You can access the dummy-actor programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

$echo '{
<  "url": "https://www.apify.com/"
<}' |
<apify call knowing_didgeridoo/dummy-actor --silent --output-dataset

dummy-actor API through CLI

The Apify CLI is the official tool that allows you to use dummy-actor locally, providing convenience functions and automatic retries on errors.

Install the Apify CLI

$npm i -g apify-cli
$apify login

Other API clients include:

dummy-actor API in Python

dummy-actor API in JavaScript

dummy-actor OpenAPI definition

dummy-actor API

My Actor 2

accommodating_swimsuit/my-actor-2

The second best actor.

filip_alias

My Actor

accommodating_swimsuit/my-actor

This is the best actor in the universe.

filip_alias

My Actor 1

flattered_kettle/my-actor-1

This is the best actor in the world.

Filip Cicvárek

Random Fail Actor

lpriban/random-fail-actor

In 10% of cases, the run fails. If it succeeds, there’s a 20% chance you’ll get no results, and otherwise you’ll get between 1 and 100 random results.

Lukas Priban

Example actor paid per result

mhamas/example-actor-paid-per-result

This is an example actor demonstrating "pay per result" model. When you run this actor, you are only charged for the results it produces, not for the underlying platform usage.