# Apple App Store Scraper (`4bdullatif/appstore-scraper`) Actor Scrapes Apple App Store listings using the iTunes Search API. Searches by terms, country, and category. Returns structured app listing data including ratings, pricing, and descriptions. - **URL**: https://apify.com/4bdullatif/appstore-scraper.md - **Developed by:** [Abdullatif Badr](https://apify.com/4bdullatif) (community) - **Categories:** Developer tools, E-commerce, Other - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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 ### Apple App Store Scraper Scrapes Apple App Store app listings. Finds apps by keyword search and/or top charts, then collects full metadata for each app including ratings, pricing, screenshots, changelogs, and in-app purchase info. ### Input - **Search Terms** — Keywords to search the App Store - **Top Charts** — Scrape `top-free`, `top-paid`, or `top-grossing` charts - **Country** — App Store region (default: `us`) - **Category IDs** — Filter search results by Apple genre ID - **Max Items** — Total app limit (default: 100) - **Include Details** — Fetch full descriptions, changelogs, and in-app purchase detection (default: on) Provide at least one of Search Terms or Top Charts. ### Output Each result includes: - **App info** — Name, bundle ID, developer, category, App Store URL - **Pricing** — Price, currency, in-app purchase detection, subscription detection - **Ratings** — Average rating, total rating count - **Content** — Full description, latest changelog, feature flags - **Media** — Icon URL, iPhone and iPad screenshot URLs - **Metadata** — Version, download size, release date, last update date # Actor input Schema ## `country` (type: `string`): Two-letter ISO country code for the App Store region (e.g., 'us', 'gb', 'de'). ## `searchTerms` (type: `array`): List of search terms to query the App Store. Each term generates a separate search request (up to 200 results each). ## `categoryIds` (type: `array`): Optional genre/category IDs to cross-filter search results. Each search term is also searched within each category. ## `topCharts` (type: `array`): Which Apple top charts to scrape for app discovery. Options: 'top-free', 'top-paid', 'top-grossing'. ## `chartLimit` (type: `integer`): How many apps to fetch per chart (max 200). ## `maxItems` (type: `integer`): Maximum total app listings to return across all discovery sources. ## `includeDetails` (type: `boolean`): When enabled, fetches full descriptions, changelogs, and scrapes app pages for in-app purchase/subscription detection. Slower but provides complete data. ## Actor input object example ```json { "country": "us", "searchTerms": [], "categoryIds": [], "topCharts": [], "chartLimit": 100, "maxItems": 100, "includeDetails": 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("4bdullatif/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 = {} # Run the Actor and wait for it to finish run = client.actor("4bdullatif/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 '{}' | apify call 4bdullatif/appstore-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=4bdullatif/appstore-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apple App Store Scraper", "description": "Scrapes Apple App Store listings using the iTunes Search API. Searches by terms, country, and category. Returns structured app listing data including ratings, pricing, and descriptions.", "version": "1.0", "x-build-id": "ZlrRhfYfs5kZIxqtS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/4bdullatif~appstore-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-4bdullatif-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/4bdullatif~appstore-scraper/runs": { "post": { "operationId": "runs-sync-4bdullatif-appstore-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/4bdullatif~appstore-scraper/run-sync": { "post": { "operationId": "run-sync-4bdullatif-appstore-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "country": { "title": "Country Code", "type": "string", "description": "Two-letter ISO country code for the App Store region (e.g., 'us', 'gb', 'de').", "default": "us" }, "searchTerms": { "title": "Search Terms", "type": "array", "description": "List of search terms to query the App Store. Each term generates a separate search request (up to 200 results each).", "items": { "type": "string" }, "default": [] }, "categoryIds": { "title": "Category IDs", "type": "array", "description": "Optional genre/category IDs to cross-filter search results. Each search term is also searched within each category.", "items": { "type": "integer" }, "default": [] }, "topCharts": { "title": "Top Charts", "type": "array", "description": "Which Apple top charts to scrape for app discovery. Options: 'top-free', 'top-paid', 'top-grossing'.", "items": { "type": "string" }, "default": [] }, "chartLimit": { "title": "Chart Limit", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many apps to fetch per chart (max 200).", "default": 100 }, "maxItems": { "title": "Maximum Items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum total app listings to return across all discovery sources.", "default": 100 }, "includeDetails": { "title": "Include Full Details", "type": "boolean", "description": "When enabled, fetches full descriptions, changelogs, and scrapes app pages for in-app purchase/subscription detection. Slower but provides complete data.", "default": 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 } } } } } } } } } } ```