# Tableau Dashboard Refresher (`zuzka/tableau-refresher`) Actor Do you have a Google Sheets dashboard on Tableau Public, but only automatically refreshing it once a day is not enough for you? Refresh your Tableau Public dashboards as many times a day as you need with this handy free automation tool by Apify. - **URL**: https://apify.com/zuzka/tableau-refresher.md - **Developed by:** [Zuzka PelechovΓ‘](https://apify.com/zuzka) (community) - **Categories:** Automation, Developer tools - **Stats:** 10 total users, 0 monthly users, 0.0% 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 ### What does Tableau Dashboard Refresher do? Tableau Public only lets you refresh your dashboards automatically once a day. If refreshing your Tableau dashboards once a day is not enough, and a Tableau subscription is too pricey and otherwise unnecessary for you, then this free tool is exactly what you need. Tableau Dashboard Refresher allows you to refresh your Tableau dashboards as many times a day as you want. It does it automatically, even when you are away. ### What is Tableau? Tableau is an analytics platform that makes visualizing your data effortless. Visualizations help you understand your data better and uncover insights to improve your business. Tableau connects to your database through a dashboard and shows you your data in a graphically appealing and easy-to-read format. Take Google Sheets, for example. You can insert a large amount of data on multiple spreadsheets, and you might need to present it to clients or colleagues. Tableau connects to your spreadsheets and displays your data through impactful graphs and charts. ### How much will Tableau Dashboard Refresher cost to use? Tableau Dashboard Refresher consumes 0.02 [compute units](https://help.apify.com/en/articles/3490384-what-is-a-compute-unit) for one refresh; therefore, 1,000 refreshes = 2CUs, amounting to 0.5$. In other words, you can refresh your dashboard every hour for a month for less than half a dollar! ### Input All the actor needs are the URL for the dashboard you want to refresh and your Tableau Public account credentials. The actor will use this information to log into your Tableau Public repository, refresh the page and click `request data refresh`. ```json { "url": "https://public.tableau.com/app/profile/pablolgomez/viz/HappinessintheWorld_16245341657220/WHR", "email": "my.email@example.com", "password": "my_password_to_tableau" } ```` # Actor input Schema ## `url` (type: `string`): Tableau public URL where you want to update the dashboard/ request data update automatically. ## `email` (type: `string`): Email to your account in Tableau public. ## `password` (type: `string`): Password to your account in Tableau public. ## Actor input object example ```json { "url": "https://public.tableau.com/app/profile/pablolgomez/viz/HappinessintheWorld_16245341657220/WHR", "email": "my.email@example.com", "password": "my_password_to_tableau" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "url": "https://public.tableau.com/app/profile/pablolgomez/viz/HappinessintheWorld_16245341657220/WHR", "email": "my.email@example.com", "password": "my_password_to_tableau" }; // Run the Actor and wait for it to finish const run = await client.actor("zuzka/tableau-refresher").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "url": "https://public.tableau.com/app/profile/pablolgomez/viz/HappinessintheWorld_16245341657220/WHR", "email": "my.email@example.com", "password": "my_password_to_tableau", } # Run the Actor and wait for it to finish run = client.actor("zuzka/tableau-refresher").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "url": "https://public.tableau.com/app/profile/pablolgomez/viz/HappinessintheWorld_16245341657220/WHR", "email": "my.email@example.com", "password": "my_password_to_tableau" }' | apify call zuzka/tableau-refresher --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=zuzka/tableau-refresher", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tableau Dashboard Refresher", "description": "Do you have a Google Sheets dashboard on Tableau Public, but only automatically refreshing it once a day is not enough for you? Refresh your Tableau Public dashboards as many times a day as you need with this handy free automation tool by Apify.", "version": "0.0", "x-build-id": "oEMjDAUXqSNvhwXnD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/zuzka~tableau-refresher/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-zuzka-tableau-refresher", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/zuzka~tableau-refresher/runs": { "post": { "operationId": "runs-sync-zuzka-tableau-refresher", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/zuzka~tableau-refresher/run-sync": { "post": { "operationId": "run-sync-zuzka-tableau-refresher", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "url", "email", "password" ], "properties": { "url": { "title": "URL", "type": "string", "description": "Tableau public URL where you want to update the dashboard/ request data update automatically." }, "email": { "title": "Email", "type": "string", "description": "Email to your account in Tableau public." }, "password": { "title": "Password", "type": "string", "description": "Password to your account in Tableau public." } } }, "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 } } } } } } } } } } ```