# App Store Scraper (`flipper_ai/app-store-scraper`) Actor Scrape Apple App Store apps and customer reviews into structured data — metadata, ratings, pricing, and reviews. Official Apple endpoints, no API key. - **URL**: https://apify.com/flipper\_ai/app-store-scraper.md - **Developed by:** [Josh Baker](https://apify.com/flipper_ai) (community) - **Categories:** E-commerce, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 1,000 results 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 🍎 **Pull Apple App Store data — app metadata *and* customer reviews — into clean, structured data. No API key, no blocking.** Give it a search term or an app ID and get back every app with **name, developer, category, price, average rating, rating count, version, description, screenshots, and a direct link** — plus **customer reviews** (star rating, title, text, author, app version, date) when you want them. Runs on **Apple's own public endpoints**, so it's fast and reliable — no proxies fighting a wall, no login, no key. --- ### ✅ Why people use it - 🔎 **Find apps by keyword** or scrape specific apps by ID/URL - ⭐ **Metadata + reviews** — ratings, pricing, versions, and full customer reviews - 🌎 **Any storefront** — pick the country (us, gb, de, …); reviews are per-country - 📤 **Export anywhere** — JSON / CSV / Excel download or API - 🔁 **Schedule it** — track a competitor's rating and new reviews over time - 🛡️ **Reliable** — official Apple endpoints, no API key required --- ### 🚀 Quick start (30 seconds) 1. Enter one or more **search terms** (e.g. `photo editor`) **or** **App IDs / URLs** 2. Pick a **country** and how many **reviews per app** you want 3. Click **Start** --- ### 📤 Example output **App:** ```json { "type": "app", "id": 389801252, "appName": "Instagram", "developer": "Instagram, Inc.", "primaryGenre": "Photo & Video", "price": 0, "averageRating": 4.69, "ratingCount": 29218424, "version": "300.0", "url": "https://apps.apple.com/us/app/instagram/id389801252" } ```` **Review** (`type: "review"`): ```json { "type": "review", "appId": 389801252, "rating": 5, "title": "Love it", "body": "Best way to keep up with friends...", "userName": "photofan_92", "appVersion": "300.0", "updated": "2026-06-30T12:00:00-07:00" } ``` *** ### 🎯 Perfect for - **ASO & app marketers** — track ratings, mine reviews for keywords and complaints - **Product teams** — competitor review analysis, feature requests, bug signals - **Market researchers** — category pricing, rating distributions, release cadence - **Developers** — a clean App Store feed without the official (gated) APIs *** ### 💡 FAQ **Do I need an Apple developer account or API key?** No — it uses Apple's public endpoints. **How many reviews can I get?** Apple exposes up to ~500 recent reviews per app per country (10 pages × 50). Set **Max reviews per app** to whatever you need up to that. **Are reviews guaranteed?** App **metadata is always complete** (name, developer, category, price, rating average, rating count, version, description, screenshots, dates). **Reviews are best-effort**: they come from Apple's public review feed, which is per-storefront and is sometimes empty for a given app/country even when it has thousands of ratings. If reviews come back empty, try a different `country` (e.g. `gb`) or re-run — Apple's feed is inconsistent. If you only need app data and ratings, turn **Include reviews** off. **Is this legal?** It reads publicly available data from Apple's endpoints. You're responsible for how you use the data and for complying with applicable laws and terms. *** ### 🛠️ Input reference | Field | Description | |---|---| | `searchTerms` | Keywords to find apps | | `appIds` | Specific app IDs or App Store URLs | | `country` | Two-letter storefront code (default `us`) | | `maxAppsPerSearch` | Apps per search term (max 200) | | `includeReviews` / `maxReviewsPerApp` | Also pull reviews, capped per app (max 500) | | `reviewsSort` | Most recent or most helpful | | `proxyConfiguration` | Optional — default Apify Proxy is plenty | *** *Not affiliated with, endorsed by, or sponsored by Apple Inc. "App Store" and "Apple" are trademarks of Apple Inc.* # Actor input Schema ## `searchTerms` (type: `array`): Keywords to search the App Store for apps. E.g. 'photo editor', 'budget tracker'. ## `appIds` (type: `array`): Specific apps to scrape — numeric App Store IDs (e.g. 389801252) or full App Store URLs. ## `country` (type: `string`): Two-letter App Store country code (us, gb, de, ca, au, ...). Reviews and availability are per-storefront. ## `maxAppsPerSearch` (type: `integer`): How many apps to return per search term (Apple allows up to 200). ## `includeReviews` (type: `boolean`): Also scrape each app's customer reviews (rating, title, text, author, version). ## `maxReviewsPerApp` (type: `integer`): Cap reviews per app. Apple exposes up to ~500 recent reviews per storefront (10 pages of 50). ## `reviewsSort` (type: `string`): Sort reviews by most recent or most helpful. ## `proxyConfiguration` (type: `object`): Optional. Apple's public endpoints don't block, so the default Apify Proxy is plenty — no residential needed. ## Actor input object example ```json { "searchTerms": [ "habit tracker", "vpn" ], "appIds": [ "389801252", "https://apps.apple.com/us/app/instagram/id389801252" ], "country": "us", "maxAppsPerSearch": 10, "includeReviews": true, "maxReviewsPerApp": 100, "reviewsSort": "mostrecent", "proxyConfiguration": { "useApifyProxy": true } } ``` # 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": [ "photo editor" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("flipper_ai/app-store-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": ["photo editor"], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("flipper_ai/app-store-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": [ "photo editor" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call flipper_ai/app-store-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=flipper_ai/app-store-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store Scraper", "description": "Scrape Apple App Store apps and customer reviews into structured data — metadata, ratings, pricing, and reviews. Official Apple endpoints, no API key.", "version": "0.1", "x-build-id": "24x1BzyAmDPXomMYa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/flipper_ai~app-store-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-flipper_ai-app-store-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/flipper_ai~app-store-scraper/runs": { "post": { "operationId": "runs-sync-flipper_ai-app-store-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/flipper_ai~app-store-scraper/run-sync": { "post": { "operationId": "run-sync-flipper_ai-app-store-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "proxyConfiguration" ], "properties": { "searchTerms": { "title": "Search terms", "type": "array", "description": "Keywords to search the App Store for apps. E.g. 'photo editor', 'budget tracker'.", "items": { "type": "string" } }, "appIds": { "title": "App IDs or URLs", "type": "array", "description": "Specific apps to scrape — numeric App Store IDs (e.g. 389801252) or full App Store URLs.", "items": { "type": "string" } }, "country": { "title": "Country storefront", "type": "string", "description": "Two-letter App Store country code (us, gb, de, ca, au, ...). Reviews and availability are per-storefront.", "default": "us" }, "maxAppsPerSearch": { "title": "Max apps per search term", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many apps to return per search term (Apple allows up to 200).", "default": 10 }, "includeReviews": { "title": "Include reviews", "type": "boolean", "description": "Also scrape each app's customer reviews (rating, title, text, author, version).", "default": true }, "maxReviewsPerApp": { "title": "Max reviews per app", "minimum": 0, "maximum": 500, "type": "integer", "description": "Cap reviews per app. Apple exposes up to ~500 recent reviews per storefront (10 pages of 50).", "default": 100 }, "reviewsSort": { "title": "Reviews sort", "enum": [ "mostrecent", "mosthelpful" ], "type": "string", "description": "Sort reviews by most recent or most helpful.", "default": "mostrecent" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional. Apple's public endpoints don't block, so the default Apify Proxy is plenty — no residential needed.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```