Apify actorization
/SKILLL'« actorisation » permet de transformer des logiciels existants en applications sans serveur réutilisables et compatibles avec la plateforme Apify. L
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
- Run
apify initin project root - Wrap code with SDK lifecycle (see language-specific section below)
- Configure
.actor/input_schema.json - Test with
apify run --input '{"key": "value"}' - 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:
apify --helpIf not installed:
brew install apify-cli
# Or: npm install -g apify-cli
# Or install from an official release package that your OS package manager verifiesVerify CLI is logged in:
apify info # Should return your usernameIf 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:
apify loginActorization Checklist
Copy this checklist to track progress:
- [ ] Step 1: Analyze project (language, entry point, inputs, outputs)
- [ ] Step 2: Run
apify initto 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.jsonmetadata - [ ] Step 7: Test locally with
apify run - [ ] Step 8: Deploy with
apify push
Step 1: Analyze the Project
Before making changes, understand the project:
- Identify the language - JavaScript/TypeScript, Python, or other
- Find the entry point - The main file that starts execution
- Identify inputs - Command-line arguments, environment variables, config files
- Identify outputs - Files, console output, API responses
- Check for state - Does it need to persist data between runs?
Step 2: Initialize Actor Structure
Run in the project root:
apify initThis creates:
.actor/actor.json- Actor configuration and metadata.actor/input_schema.json- Input definition for the Apify ConsoleDockerfile(if not present) - Container image definition
Step 3: Apply Language-Specific Changes
Choose based on your project's language:
- JavaScript/TypeScript: See js-ts-actorization.md
- Python: See python-actorization.md
- Other Languages (CLI-based): See cli-actorization.md
Quick Reference
| Language | Install | Wrap Code |
|---|---|---|
| JS/TS | npm install apify | await Actor.init() ... await Actor.exit() |
| Python | pip install apify | async with Actor: |
| Other | Use CLI in wrapper script | apify 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):
apify run --input '{"startUrl": "https://example.com", "maxItems": 10}'Or use an input file:
apify run --input-file ./test-input.jsonImportant: Always use apify run, not npm start or python main.py. The CLI sets up the proper environment and storage.
Step 5: Deploy
apify pushThis 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.jsonexists with correct name and description - [ ] `.actor/actor.js