# App Store Scraper — Apps, Ratings & Reviews (`ponderable_hydrometer/appstore-scraper`) Actor Scrape Apple App Store app metadata, ratings and customer reviews via Apple's public iTunes APIs. Look up by app id, URL or bundle id, or search by keyword. No proxies, no login. - **URL**: https://apify.com/ponderable\_hydrometer/appstore-scraper.md - **Developed by:** [Ponderable Hydrometer](https://apify.com/ponderable_hydrometer) (community) - **Categories:** Automation, Developer tools, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 — Apps, Ratings & Reviews Pull **Apple App Store** data for any app — full metadata, ratings, and recent customer reviews — straight from Apple's own public iTunes APIs. No proxies, no login, no HTML scraping, so it's fast and reliable. Give it app ids, App Store URLs, bundle ids, or keyword searches, and get back clean, structured data per app. ### Who it's for - **App developers & ASO** — track your own and competitors' ratings, versions, and review sentiment over time. - **Market & competitor research** — pull a whole category by keyword and compare. - **Investors / analysts** — monitor rating counts and update cadence as growth signals. - **AI / data pipelines** — reviews and descriptions as structured input for analysis. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `apps` | array | — | App ids, App Store URLs, or bundle ids (e.g. `284882215`, `com.spotify.client`) | | `searchTerms` | array | — | Keywords to search; matching apps are returned | | `country` | string | `us` | Two-letter App Store country code | | `includeReviews` | boolean | `false` | Also fetch recent reviews (embedded per app) | | `maxReviews` | integer | `100` | Reviews per app when enabled (up to ~500) | | `maxAppsPerSearch` | integer | `10` | Apps returned per search term | Provide at least one of `apps` or `searchTerms`. A single value or a list both work. ```json { "apps": ["284882215", "https://apps.apple.com/us/app/notion/id1232780281"], "searchTerms": ["habit tracker"], "country": "us", "includeReviews": true, "maxReviews": 100 } ```` ### Output One row per app: ```json { "appId": 324684580, "name": "Spotify: Music and Podcasts", "bundleId": "com.spotify.client", "seller": "Spotify", "price": 0, "category": "Music", "averageRating": 4.78, "ratingCount": 40876140, "version": "9.1.62", "currentVersionReleaseDate": "2026-07-01T…", "releaseNotes": "…", "description": "…", "url": "https://apps.apple.com/us/app/…", "reviews": [ { "author": "…", "rating": 3, "title": "…", "version": "…", "updated": "…", "content": "…" } ] } ``` `reviews` is present only when `includeReviews` is on. ### Notes & limits - Data comes from Apple's public iTunes lookup/search APIs and the App Store reviews RSS feed — official, no scraping tricks required. - Reviews are the **most recent** ones (the RSS feed exposes roughly the latest ~500 per app/country), not the full historical set. - Ratings and reviews are **per country** — set `country` accordingly (`us`, `gb`, `de`, …). - This covers the **Apple App Store** only. (Google Play is a separate roadmap item.) - Public data; you are responsible for using the output in line with your own legal and compliance requirements. # Actor input Schema ## `apps` (type: `array`): Apps to fetch — numeric App Store ids, App Store URLs, or bundle ids. Examples: "284882215", "https://apps.apple.com/us/app/notion/id1232780281", "com.facebook.Facebook". ## `searchTerms` (type: `array`): Optional keywords to search the App Store; matching apps are returned as results. Example: "habit tracker". ## `country` (type: `string`): Two-letter App Store country code (e.g. us, gb, de). ## `includeReviews` (type: `boolean`): Also fetch recent customer reviews for each app (embedded in the app row). ## `maxReviews` (type: `integer`): Cap on reviews fetched per app when 'Include reviews' is on (up to ~500). ## `maxAppsPerSearch` (type: `integer`): How many matching apps to return per search term. ## Actor input object example ```json { "apps": [ "284882215", "com.spotify.client" ], "country": "us", "includeReviews": false, "maxReviews": 100, "maxAppsPerSearch": 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 = { "apps": [ "284882215", "com.spotify.client" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ponderable_hydrometer/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 = { "apps": [ "284882215", "com.spotify.client", ] } # Run the Actor and wait for it to finish run = client.actor("ponderable_hydrometer/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 '{ "apps": [ "284882215", "com.spotify.client" ] }' | apify call ponderable_hydrometer/appstore-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ponderable_hydrometer/appstore-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store Scraper — Apps, Ratings & Reviews", "description": "Scrape Apple App Store app metadata, ratings and customer reviews via Apple's public iTunes APIs. Look up by app id, URL or bundle id, or search by keyword. No proxies, no login.", "version": "0.1", "x-build-id": "LEzHG8OM6rgmdYzru" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ponderable_hydrometer~appstore-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ponderable_hydrometer-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ponderable_hydrometer~appstore-scraper/runs": { "post": { "operationId": "runs-sync-ponderable_hydrometer-appstore-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ponderable_hydrometer~appstore-scraper/run-sync": { "post": { "operationId": "run-sync-ponderable_hydrometer-appstore-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "apps": { "title": "Apps", "type": "array", "description": "Apps to fetch — numeric App Store ids, App Store URLs, or bundle ids. Examples: \"284882215\", \"https://apps.apple.com/us/app/notion/id1232780281\", \"com.facebook.Facebook\".", "items": { "type": "string" } }, "searchTerms": { "title": "Search terms", "type": "array", "description": "Optional keywords to search the App Store; matching apps are returned as results. Example: \"habit tracker\".", "items": { "type": "string" } }, "country": { "title": "Country", "type": "string", "description": "Two-letter App Store country code (e.g. us, gb, de).", "default": "us" }, "includeReviews": { "title": "Include reviews", "type": "boolean", "description": "Also fetch recent customer reviews for each app (embedded in the app row).", "default": false }, "maxReviews": { "title": "Max reviews per app", "minimum": 1, "type": "integer", "description": "Cap on reviews fetched per app when 'Include reviews' is on (up to ~500).", "default": 100 }, "maxAppsPerSearch": { "title": "Max apps per search term", "minimum": 1, "type": "integer", "description": "How many matching apps to return per search term.", "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 } } } } } } } } } } ```