# App Store Reviews Scraper (`shahidirfan/app-store-reviews-scraper`) Actor Scrape detailed user reviews from iOS App Store. Extract ratings, author names, timestamps, and sentiment data at scale. Perfect for competitive analysis, market research, and app feedback monitoring. Fast, reliable, and fully customizable. - **URL**: https://apify.com/shahidirfan/app-store-reviews-scraper.md - **Developed by:** [Shahid Irfan](https://apify.com/shahidirfan) (community) - **Categories:** Developer tools, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Apple App Store reviews at scale using an app list and storefront filters. Collect structured review data including ratings, titles, review text, author info, app version, and timestamps. Built for product research, sentiment analysis, and review monitoring workflows. ### Features - **Flexible app targeting** — Use one `apps` string list with IDs or App Store URLs, including messy formats. - **Country-aware collection** — Pull reviews from one country, custom country lists, or `worldwide`. - **Language fallback** — Tries your language list first, then safe fallbacks per country. - **Pagination control** — Limit crawl depth with `maxPages` and cap output with `resultsWanted`. - **Clean dataset output** — Records are stored without null or empty fields. - **Review + app context** — Includes both review-level and app-level metadata. ### Use Cases #### Product Feedback Analysis Track what users like or dislike to guide roadmap decisions and prioritize fixes. #### Competitor Monitoring Collect reviews for competitor apps to benchmark quality, positioning, and user sentiment. #### Version Quality Tracking Measure rating and review patterns across app versions to detect regressions quickly. #### Market Research Compare user feedback by country to understand regional demand and adoption signals. --- ### Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `apps` | String | No | — | Comma-separated app identifiers or URLs. | | `countries` | String | No | — | Comma-separated country list like `us,gb,in`. | | `languages` | String | No | — | Comma-separated language list like `en,es-MX,pt-BR`. | | `sortBy` | String | No | `mostrecent` | Review ordering (`mostrecent` or `mosthelpful`). | | `resultsWanted` | Integer | No | `20` | Maximum reviews to collect. | | `maxPages` | Integer | No | `10` | Maximum pages to check. | | `proxyConfiguration` | Object | No | `{ "useApifyProxy": false }` | Optional proxy settings. | --- ### Output Data Each dataset item contains: | Field | Type | Description | |-------|------|-------------| | `appId` | String | Apple app ID. | | `appName` | String | App name. | | `appUrl` | String | App page URL. | | `country` | String | Storefront country code used in collection. | | `page` | Integer | Source page number. | | `sortBy` | String | Sorting mode used. | | `reviewId` | String | Unique review identifier. | | `reviewTitle` | String | Review title. | | `reviewText` | String | Review body text. | | `rating` | Integer | Star rating value. | | `reviewVersion` | String | App version reviewed by user. | | `voteCount` | Integer | Number of votes on review. | | `voteSum` | Integer | Vote score sum. | | `authorName` | String | Reviewer name. | | `authorProfileUrl` | String | Reviewer profile URL. | | `reviewUrl` | String | Review page URL. | | `reviewUpdatedAt` | String | Review update timestamp. | | `appDeveloper` | String | App developer/publisher name. | | `appGenre` | String | Primary app genre. | | `appVersion` | String | Current app version. | | `appAverageRating` | Number | Overall app average rating. | | `appRatingCount` | Integer | Overall app ratings count. | | `appCurrentVersionAverageRating` | Number | Current version average rating. | | `appRatingCountCurrentVersion` | Integer | Current version ratings count. | | `scrapedAt` | String | UTC timestamp when row was stored. | --- ### Usage Examples #### URL-Based Collection ```json { "apps": "https://apps.apple.com/us/app/chatgpt/id6448311069#productRatings", "resultsWanted": 50, "maxPages": 5 } ```` #### Multi App Collection ```json { "apps": "id6448311069, apps.apple.com/us/app/claude-by-anthropic/id6473753684", "countries": "us", "resultsWanted": 100, "maxPages": 10 } ``` #### Worldwide Collection ```json { "apps": "apps.apple.com/us/app/chatgpt/id6448311069#productRatings", "countries": "worldwide", "languages": "en", "resultsWanted": 800, "maxPages": 10 } ``` ### Sample Output ```json { "appId": "6448311069", "appName": "ChatGPT", "appUrl": "https://apps.apple.com/us/app/chatgpt/id6448311069?uo=4", "country": "us", "page": 1, "sortBy": "mostrecent", "reviewId": "14002671847", "reviewTitle": "Sucks, it’s too dumb", "reviewText": "It gets nothing right and just says “Ahh! Good catch!” and still gives the wrong answer.", "rating": 1, "reviewVersion": "1.2026.104", "voteCount": 0, "voteSum": 0, "authorName": "I love Jesus!124", "authorProfileUrl": "https://itunes.apple.com/us/reviews/id1702566737", "reviewUrl": "https://itunes.apple.com/us/review?id=6448311069&type=Purple%20Software", "reviewUpdatedAt": "2026-04-27T07:55:16-07:00", "appDeveloper": "OpenAI", "appGenre": "Productivity", "appVersion": "1.2026.104", "appAverageRating": 4.9, "appRatingCount": 2418591, "appCurrentVersionAverageRating": 4.9, "appRatingCountCurrentVersion": 2418591, "scrapedAt": "2026-04-29T10:00:00.000Z" } ``` *** ### Tips for Best Results #### Start with Working App Identifiers - Prefer the `apps` list for deterministic and scalable runs. - Messy values like `id6448311069` and `apps.apple.com/.../id...` are accepted. #### Keep Runs Fast During Testing - Set `resultsWanted` to `20` or `30` for quick validation. - Increase gradually for larger production datasets. #### Configure Country Intentionally - Use the storefront that matches your target audience. - Compare multiple countries in separate runs for better insights. - Use `worldwide` plus `countries` for large multi-country datasets. #### Use Proxy on High Volume - Keep proxy enabled for stability on repeated or large-volume runs. *** ### Integrations Connect extracted data with: - **Google Sheets** — Review analysis and reporting dashboards. - **Airtable** — Centralized app feedback database. - **Make** — Automated review processing workflows. - **Zapier** — Trigger notifications and downstream actions. - **Webhooks** — Deliver fresh records to internal systems. #### Export Formats - **JSON** — Application pipelines and APIs. - **CSV** — Spreadsheet analysis. - **Excel** — Business reporting. - **XML** — Legacy integrations. *** ### Frequently Asked Questions #### Can I scrape reviews from multiple countries? Yes. Use the `countries` input to run across one or many storefronts. #### Why might some runs return fewer reviews than requested? Available review volume differs by app, country, and review ordering. #### Can I control the amount of data collected? Yes. Use `resultsWanted` and `maxPages` together. #### Does the actor return empty or null fields? No. Output records are cleaned before being stored. *** ### Support For issues or feature requests, use the actor issue tracker in Apify Console. #### Resources - [Apify Documentation](https://docs.apify.com/) - [Apify API Reference](https://docs.apify.com/api/v2) - [Apify Scheduling](https://docs.apify.com/platform/schedules) *** ### Legal Notice This actor is intended for lawful data collection and analysis. You are responsible for complying with Apple terms, local regulations, and your own data governance requirements. # Actor input Schema ## `apps` (type: `string`): Optional comma-separated apps (IDs, id-prefixed IDs, or App Store URLs). Example: id6448311069, apps.apple.com/us/app/claude-by-anthropic/id6473753684 ## `countries` (type: `string`): Optional comma-separated countries, e.g. us,gb,in or worldwide for multi-country collection. ## `languages` (type: `string`): Optional comma-separated language tags, e.g. en,es-MX,pt-BR. ## `sortBy` (type: `string`): Sorting mode for reviews. ## `resultsWanted` (type: `integer`): Maximum number of reviews to return. ## `maxPages` (type: `integer`): Maximum review pages to check. ## `proxyConfiguration` (type: `object`): Use Apify Proxy when needed for reliability. ## Actor input object example ```json { "apps": "id6448311069", "countries": "us", "languages": "en", "sortBy": "mostrecent", "resultsWanted": 20, "maxPages": 10, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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": "id6448311069", "countries": "us", "languages": "en", "sortBy": "mostrecent", "resultsWanted": 20, "maxPages": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("shahidirfan/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": "id6448311069", "countries": "us", "languages": "en", "sortBy": "mostrecent", "resultsWanted": 20, "maxPages": 10, } # Run the Actor and wait for it to finish run = client.actor("shahidirfan/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": "id6448311069", "countries": "us", "languages": "en", "sortBy": "mostrecent", "resultsWanted": 20, "maxPages": 10 }' | apify call shahidirfan/app-store-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=shahidirfan/app-store-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store Reviews Scraper", "description": "Scrape detailed user reviews from iOS App Store. Extract ratings, author names, timestamps, and sentiment data at scale. Perfect for competitive analysis, market research, and app feedback monitoring. Fast, reliable, and fully customizable.", "version": "0.0", "x-build-id": "tSu130VRsfCBq6BCA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/shahidirfan~app-store-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-shahidirfan-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/shahidirfan~app-store-reviews-scraper/runs": { "post": { "operationId": "runs-sync-shahidirfan-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/shahidirfan~app-store-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-shahidirfan-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", "properties": { "apps": { "title": "Apps list", "type": "string", "description": "Optional comma-separated apps (IDs, id-prefixed IDs, or App Store URLs). Example: id6448311069, apps.apple.com/us/app/claude-by-anthropic/id6473753684" }, "countries": { "title": "Countries list", "type": "string", "description": "Optional comma-separated countries, e.g. us,gb,in or worldwide for multi-country collection.", "default": "us" }, "languages": { "title": "Languages list", "type": "string", "description": "Optional comma-separated language tags, e.g. en,es-MX,pt-BR.", "default": "en" }, "sortBy": { "title": "Sort reviews by", "enum": [ "mostrecent", "mosthelpful" ], "type": "string", "description": "Sorting mode for reviews.", "default": "mostrecent" }, "resultsWanted": { "title": "Results wanted", "minimum": 1, "type": "integer", "description": "Maximum number of reviews to return.", "default": 20 }, "maxPages": { "title": "Max pages", "minimum": 1, "type": "integer", "description": "Maximum review pages to check.", "default": 10 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Use Apify Proxy when needed for reliability.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```