# Apple App Store Reviews Scraper — ASO & API (`obsidian937/app-store-reviews-scraper`) Actor Scrape Apple App Store reviews and app metadata via Apple's public API. No proxy needed. Any app, any country. Ratings, review text, author, version. Perfect for ASO and competitor research. - **URL**: https://apify.com/obsidian937/app-store-reviews-scraper.md - **Developed by:** [Obsidian IT Consulting SRL](https://apify.com/obsidian937) (community) - **Categories:** Marketing - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.15 / 1,000 review or app info extracteds 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 Reviews Scraper Extract App Store reviews and app metadata using **Apple's public API** — no proxy needed, no blocks, no rate limits. ### What you get #### App metadata | Field | Description | |-------|-------------| | `appName` | App name | | `developer` | Developer name | | `category` | App category | | `price` | Price | | `averageRating` | Overall star rating | | `ratingCount` | Total number of ratings | | `version` | Current version | | `lastUpdated` | Last update date | #### Reviews | Field | Description | |-------|-------------| | `rating` | Star rating (1–5) | | `title` | Review title | | `review` | Full review text | | `author` | Reviewer username | | `version` | App version reviewed | | `date` | Review date | | `voteCount` | Helpful votes | ### Watchlist mode — delta tracking Enable `watchlistMode: true` to only get reviews published **since your last run**. The actor saves a timestamp after each run and uses it automatically next time — no manual date management. Perfect for recurring automation with Make, Zapier, or n8n: ```json { "apps": ["https://apps.apple.com/us/app/notion/id1232780281"], "watchlistMode": true } ```` Run on a schedule → only new reviews flow into your pipeline each time. You can also set a one-time start date manually with `sinceDate`: ```json { "apps": ["id1232780281"], "sinceDate": "2026-06-01T00:00:00Z" } ``` ### Use cases - **ASO (App Store Optimization)** — analyze what users love and hate - **Product feedback** — monitor your own app reviews at scale - **Competitor analysis** — track competitor ratings and sentiment over time - **Review monitoring alerts** — detect rating drops before they hurt your ranking - **Recurring watchlist** — schedule runs and only process new reviews each time - **Market research** — understand user needs in a specific app category ### Multi-country support Get reviews from multiple countries in one run — US, UK, France, Germany, etc. ``` countries: ["us", "gb", "fr", "de", "ca", "au"] ``` ### Example input ```json { "apps": ["https://apps.apple.com/us/app/notion/id1232780281"], "countries": ["us", "gb"], "maxReviewsPerCountry": 100, "sortBy": "mostRecent" } ``` ### Example output ```json { "type": "review", "appName": "Notion- Notes, Docs, Tasks", "rating": 5, "title": "Best productivity app I've used", "review": "Completely replaced my notebook and to-do list. The templates are a game changer.", "author": "productivitynerd", "version": "3.14.0", "date": "2026-05-20T14:30:00.000Z", "voteCount": 8, "country": "us" } ``` ### Why no proxy? This actor uses Apple's official RSS feed API — the same endpoint used by App Store apps themselves. No browser simulation, no IP rotation, no blocking. ### Pricing **$0.15 per 1,000 results** ($0.00015/item). Only pay for what you extract. ### FAQ **How many reviews can I get?** Up to 50 per app per country (Apple's current RSS feed limit). Scrape multiple countries to get more coverage — `["us", "gb", "fr", "de", "ca", "au"]` gives up to 300 reviews per app. **Does it work without a proxy?** Yes — uses Apple's official public API. No scraping, no blocking. **How fresh is the data?** Real-time — pulled live from Apple's servers. # Actor input Schema ## `apps` (type: `array`): App Store URLs or app IDs. Example: 'https://apps.apple.com/us/app/notion/id1232780281' or '1232780281' ## `countries` (type: `array`): Country codes to fetch reviews from. More countries = more reviews. ## `maxReviewsPerCountry` (type: `integer`): Apple's RSS feed returns up to 50 reviews per app per country. ## `sortBy` (type: `string`): Sort order for reviews returned by Apple's API ## `minRating` (type: `integer`): Only return reviews with rating >= this value (0 = all) ## `includeAppInfo` (type: `boolean`): Include app name, developer, category, price, rating summary ## `watchlistMode` (type: `boolean`): Only emit reviews newer than the last run. Saves last run timestamp automatically — ideal for recurring monitoring with Make/Zapier/n8n. ## `sinceDate` (type: `string`): Only return reviews published after this ISO date (e.g. 2026-05-01T00:00:00Z). Overridden by watchlistMode if both are set. ## Actor input object example ```json { "apps": [ "https://apps.apple.com/us/app/notion/id1232780281" ], "countries": [ "us" ], "maxReviewsPerCountry": 50, "sortBy": "mostRecent", "minRating": 0, "includeAppInfo": true, "watchlistMode": 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 = { "apps": [ "https://apps.apple.com/us/app/notion/id1232780281" ], "countries": [ "us" ] }; // Run the Actor and wait for it to finish const run = await client.actor("obsidian937/app-store-reviews-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": ["https://apps.apple.com/us/app/notion/id1232780281"], "countries": ["us"], } # Run the Actor and wait for it to finish run = client.actor("obsidian937/app-store-reviews-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": [ "https://apps.apple.com/us/app/notion/id1232780281" ], "countries": [ "us" ] }' | apify call obsidian937/app-store-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=obsidian937/app-store-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apple App Store Reviews Scraper — ASO & API", "description": "Scrape Apple App Store reviews and app metadata via Apple's public API. No proxy needed. Any app, any country. Ratings, review text, author, version. Perfect for ASO and competitor research.", "version": "1.0", "x-build-id": "bZbPKg5VMgB86sMaM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/obsidian937~app-store-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-obsidian937-app-store-reviews-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/obsidian937~app-store-reviews-scraper/runs": { "post": { "operationId": "runs-sync-obsidian937-app-store-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/obsidian937~app-store-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-obsidian937-app-store-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "apps" ], "properties": { "apps": { "title": "Apps to scrape", "type": "array", "description": "App Store URLs or app IDs. Example: 'https://apps.apple.com/us/app/notion/id1232780281' or '1232780281'", "items": { "type": "string" } }, "countries": { "title": "Countries", "type": "array", "description": "Country codes to fetch reviews from. More countries = more reviews.", "default": [ "us" ], "items": { "type": "string" } }, "maxReviewsPerCountry": { "title": "Max reviews per app per country", "minimum": 1, "maximum": 50, "type": "integer", "description": "Apple's RSS feed returns up to 50 reviews per app per country.", "default": 50 }, "sortBy": { "title": "Sort reviews by", "enum": [ "mostRecent", "mostHelpful" ], "type": "string", "description": "Sort order for reviews returned by Apple's API", "default": "mostRecent" }, "minRating": { "title": "Minimum star rating", "minimum": 0, "maximum": 5, "type": "integer", "description": "Only return reviews with rating >= this value (0 = all)", "default": 0 }, "includeAppInfo": { "title": "Include app metadata", "type": "boolean", "description": "Include app name, developer, category, price, rating summary", "default": true }, "watchlistMode": { "title": "Watchlist mode (delta tracking)", "type": "boolean", "description": "Only emit reviews newer than the last run. Saves last run timestamp automatically — ideal for recurring monitoring with Make/Zapier/n8n.", "default": false }, "sinceDate": { "title": "Since date (manual delta)", "type": "string", "description": "Only return reviews published after this ISO date (e.g. 2026-05-01T00:00:00Z). Overridden by watchlistMode if both are set." } } }, "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 } } } } } } } } } } ```