# Apple App Store Scraper - Apps, Ratings & Prices (`fascinating_lentil/apple-app-store-scraper`) Actor Scrape Apple App Store apps by search term or app ID. Extract names, developers, ratings, prices, genres, versions, screenshots, and descriptions. No login or API key needed. - **URL**: https://apify.com/fascinating\_lentil/apple-app-store-scraper.md - **Developed by:** [Md Jakaria Mirza](https://apify.com/fascinating_lentil) (community) - **Categories:** Developer tools, E-commerce, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 ## Apple App Store Scraper - Apps, Ratings & Prices Scrape **app data from the Apple App Store** - no login, no API key required. Search by keyword or look up specific apps by ID to extract names, developers, ratings, review counts, prices, genres, versions, content ratings, screenshots, descriptions, and release dates. Choose any country storefront. Export to **JSON, CSV, Excel, or HTML**, or pull via the Apify API. Perfect for **app store optimization (ASO), competitor tracking, market research, and app intelligence**. ### Features - ✅ **No login or API key** - uses Apple's public iTunes Search API - ✅ **Search or lookup** - by keyword(s) or specific app ID(s) - ✅ **iPhone, iPad, or Mac apps** - ✅ **Any country storefront** - `us`, `gb`, `in`, `de`, and more - ✅ **Rich metadata** - rating, rating count, price, genre, version, min OS, size, screenshots, languages - ✅ **Fast & lightweight** - pure JSON, no headless browser ### Input | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | `searchTerms` | `string[]` | Keywords to search, e.g. `"weather"` | `["weather"]` | | `appIds` | `string[]` | Specific App Store app IDs (numeric trackId) | `[]` | | `entity` | `string` | `software` (iPhone), `iPadSoftware`, `macSoftware` | `software` | | `country` | `string` | Two-letter storefront code | `us` | | `maxResultsPerTerm` | `integer` | Max apps per search term (App Store caps at 200) | `50` | | `proxyConfiguration` | `object` | Proxy (helps avoid rate limits on large runs) | Apify Proxy | #### Example input ```json { "searchTerms": ["photo editor", "vpn"], "appIds": ["284882215"], "entity": "software", "country": "us", "maxResultsPerTerm": 100 } ```` ### Sample output ```json { "appId": 284882215, "appName": "Facebook", "bundleId": "com.facebook.Facebook", "developer": "Meta Platforms, Inc.", "price": 0, "formattedPrice": "Free", "currency": "USD", "rating": 4.52, "ratingCount": 26725013, "primaryGenre": "Social Networking", "genres": ["Social Networking"], "contentRating": "12+", "version": "565.0.0", "minimumOsVersion": "15.1", "fileSizeBytes": 473668608, "appStoreUrl": "https://apps.apple.com/us/app/facebook/id284882215", "artworkUrl": "https://is1-ssl.mzstatic.com/.../512x512bb.jpg", "screenshotUrls": ["https://is1-ssl.mzstatic.com/..."], "languages": ["EN", "ES", "FR", "DE", "JA"], "description": "Where real people propel your curiosity...", "releaseDate": "2019-02-05T08:00:00Z", "currentVersionReleaseDate": "2026-06-09T08:43:05Z", "country": "us", "scrapedAt": "2026-06-11T10:00:00.000Z" } ``` ### Pricing This Actor uses **pay-per-result** pricing: | Event | Price | |-------|-------| | Per app scraped | **$0.002** ($2 / 1,000 apps) | You are only charged for apps actually returned. Apify platform usage is billed separately by Apify. ### Use cases - **App Store Optimization (ASO)** - track keyword rankings and competitor metadata - **Competitor monitoring** - watch ratings, versions, and pricing over time - **Market research** - analyze genres, pricing models, and developer portfolios - **App intelligence** - build datasets across categories and storefronts ### How to Scrape the Apple App Store (Step by Step) 1. Click **Try for free** / **Run**. 2. Enter keywords in `searchTerms` (e.g. `photo editor`) or specific numeric app IDs in `appIds`. 3. Choose the `entity` (iPhone, iPad, or Mac apps) and the `country` storefront. 4. Set `maxResultsPerTerm` (start small to test; the App Store caps at 200). 5. Run the Actor, then export results as JSON, CSV, Excel, or HTML, or pull them via the Apify API. ### Tips - App IDs are the numeric `id` in an App Store URL (e.g. `id284882215`). - Use `country` to compare the same app across storefronts. - Pairs well with a Google Play scraper for cross-platform app intelligence. ### License Apache-2.0 # Actor input Schema ## `searchTerms` (type: `array`): Keywords to search the App Store, e.g. "weather", "photo editor". ## `appIds` (type: `array`): Specific App Store app IDs to look up (the numeric trackId, e.g. 284882215). Comma lists are batched. ## `entity` (type: `string`): Which kind of apps to return. ## `country` (type: `string`): Two-letter App Store country code (e.g. "us", "gb", "in"). ## `maxResultsPerTerm` (type: `integer`): Maximum apps to return per search term (App Store API caps at 200). ## `proxyConfiguration` (type: `object`): Proxy settings. The iTunes API is generally open; enable proxies to avoid rate limits on large runs. ## Actor input object example ```json { "searchTerms": [ "weather" ], "appIds": [], "entity": "software", "country": "us", "maxResultsPerTerm": 50, "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": [ "weather" ] }; // Run the Actor and wait for it to finish const run = await client.actor("fascinating_lentil/apple-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": ["weather"] } # Run the Actor and wait for it to finish run = client.actor("fascinating_lentil/apple-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": [ "weather" ] }' | apify call fascinating_lentil/apple-app-store-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fascinating_lentil/apple-app-store-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apple App Store Scraper - Apps, Ratings & Prices", "description": "Scrape Apple App Store apps by search term or app ID. Extract names, developers, ratings, prices, genres, versions, screenshots, and descriptions. No login or API key needed.", "version": "1.0", "x-build-id": "cuiWTyM4SN60tGgUd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fascinating_lentil~apple-app-store-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fascinating_lentil-apple-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fascinating_lentil~apple-app-store-scraper/runs": { "post": { "operationId": "runs-sync-fascinating_lentil-apple-app-store-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fascinating_lentil~apple-app-store-scraper/run-sync": { "post": { "operationId": "run-sync-fascinating_lentil-apple-app-store-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "searchTerms": { "title": "Search Terms", "type": "array", "description": "Keywords to search the App Store, e.g. \"weather\", \"photo editor\".", "default": [ "weather" ], "items": { "type": "string" } }, "appIds": { "title": "App IDs", "type": "array", "description": "Specific App Store app IDs to look up (the numeric trackId, e.g. 284882215). Comma lists are batched.", "default": [], "items": { "type": "string" } }, "entity": { "title": "App Type", "enum": [ "software", "iPadSoftware", "macSoftware" ], "type": "string", "description": "Which kind of apps to return.", "default": "software" }, "country": { "title": "Country / Storefront", "type": "string", "description": "Two-letter App Store country code (e.g. \"us\", \"gb\", \"in\").", "default": "us" }, "maxResultsPerTerm": { "title": "Max Results Per Search Term", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum apps to return per search term (App Store API caps at 200).", "default": 50 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. The iTunes API is generally open; enable proxies to avoid rate limits on large runs.", "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 } } } } } } } } } } ```