# Google Play Reviews Scraper (`foo121/google-play-reviews-scraper`) Actor Scrape Google Play Store app reviews at scale: star rating, review text, author, date, app version and thumbs-up count. No API key required. - **URL**: https://apify.com/foo121/google-play-reviews-scraper.md - **Developed by:** [ziv shay](https://apify.com/foo121) (community) - **Categories:** Developer tools, Marketing, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.20 / 1,000 result items 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 ## Google Play Reviews Scraper **Scrape Google Play Store app reviews at scale — star rating, review text, author, date and app version. No API key, no anti-bot wall.** Export every public review for any Android app on the Google Play Store by package name. Built for **ASO (app store optimization), app developers, product teams and sentiment analysis** — point it at your app (or a competitor's) and get a clean, structured review dataset ready for CSV/JSON/Excel or an AI pipeline. Reads directly from Google Play's public `batchexecute` endpoint — **no API key required**, no login, no proxy needed for most volumes. --- ### What you get For every app you give it, the actor returns **one row per review**: | Field | Description | |---|---| | `appId` | Play Store package name (e.g. `com.spotify.music`) | | `reviewId` | Unique review ID | | `author` | Reviewer display name | | `avatarUrl` | Reviewer profile photo URL | | `score` | Star rating, 1–5 | | `text` | Full review text | | `date` | Review date (`YYYY-MM-DD`) | | `timestamp` | Review time (ISO 8601) | | `thumbsUp` | "Helpful" count | | `appVersion` | App version the review was left on | | `criteria` | Structured app-quality tags Google attaches to some reviews — `[{aspect, rating}]`, e.g. `ads_frequency`, `battery_heat`, `ads_presence`, `stability` | | `replyText` | Developer reply text, if any | | `replyDate` | Developer reply date, if any | | `url` | App's Play Store URL | --- ### Input | Field | Type | Default | Description | |---|---|---|---| | `appIds` | array (required) | — | Play Store package names, e.g. `com.whatsapp`. Find it in the Play URL after `?id=`. | | `country` | string | `us` | Two-letter storefront code (`us`, `gb`, `de`…). | | `language` | string | `en` | Two-letter review language code. | | `sort` | string | `newest` | `newest`, `rating`, or `helpfulness`. | | `maxReviewsPerApp` | integer | `200` | Cap per app (1–100000). | #### Example input ```json { "appIds": ["com.spotify.music"], "country": "us", "language": "en", "sort": "newest", "maxReviewsPerApp": 500 } ```` *** ### Example run output One dataset item per review: ```json { "appId": "com.spotify.music", "reviewId": "gp:AOqpTOG...", "author": "Ben Alvarez", "score": 1, "text": "App constantly crashes since the last update.", "date": "2026-06-18", "timestamp": "2026-06-18T14:22:07.000Z", "thumbsUp": 42, "appVersion": "9.1.58.1567", "criteria": [ { "aspect": "ads_frequency", "rating": 2 }, { "aspect": "battery_heat", "rating": 2 } ], "replyText": "", "replyDate": "", "url": "https://play.google.com/store/apps/details?id=com.spotify.music" } ``` Export to CSV / Excel / JSON from the run's **Dataset** tab or via the API. *** ### How this compares The most-installed Play-reviews actors on the Store fall into two camps, and each gives up something this one keeps: - **The user-base leader scrapes one app at a time** with a thin ~11-field schema — **no developer replies and no per-aspect quality criteria.** This actor takes a **list of apps** (`appIds[]`) in a single run and returns both. - The one rich competitor that matches the field depth has a notably lower Store rating. So the wedge is honest and concrete: **multi-app batch in one run + developer replies + the structured `criteria` quality tags + reviewer `avatarUrl`** — the leader has none of the last three, and is single-app on top of that. `criteria` (Google's own ad-frequency / battery / stability flags per review) is the single most useful signal for ASO and is missing from almost every alternative. *** ### Use cases - **ASO / app store optimization** — track review sentiment, ratings trend and version-by-version feedback. - **Competitor research** — pull a rival app's reviews to find feature gaps and complaint themes. - **Product & QA** — surface crash/bug reports tied to specific `appVersion` values. - **Sentiment analysis / AI** — feed clean review text + scores into an LLM or BI pipeline. *** ### Pricing Pay per result (per review). High-volume by design and priced to stay cheap at scale, so pulling tens of thousands of reviews stays affordable. ### Notes No API key needed. For very large pulls, enable Apify Proxy in the run options. One bad/missing app never kills the run — it logs a warning and moves on. # Actor input Schema ## `appIds` (type: `array`): One or more Google Play app package names, e.g. com.whatsapp, com.spotify.music. Find it in the Play Store URL after ?id=. ## `country` (type: `string`): Two-letter country code for the review storefront (e.g. us, gb, de). ## `language` (type: `string`): Two-letter language code for the reviews (e.g. en, es, fr). ## `sort` (type: `string`): How to order reviews before fetching. ## `maxReviewsPerApp` (type: `integer`): Maximum number of reviews to fetch per app. ## Actor input object example ```json { "appIds": [ "com.whatsapp" ], "country": "us", "language": "en", "sort": "newest", "maxReviewsPerApp": 200 } ``` # 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 = { "appIds": [ "com.whatsapp" ] }; // Run the Actor and wait for it to finish const run = await client.actor("foo121/google-play-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 = { "appIds": ["com.whatsapp"] } # Run the Actor and wait for it to finish run = client.actor("foo121/google-play-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 '{ "appIds": [ "com.whatsapp" ] }' | apify call foo121/google-play-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=foo121/google-play-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Play Reviews Scraper", "description": "Scrape Google Play Store app reviews at scale: star rating, review text, author, date, app version and thumbs-up count. No API key required.", "version": "1.0", "x-build-id": "I2hnm5dD1rI2AQ6Km" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/foo121~google-play-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-foo121-google-play-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/foo121~google-play-reviews-scraper/runs": { "post": { "operationId": "runs-sync-foo121-google-play-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/foo121~google-play-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-foo121-google-play-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "appIds" ], "properties": { "appIds": { "title": "App IDs (package names)", "type": "array", "description": "One or more Google Play app package names, e.g. com.whatsapp, com.spotify.music. Find it in the Play Store URL after ?id=.", "items": { "type": "string" } }, "country": { "title": "Country", "type": "string", "description": "Two-letter country code for the review storefront (e.g. us, gb, de).", "default": "us" }, "language": { "title": "Language", "type": "string", "description": "Two-letter language code for the reviews (e.g. en, es, fr).", "default": "en" }, "sort": { "title": "Sort order", "enum": [ "newest", "rating", "helpfulness" ], "type": "string", "description": "How to order reviews before fetching.", "default": "newest" }, "maxReviewsPerApp": { "title": "Max reviews per app", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum number of reviews to fetch per app.", "default": 200 } } }, "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 } } } } } } } } } } ```