Convert Existing Software into Apify Serverless Actors
Apify Actorization converts existing software into serverless Apify Actors - Docker-packaged programs that accept JSON input, perform actions, and produce
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Why it matters
Transform standalone scripts, CLI tools, or applications into reusable serverless Actors that run on the Apify platform with proper SDK integration, JSON input/output schemas, and deployment configuration.
Outcomes
What it gets done
Wrap existing code with Apify SDK lifecycle methods and input/output handling
Generate and configure Actor schemas for inputs, outputs, and metadata
Test Actor execution locally with the Apify CLI and sample inputs
Deploy the containerized Actor to the Apify platform and optionally configure monetization
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-apify-actorization | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
Apify Actorization
Apify Actorization converts existing software into serverless Apify Actors - Docker-packaged programs that accept JSON input, perform actions, and produce structured output. It wraps your code with the Apify SDK lifecycle, configures input/output schemas, and enables deployment to the Apify platform where Actors run as reusable serverless applications. Use this when converting an existing project to run on the Apify platform, adding Apify SDK integration, wrapping a CLI tool or script as an Actor, or migrating a Crawlee project to Apify. It's ideal for developers who need to package scrapers, crawlers, or automation scripts as serverless applications with well-defined JSON interfaces.
What it does
Apify Actorization transforms existing software projects 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. The skill guides you through wrapping your code with the Apify SDK lifecycle, configuring input/output schemas, and deploying to the Apify platform.
When to use - and when NOT to
Use this skill when converting an existing project to run on the Apify platform, adding Apify SDK integration to a project, wrapping a CLI tool or script as an Actor, or migrating a Crawlee project to Apify. Do NOT use this skill if the task clearly falls outside the scope of Apify platform integration. Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Inputs and outputs
You provide an existing software project (JavaScript/TypeScript, Python, or CLI-based), its entry point, and its current input/output mechanisms. The skill guides you through creating Actor configuration files including .actor/actor.json metadata, .actor/input_schema.json defining inputs, optional .actor/output_schema.json for structured output, and a Dockerfile. Your code is wrapped with SDK lifecycle calls and configured to read inputs via Actor.getInput() and push outputs via Actor.pushData() or key-value stores.
Integrations
The skill integrates with the Apify platform and CLI. It supports JavaScript/TypeScript projects via the Apify SDK for JavaScript, Python projects via the Apify SDK for Python, and other languages through CLI-based wrapper scripts. For JavaScript/TypeScript, install the SDK and wrap your code:
npm install apify
import { Actor } from 'apify';
await Actor.init();
const input = await Actor.getInput();
console.log('Input:', input);
// Your existing code here
await Actor.exit();
Test locally with:
apify run --input '{"startUrl": "https://example.com", "maxItems": 10}'
Deploy with:
apify push
The skill validates schemas against the @apify/json_schemas npm package and optionally integrates with Apify MCP tools (search-apify-docs, fetch-apify-docs) for documentation lookup.
Who it's for
This skill serves developers converting existing scrapers, crawlers, CLI tools, or automation scripts into Apify Actors. It's designed for engineers familiar with JavaScript/TypeScript, Python, or command-line tools who need to package their work as serverless applications. After deployment, you can monetize your Actor in the Apify Store using Pay Per Event (PPE), Rental, or Free models. The skill provides an 8-step checklist from project analysis through deployment, with language-specific integration guides and pre-deployment validation steps.
FAQ
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