# Google Play Store Scraper + AI (`lizzyyy2/google-play-store-scraper-ai`) Actor Scrape Google Play app data, ratings and reviews via top charts, similar apps, developer portfolios or direct IDs, then optionally turn them into AI insights: review theme summaries, sentiment, ASO keyword suggestions and a competitor report. No API key needed. - **URL**: https://apify.com/lizzyyy2/google-play-store-scraper-ai.md - **Developed by:** [Lizzy](https://apify.com/lizzyyy2) (community) - **Categories:** AI, SEO tools, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results 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 Store Scraper + AI Scrape **Android app data, ratings and user reviews** from the Google Play Store — then optionally turn them into **AI insights** that most scrapers don't give you: summarized review themes, sentiment breakdowns, App Store Optimization (ASO) suggestions, and a competitor market report. No API key, no login. Discover apps the **reliable** way — via top charts, similar/competitor apps, developer portfolios, or direct package IDs — and let a **built-in AI model** (billed as platform usage) do the analysis. **You don't need to bring your own AI key.** ### Why this Actor Most Google Play scrapers depend on keyword search, which Google frequently rate-limits and breaks. This Actor is built around **discovery sources that actually work**, then layers AI on top so you get decisions, not just rows. - 🤖 **AI insights (optional)** — review analysis, ASO suggestions, competitor report. Most scrapers don't offer this. - 🧭 **Reliable discovery** — top charts (by collection + category), similar apps, developer portfolios, direct IDs. - 🌍 **Any storefront** — pick country + language. - ⭐ **Full data** — installs, ratings, histogram, pricing, IAPs, developer contact, screenshots, reviews. - 💸 **Pay only for what you use** — cheap base scraping, premium per AI insight. ### What you can do with it - **App developers** — see exactly what reviewers complain about and request, and how to improve your listing. - **ASO / marketing teams** — get keyword and listing suggestions in seconds. - **Market researchers** — compare a whole category and spot gaps with the AI competitor report. - **Sales teams** — pull a developer's whole portfolio + contact email as leads. ### Input Provide at least one discovery source. | Field | Type | Description | |---|---|---| | `appIds` | array | Package names (`com.spotify.music`) or Google Play URLs to scrape directly. | | `topCharts` | array | Objects like `{ "collection": "TOP_FREE", "category": "APPLICATION" }`. Collections: `TOP_FREE`, `TOP_PAID`, `GROSSING`. | | `similarToAppIds` | array | Seed apps to expand into their "similar apps" — reliable competitor discovery. | | `developers` | array | Developer names to pull every app they publish. | | `searchTerms` | array | Keyword search (**best-effort**; Google often rate-limits it — prefer the sources above). | | `country` / `lang` | string | Storefront country + language. Default `us` / `en`. | | `maxApps` | integer | Hard cap on total apps (1–500). Default 25. | | `maxAppsPerSource` | integer | Max apps taken from each source (1–200). Default 50. | | `includeReviews` | boolean | Fetch user reviews. Default `true`. | | `maxReviewsPerApp` | integer | Max reviews per app (0–500). Default 100. | | `reviewsSort` | string | `newest`, `rating` or `helpfulness`. Default `newest`. | | `aiEnrichment` | boolean | Master switch for AI insights. Default `false`. | | `aiReviewSummary` | boolean | AI review analysis (sentiment, complaints, praises, requests). | | `aiAso` | boolean | AI ASO suggestions (title, short description, keywords, long description). | | `aiCompetitorReport` | boolean | One AI market report comparing all scraped apps. | | `aiLanguage` | string | Language for AI output. Default `English`. | #### Example input ```json { "similarToAppIds": ["com.spotify.music"], "topCharts": [{ "collection": "TOP_FREE", "category": "MUSIC_AND_AUDIO" }], "country": "us", "lang": "en", "maxApps": 20, "includeReviews": true, "maxReviewsPerApp": 100, "aiEnrichment": true, "aiReviewSummary": true, "aiAso": true, "aiCompetitorReport": true, "aiLanguage": "English" } ```` ### Output One row per app, plus an optional `competitor_report` row. Each app row includes core metadata, the fetched reviews, and any AI insights you enabled: ```json { "recordType": "app", "appId": "com.spotify.music", "appName": "Spotify: Music and Podcasts", "developer": "Spotify AB", "developerWebsite": "https://www.spotify.com", "genre": "Music & Audio", "price": 0, "free": true, "score": 4.3, "ratings": 32000000, "installs": "1,000,000,000+", "url": "https://play.google.com/store/apps/details?id=com.spotify.music", "reviewsFetched": 100, "aiSentiment": { "positive": 64, "neutral": 18, "negative": 18 }, "aiTopComplaints": ["Shuffle is not random", "Too many ads on free tier"], "aiTopPraises": ["Huge catalog", "Great recommendations"], "aiFeatureRequests": ["Lyrics offline", "Better queue editing"], "aiReviewSummary": "Users praise the catalog and discovery but...", "aiAso": { "suggestedTitle": "Spotify: Music & Podcasts", "keywords": ["music", "podcasts", "playlists", "songs", "..."] } } ``` ### Pricing This Actor uses **pay-per-event** pricing: | Event | What it covers | |---|---| | App result | Each app row scraped (with its reviews). | | AI review analysis | Per app analyzed with AI. | | AI ASO suggestions | Per app with ASO suggestions. | | AI competitor report | Once per run. | You only pay for the AI features you turn on. Leave AI off and it's a fast, low-cost Google Play data scraper. ### FAQ **Do I need an OpenAI/AI API key?** No. The AI runs on a built-in model billed as platform usage. **Why does keyword search sometimes return nothing?** Google Play's keyword search is aggressively rate-limited and changes often. This Actor treats `searchTerms` as best-effort and is built around reliable sources — **top charts, similar apps, developers and direct IDs** — which you should prefer. **How do I find competitors of an app?** Put the app's package name in `similarToAppIds`. Google Play's own "similar apps" graph is a reliable way to map a competitive set, and the AI competitor report then compares them. **Is this affiliated with Google?** No. It only reads publicly available Google Play data. ### Related Actors — build a full pipeline Combine Actors to go from app research to outreach: - **App research → publisher outreach:** Use this Actor to find apps and their developers in a category, then feed the developer websites into the **AI Lead Enricher** to get emails, socials and a personalized opener — ideal for SDKs, monetization tools and agencies selling to app studios. - **Cross-store coverage:** Pair with the **Apple App Store Scraper + AI** to analyze the same product on both stores. - **Spot buying signals:** Pair with **Hiring Signals — Job Board Scraper + AI** to see which app companies are scaling their team before you reach out. > Workflow: **Google Play Scraper (targets)** → **AI Lead Enricher (contact + opener)** → your CRM. # Actor input Schema ## `appIds` (type: `array`): Specific apps to scrape directly. Accepts package names (e.g. com.spotify.music) or full Google Play URLs (e.g. https://play.google.com/store/apps/details?id=com.spotify.music). ## `topCharts` (type: `array`): Discover apps from Google Play top charts. Each item is an object like {"collection":"TOP\_FREE","category":"APPLICATION"}. Collections: TOP\_FREE, TOP\_PAID, GROSSING. Categories: APPLICATION, GAME, or a specific one like COMMUNICATION, FINANCE, HEALTH\_AND\_FITNESS, PRODUCTIVITY, SHOPPING, SOCIAL, TOOLS, etc. ## `similarToAppIds` (type: `array`): Seed apps to expand into their 'similar apps' lists — a reliable way to find direct competitors. Accepts package names or Google Play URLs. ## `developers` (type: `array`): Collect every app published by these developers (e.g. "Google LLC", "Meta Platforms, Inc."). Use the exact developer name as shown on Google Play. ## `searchTerms` (type: `array`): Keywords to search Google Play for. NOTE: Google Play's keyword search is frequently rate-limited and may return no results; for reliable discovery prefer Top charts, Similar apps, Developers or direct App IDs. ## `country` (type: `string`): Two-letter country code (e.g. us, gb, de, tr). Determines pricing, availability and storefront. ## `lang` (type: `string`): Two-letter language code for store text (e.g. en, de, tr). ## `maxApps` (type: `integer`): Hard cap on the total number of unique apps to scrape across all sources (1-500). ## `maxAppsPerSource` (type: `integer`): Maximum apps to take from each top chart / similar / developer / search source (1-200). ## `includeReviews` (type: `boolean`): Fetch user reviews (score, title, text, author, date, version) for each app. Required for AI review analysis. ## `maxReviewsPerApp` (type: `integer`): Maximum number of reviews to fetch per app (0-500). ## `reviewsSort` (type: `string`): How to sort fetched reviews. ## `aiEnrichment` (type: `boolean`): Use a built-in AI model to analyze each app. Charged per AI insight generated. Turn on the specific tasks below. No API key required from you. ## `aiReviewSummary` (type: `boolean`): Summarize each app's reviews into sentiment breakdown, top complaints, top praises and requested features. Requires reviews to be scraped. Only runs when AI insights are enabled. ## `aiAso` (type: `boolean`): Generate Google Play ASO suggestions per app: optimized title, short description, keyword list and an improved long description. Only runs when AI insights are enabled. ## `aiCompetitorReport` (type: `boolean`): Generate one market analysis comparing all scraped apps (positioning, strengths/weaknesses, opportunities). Saved to the key-value store and added as a dataset row. Charged once per run. Only runs when AI insights are enabled. ## `aiLanguage` (type: `string`): Language for AI-generated output (e.g. English, German, Turkish). ## Actor input object example ```json { "appIds": [ "com.spotify.music" ], "country": "us", "lang": "en", "maxApps": 25, "maxAppsPerSource": 50, "includeReviews": true, "maxReviewsPerApp": 100, "reviewsSort": "newest", "aiEnrichment": false, "aiReviewSummary": true, "aiAso": false, "aiCompetitorReport": false, "aiLanguage": "English" } ``` # Actor output Schema ## `apps` (type: `string`): App records (with reviews and optional AI insights) in the default dataset. # 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.spotify.music" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lizzyyy2/google-play-store-scraper-ai").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.spotify.music"] } # Run the Actor and wait for it to finish run = client.actor("lizzyyy2/google-play-store-scraper-ai").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.spotify.music" ] }' | apify call lizzyyy2/google-play-store-scraper-ai --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lizzyyy2/google-play-store-scraper-ai", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Play Store Scraper + AI", "description": "Scrape Google Play app data, ratings and reviews via top charts, similar apps, developer portfolios or direct IDs, then optionally turn them into AI insights: review theme summaries, sentiment, ASO keyword suggestions and a competitor report. No API key needed.", "version": "0.1", "x-build-id": "NNsSvNbMDb2v4idtA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lizzyyy2~google-play-store-scraper-ai/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lizzyyy2-google-play-store-scraper-ai", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lizzyyy2~google-play-store-scraper-ai/runs": { "post": { "operationId": "runs-sync-lizzyyy2-google-play-store-scraper-ai", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lizzyyy2~google-play-store-scraper-ai/run-sync": { "post": { "operationId": "run-sync-lizzyyy2-google-play-store-scraper-ai", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "appIds": { "title": "App IDs or Google Play URLs", "minItems": 0, "type": "array", "description": "Specific apps to scrape directly. Accepts package names (e.g. com.spotify.music) or full Google Play URLs (e.g. https://play.google.com/store/apps/details?id=com.spotify.music).", "items": { "type": "string" } }, "topCharts": { "title": "Top charts (collection + category)", "minItems": 0, "type": "array", "description": "Discover apps from Google Play top charts. Each item is an object like {\"collection\":\"TOP_FREE\",\"category\":\"APPLICATION\"}. Collections: TOP_FREE, TOP_PAID, GROSSING. Categories: APPLICATION, GAME, or a specific one like COMMUNICATION, FINANCE, HEALTH_AND_FITNESS, PRODUCTIVITY, SHOPPING, SOCIAL, TOOLS, etc." }, "similarToAppIds": { "title": "Similar to app IDs (competitor discovery)", "minItems": 0, "type": "array", "description": "Seed apps to expand into their 'similar apps' lists — a reliable way to find direct competitors. Accepts package names or Google Play URLs.", "items": { "type": "string" } }, "developers": { "title": "Developer names / IDs", "minItems": 0, "type": "array", "description": "Collect every app published by these developers (e.g. \"Google LLC\", \"Meta Platforms, Inc.\"). Use the exact developer name as shown on Google Play.", "items": { "type": "string" } }, "searchTerms": { "title": "Search terms (best-effort)", "minItems": 0, "type": "array", "description": "Keywords to search Google Play for. NOTE: Google Play's keyword search is frequently rate-limited and may return no results; for reliable discovery prefer Top charts, Similar apps, Developers or direct App IDs.", "items": { "type": "string" } }, "country": { "title": "Country / storefront", "type": "string", "description": "Two-letter country code (e.g. us, gb, de, tr). Determines pricing, availability and storefront.", "default": "us" }, "lang": { "title": "Language", "type": "string", "description": "Two-letter language code for store text (e.g. en, de, tr).", "default": "en" }, "maxApps": { "title": "Max apps (total)", "minimum": 1, "maximum": 500, "type": "integer", "description": "Hard cap on the total number of unique apps to scrape across all sources (1-500).", "default": 25 }, "maxAppsPerSource": { "title": "Max apps per source", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum apps to take from each top chart / similar / developer / search source (1-200).", "default": 50 }, "includeReviews": { "title": "Scrape reviews", "type": "boolean", "description": "Fetch user reviews (score, title, text, author, date, version) for each app. Required for AI review analysis.", "default": true }, "maxReviewsPerApp": { "title": "Max reviews per app", "minimum": 0, "maximum": 500, "type": "integer", "description": "Maximum number of reviews to fetch per app (0-500).", "default": 100 }, "reviewsSort": { "title": "Reviews sort order", "enum": [ "newest", "rating", "helpfulness" ], "type": "string", "description": "How to sort fetched reviews.", "default": "newest" }, "aiEnrichment": { "title": "Enable AI insights", "type": "boolean", "description": "Use a built-in AI model to analyze each app. Charged per AI insight generated. Turn on the specific tasks below. No API key required from you.", "default": false }, "aiReviewSummary": { "title": "AI review analysis", "type": "boolean", "description": "Summarize each app's reviews into sentiment breakdown, top complaints, top praises and requested features. Requires reviews to be scraped. Only runs when AI insights are enabled.", "default": true }, "aiAso": { "title": "AI ASO suggestions", "type": "boolean", "description": "Generate Google Play ASO suggestions per app: optimized title, short description, keyword list and an improved long description. Only runs when AI insights are enabled.", "default": false }, "aiCompetitorReport": { "title": "AI competitor report", "type": "boolean", "description": "Generate one market analysis comparing all scraped apps (positioning, strengths/weaknesses, opportunities). Saved to the key-value store and added as a dataset row. Charged once per run. Only runs when AI insights are enabled.", "default": false }, "aiLanguage": { "title": "AI output language", "type": "string", "description": "Language for AI-generated output (e.g. English, German, Turkish).", "default": "English" } } }, "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 } } } } } } } } } } ```