# 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:** [Lukรกลก Kล™ivka](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/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 '' with your token const client = new ApifyClient({ 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(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 '' with your token. client = ApifyClient("") # 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("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lukaskrivka/actor-costs", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Actor Costs", "description": "Get costs and usage stats for your actor use aggregated daily. The actor also provides summary stats for the whole period.", "version": "0.0", "x-build-id": "QIjSjfbMRNxWykJZh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lukaskrivka~actor-costs/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lukaskrivka-actor-costs", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lukaskrivka~actor-costs/runs": { "post": { "operationId": "runs-sync-lukaskrivka-actor-costs", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lukaskrivka~actor-costs/run-sync": { "post": { "operationId": "run-sync-lukaskrivka-actor-costs", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "actorIdOrName" ], "properties": { "actorIdOrName": { "title": "Actor ID or full name", "type": "string", "description": "Actor ID or full name" }, "onlyRunsNewerThan": { "title": "Only runs newer than date", "type": "string", "description": "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": { "title": "Only runs older than date", "type": "string", "description": "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": { "title": "Get cost breakdown by usage type (1000x slower!)", "type": "boolean", "description": "Very slow since we need to request each run separately", "default": false }, "getDatasetItemCount": { "title": "Get dataset item count (1000x slower!)", "type": "boolean", "description": "Very slow since we need to request each run separately", "default": false }, "parallelCalls": { "title": "Number of parallel calls for cost breakdown", "minimum": 1, "type": "integer", "description": "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.", "default": 5 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```