# Social Google Play Reviews Scraper (`scenic_telescope/a2a-googleplay-review-scraper`) Actor Extract Google Play reviews for a fixed allowlist of major social apps with narrow, safe input. - **URL**: https://apify.com/scenic\_telescope/a2a-googleplay-review-scraper.md - **Developed by:** [ping](https://apify.com/scenic_telescope) (community) - **Categories:** Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.09 / 1,000 reviews 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 ## Social Google Play Reviews Scraper Narrow Apify Actor for Google Play review extraction from a fixed allowlist of major social apps. It is designed as the Android companion to the A2A App Store review Actor. ### Target scope This Actor is not a universal Google Play scraper. It only fetches reviews for package names configured in `src/targets.js`. Current allowlisted targets: - Instagram - TikTok - YouTube - Facebook - Snapchat - X Public callers can select one target app or all configured targets. They cannot provide arbitrary package names, app IDs, URLs, proxy settings, cookies, authorization headers, Google account credentials, or custom network code. ### Security This Actor follows the shared workspace security policy in `../../SECURITY.md`. Runtime validation rejects unknown and dangerous JSON keys. The `review` event is charged only for Google Play review records successfully written to the dataset. ### Pricing Suggested Apify pay-per-event setup: - Event name: `review` - Event title: `Review` - Event price: `$0.00009` - Equivalent: `$0.09 / 1K reviews` ### Local commands ```bash npm test npm start ```` # Actor input Schema ## `targetId` (type: `string`): Allowlisted social app to scrape. Choose all to scrape every configured target. ## `countries` (type: `array`): Google Play country codes to scrape. ## `languages` (type: `array`): Review language codes to scrape. ## `sortId` (type: `string`): Review sort order. ## `maxItems` (type: `integer`): Maximum number of review records to emit across all configured targets, countries, and languages. ## `until` (type: `string`): Optional date cutoff. Reviews at or older than this date are skipped. ## Actor input object example ```json { "targetId": "instagram", "countries": [ "us" ], "languages": [ "en" ], "sortId": "newest", "maxItems": 500 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "countries": [ "us" ], "languages": [ "en" ], "maxItems": 500 }; // Run the Actor and wait for it to finish const run = await client.actor("scenic_telescope/a2a-googleplay-review-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "countries": ["us"], "languages": ["en"], "maxItems": 500, } # Run the Actor and wait for it to finish run = client.actor("scenic_telescope/a2a-googleplay-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 '{ "countries": [ "us" ], "languages": [ "en" ], "maxItems": 500 }' | apify call scenic_telescope/a2a-googleplay-review-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scenic_telescope/a2a-googleplay-review-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Social Google Play Reviews Scraper", "description": "Extract Google Play reviews for a fixed allowlist of major social apps with narrow, safe input.", "version": "0.1", "x-build-id": "fM0jFzcDrLSaac7vP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scenic_telescope~a2a-googleplay-review-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scenic_telescope-a2a-googleplay-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scenic_telescope~a2a-googleplay-review-scraper/runs": { "post": { "operationId": "runs-sync-scenic_telescope-a2a-googleplay-review-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scenic_telescope~a2a-googleplay-review-scraper/run-sync": { "post": { "operationId": "run-sync-scenic_telescope-a2a-googleplay-review-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "countries", "languages", "sortId", "maxItems" ], "properties": { "targetId": { "title": "Target app", "enum": [ "all", "instagram", "tiktok", "youtube", "facebook", "snapchat", "x" ], "type": "string", "description": "Allowlisted social app to scrape. Choose all to scrape every configured target.", "default": "instagram" }, "countries": { "title": "Countries", "minItems": 1, "maxItems": 10, "type": "array", "description": "Google Play country codes to scrape.", "items": { "type": "string" } }, "languages": { "title": "Languages", "minItems": 1, "maxItems": 10, "type": "array", "description": "Review language codes to scrape.", "items": { "type": "string" } }, "sortId": { "title": "Sort", "enum": [ "newest", "rating", "helpfulness" ], "type": "string", "description": "Review sort order.", "default": "newest" }, "maxItems": { "title": "Maximum reviews", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of review records to emit across all configured targets, countries, and languages.", "default": 500 }, "until": { "title": "Only reviews newer than", "type": "string", "description": "Optional date cutoff. Reviews at or older than this date are skipped." } } }, "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 } } } } } } } } } } ```