# App Store Data & Reviews (`agentictools/app-store-intelligence`) Actor Search the Apple App Store for app metadata, ratings, price, and recent reviews. No API key. - **URL**: https://apify.com/agentictools/app-store-intelligence.md - **Developed by:** [Ken Agland](https://apify.com/agentictools) (community) - **Categories:** Business, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 ## App Store Data & Reviews Search the Apple App Store and get app metadata, ratings, price, and recent reviews. No API key. This Actor uses Apple's public iTunes Search API and the customer-reviews RSS feed. There is nothing to sign up for and no token to configure. ### What it does - Search the App Store by term and return the top matching apps. - Or look up specific apps directly by their numeric App Store ID. - Return clean metadata: name, developer, price, rating, genre, version, dates, icon, and description. - Optionally attach recent user reviews for each app. - Write an aggregate summary (apps returned, average rating, free vs paid counts) to the run OUTPUT. ### Example input ```json { "search": "notion", "limit": 3, "includeReviews": true, "reviewsPerApp": 5 } ```` Look up specific apps by ID: ```json { "appIds": [ "1232780281", "310633997" ], "country": "us" } ``` ### Input | Field | Type | Description | |---|---|---| | `search` | string | Text to search the App Store for. Leave empty if you provide `appIds`. | | `appIds` | array | Numeric App Store IDs to look up directly. Used instead of a search term. | | `country` | string | Two-letter store country code (default `us`). Controls region and currency. | | `limit` | integer | Max apps to return for a search (default 20). Ignored for ID lookups. | | `includeReviews` | boolean | Also fetch recent reviews for each app (default false). | | `reviewsPerApp` | integer | How many recent reviews to keep per app (default 10, up to 50). | ### Output Each dataset item is one app: ```json { "appId": "1232780281", "name": "Notion: Notes, Tasks, AI", "developer": "Notion Labs, Incorporated", "priceUsd": 0, "isFree": true, "averageRating": 4.78, "ratingCount": 87573, "primaryGenre": "Productivity", "version": "1.7.316", "releaseDate": "2017-09-14T19:07:31Z", "minOsVersion": "17.0", "url": "https://apps.apple.com/us/app/notion-notes-tasks-ai/id1232780281", "iconUrl": "https://is1-ssl.mzstatic.com/image/thumb/...", "description": "Notion is an AI-powered all-in-one workspace...", "reviews": [ { "author": "hp90234", "rating": 5, "title": "It's my second brain", "text": "I could not live without Notion...", "version": "1.7.316", "updatedAt": "2026-07-03T07:13:39-07:00" } ] } ``` The `reviews` array is present only when `includeReviews` is true. #### Run summary (OUTPUT) The default key-value store record `OUTPUT` holds an aggregate for the run: ```json { "appsReturned": 3, "averageRating": 4.5, "freeApps": 3, "paidApps": 0, "totalReviewsFetched": 15 } ``` ### How it works For a search, the Actor calls the iTunes Search API with `entity=software` and returns the top matches. For an ID lookup, it calls the iTunes Lookup API with the IDs you provide. When reviews are requested, it reads each app's public customer-reviews RSS feed, drops the first entry (app info), and keeps the most recent reviews. Requests retry on rate limits and server errors with backoff. It needs no API key. MIT licensed. # Actor input Schema ## `search` (type: `string`): Text to search the App Store for (for example "notion", "weather", "password manager"). Leave empty if you provide App IDs instead. ## `appIds` (type: `array`): Numeric App Store IDs to look up directly (for example "1232780281"). Use this instead of a search term when you already know the apps. ## `country` (type: `string`): Two-letter App Store country code (for example "us", "gb", "de"). Controls the store region and currency. ## `limit` (type: `integer`): Maximum number of apps to return for a search. Ignored when looking up specific App IDs. ## `includeReviews` (type: `boolean`): Also fetch recent user reviews for each app. Adds one request per app. ## `reviewsPerApp` (type: `integer`): How many recent reviews to keep per app when reviews are included. The store returns up to about 50 recent reviews per app. ## Actor input object example ```json { "search": "weather", "appIds": [ "1232780281" ], "country": "us", "limit": 20, "includeReviews": false, "reviewsPerApp": 10 } ``` # 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 = { "search": "notion" }; // Run the Actor and wait for it to finish const run = await client.actor("agentictools/app-store-intelligence").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 = { "search": "notion" } # Run the Actor and wait for it to finish run = client.actor("agentictools/app-store-intelligence").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 '{ "search": "notion" }' | apify call agentictools/app-store-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agentictools/app-store-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store Data & Reviews", "description": "Search the Apple App Store for app metadata, ratings, price, and recent reviews. No API key.", "version": "0.1", "x-build-id": "9dajTbDUKLY3wmTfu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agentictools~app-store-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agentictools-app-store-intelligence", "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/agentictools~app-store-intelligence/runs": { "post": { "operationId": "runs-sync-agentictools-app-store-intelligence", "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/agentictools~app-store-intelligence/run-sync": { "post": { "operationId": "run-sync-agentictools-app-store-intelligence", "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": { "search": { "title": "Search term", "type": "string", "description": "Text to search the App Store for (for example \"notion\", \"weather\", \"password manager\"). Leave empty if you provide App IDs instead." }, "appIds": { "title": "App IDs", "type": "array", "description": "Numeric App Store IDs to look up directly (for example \"1232780281\"). Use this instead of a search term when you already know the apps.", "default": [], "items": { "type": "string" } }, "country": { "title": "Country", "type": "string", "description": "Two-letter App Store country code (for example \"us\", \"gb\", \"de\"). Controls the store region and currency.", "default": "us" }, "limit": { "title": "Number of apps", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of apps to return for a search. Ignored when looking up specific App IDs.", "default": 20 }, "includeReviews": { "title": "Include reviews", "type": "boolean", "description": "Also fetch recent user reviews for each app. Adds one request per app.", "default": false }, "reviewsPerApp": { "title": "Reviews per app", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many recent reviews to keep per app when reviews are included. The store returns up to about 50 recent reviews per app.", "default": 10 } } }, "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 } } } } } } } } } } ```