# App Store Scraper (`blazing_stake/appstore-scraper`) Actor Scrape Apple App Store app details and customer reviews via official iTunes API. Search by keyword or app ID, across any country. Fast JSON, no browser. - **URL**: https://apify.com/blazing\_stake/appstore-scraper.md - **Developed by:** [Mehmet Kut](https://apify.com/blazing_stake) (community) - **Categories:** Developer tools, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $10.00 / 1,000 app scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 Scraper Scrape **Apple App Store** app details and customer reviews at scale — using Apple's official iTunes API and Reviews feed. Clean JSON data, no HTML parsing, blazing fast. ### 🎯 What it does **Search** apps by keyword or **fetch** specific apps by ID, and for each app get: - Full metadata: name, developer, category, price, version, size, content rating - **Ratings**: average rating, total rating count, current-version rating - **Customer reviews**: rating, title, text, author, version, date (up to 500/app) - Description, release notes, screenshots, icon, supported languages - Release date + last updated date Works across **any country storefront** (us, gb, tr, de, jp, …). ### 💡 Use cases - **App Store Optimization (ASO)** — track ratings, reviews, keywords across competitors - **Competitor monitoring** — watch rival apps' ratings and user sentiment - **Review analysis / sentiment** — feed reviews into LLMs for insight mining - **Market research** — analyze a category's top apps - **Lead generation** — find app developers in a niche ### 📥 Input | Field | Type | Description | |-------|------|-------------| | `searchTerms` | array | Keywords to search the store | | `appIds` | array | Specific numeric App Store IDs | | `country` | string | Storefront code (us, gb, tr…) | | `includeReviews` | boolean | Fetch reviews (default true) | | `maxReviewsPerApp` | integer | Reviews per app (default 100) | | `searchLimit` | integer | Apps per search term (default 20) | #### Example input ```json { "searchTerms": ["habit tracker"], "country": "us", "includeReviews": true, "maxReviewsPerApp": 100 } ```` ### 📤 Output ```json { "appId": "310633997", "name": "WhatsApp Messenger", "developer": "WhatsApp Inc.", "category": "Social Networking", "rating": 4.69, "ratingCount": 18194258, "price": 0, "version": "2.24.x", "reviews": [ { "rating": 5, "title": "Great app", "text": "...", "author": "user123", "date": "2026-07-01" } ], "reviewsCount": 100 } ``` ### ⚡ Performance Uses Apple's JSON endpoints directly — no browser, no HTML scraping. Fetches an app + 100 reviews in seconds. # Actor input Schema ## `searchTerms` (type: `array`): Keywords to search the App Store (e.g. 'fitness', 'budget app'). Each term returns multiple apps. ## `appIds` (type: `array`): Specific App Store numeric IDs to scrape directly (e.g. 310633997 for WhatsApp). Find the ID in any App Store URL. ## `country` (type: `string`): Two-letter country code for the App Store storefront (us, gb, tr, de, etc.). ## `includeReviews` (type: `boolean`): Fetch customer reviews for each app. ## `maxReviewsPerApp` (type: `integer`): Maximum number of reviews to fetch per app (up to ~500). ## `searchLimit` (type: `integer`): How many apps to return for each search term. ## Actor input object example ```json { "searchTerms": [ "meditation", "photo editor" ], "appIds": [ "310633997", "544007664" ], "country": "us", "includeReviews": true, "maxReviewsPerApp": 100, "searchLimit": 20 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "searchTerms": [ "habit tracker" ] }; // Run the Actor and wait for it to finish const run = await client.actor("blazing_stake/appstore-scraper").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 = { "searchTerms": ["habit tracker"] } # Run the Actor and wait for it to finish run = client.actor("blazing_stake/appstore-scraper").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 '{ "searchTerms": [ "habit tracker" ] }' | apify call blazing_stake/appstore-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blazing_stake/appstore-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store Scraper", "description": "Scrape Apple App Store app details and customer reviews via official iTunes API. Search by keyword or app ID, across any country. Fast JSON, no browser.", "version": "0.1", "x-build-id": "YM0x4oQXrKsAtZ5t3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blazing_stake~appstore-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blazing_stake-appstore-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/blazing_stake~appstore-scraper/runs": { "post": { "operationId": "runs-sync-blazing_stake-appstore-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/blazing_stake~appstore-scraper/run-sync": { "post": { "operationId": "run-sync-blazing_stake-appstore-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchTerms": { "title": "Search terms", "type": "array", "description": "Keywords to search the App Store (e.g. 'fitness', 'budget app'). Each term returns multiple apps.", "items": { "type": "string" } }, "appIds": { "title": "App IDs (optional)", "type": "array", "description": "Specific App Store numeric IDs to scrape directly (e.g. 310633997 for WhatsApp). Find the ID in any App Store URL.", "items": { "type": "string" } }, "country": { "title": "Country / storefront", "type": "string", "description": "Two-letter country code for the App Store storefront (us, gb, tr, de, etc.).", "default": "us" }, "includeReviews": { "title": "Include reviews", "type": "boolean", "description": "Fetch customer reviews for each app.", "default": true }, "maxReviewsPerApp": { "title": "Max reviews per app", "minimum": 0, "maximum": 500, "type": "integer", "description": "Maximum number of reviews to fetch per app (up to ~500).", "default": 100 }, "searchLimit": { "title": "Apps per search term", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many apps to return for each search term.", "default": 20 } } }, "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 } } } } } } } } } } ```