# Google Play Store Reviews Scraper (`shahidirfan/google-play-store-reviews-scraper`) Actor Extract app reviews, ratings & user feedback from Google Play Store at scale. Scrape competitor analysis, sentiment data, and customer insights for mobile app research, marketing, and product development. Fast, reliable, ready to use. - **URL**: https://apify.com/shahidirfan/google-play-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, 75.0% 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 ## Google Play Store Reviews Scraper Collect Google Play app reviews at scale using a direct app URL or package ID. Build clean review datasets for sentiment analysis, quality monitoring, competitor tracking, and customer feedback workflows. Results are normalized for downstream analytics and export. ### Features - **Flexible app targeting** — Use a Google Play URL or package ID. - **Review pagination** — Collect across multiple pages up to your configured limits. - **Configurable sorting** — Pull newest, most helpful, or rating-ordered reviews. - **Locale support** — Set `lang` and `country` for market-specific review retrieval. - **Clean datasets** — Null and empty values are excluded from output items. - **Deduplicated records** — Prevents duplicate reviews in the final dataset. ### Use Cases #### Product Feedback Monitoring Track recent customer complaints, bugs, and feature requests. Prioritize fixes based on recurring review themes. #### Competitor Intelligence Collect reviews for competing apps and compare pain points, satisfaction, and release impact over time. #### Sentiment And Topic Analysis Export review text for NLP pipelines, sentiment scoring, or issue clustering across regions and app versions. #### Customer Support Insights Capture developer replies and response timing to evaluate support quality and communication patterns. --- ### Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `url` | String | No | `https://play.google.com/store/apps/details?id=com.linkedin.android&hl=en&gl=US` | Google Play app URL or package ID | | `results_wanted` | Integer | No | `20` | Maximum number of reviews to collect | | `max_pages` | Integer | No | `10` | Maximum number of pages to fetch | | `sort` | String | No | `newest` | Review order: `newest`, `helpfulness`, `rating` | | `lang` | String | No | `en` | Language code | | `country` | String | No | `us` | Country code | | `proxyConfiguration` | Object | No | Apify Proxy enabled | Proxy settings for reliable large runs | --- ### Output Data Each dataset item can include the following fields: | Field | Type | Description | |-------|------|-------------| | `appId` | String | Google Play package ID | | `appUrl` | String | Google Play app URL | | `reviewId` | String | Unique review identifier | | `reviewUrl` | String | Direct URL to the review | | `userName` | String | Reviewer display name | | `userImage` | String | Reviewer avatar URL | | `reviewerId` | String | Reviewer account identifier | | `score` | Integer | Review rating (1-5) | | `scoreText` | String | Rating represented as text | | `text` | String | Review message | | `thumbsUpCount` | Integer | Number of likes on the review | | `reviewCreatedVersion` | String | App version used by reviewer | | `at` | String | Review timestamp (ISO-8601) | | `replyAuthorName` | String | Developer reply author | | `replyText` | String | Developer reply content | | `repliedAt` | String | Reply timestamp (ISO-8601) | | `criteriaRatings` | Array | Additional per-topic ratings when available | | `lang` | String | Language used in the run | | `country` | String | Country used in the run | | `sort` | String | Sort mode used in the run | | `sourceUrl` | String | Input URL used for app resolution | --- ### Usage Examples #### Basic URL Run Collect the newest 20 reviews from a known app URL. ```json { "url": "https://play.google.com/store/apps/details?id=com.linkedin.android&hl=en&gl=US", "results_wanted": 20, "max_pages": 3, "sort": "newest", "lang": "en", "country": "us" } ```` #### Market-Specific Collection Collect German-market reviews for the same app. ```json { "url": "https://play.google.com/store/apps/details?id=com.linkedin.android", "results_wanted": 40, "max_pages": 4, "sort": "rating", "lang": "de", "country": "de" } ``` *** ### Sample Output ```json { "appId": "com.linkedin.android", "appUrl": "https://play.google.com/store/apps/details?id=com.linkedin.android", "reviewId": "c38217fd-526c-4d90-8c85-8bf2ec1ee9d1", "reviewUrl": "https://play.google.com/store/apps/details?id=com.linkedin.android&reviewId=c38217fd-526c-4d90-8c85-8bf2ec1ee9d1", "userName": "Erik Lentz", "score": 1, "scoreText": "1", "text": "Way too many notifications and the notification menu is a labyrinth...", "thumbsUpCount": 47, "reviewCreatedVersion": "4.1.1188", "at": "2026-04-06T06:49:19.136Z", "lang": "en", "country": "us", "sort": "newest" } ``` *** ### Tips for Best Results #### Choose A Precise Input - Use a direct app URL or package ID. #### Balance Speed And Coverage - Start with `results_wanted: 20` for quick validation. - Increase `max_pages` gradually for larger datasets. #### Use Locale Strategically - Set `lang` and `country` for region-specific customer sentiment. - Run multiple locale combinations for global analysis. #### Keep Runs Stable - Use proxy configuration for larger or frequent runs. - Schedule periodic runs instead of one huge run when monitoring trends. *** ### Integrations Connect your dataset with: - **Google Sheets** — Build live review trackers. - **Airtable** — Organize review workflows and triage queues. - **Slack** — Send alerts for negative trends. - **Webhooks** — Push run outputs into internal systems. - **Make** — Automate no-code review pipelines. - **Zapier** — Trigger downstream actions from completed runs. #### Export Formats - **JSON** — Best for APIs and analytics pipelines. - **CSV** — Spreadsheet-friendly exports. - **Excel** — Reporting and stakeholder sharing. - **XML** — Legacy system integrations. *** ### Frequently Asked Questions #### Can I use a package ID instead of a full URL? Yes. You can pass a package ID such as `com.linkedin.android` in the `url` field. #### Why are some fields missing on some reviews? Google Play does not provide every field for every review. Empty and null values are omitted from output. #### Can I collect more than 20 reviews? Yes. Increase `results_wanted` and `max_pages` according to your use case. #### Does this support different countries and languages? Yes. Use `lang` and `country` to fetch localized review streams. #### How do I avoid duplicate reviews? The actor deduplicates by `reviewId` within each run. *** ### Support For issues or feature requests, open a discussion in the actor repository or contact support through the Apify Console. #### Resources - [Apify Documentation](https://docs.apify.com/) - [Apify API Reference](https://docs.apify.com/api/v2) - [Apify Scheduling](https://docs.apify.com/schedules) *** ### Legal Notice This actor is intended for lawful data collection and analysis. You are responsible for complying with Google Play terms, local laws, and all applicable data-use requirements in your jurisdiction. # Actor input Schema ## `url` (type: `string`): Google Play app URL or package ID. Example: https://play.google.com/store/apps/details?id=com.linkedin.android ## `results_wanted` (type: `integer`): Maximum number of reviews to collect. ## `max_pages` (type: `integer`): Safety cap on API pages. ## `sort` (type: `string`): Review order. ## `lang` (type: `string`): Play Store language code. ## `country` (type: `string`): Play Store country code. ## `proxyConfiguration` (type: `object`): Use Apify Proxy for higher reliability at scale. ## Actor input object example ```json { "url": "https://play.google.com/store/apps/details?id=com.linkedin.android&hl=en&gl=US", "results_wanted": 20, "max_pages": 10, "sort": "newest", "lang": "en", "country": "us", "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 = { "url": "https://play.google.com/store/apps/details?id=com.linkedin.android&hl=en&gl=US", "results_wanted": 20, "max_pages": 10, "sort": "newest", "lang": "en", "country": "us" }; // Run the Actor and wait for it to finish const run = await client.actor("shahidirfan/google-play-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 = { "url": "https://play.google.com/store/apps/details?id=com.linkedin.android&hl=en&gl=US", "results_wanted": 20, "max_pages": 10, "sort": "newest", "lang": "en", "country": "us", } # Run the Actor and wait for it to finish run = client.actor("shahidirfan/google-play-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 '{ "url": "https://play.google.com/store/apps/details?id=com.linkedin.android&hl=en&gl=US", "results_wanted": 20, "max_pages": 10, "sort": "newest", "lang": "en", "country": "us" }' | apify call shahidirfan/google-play-store-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=shahidirfan/google-play-store-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Play Store Reviews Scraper", "description": "Extract app reviews, ratings & user feedback from Google Play Store at scale. Scrape competitor analysis, sentiment data, and customer insights for mobile app research, marketing, and product development. Fast, reliable, ready to use.", "version": "0.0", "x-build-id": "LloBZfEmJBussS3f6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/shahidirfan~google-play-store-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-shahidirfan-google-play-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~google-play-store-reviews-scraper/runs": { "post": { "operationId": "runs-sync-shahidirfan-google-play-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~google-play-store-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-shahidirfan-google-play-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": { "url": { "title": "App URL or package ID", "type": "string", "description": "Google Play app URL or package ID. Example: https://play.google.com/store/apps/details?id=com.linkedin.android" }, "results_wanted": { "title": "Results wanted", "minimum": 1, "type": "integer", "description": "Maximum number of reviews to collect.", "default": 20 }, "max_pages": { "title": "Maximum pages", "minimum": 1, "type": "integer", "description": "Safety cap on API pages.", "default": 10 }, "sort": { "title": "Sort reviews", "enum": [ "newest", "helpfulness", "rating" ], "type": "string", "description": "Review order.", "default": "newest" }, "lang": { "title": "Language", "type": "string", "description": "Play Store language code.", "default": "en" }, "country": { "title": "Country", "type": "string", "description": "Play Store country code.", "default": "us" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Use Apify Proxy for higher reliability at scale.", "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 } } } } } } } } } } ```