# Google Playstore Review Scraper (`x.com/google-playstore-review-scraper`) Actor Extracts Google Play store app reviews with ratings, reviewer details, text, dates, helpful votes, app versions, filters, and pagination. - **URL**: https://apify.com/x.com/google-playstore-review-scraper.md - **Developed by:** [Girma Wakeyo](https://apify.com/x.com) (community) - **Categories:** Developer tools, Lead generation, Other - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 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 ## Google Playstore Review Scraper Fast, no-browser Google Play Store review extractor. Scrapes reviews directly from Google Play's internal API — no browser overhead, no Selenium, no Playwright. ### Features - ⚡ **Blazing fast** — HTTP-based extraction, no browser needed - 📄 **Pagination** — scrape from any start page, control pages and reviews per page - 🔢 **Sorting** — most relevant, newest, or by rating - ⭐ **Rating filters** — filter by individual rating or multiple ratings - 🔍 **Keyword search** — only keep reviews containing specific keywords - 🌍 **Language & country** — filter by review language and Google Play country - 📅 **Date range** — filter by end date or recent N days - 📱 **App version** — filter by specific app versions - 🆔 **Duplicate removal** — auto-deduplicates by review ID - 🔄 **Auto-retry** — retries on network failures with exponential backoff - 💰 **Free-user quota** — built-in limits for non-paying Apify users (5 runs / 500 reviews) ### Input #### Required | Field | Type | Description | |-------|------|-------------| | `appIdOrUrl` | string | App package name (e.g. `com.supercell.brawlstars`) or full Google Play URL | #### Optional | Field | Type | Default | Description | |-------|------|---------|-------------| | `deviceType` | enum | `mobile` | `mobile`, `tablet`, or `chromebook` | | `sortBy` | enum | `mostRelevant` | `mostRelevant`, `newest`, or `rating` | | `rating` | int | — | Fetch reviews with a specific rating (1–5) | | `startPage` | int | `1` | Page to start scraping from | | `pagesToScrape` | int | `5` | Max pages (`-1` for all available) | | `reviewsPerPage` | int | `100` | Reviews per request (10–200) | | `maxReviews` | int | `10000` | Max reviews to save (`-1` for unlimited) | | `ratingFilter` | array | `[1,2,3,4,5]` | Only keep reviews with these ratings | | `language` | array | — | Language code filter e.g. `["en", "fr"]` | | `keywords` | array | — | Only keep reviews containing these keywords | | `endDate` | string | — | Only reviews up to this date (`YYYY-MM-DD`) | | `recentDays` | int | `0` | Only reviews from last N days (0 = no limit) | | `uniqueOnly` | bool | `true` | Remove duplicate reviews by ID | | `appVersion` | array | — | Only reviews from these app versions | | `country` | string | `us` | Two-letter Google Play country code | #### Example Inputs **Basic — scrape 10 newest reviews:** ```json { "appIdOrUrl": "com.zhiliaoapp.musically.go", "maxReviews": 10, "sortBy": "newest" } ```` **Targeted — 4-5 star reviews with keywords, last 30 days:** ```json { "appIdOrUrl": "com.supercell.brawlstars", "ratingFilter": [4, 5], "keywords": ["great", "amazing", "fun"], "recentDays": 30, "maxReviews": 100, "sortBy": "newest" } ``` ### Output Each dataset item contains the following fields: | Field | Type | Description | |-------|------|-------------| | `reviewId` | string | Unique review identifier | | `rating` | int | Star rating (1–5) | | `reviewer` | string | Reviewer's display name | | `date` | string | Review date in `YYYY-MM-DD` format | | `reviewedIn` | string | Language context of the review | | `body` | string | Full review text | | `userImage` | string | Reviewer's profile image URL | | `position` | int | Order in the scraped result stream | | `helpfulCounts` | int | Number of helpful votes | | `appId` | string | Google Play package name | | `appVersion` | string | App version at time of review | | `timestamp` | int | Unix timestamp of the review | | `language` | string | Language code | #### Sample Output ```json { "reviewId": "c7d3429c-e617-40a7-8ca6-77ce3b1b3c8b", "rating": 5, "reviewer": "MarQOSH Hadeboh", "date": "2026-06-23", "reviewedIn": "en", "body": "Markos Hadeboh", "userImage": "https://play-lh.googleusercontent.com/a/ACg8ocKZTR6dtvDXiNUjvhou3xLYabf7R_WRzYcKZInlur1PSLIL=mo", "position": 1, "helpfulCounts": 0, "appId": "com.zhiliaoapp.musically.go", "appVersion": "44.3.2", "timestamp": 1782240282, "language": "en" } ``` ### Local Development ```bash ## Create and activate virtual environment python -m venv .venv source .venv/bin/activate ## Install dependencies pip install -r requirements.txt ## Run the Actor locally apify run ``` #### Syntax check ```bash python -m compileall -q my_actor/ ``` #### Deploy to Apify ```bash apify login apify push ``` ### Pricing This Actor uses pay-per-event pricing: - **Actor start:** $0.00005 per run - **Result:** $0.01 per 1,000 reviews scraped Platform usage (compute, memory) is free. # Actor input Schema ## `appIdOrUrl` (type: `string`): App package name (e.g., 'com.supercell.brawlstars') or full Google Play Store URL ## `deviceType` (type: `string`): Device type to scrape reviews from. ## `sortBy` (type: `string`): How to sort the reviews. ## `rating` (type: `integer`): Get reviews ONLY with a specific rating (1-5) ## `startPage` (type: `integer`): Page number to start scraping from. ## `pagesToScrape` (type: `integer`): Maximum number of pages to scrape. Use -1 for all available pages. ## `reviewsPerPage` (type: `integer`): Number of reviews per page to scrape ## `maxReviews` (type: `integer`): Maximum number of reviews to scrape (-1 for no limit). Non-paying Apify users are limited to 5 total runs and 500 total reviews across all runs. A free-user run counts even if it returns zero matching reviews. ## `ratingFilter` (type: `array`): Filter reviews by rating (e.g. 1,2,3,4,5) ## `language` (type: `array`): Filter reviews by language (e.g. 'en', 'fr', 'de') ## `keywords` (type: `array`): Only save reviews containing at least one of these keywords. ## `endDate` (type: `string`): Only include reviews up to this date in YYYY-MM-DD format. ## `recentDays` (type: `integer`): Only include reviews from the last N days. Use 0 for no limit. ## `uniqueOnly` (type: `boolean`): Only save unique reviews by reviewId. ## `appVersion` (type: `array`): Only save reviews from these app versions. ## Actor input object example ```json { "appIdOrUrl": "com.supercell.brawlstars", "deviceType": "mobile", "sortBy": "mostRelevant", "rating": 4, "startPage": 1, "pagesToScrape": 5, "reviewsPerPage": 100, "maxReviews": 10000, "ratingFilter": [ 1, 2, 3, 4, 5 ], "language": [ "en", "fr", "de" ], "keywords": [ "great", "bad", "fun" ], "recentDays": 0, "uniqueOnly": true, "appVersion": [ "65.165", "64.226" ] } ``` # Actor output Schema ## `results` (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 = { "appIdOrUrl": "com.supercell.brawlstars", "rating": 4, "ratingFilter": [ 1, 2, 3, 4, 5 ], "language": [ "en", "fr", "de" ], "keywords": [ "great", "bad", "fun" ], "appVersion": [ "65.165", "64.226" ] }; // Run the Actor and wait for it to finish const run = await client.actor("x.com/google-playstore-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 = { "appIdOrUrl": "com.supercell.brawlstars", "rating": 4, "ratingFilter": [ 1, 2, 3, 4, 5, ], "language": [ "en", "fr", "de", ], "keywords": [ "great", "bad", "fun", ], "appVersion": [ "65.165", "64.226", ], } # Run the Actor and wait for it to finish run = client.actor("x.com/google-playstore-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 '{ "appIdOrUrl": "com.supercell.brawlstars", "rating": 4, "ratingFilter": [ 1, 2, 3, 4, 5 ], "language": [ "en", "fr", "de" ], "keywords": [ "great", "bad", "fun" ], "appVersion": [ "65.165", "64.226" ] }' | apify call x.com/google-playstore-review-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=x.com/google-playstore-review-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Playstore Review Scraper", "description": "Extracts Google Play store app reviews with ratings, reviewer details, text, dates, helpful votes, app versions, filters, and pagination.", "version": "0.1", "x-build-id": "hFCZ1Kif3hRicAzkq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/x.com~google-playstore-review-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-x.com-google-playstore-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/x.com~google-playstore-review-scraper/runs": { "post": { "operationId": "runs-sync-x.com-google-playstore-review-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/x.com~google-playstore-review-scraper/run-sync": { "post": { "operationId": "run-sync-x.com-google-playstore-review-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "appIdOrUrl" ], "properties": { "appIdOrUrl": { "title": "App Package Name or URL", "type": "string", "description": "App package name (e.g., 'com.supercell.brawlstars') or full Google Play Store URL" }, "deviceType": { "title": "Device Type", "enum": [ "mobile", "tablet", "chromebook" ], "type": "string", "description": "Device type to scrape reviews from.", "default": "mobile" }, "sortBy": { "title": "Sort By", "enum": [ "mostRelevant", "newest", "rating" ], "type": "string", "description": "How to sort the reviews.", "default": "mostRelevant" }, "rating": { "title": "Fetch Reviews by Rating", "minimum": 1, "maximum": 5, "type": "integer", "description": "Get reviews ONLY with a specific rating (1-5)" }, "startPage": { "title": "Start Page", "minimum": 1, "type": "integer", "description": "Page number to start scraping from.", "default": 1 }, "pagesToScrape": { "title": "Pages to Scrape", "minimum": -1, "type": "integer", "description": "Maximum number of pages to scrape. Use -1 for all available pages.", "default": 5 }, "reviewsPerPage": { "title": "Reviews per Page", "minimum": 10, "type": "integer", "description": "Number of reviews per page to scrape", "default": 100 }, "maxReviews": { "title": "Max Reviews", "minimum": -1, "type": "integer", "description": "Maximum number of reviews to scrape (-1 for no limit). Non-paying Apify users are limited to 5 total runs and 500 total reviews across all runs. A free-user run counts even if it returns zero matching reviews.", "default": 10000 }, "ratingFilter": { "title": "Rating Filter", "type": "array", "description": "Filter reviews by rating (e.g. 1,2,3,4,5)", "items": { "type": "integer", "minimum": 1, "maximum": 5 } }, "language": { "title": "Language Filter", "type": "array", "description": "Filter reviews by language (e.g. 'en', 'fr', 'de')", "items": { "type": "string" } }, "keywords": { "title": "Keywords Filter", "type": "array", "description": "Only save reviews containing at least one of these keywords.", "items": { "type": "string" } }, "endDate": { "title": "End Date", "type": "string", "description": "Only include reviews up to this date in YYYY-MM-DD format." }, "recentDays": { "title": "Recent Days", "minimum": 0, "type": "integer", "description": "Only include reviews from the last N days. Use 0 for no limit.", "default": 0 }, "uniqueOnly": { "title": "Unique Reviews Only", "type": "boolean", "description": "Only save unique reviews by reviewId.", "default": true }, "appVersion": { "title": "App Version Filter", "type": "array", "description": "Only save reviews from these app versions.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```