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Deploy & cloud (DevOps)48k · #2169

apify-actor-development

Helps your agent prepare programs to run on the Apify platform. It configures the environment so the program works correctly.

What it does

This assistant helps you create and manage 'Actors' on the Apify platform. Actors are small programs that perform a specific task, like collecting data from the web.

When to use it

  • ✓When you want to create a new program to collect data.
  • ✓If you need to adjust an existing program.
  • ✓To set up a secure connection to the Apify platform.

Example of what to ask your AI

“I want to create a new Python actor to collect information from a website.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/apify-actor-development/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/apify-actor-development/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

It guides you through installing necessary tools, choosing a starting template for your program, and configuring technical details so it works correctly on the Apify platform.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill apify-actor-development

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/apify-actor-development/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Apify Actor Development

Important: Before you begin, fill in the generatedBy property in the meta section of .actor/actor.json. Replace it with the tool and model you're currently using, such as "Claude Code with Claude Sonnet 4.5". This helps Apify monitor and improve AGENTS.md for specific AI tools and models.

When to Use

  • You need to create, modify, or debug an Apify Actor project.
  • The task involves choosing an Apify template, wiring actor inputs/outputs, or implementing actor runtime logic.
  • You need safe setup guidance for apify CLI authentication, project bootstrap, or deployment workflow.

What are Apify Actors?

Actors are serverless programs inspired by the UNIX philosophy - programs that do one thing well and can be easily combined to build complex systems. They're packaged as Docker images and run in isolated containers in the cloud.

Core Concepts:

  • Accept well-defined JSON input
  • Perform isolated tasks (web scraping, automation, data processing)
  • Produce structured JSON output to datasets and/or store data in key-value stores
  • Can run from seconds to hours or even indefinitely
  • Persist state and can be restarted

Prerequisites & Setup (MANDATORY)

Before creating or modifying actors, verify that apify CLI is installed apify --help.

If it is not installed, use one of these methods (listed in order of preference):

# Preferred: install via a package manager (provides integrity checks)
npm install -g apify-cli

# Or (Mac): brew install apify-cli

Security note: Do NOT install the CLI by piping remote scripts directly into a shell. Always use a package manager.

When the apify CLI is installed, check that it is logged in with:

apify info  # Should return your username

If it is not logged in, check if the APIFY_TOKEN environment variable is defined (if not, ask the user to generate one on https://console.apify.com/settings/integrations and then define APIFY_TOKEN with it).

Then authenticate using one of these methods:

# Option 1 (preferred): The CLI automatically reads APIFY_TOKEN from the environment.
# Just ensure the env var is exported and run any apify command — no explicit login needed.

# Option 2: Interactive login (prompts for token without exposing it in shell history)
apify login

Security note: Avoid passing tokens as command-line arguments (e.g. apify login -t <token>). Arguments are visible in process listings and may be recorded in shell history. Prefer environment variables or interactive login instead. Never log, print, or embed APIFY_TOKEN in source code or configuration files. Use a token with the minimum required permissions (scoped token) and rotate it periodically.

Template Selection

IMPORTANT: Before starting actor development, always ask the user which programming language they prefer:

  • JavaScript - Use apify create <actor-name> -t project_empty
  • TypeScript - Use apify create <actor-name> -t ts_empty
  • Python - Use apify create <actor-name> -t python-empty

Use the appropriate CLI command based on the user's language choice. Additional packages (Crawlee, Playwright, etc.) can be installed later as needed.

Quick Start Workflow

  1. Create actor project - Run the appropriate apify create command based on user's language preference (see Template Selection above)
  2. Install dependencies (verify package names match intended packages before installing)
    • JavaScript/TypeScript: npm install (uses package-lock.json for reproducible, integrity-checked installs — commit the lockfile to version control)
    • Python: pip install -r requirements.txt (pin exact versions in requirements.txt, e.g. crawlee==1.2.3, and commit the file to version control)
  3. Implement logic - Write the actor code in src/main.py, src/main.js, or src/main.ts
  4. Configure schemas - Update input/output schemas in .actor/input_schema.json, .actor/output_schema.json, .actor/dataset_schema.json
  5. Configure platform settings - Update .actor/actor.json with actor metadata (see references/actor-json.md)
  6. Write documentation - Create comprehensive README.md for the marketplace
  7. Test locally - Run apify run to verify functionality (see Local Testing section below)
  8. Deploy - Run apify push to deploy the actor on the Apify platform (actor name is defined in .actor/actor.json)

Security

…

FAQ

What are 'Actors'?

Actors are like small robots or programs you can create on Apify to perform automated tasks, such as scraping data from websites.

Do I need to know a lot about programming?

The assistant helps with the initial steps and setup, but you will need to write the code for the specific task the actor should perform.

Is it safe to use?

Yes, Apify provides a secure environment, and the assistant guides you on security best practices, like not exposing passwords.

Details

Original description by the author

Important: Before you begin, fill in the generatedBy property in the meta section of .actor/actor.json. Replace it with the tool and model you're currently using, such as \"Claude Code with Claude Sonnet 4.5\". This helps Apify monitor and improve AGENTS.md for specific AI tools and models.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#2169
License
MIT
Updated
10/15/2026

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