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apify-cli

0.3.9 • Public • Published 7 days ago

Apify command-line client (apify-cli)

Apify command-line client (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

First, make sure you have Node.js version 8 or higher installed on your computer:

node --version

Install or upgrade Apify CLI by running:

npm -g install apify-cli

Finally, you can test that the CLI was installed correctly:

apify info

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.

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 apify.json file and apify_storage directory.

Before you can run your project 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.

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 creates a ZIP archive with your project, uploads it to the Apify cloud and builds an actor from it.

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 `apify.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, apify.json file can look as follows:

{
    "name": "dataset-to-mysql",
    "version": "0.1",
    "buildTag": "latest",
    "env": {
      "MYSQL_USER": "my_username",
      "MYSQL_PASSWORD": "@mySecretPassword"
    },
    "template": "basic"
}

Environment variables

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

1. Set up environment variables in `apify.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.

{
    "name": "dataset-to-mysql",
    "version": "0.1",
    "buildTag": "latest",
    "env": {
      "MYSQL_USER": "my_username",
      "MYSQL_PASSWORD": "@mySecretPassword"
    },
    "template": "basic"
}

2. Set up environment variables in Apify app

In Apify app select your actor, you can set up variables into Source tab. After setting up variables in the app, set up env to null apify.json. Otherwise, variables from apify.json will override variables in the app.

{
    "name": "dataset-to-mysql",
    "version": "0.1",
    "buildTag": "latest",
    "env": null,
    "template": "basic"
}

How to set secret environment variables in `apify.json`

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

apify secrets:add mySecretPassword pwd1234

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

{
    "name": "dataset-to-mysql",
    ...
    "env": {
      "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

This section contains printouts of apify help for all commands.

Apify command-line client helps you create, develop, build and run Apify actors, and manage the Apify cloud platform.
 
VERSION
  apify-cli/0.3.9 darwin-x64 node-v10.15.0
 
USAGE
  $ apify [COMMAND]
 
COMMANDS
  call     Runs a specific actor remotely on the Apify cloud platform.
  create   Creates a new actor project directory from a selected boilerplate
           template.
  info     Displays information about the currently active Apify account.
  init     Initializes a new actor project in an existing directory.
  login    Logs in to your Apify account using a provided API token.
  logout   Logs out of your Apify account.
  push     Uploads the actor to the Apify platform and builds it there.
  run      Runs the actor locally in the current directory by executing "npm
           start".
  secrets  Manages secret values for actor environment variables.
  vis      Validates INPUT_SCHEMA.json file and prints errors found.

apify call

Runs a specific actor remotely on the Apify cloud platform.
 
USAGE
  $ apify call [ACTID]
 
ARGUMENTS
  ACTID  Name or ID of the actor to run (e.g. "apify/hello-world" or
         "E2jjCZBezvAZnX8Rb"). If not provided, the command runs the remote
         actor specified in the "apify.json" file.
 
OPTIONS
  -b, --build=build                      Tag or number of the build to run (e.g.
                                         "latest" or "1.2.34").
 
  -m, --memory=memory                    Amount of memory allocated for the
                                         actor run, in megabytes.
 
  -t, --timeout=timeout                  Timeout for the actor run in seconds.
                                         Zero value means there is no timeout.
 
  -w, --wait-for-finish=wait-for-finish  Seconds for waiting to run to finish,
                                         if no value passed, it waits forever.
 
DESCRIPTION
  The actor is run under your current Apify account, therefore you need to be 
  logged in by calling "apify login". It takes input for the actor from the 
  default local key-value store by default.

apify create

Creates a new actor project directory from a selected boilerplate template.
 
USAGE
  $ apify create ACTORNAME
 
ARGUMENTS
  ACTORNAME  Name of the actor and its directory
 
OPTIONS
  -t, --template=puppeteer_crawler|puppeteer|basic|hello_world
      Boilerplate template for the actor. If not provided, the command will prompt 
      for it.

apify info

Displays information about the currently active Apify account.
 
USAGE
  $ apify info
 
DESCRIPTION
  The information is printed to the console.

apify init

Initializes a new actor project in an existing directory.
 
USAGE
  $ apify init [ACTNAME]
 
ARGUMENTS
  ACTNAME  Name of the actor. If not provided, you will be prompted for it.
 
DESCRIPTION
  The command only creates the "apify.json" file and the "apify_storage" 
  directory in the current directory, but will not touch anything else.
 
  WARNING: If these files already exist, they will be overwritten!

apify login

Logs in to your Apify account using a provided API token.
 
USAGE
  $ apify login
 
OPTIONS
  -t, --token=token  [Optional] Apify API token
 
DESCRIPTION
  The API token and other account information is stored in the ~/.apify 
  directory, from where it is read by all other "apify" commands. To log out, 
  call "apify logout".

apify logout

Logs out of your Apify account.
 
USAGE
  $ apify logout
 
DESCRIPTION
  The command deletes the API token and all other account information stored in 
  the ~/.apify directory. To log in again, call "apify login".

apify push

Uploads the actor to the Apify platform and builds it there.
 
USAGE
  $ apify push [ACTORID]
 
ARGUMENTS
  ACTORID  ID of an existing actor on the Apify platform where the files will be
           pushed. If not provided, the command will create or modify the actor
           with the name specified in "apify.json" file.
 
OPTIONS
  -b, --build-tag=build-tag              Build tag to be applied to the
                                         successful actor build. By default, it
                                         is taken from the "apify.json" file
 
  -v, --version=version                  Actor version number to which the files
                                         should be pushed. By default, it is
                                         taken from the "apify.json" file.
 
  -w, --wait-for-finish=wait-for-finish  Seconds for waiting to build to finish,
                                         if no value passed, it waits forever.
 
  --version-number=version-number        DEPRECATED: Use flag version instead.
                                         Actor version number to which the files
                                         should be pushed. By default, it is
                                         taken from the "apify.json" file.
 
DESCRIPTION
  The command creates a ZIP with files of the actor from the current directory, 
  uploads it to the Apify platform and builds it. The actor settings are read 
  from the "apify.json" file in the current directory, but they can be 
  overridden using command-line options.
 
  WARNING: If the target actor already exists in your Apify account, it will be 
  overwritten!

apify run

Runs the actor locally in the current directory by executing "npm start".
 
USAGE
  $ apify run
 
OPTIONS
  -p, --purge              Shortcut that combines the --purge-queue,
                           --purge-dataset and --purge-key-value-store options.
 
  --purge-dataset          Deletes the local directory containing the default
                           dataset before the run starts.
 
  --purge-key-value-store  Deletes all records from the default key-value store
                           in the local directory before the run starts, except
                           for the "INPUT" key.
 
  --purge-queue            Deletes the local directory containing the default
                           request queue before the run starts.
 
DESCRIPTION
  It sets various APIFY_XYZ environment variables in order to provide a working 
  execution environment for the actor. For example, this causes the actor input, 
  as well as all other data in key-value stores, datasets or request queues to 
  be stored in the "apify_storage" directory, rather than on the Apify platform.
 
  NOTE: You can override the default behaviour of command overriding npm start 
  script value in a package.json file. You can set up your own main file or 
  environment variables by changing it.

apify secrets

Manages secret values for actor environment variables.
 
USAGE
  $ apify secrets
 
DESCRIPTION
  Example:
  $ apify secrets:add mySecret TopSecretValue123
 
  Now the "mySecret" value can be used in an environment variable defined in 
  "apify.json" file by adding the "@" prefix:
 
  {
     "name": "my_actor",
     "env": { "SECRET_ENV_VAR": "@mySecret" },
     "version": "0.1
  }
 
  When the actor is pushed to Apify cloud, the "SECRET_ENV_VAR" and its value is 
  stored as a secret environment variable of the actor.
 
COMMANDS
  secrets:add  Adds a new secret value.
  secrets:rm   Removes the secret.

apify vis

Validates INPUT_SCHEMA.json file and prints errors found.
 
USAGE
  $ apify vis [PATH]
 
ARGUMENTS
  PATH  Optional path to your INPUT_SCHEMA.json file. If not provided
        ./INPUT_SCHEMA.json is used.