform
  • Adding Apify SDK integration to a project
  • Wrapping a CLI tool or script as an Actor
  • Migrating a Crawlee project to Apify

Prerequisites

Verify apify CLI is installed:

bash
apify --help

If not installed:

bash
brew install apify-cli

# Or: npm install -g apify-cli
# Or install from an official release package that your OS package manager verifies

Verify CLI is logged in:

bash
apify info  # Should return your username

If not logged in, check if APIFY_TOKEN environment variable is defined. If not, ask the user to generate one at https://console.apify.com/settings/integrations, add it to their shell or secret manager without putting the literal token in command history, then run:

bash
apify login

Actorization Checklist

Copy this checklist to track progress:

  • [ ] Step 1: Analyze project (language, entry point, inputs, outputs)
  • [ ] Step 2: Run apify init to create Actor structure
  • [ ] Step 3: Apply language-specific SDK integration
  • [ ] Step 4: Configure .actor/input_schema.json
  • [ ] Step 5: Configure .actor/output_schema.json (if applicable)
  • [ ] Step 6: Update .actor/actor.json metadata
  • [ ] Step 7: Test locally with apify run
  • [ ] Step 8: Deploy with apify push

Step 1: Analyze the Project

Before making changes, understand the project:

  1. Identify the language - JavaScript/TypeScript, Python, or other
  2. Find the entry point - The main file that starts execution
  3. Identify inputs - Command-line arguments, environment variables, config files
  4. Identify outputs - Files, console output, API responses
  5. Check for state - Does it need to persist data between runs?

Step 2: Initialize Actor Structure

Run in the project root:

bash
apify init

This creates:

  • .actor/actor.json - Actor configuration and metadata
  • .actor/input_schema.json - Input definition for the Apify Console
  • Dockerfile (if not present) - Container image definition

Step 3: Apply Language-Specific Changes

Choose based on your project's language:

Quick Reference

LanguageInstallWrap Code
JS/TSnpm install apifyawait Actor.init() ... await Actor.exit()
Pythonpip install apifyasync with Actor:
OtherUse CLI in wrapper scriptapify actor:get-input / apify actor:push-data

Steps 4-6: Configure Schemas

See schemas-and-output.md for detailed configuration of:

  • Input schema (.actor/input_schema.json)
  • Output schema (.actor/output_schema.json)
  • Actor configuration (.actor/actor.json)
  • State management (request queues, key-value stores)

Validate schemas against @apify/json_schemas npm package.

Step 4: Test Locally

Run the actor with inline input (for JS/TS and Python actors):

bash
apify run --input '{"startUrl": "https://example.com", "maxItems": 10}'

Or use an input file:

bash
apify run --input-file ./test-input.json

Important: Always use apify run, not npm start or python main.py. The CLI sets up the proper environment and storage.

Step 5: Deploy

bash
apify push

This uploads and builds your actor on the Apify platform.

Monetization (Optional)

After deploying, you can monetize your actor in the Apify Store. The recommended model is Pay Per Event (PPE):

  • Per result/item scraped
  • Per page processed
  • Per API call made

Configure PPE in the Apify Console under Actor > Monetization. Charge for events in your code with await Actor.charge('result').

Other options: Rental (monthly subscription) or Free (open source).

Pre-Deployment Checklist

  • [ ] .actor/actor.json exists with correct name and description
  • [ ] `.actor/actor.js
// source originale publique
sickn33/antigravity-awesome-skills
/skills/apify-actorization/SKILL.md
Licence : MIT License
Projet indépendant, non affilié à Anthropic. Ce skill reste la propriété de son auteur original.
// installer ce skill
Collez cette commande dans votre terminal à la racine de votre projet :
mkdir -p .claude/commands && curl -o ".claude/commands/SKILL.md" "https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/apify-actorization/SKILL.md"
Ensuite dans Claude Code, tapez /SKILL pour l'activer.
open_in_newVoir la source originale
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// informations
Créateursickn33
Étoiles 46.1k
LicenceMIT License
Mis à jour22 mai 2026
Format.md
AccèsGratuit
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