Google Play Reviews Scraper

Extract app discovery and review intelligence with language, rating, version, date, and developer-reply filters.

Request-based Google Play reviews scraper. Extract review text, ratings, dates, app versions, developer replies, helpful votes, reviewer data, app details, and search-based app discovery.

All examples below use fictional DEMO-* identifiers, reserved .test domains, and masked contact details. They do not represent real people, listings, products, or companies.

🚀 What this Actor does

• Flexible collection: Direct apps, App discovery, Review intelligence, Output selection.
• Structured output: clean JSON records organized into reviews, apps views.
• Production-ready: concurrency, retries, proxy support, limits, and source-aware diagnostics are exposed through the Actor input.
• Easy automation: run from the Apify Console, API, schedules, webhooks, Make, Zapier, or any HTTP client.

🎛️ Modes and workflows

Mode or workflow	What it does
Direct apps	Resolve exact package IDs or Google Play URLs.
App discovery	Search Google Play by keyword, country, and language.
Review intelligence	Filter reviews by rating, version, keyword, date, language, or developer reply.
Output selection	Return reviews, apps, or both with outputMode.

💡 Common use cases

• App-review monitoring
• Release and version quality analysis
• Competitor and market discovery

📥 Input schema

Configure the Actor in the Input tab or send the same JSON through the API. Fields not needed for your workflow can be omitted.

Field	Type	Description	Default
appIdsOrUrls	array<string>	Use this for exact targets. Examples: com.supercell.brawlstars or https://play.google.com/store/apps/details?id=com.spotify.music.	[]
searchQueries	array<string>	Use this when you know the app name or niche, but not the package ID. Examples: Brawl Stars, fitness app, habit tracker.	[]
maxAppsPerSearch	integer	How many apps to take from each search query before scraping reviews.	5
countries	array<string>	Google Play country codes. Examples: us, gb, de, fr, br, jp.	["us"]
reviewLanguages	array<string>	Select one or many review text languages in the same run. The Actor checks the detected language of each review before saving it.	["en"]
customReviewLanguages	array<string>	Optional. Add extra Google Play language codes that are not in the dropdown. Examples: is, ga, eu, gl, iw.	[]
strictReviewLanguage	boolean	Detect the language of every review text and skip reviews written in other languages. Recommended for clean datasets.	true
languages	array<string>	Deprecated. Use Review languages instead. This field is kept only for old tasks and API clients.	[]
maxReviewsPerApp	integer	Maximum matching reviews to save for each app/country/review-language combination. Set 0 to collect app details only.	100
sort	string	Order used by Google Play before rating, text, date, reply, and language filters are applied. Allowed: newest, relevant, rating.	newest
ratings	array<string>	Return only selected star ratings. Leave empty to collect all ratings.	[]
keywords	array<string>	Return only reviews containing at least one of these words or phrases. Case-insensitive.	[]
excludeKeywords	array<string>	Skip reviews containing any of these words or phrases. Case-insensitive.	[]
dateFrom	string	Return reviews published on or after this date. Format: YYYY-MM-DD.	``
dateTo	string	Return reviews published on or before this date. Format: YYYY-MM-DD.	``
recentDays	integer	Return only reviews from the last N days. Set 0 to disable.	0
onlyWithDeveloperReply	boolean	Return only reviews that have a developer reply.	false
onlyWithoutDeveloperReply	boolean	Return only reviews that do not have a developer reply.	false
appVersions	array<string>	Return only reviews created for selected app versions. Exact match.	[]
outputMode	string	Reviews only is best for sentiment analysis. Apps only is useful for discovery. Apps and reviews is best for QA. Allowed: reviews, apps, both.	reviews
includeAppDetails	boolean	Fetch app metadata such as title, icon, developer, score, installs, genre, version, screenshots, and Google Play URL.	true
dedupe	boolean	Skip duplicate reviews across repeated apps, countries, and review languages.	true
fetchPageSize	integer	How many reviews to request from Google Play per page before local filters are applied.	200
maxPagesPerApp	integer	Safety limit for pagination. Increase if strict filters need more pages to find enough matching reviews.	25
maxConcurrency	integer	How many app/country/review-language combinations can run in parallel.	5
requestDelayMs	integer	Optional delay in milliseconds after each review page request.	0

▶️ Example input

{
  "searchQueries": [
    "habit tracker"
  ],
  "countries": [
    "US"
  ],
  "reviewLanguages": [
    "en"
  ],
  "maxAppsPerSearch": 5,
  "maxReviewsPerApp": 50,
  "outputMode": "both"
}

📦 Output schema

Each successful item is written to the default dataset. Select a dataset view in the Apify Console or export the full dataset as JSON, CSV, Excel, XML, or RSS.

reviews — Reviews

One record or grouped payload for reviews, depending on the source schema.

Fields: appIcon, appTitle, rating, text, publishedAt, appVersion, thumbsUpCount, developerReplyText, developerReplyDate, reviewerName, reviewerImage, appId, country, language, detectedLanguage, appUrl

apps — Apps

Structured apps records for this Actor.

Fields: appIcon, appTitle, developer, genre, score, ratingsCount, reviewsCount, installs, version, appId, country, language, appUrl

📤 Example output

{
  "appTitle": "Demo Habit Tracker",
  "rating": 5,
  "text": "Simple example review for documentation.",
  "publishedAt": "2026-08-01T10:00:00Z",
  "appVersion": "2.4.0",
  "thumbsUpCount": 12,
  "reviewerName": "Demo User",
  "appId": "test.example.habits",
  "country": "US",
  "language": "en"
}

Missing source values are returned as null, empty arrays, or documented availability/status fields; the Actor does not invent unavailable source data.

🔌 API example

Replace the placeholder with an Apify token and send the same input used in the Console:

curl -X POST "https://api.apify.com/v2/acts/trakk~google-play-reviews-app-intelligence/runs?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"searchQueries": ["habit tracker"], "countries": ["US"], "reviewLanguages": ["en"], "maxAppsPerSearch": 5, "maxReviewsPerApp": 50, "outputMode": "both"}'

For synchronous integrations, use the run-sync-get-dataset-items API endpoint. For larger jobs, start an asynchronous run and consume its default dataset when the run succeeds.

🧩 Automation and exports

• Schedule recurring runs from the Apify Console.
• Trigger downstream systems with webhooks when a run succeeds or fails.
• Reuse named monitoring keys or stores where the selected workflow supports change tracking.
• Export dataset views to JSON, CSV, Excel, XML, or RSS, or access items through the Apify API.

❓ FAQ

Do I need a login or browser session?

Use only the inputs shown in the Actor schema. If authentication or cookies are supported, the relevant encrypted field is explicitly available in the Input tab; otherwise no account is required.

Why can some fields be empty?

Source pages vary by region, content type, privacy settings, and availability. Optional enrichment also depends on the selected mode. Empty values are preserved honestly instead of being guessed.

How should I run this at scale?

Start with a small representative input, inspect the dataset and cost, then raise item limits and concurrency gradually. Use Apify Proxy when the schema exposes it, and use schedules plus monitoring keys for recurring collection.

Is the example data real?

No. Every example in this README is intentionally fictional and uses demo identifiers, reserved domains, or masked contact values.