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Google Play Store Spotify User Reviews

Reviews & Ratings

Tags and Keywords

Music

Text

Ratings

Nlp

Multiclass

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Google Play Store Spotify User Reviews Dataset on Opendatabay data marketplace

"No reviews yet"

Free

About

This dataset contains customer reviews and ratings for the Spotify application, collected directly from the Google Play Store. It offers insight into user experiences and satisfaction with one of the world's largest music streaming services, which serves over 422 million monthly active users [1]. The data provides a valuable resource for understanding public sentiment towards the application and identifying factors that contribute to user satisfaction or dissatisfaction [1]. The data was collected by scraping Spotify reviews from the Google Play Store [1].

Columns

  • Time_submitted: Records the specific time and date when a review was submitted by a user [2].
  • Review: Contains the full text of the user's review [2].
  • Rating: Represents the numerical score given by the user, ranging from 1 to 5, indicating their satisfaction level [2].
  • Total_thumbsup: Indicates how many other users found the particular review helpful [2].
  • Reply: Shows any direct reply to the user's review, often from the application developer or support [2].

Distribution

The dataset comprises 61,594 rows (or records) of Spotify app reviews [2]. The data is typically available in a CSV file format [3]. Review ratings range from 1 to 5, with 22,095 reviews rated 4.80 - 5.00, and 17,653 reviews rated 1.00 - 1.20 [4]. The number of 'thumbs up' for reviews ranges from 0 to 8195, with the vast majority (61,378 reviews) having between 0 and 409.75 thumbs up [5].

Usage

This dataset is ideal for various analytical applications, including:
  • Sentiment analysis to gauge overall user sentiment towards the Spotify app [1].
  • Identifying key themes and reasons behind 1-star and 5-star reviews to understand user satisfaction drivers and pain points [1].
  • Analysing trends in user feedback over time.
  • Developing machine learning models for text classification or natural language processing (NLP).
  • Understanding the impact of app updates or changes on user perception.

Coverage

The dataset covers reviews submitted between 1st January 2022 and 9th July 2022 [2]. The reviews were collected globally from the Google Play Store [2, 6]. There are no specific demographic notes on data availability, as it is based on publicly available app store reviews.

License

CC-BY

Who Can Use It

  • Data Scientists and Analysts: For conducting sentiment analysis, natural language processing, and building predictive models.
  • Product Managers: To gain insights into user feedback, identify features that users appreciate or dislike, and inform product development decisions.
  • Market Researchers: To understand consumer perception of streaming services and competitive analysis.
  • Academic Researchers: For studies on user behaviour, app reviews, and digital product success.
  • App Developers: To monitor user satisfaction and identify areas for improvement in their applications.

Dataset Name Suggestions

  • Spotify App Reviews 2022 (Google Play Store)
  • Google Play Store Spotify User Reviews
  • Spotify Mobile App Ratings and Feedback
  • Spotify User Sentiment Data
  • Global Spotify App Reviews (Jan-Jul 2022)

Attributes

Original Data Source: Spotify App Reviews

Listing Stats

VIEWS

4

DOWNLOADS

0

LISTED

08/06/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free