Google Play Music App Review Collection
Product Reviews & Feedback
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About
a detailed archive of user feedback for major Android music streaming applications. It serves as a vital resource for product development teams and analysts seeking to quantify satisfaction levels and identify specific user pain points across the digital audio market. The authenticity of the raw text data allows for nuanced tracking of evolving consumer needs.
Columns
- app: Identifies the music application that the review targets. Examples include Deezer and Spotify, each making up approximately 20% of the dataset's entries.
- review: The full, unaltered text written by the user. This column features over 64,000 unique text entries.
- rating: The star rating associated with the review, given on a scale of 1 to 5. The mean rating across all entries is 3.48.
- version: The specific application version reported at the time the review was written. Approximately 17% of the entries in this column are null or missing.
- date: The timestamp recording when the user submitted the review.
Distribution
The data is supplied in a CSV file format, which is named
google_play_music_reviews.csv. The file size totals 11.08 MB. The dataset structure includes 5 primary columns and a total of 76,535 records.Usage
This dataset is perfectly suited for building and training Natural Language Processing (NLP) models focused on intent classification and sentiment analysis. It can be utilised for competitive benchmarking across the seven included applications, providing market researchers with intelligence on product performance and user perceived quality. Furthermore, the detailed feedback is excellent for informing product roadmap decisions and identifying technical bugs mentioned by the user base.
Coverage
The reviews are primarily recorded in the English language. The data spans a time range from 28 July 2021, running through to 22 May 2025. It specifically covers feedback relating to seven distinct music streaming applications available on the Google Play Store platform.
License
CC BY-NC-SA 4.0
Who Can Use It
Data Scientists: For training large-scale text analysis models and executing advanced clustering or classification projects.
Product Managers: For gaining direct, actionable user insights to inform feature prioritisation and improve the overall user experience on mobile platforms.
Market Research Analysts: For conducting detailed competitive intelligence and understanding market perception of rival streaming services.
Dataset Name Suggestions
- Google Play Music App Review Collection
- Streaming Service User Feedback Data
- Android Music App Ratings Archive
- Mobile Audio Platform Reviews
Attributes
Original Data Source: Google Play Music App Review Collection
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