# Wait and Finish (`useful-tools/wait-and-finish`) Actor Simple Actor that will just wait and then finishes. Mostly used for testing integration purposes... - **URL**: https://apify.com/useful-tools/wait-and-finish.md - **Developed by:** [Useful tools](https://apify.com/useful-tools) (community) - **Categories:** Automation, Developer tools - **Stats:** 20 total users, 4 monthly users, 100.0% runs succeeded, 4 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 ### Wait and finish actor Simple Actor that will just wait for random time from interval between `minWaitTime` and `maxWaitTime`, [provide Dataset items](https://docs.apify.com/platform/storage/dataset), [Actor's OUTPUT](https://docs.apify.com/academy/api/run-actor-and-retrieve-data-via-api#synchronous-runs-with-key-value-store-output) and also [may FAIL](https://docs.apify.com/platform/actors/running/runs-and-builds#lifecycle). Example of Actor's input: ```json { "minWaitTime": 10000, "maxWaitTime": 20000, "dataset": { "items": [ { "id": 1, "text": "My first item" }, { "id": 2, "text": "My second item" } ] }, "output": { "outputMessage": "Actor finished" }, "fail": "" } ```` None these attributes are required. # Actor input Schema ## `minWaitTime` (type: `integer`): Lower bound for the Actor's waiting time. ## `maxWaitTime` (type: `integer`): Upper bound for the Actor's waiting time. ## `fail` (type: `string`): If filled - Actor will fail with specific error message. ## `dataset` (type: `object`): If filled - Actor will produce specific items into Dataset. ## `output` (type: `object`): If filled - Actor will produce specific OUTPUT. ## `statusMessage` (type: `string`): If filled - Actor set specific Status message. ## Actor input object example ```json { "fail": "", "dataset": { "id": null, "items": [ { "id": 1, "text": "My first item" }, { "id": 2, "text": "My second item" } ] }, "output": { "outputMessage": "Actor finished" }, "statusMessage": "" } ``` # 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 = { "fail": "", "dataset": { "id": null, "items": [ { "id": 1, "text": "My first item" }, { "id": 2, "text": "My second item" } ] }, "output": { "outputMessage": "Actor finished" }, "statusMessage": "" }; // Run the Actor and wait for it to finish const run = await client.actor("useful-tools/wait-and-finish").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "fail": "", "dataset": { "id": None, "items": [ { "id": 1, "text": "My first item", }, { "id": 2, "text": "My second item", }, ], }, "output": { "outputMessage": "Actor finished" }, "statusMessage": "", } # Run the Actor and wait for it to finish run = client.actor("useful-tools/wait-and-finish").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "fail": "", "dataset": { "id": null, "items": [ { "id": 1, "text": "My first item" }, { "id": 2, "text": "My second item" } ] }, "output": { "outputMessage": "Actor finished" }, "statusMessage": "" }' | apify call useful-tools/wait-and-finish --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=useful-tools/wait-and-finish", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wait and Finish", "description": "Simple Actor that will just wait and then finishes. Mostly used for testing integration purposes...", "version": "0.0", "x-build-id": "fknlIpqeEaaQAoa8x" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/useful-tools~wait-and-finish/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-useful-tools-wait-and-finish", "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/useful-tools~wait-and-finish/runs": { "post": { "operationId": "runs-sync-useful-tools-wait-and-finish", "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/useful-tools~wait-and-finish/run-sync": { "post": { "operationId": "run-sync-useful-tools-wait-and-finish", "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", "properties": { "minWaitTime": { "title": "Minimum waiting time", "type": "integer", "description": "Lower bound for the Actor's waiting time." }, "maxWaitTime": { "title": "Maximum waiting time", "type": "integer", "description": "Upper bound for the Actor's waiting time." }, "fail": { "title": "fail", "type": "string", "description": "If filled - Actor will fail with specific error message.", "default": "" }, "dataset": { "title": "Dataset items", "type": "object", "description": "If filled - Actor will produce specific items into Dataset." }, "output": { "title": "Output", "type": "object", "description": "If filled - Actor will produce specific OUTPUT." }, "statusMessage": { "title": "Status Message", "type": "string", "description": "If filled - Actor set specific Status message.", "default": "" } } }, "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 } } } } } } } } } } ```