Apify command-line interface (Apify CLI)

Apify command-line interface (Apify CLI) helps you create, develop, build and run Apify Actors, and manage the Apify cloud platform from any computer.

Apify Actors are cloud programs that can perform arbitrary web scraping, automation or data processing job. They accept input, perform their job and generate output. While you can develop Actors in an online IDE directly in the Apify web application, for complex projects it is more convenient to develop Actors locally on your computer using Apify SDK and only push the Actors to the Apify cloud during deployment. This is where the Apify CLI comes in.

Note that Actors running on the Apify platform are executed in Docker containers, so with an appropriate Dockerfile you can build your Actors in any programming language. However, we recommend using JavaScript / Node.js, for which we provide most libraries and support.

Installation

Via bundles

MacOS / Unix

curl -fsSL https://apify.com/install-cli.sh | bash

Windows

irm https://apify.com/install-cli.ps1 | iex

Via Homebrew

On macOS (or Linux), you can install the Apify CLI via the Homebrew package manager.

brew install apify-cli

Via NPM

First, make sure you have Node.js version 22 or higher with NPM installed on your computer:

node --version
npm --version

Install or upgrade Apify CLI by running:

npm install -g apify-cli

Alternatively, you can use fnm (Fast Node Manager) and install Apify CLI only into a selected user-level Node version without requiring root privileges:

fnm install 22
fnm use 22
npm install -g apify-cli

Finally, verify that Apify CLI was installed correctly by running:

apify --version

You can also skip the manual global installation altogether and use npx apify-cli with all the following commands instead.

Basic usage

The following examples demonstrate the basic usage of Apify CLI.

Create a new Actor from scratch

apify create my-hello-world

First, you will be prompted to select a template with the boilerplate for the Actor, to help you get started quickly. The command will create a directory called my-hello-world that contains a Node.js project for the Actor and a few configuration files.

If you decided to skip the installation and go with npx, the command will be npx apify-cli create my-hello-world.

Create a new Actor from existing project

cd ./my/awesome/project
apify init

This command will only set up local Actor development environment in an existing directory, i.e. it will create the .actor/actor.json file and apify_storage directory.

Before you can run your project locally using apify run, you have to set up the right start command in package.json under scripts.start. For example:

{
    ...
    "scripts": {
        "start": "node your_main_file.js",
    },
    ...
}

You can find more information about by running apify help run.

Create a new Actor from Scrapy project

If you want to run a Scrapy project on Apify platform, follow the Scrapy integration guide.

Run the Actor locally

cd my-hello-world
apify run

This command runs the Actor on your local machine. Now's your chance to develop the logic - or magic 😏

Login with your Apify account

apify login

Before you can interact with the Apify cloud, you need to create an Apify account and log in to it using the above command. You will be prompted for your Apify API token. Note that the command will store the API token and other sensitive information to ~/.apify.

Push the Actor to the Apify cloud

apify push

This command uploads your project to the Apify cloud and builds an Actor from it. On the platform, Actor needs to be built before it can be run.

Run an Actor on the Apify cloud

apify call

Runs the Actor corresponding to the current directory on the Apify platform.

This command can also be used to run other Actors, for example:

apify call apify/hello-world

So what's in this .actor/actor.json file?

This file associates your local development project with an Actor on the Apify platform. It contains information such as Actor name, version, build tag and environment variables. Make sure you commit this file to the Git repository.

For example, .actor/actor.json file can look as follows:

{
  "actorSpecification": 1,
  "name": "name-of-my-scraper",
  "version": "0.0",
  "buildTag": "latest",
  "environmentVariables": {
    "MYSQL_USER": "my_username",
    "MYSQL_PASSWORD": "@mySecretPassword"
  },
  "dockerfile": "./Dockerfile",
  "readme": "./ACTOR.md",
  "input": "./input_schema.json",
  "storages": {
    "dataset": "./dataset_schema.json"
  }
}

Dockerfile field
If you specify the path to your Docker file under the dockerfile field, this file will be used for Actor builds on the platform. If not specified, the system will look for Docker files at .actor/Dockerfile and Dockerfile in this order of preference.

Readme field
If you specify the path to your readme file under the readme field, the readme at this path will be used on the platform. If not specified, readme at .actor/README.md and README.md will be used in this order of preference.

Input field
You can embed your input schema object directly in actor.json under input field. Alternatively, you can provide a path to a custom input schema. If not provided, the input schema at .actor/INPUT_SCHEMA.json and INPUT_SCHEMA.json is used in this order of preference.

Storages.dataset field
You can define the schema of the items in your dataset under the storages.dataset field. This can be either an embedded object or a path to a JSON schema file. You can read more about the schema of your Actor output here.

Note on migration from deprecated config "apify.json"
Note that previously, Actor config was stored in the apify.json file that has been deprecated. You can find the (very slight) differences and migration info in migration guidelines.

Environment variables

There are two options how you can set up environment variables for Actors.

Set up environment variables in .actor/actor.json

All keys from env will be set as environment variables into Apify platform after you push Actor to Apify. Current values on Apify will be overridden.

{
  "actorSpecification": 1,
  "name": "dataset-to-mysql",
  "version": "0.1",
  "buildTag": "latest",
  "environmentVariables": {
    "MYSQL_USER": "my_username",
    "MYSQL_PASSWORD": "@mySecretPassword"
  }
}

Set up environment variables in Apify Console

In Apify Console select your Actor, you can set up variables into Source tab. After setting up variables in the app, remove the environmentVariables from .actor/actor.json. Otherwise, variables from .actor/actor.json will override variables in the app.

{
  "actorSpecification": 1,
  "name": "dataset-to-mysql",
  "version": "0.1",
  "buildTag": "latest"
}

How to set secret environment variables in .actor/actor.json

CLI provides commands to manage secrets environment variables. Secrets are stored to the ~/.apify directory. You can add a new secret using the command:

apify secrets:add mySecretPassword pwd1234

After adding a new secret you can use the secret in .actor/actor.json.

{
    "actorSpecification": 1,
    "name": "dataset-to-mysql",
    ...
    "environmentVariables": {
      "MYSQL_PASSWORD": "@mySecretPassword"
    },
    ...
}

Need help?

To see all CLI commands simply run:

apify help

To get information about a specific command run:

apify help COMMAND

Still haven't found what you were looking for? Please go to Apify Help center or contact us.

Command reference

See a list of all our commands on the reference page