# Actor Costs (`lukaskrivka/actor-costs`) Actor

Get costs and usage stats for your actor use aggregated daily. The actor also provides summary stats for the whole period.

- **URL**: https://apify.com/lukaskrivka/actor-costs.md
- **Developed by:** [Lukáš Křivka](https://apify.com/lukaskrivka) (community)
- **Categories:** Automation, Developer tools, Open source
- **Stats:** 38 total users, 0 monthly users, 100.0% runs succeeded, 3 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

Get costs and usage stats for your actor use aggregated daily. The actor also provides summary stats for the whole period.

It extends data available on https://console.apify.com/billing/usage with

1. Daily usage breakdown
2. Arbitrary time period with summary stats for the whole period
3. Other useful stats - `runCount`, `buildNumbers`, `statuses`, `origins`

*Important*: Run costs are attributed to a specific date based on the start time of the run. The actor does not exactly report the costs per day or month. E.g. if your run runs for 2 days, this actor will report its cost fully to the first day while https://console.apify.com/billing/usage will correctly split the usage into 2 days. The overall usage for a period should be the same.

### Example output

```json
[{
    "date": "2024-02-24",
    "runCount": 1,
    "cost": 0.0086,
    "firstRunDate": "2024-02-24T20:59:22.127Z",
    "lastRunDate": "2024-02-24T20:59:22.127Z",
    "buildNumbers": {
        "0.14.259": 1
    },
    "statuses": {
        "SUCCEEDED": 1
    },
    "origins": {
        "WEB": 1
    }
},
{
    "date": "2024-02-16",
    "runCount": 4,
    "cost": 0.0838,
    "firstRunDate": "2024-02-16T10:02:35.200Z",
    "lastRunDate": "2024-02-16T16:16:02.125Z",
    "buildNumbers": {
        "0.14.258": 2,
        "0.14.257": 2
    },
    "statuses": {
        "SUCCEEDED": 1,
        "FAILED": 1,
        "ABORTED": 2
    },
    "origins": {
        "WEB": 4
    }
}]
```

If you select `getCostBreakdown`, you will receive a detailed breakdown of the costs associated, it can be both platform resources or charged events.

#### Detailed pay-per-compute costs

```json
{
    "costDetail": {
		"ACTOR_COMPUTE_UNITS": 1.1774,
		"DATASET_READS": 0,
		"DATASET_WRITES": 0.01,
		"KEY_VALUE_STORE_READS": 0,
		"KEY_VALUE_STORE_WRITES": 0.1006,
		"KEY_VALUE_STORE_LISTS": 0,
		"REQUEST_QUEUE_READS": 0.2793,
		"REQUEST_QUEUE_WRITES": 0.0997,
		"DATA_TRANSFER_INTERNAL_GBYTES": 0.0051,
		"DATA_TRANSFER_EXTERNAL_GBYTES": 0.0036,
		"PROXY_RESIDENTIAL_TRANSFER_GBYTES": 0,
		"PROXY_SERPS": 0
	},
	"usageDetail": {
		"ACTOR_COMPUTE_UNITS": 2.9434,
		"DATASET_READS": 0,
		"DATASET_WRITES": 2000,
		"KEY_VALUE_STORE_READS": 2,
		"KEY_VALUE_STORE_WRITES": 2011,
		"KEY_VALUE_STORE_LISTS": 0,
		"REQUEST_QUEUE_READS": 69833,
		"REQUEST_QUEUE_WRITES": 4983,
		"DATA_TRANSFER_INTERNAL_GBYTES": 0.1014,
		"DATA_TRANSFER_EXTERNAL_GBYTES": 0.0179,
		"PROXY_RESIDENTIAL_TRANSFER_GBYTES": 0,
		"PROXY_SERPS": 0
	}
}
```

#### Detailed pay-per-event costs

```json
{
    "accountedChargedEventCounts": {
        "actor-start": 33,
        "place-scraped": 553255,
        "filter-applied": 247260,
        "place-details-scraped": 139469,
        "contact-details-scraped": 53091,
        "lead-scraped": 256234,
        "review-scraped": 0,
        "image-scraped": 0
    },
    "chargedEventsCosts": {
        "actor-start": 0.231,
        "place-scraped": 2213.02,
        "filter-applied": 247.26,
        "place-details-scraped": 278.938,
        "contact-details-scraped": 106.182,
        "lead-scraped": 1281.17,
        "review-scraped": 0,
        "image-scraped": 0
    }
}
```

# Actor input Schema

## `actorIdOrName` (type: `string`):

Actor ID or full name

## `onlyRunsNewerThan` (type: `string`):

Measured by when the run was started. Use JSON input to specify date with a time in ISO format, e.g. "2024-01-01T12:00:00"

## `onlyRunsOlderThan` (type: `string`):

Measured by when the run was started. Use JSON input to specify date with a time in ISO format, e.g. "2024-01-01T12:00:00"

## `getCostBreakdown` (type: `boolean`):

Very slow since we need to request each run separately

## `getDatasetItemCount` (type: `boolean`):

Very slow since we need to request each run separately

## `parallelCalls` (type: `integer`):

Number of parallel calls to the Apify API to speed up processing. Increasing this number might trigger rate limit warnings. If you see such warnings in the log, reduce the number.

## Actor input object example

```json
{
  "actorIdOrName": "apify/web-scraper",
  "getCostBreakdown": false,
  "getDatasetItemCount": false,
  "parallelCalls": 5
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "actorIdOrName": "apify/web-scraper"
};

// Run the Actor and wait for it to finish
const run = await client.actor("lukaskrivka/actor-costs").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "actorIdOrName": "apify/web-scraper" }

# Run the Actor and wait for it to finish
run = client.actor("lukaskrivka/actor-costs").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "actorIdOrName": "apify/web-scraper"
}' |
apify call lukaskrivka/actor-costs --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lukaskrivka/actor-costs"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/jqaOGxd9jX4zDX3X9/builds/QIjSjfbMRNxWykJZh/openapi.json