Pricing

Pay per usage

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Apify Task Usage Reporter

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Developed by

Vít Tuhý

This actor scans your Apify account and provides a detailed summary of your platform usage and costs, broken down by task. It helps you understand which tasks consume the most resources over a specific period.

0.0 (0)

Pricing

Pay per usage

Total users

Monthly users

Runs succeeded

>99%

Last modified

3 days ago

Other

You can access the Apify Task Usage Reporter 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

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("vittuhy/apify-task-usage-reporter").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Apify Task Usage Reporter API in Python

The Apify API client for Python is the official library that allows you to use Apify Task Usage Reporter API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Apify Task Usage Reporter API in JavaScript

Apify Task Usage Reporter API through CLI

Apify Task Usage Reporter OpenAPI definition

Apify Task Usage Reporter API

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