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Google Play Reviews Dataset

Structured Google Play app reviews with star ratings, review text, app versions, thumbs-up counts, developer replies, and review timestamps.

Request sample data View data fields

Built for

Mobile app teams, market researchers, and AI developers

  • ✓Structured review text and ratings
  • ✓CSV or JSON delivery
  • ✓Custom filters when available
  • ✓One-time or recurring collection

What is included in Google Play review data?

The exact schema depends on the collection. These are the commonly available fields to validate in your sample.

review_id
app_id
app_name
rating
review_text
review_date
app_version
thumbs_up_count
developer_reply
reply_date
language
country

Example normalized record

This anonymized, illustrative record shows the expected shape. Confirm actual fields and values using the sample for your selected collection.

{
  "review_id": "GP_84A21",
  "app_id": "com.example.app",
  "app_name": "Example App",
  "rating": 4,
  "review_text": "Useful app and the latest update is faster.",
  "review_date": "2026-08-12",
  "app_version": "8.4.1",
  "thumbs_up_count": 17,
  "developer_reply": "Thanks for your feedback.",
  "language": "en"
}

Common use cases

Sentiment analysis

Classify review sentiment and compare rating-to-text agreement.

Topic and aspect extraction

Identify recurring product, service, feature, or support themes.

Competitive intelligence

Compare ratings, review volume, response patterns, and customer concerns.

AI evaluation and training

Develop retrieval, summarization, classification, and language-analysis workflows.

Trend monitoring

Measure how feedback changes by version, business, market, or time period.

Collection and quality considerations

Before purchasing or training a model, verify the collection date, geographic and language coverage, rating distribution, duplicate rate, missing fields, deleted-content policy, and source-specific limitations.

A current snapshot is suitable for present-state analysis. Measuring changes over time requires dated recurring snapshots collected with a consistent method.

Request a targeted extract

Scope the collection by app, business, country, language, rating, or date range when those filters are exposed by Google Play. We can also discuss recurring delivery and a normalized schema.

Discuss your review data requirements

Google Play Reviews Dataset FAQ

Common fields include review id, app id, app name, rating, review text, review date, app version, thumbs up count. Exact fields and completeness depend on the selected collection and are documented in its sample.

Yes. A collection can be scoped to one or more Google Play app IDs and filtered by review date, rating, language, country, or app version where available.

Yes. You can review representative fields and request sample records for the apps, businesses, markets, languages, or date range relevant to your project.

The rating and text fields can support sentiment classification, topic extraction, summarization, retrieval, and model evaluation, subject to the applicable dataset license.

Yes. Availability depends on the source and scope. Ask for a dated historical snapshot or a recurring collection schedule when requesting access.

Review datasets are commonly delivered in CSV or JSON. Confirm the format, encoding, record count, and delivery method for the selected collection.

Yes, when those fields are available from the source. Custom extracts can be scoped by rating, date range, language, country, app, or business.

Public samples should omit or anonymize unnecessary reviewer identifiers. Review the exact retained fields, privacy treatment, and license before using the full dataset.

Explore more customer review datasets

Compare mobile app, business, product, and hotel review collections from the main reviews hub.

All review datasets Sentiment analysis use case