# Apple App Store Review Scraper (`scrapio/apple-app-store-review-scraper`) Actor 🍎 Apple App Store Review Scraper pulls app reviews, ratings, titles, dates, versions, locales & developer replies. 📊 Export to CSV/JSON for ASO, sentiment analysis, product insights & competitor research. ⚙️ Filter by country, star, date, app ID; paginate; schedule runs. 🚀 Fast, reliable. - **URL**: https://apify.com/scrapio/apple-app-store-review-scraper.md - **Developed by:** [Scrapio](https://apify.com/scrapio) (community) - **Categories:** Automation, Developer tools, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Review Scraper Scrapes **public** customer reviews from Apple App Store URLs using the same **iTunes RSS JSON** endpoint as your standalone script (`itunes.apple.com/.../rss/customerreviews/.../json`). ### Features - **Bulk URLs** — process many apps in one run. - **Same output shape** as RSS parsing: `author`, `rating`, `version`, `title`, `content`, `date`, plus `appStoreUrl`, `appId`, `country` for multi-app runs. - **Retries** — exponential backoff, empty-feed soft retries, 404 handling. - **Proxy ladder** — direct → Apify **DATACENTER** → **RESIDENTIAL**; after switching to residential, all further requests use residential (up to **3 retries** per page on failure). - **impit** — browser-like TLS/HTTP when available; **aiohttp** fallback. ### Input (aligned with standalone `INPUT`) The standalone script only defines **`url`** and **`max_review`**; **`max_pages=10`** and **`delay_between_pages=1.5`** were hardcoded in its `if __name__` block. This actor uses the same names for the documented inputs and keeps those two numbers as defaults (overridable only via API if you pass `max_pages` / `delay_between_pages` in raw input). | Field | Description | |--------|-------------| | `url` | Primary App Store link (same as `INPUT["url"]`). | | `urls` | Optional extra links for bulk (processed after `url`). | | `max_review` | Cap per app (same as `INPUT["max_review"]`, default 300). | | `proxyConfiguration` | Apify Proxy; used only after direct → datacenter → residential escalation. | ### Output (dataset) One row per review with the fields above. ### Local run ```bash cd Apple-App-Store-Review-Scraper apify run ```` Provide `storage/key_value_stores/default/INPUT.json` with your `urls`. ### Legal Reviews are from Apple’s public RSS feed. You are responsible for compliance with Apple’s terms and applicable laws. # Actor input Schema ## `url` (type: `array`): 📋 Add **App Store** links (one entry per app). ✨ Use “Add item” for more apps to compare or track. ## `max_review` (type: `integer`): 🔢 Pick the **maximum number of reviews** you’d like for each app. 📊 Go small for a quick sample, or go big for a fuller picture—your dataset grows with your ambition! ## `proxyConfiguration` (type: `object`): 🛡️ Optional Apify **Proxy** settings—useful when you want an extra-stable connection from the cloud. 🎛️ Leave as-is for the default experience; power users can tune this in the proxy editor. ## Actor input object example ```json { "url": [ "https://apps.apple.com/us/app/quicken-simplifi-budget-smart/id1449777194" ], "max_review": 20, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "url": [ "https://apps.apple.com/us/app/quicken-simplifi-budget-smart/id1449777194" ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("scrapio/apple-app-store-review-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 = { "url": ["https://apps.apple.com/us/app/quicken-simplifi-budget-smart/id1449777194"], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("scrapio/apple-app-store-review-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 '{ "url": [ "https://apps.apple.com/us/app/quicken-simplifi-budget-smart/id1449777194" ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call scrapio/apple-app-store-review-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapio/apple-app-store-review-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apple App Store Review Scraper", "description": "🍎 Apple App Store Review Scraper pulls app reviews, ratings, titles, dates, versions, locales & developer replies. 📊 Export to CSV/JSON for ASO, sentiment analysis, product insights & competitor research. ⚙️ Filter by country, star, date, app ID; paginate; schedule runs. 🚀 Fast, reliable.", "version": "0.1", "x-build-id": "dO4BV1wmIarPVRd8f" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapio~apple-app-store-review-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapio-apple-app-store-review-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapio~apple-app-store-review-scraper/runs": { "post": { "operationId": "runs-sync-scrapio-apple-app-store-review-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapio~apple-app-store-review-scraper/run-sync": { "post": { "operationId": "run-sync-scrapio-apple-app-store-review-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "max_review" ], "properties": { "url": { "title": "🔗 Which app (or apps) should we look at?", "type": "array", "description": "📋 Add **App Store** links (one entry per app). ✨ Use “Add item” for more apps to compare or track.", "items": { "type": "string" } }, "max_review": { "title": "🎯 How many reviews per app?", "minimum": 1, "maximum": 10000, "type": "integer", "description": "🔢 Pick the **maximum number of reviews** you’d like for each app. 📊 Go small for a quick sample, or go big for a fuller picture—your dataset grows with your ambition!", "default": 20 }, "proxyConfiguration": { "title": "🌐 Networking (optional)", "type": "object", "description": "🛡️ Optional Apify **Proxy** settings—useful when you want an extra-stable connection from the cloud. 🎛️ Leave as-is for the default experience; power users can tune this in the proxy editor." } } }, "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 } } } } } } } } } } ```