You can access the Actor Testing 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

$echo '{
<  "testSpec": "({ it, xit, moment, _, run, expect, expectAsync, input, describe }) => {\\n    (input.resource ? [\\n        '\''beta'\'',\\n    ] : [\\n        '\''latest'\'',\\n    ]).forEach((build) => {\\n        describe(`${build} version`, () => {\\n            it('\''test something-task'\'', async () => {\\n                const runResult = await run({\\n                    taskId: '\'''\'',\\n                });\\n\\n                await expectAsync(runResult).toHaveStatus('\''SUCCEEDED'\'');\\n                await expectAsync(runResult).withLog((log) => {\\n                    expect(log)\\n                        .withContext(runResult.format('\''ReferenceError'\''))\\n                        .not.toContain('\''ReferenceError'\'');\\n                    expect(log)\\n                        .withContext(runResult.format('\''TypeError'\''))\\n                        .not.toContain('\''TypeError'\'');\\n                });\\n\\n                await expectAsync(runResult).withStatistics((stats) => {\\n                    expect(stats.requestsRetries)\\n                        .withContext(runResult.format('\''Request retries'\''))\\n                        .toBeLessThan(3);\\n\\n                    expect(stats.crawlerRuntimeMillis)\\n                        .withContext(runResult.format('\''Run time'\''))\\n                        .toBeWithinRange(0.1 * 60000, 10 * 60000);\\n                });\\n\\n                await expectAsync(runResult).withDataset(({ dataset, info }) => {\\n                    expect(info.cleanItemCount)\\n                        .withContext(runResult.format('\''Dataset cleanItemCount'\''))\\n                        .toBeGreaterThan(0);\\n\\n                    expect(dataset.items)\\n                        .withContext(runResult.format('\''Dataset items array'\''))\\n                        .toBeNonEmptyArray();\\n                });\\n            });\\n        });\\n    });\\n}",
<  "slackChannel": "#public-actors-tests-notifications",
<  "slackPrefix": "@lead-dev @actor-owner"
<}' |
<apify call pocesar/actor-testing --silent --output-dataset

Actor Testing API through CLI

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

Install the Apify CLI

$npm i -g apify-cli
$apify login

Other API clients include:

Actor Testing API in Python

Actor Testing API in JavaScript

Actor Testing OpenAPI definition

Actor Testing API

Deduplicator

mustafa.irshaid.113/deduplicator

Filters out duplicates from previous runs and outputs only new data. Perfect for scheduled scrapers or chained actors to ensure you process fresh results every time. Seamlessly integrates with any Apify actor using default dataset ID.

Mustafa Irshaid

test actor

elxin/test-actor

InvoUp

Test Actor

godofpotato/test-actor

This is a test actor do not use it!

Emir Yılmaz

Log Scanner

lukaskrivka/log-scanner

Log scanner helps you to find particular text in your log files. It can scan [Apify](https://apify.com/) runs, tasks, or actors but also arbitrary text files. If you ever had a problem finding that one error in a thousand runs, this is a tool to use.