# Storage Cleaner (`useful-tools/storage-cleaner`) Actor Storage cleaner is a tool to delete all your Storage types (Datasets, Key-Value storages and Request queues) on your Apify user account based on the amount of days since they were last accessed. - **URL**: https://apify.com/useful-tools/storage-cleaner.md - **Developed by:** [Useful tools](https://apify.com/useful-tools) (community) - **Categories:** Automation, Developer tools - **Stats:** 49 total users, 9 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: 5.00 out of 5 stars ## 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 Storage Cleaner do? Storage cleaner is a tool to delete all your Storage types (Datasets, Key-Value storages and Request queues) on your Apify user account based on the amount of days since they were last accessed. ### Input parameters You can either use the user-friendly UI in Apify Console to set up your actor or input it directly via JSON. Storage Cleaner recognizes these fields: - `deleteAfterDays` - Sets the minimum limit value for Storages to be last accessed, otherwise they will be deleted. - `forceDelete` - When unchecked/`false` it will only provide log of Storages that were filtered based on `deleteAfterDay` value. If checked/`true` - the storages will be really deleted. - `storageType` - Type of storage to delete. Allowed values are: - `"DATASET"` - To delete only Dataset storages. - `"KEY_VALUE"` - To delete only Key-value storages. - `"REQUEST_QUEUE"` - To delete only Request queues. - `"ALL"` - To delete all previous mentioned. Here are examples of the schema in JSON for the various types of input: #### Delete all Storages that were last accessed more than 1 week (7 days) ago: ```json { "deleteAfterDays": 7, "forceDelete": true, "storageType": "ALL" } ```` ### Your feedback We're always working on improving the performance of our actors. So if you've got any technical feedback on Storage Scraper, or simply **found a bug,** please create an issue on the actor's [Issues tab](https://console.apify.com/actors/todo#/issues) in Apify Console. # Actor input Schema ## `deleteAfterDays` (type: `integer`): Number of days after which all selected storages will be deleted ## `forceDelete` (type: `boolean`): If checked it will really delete the storages, otherwise it will just log on output. ## `deleteUnnamedStorages` (type: `boolean`): If checked it will delete not only named storages but also unnamed storages ## `storageType` (type: `string`): Select your storage type to remove ## Actor input object example ```json { "deleteAfterDays": 90, "forceDelete": false, "deleteUnnamedStorages": false, "storageType": "ALL" } ``` # 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 = { "deleteAfterDays": 90, "storageType": "ALL" }; // Run the Actor and wait for it to finish const run = await client.actor("useful-tools/storage-cleaner").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 = { "deleteAfterDays": 90, "storageType": "ALL", } # Run the Actor and wait for it to finish run = client.actor("useful-tools/storage-cleaner").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 '{ "deleteAfterDays": 90, "storageType": "ALL" }' | apify call useful-tools/storage-cleaner --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=useful-tools/storage-cleaner", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Storage Cleaner", "description": "Storage cleaner is a tool to delete all your Storage types (Datasets, Key-Value storages and Request queues) on your Apify user account based on the amount of days since they were last accessed.", "version": "0.0", "x-build-id": "IQPp8XtFrj9WobvVM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/useful-tools~storage-cleaner/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-useful-tools-storage-cleaner", "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~storage-cleaner/runs": { "post": { "operationId": "runs-sync-useful-tools-storage-cleaner", "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~storage-cleaner/run-sync": { "post": { "operationId": "run-sync-useful-tools-storage-cleaner", "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": [ "deleteAfterDays", "storageType" ], "properties": { "deleteAfterDays": { "title": "Delete after days", "type": "integer", "description": "Number of days after which all selected storages will be deleted", "default": 90 }, "forceDelete": { "title": "Force delete", "type": "boolean", "description": "If checked it will really delete the storages, otherwise it will just log on output.", "default": false }, "deleteUnnamedStorages": { "title": "Delete unnamed storages", "type": "boolean", "description": "If checked it will delete not only named storages but also unnamed storages", "default": false }, "storageType": { "title": "Storage Type", "enum": [ "DATASET", "KEY_VALUE", "REQUEST_QUEUE", "ALL" ], "type": "string", "description": "Select your storage type to remove", "default": "ALL" } } }, "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 } } } } } } } } } } ```