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Daily Facebook Mobile App Feedback
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides daily updated user reviews and ratings for the Facebook Android application, as collected from the Google Play Store. It offers valuable insights into user sentiment, app performance across different versions, and general feedback from the user base. The data can be utilised for analysis of user engagement, identification of common issues, and understanding public perception of the Facebook app.
Columns
- reviewId: A unique identifier assigned to each individual review.
- userName: The identifier for the user who provided the rating and review.
- content: The textual description or comment left by the user as part of their review.
- score: The numerical rating given by the user for the app. Ratings typically range from 1 to 5.
- thumbsUpCount: The number of 'likes' or upvotes a particular review has received.
- reviewCreatedVersion: The specific version of the app that was in use when the review and rating were submitted.
- at: The date and time when the rating and review were created.
- appVersion: The version of the app.
Distribution
The data files are typically provided in CSV format. A separate sample file will be made available on the platform. The dataset includes a significant number of unique review IDs (over 345,000) and unique user names (nearly 300,000). Ratings show a strong positive bias, with over 223,000 entries receiving scores between 4.92 and 5.00. The majority of reviews have a low number of 'thumbs up' (over 354,000 entries are in the 0-2214 range), though some reviews have gathered a very high number of likes, up to 110,743. The 'appVersion' column has approximately 18% null values, with version 476.0.0.49.74 accounting for 4% and other versions making up the remaining 78%. The time range for the reviews spans from 24th June 2016 to 3rd July 2025, with a notable increase in review volume observed particularly from late 2023 through to mid-2024. The exact total number of records is not specified, but the column distributions indicate a substantial dataset.
Usage
This dataset is ideal for a variety of applications, including:
- Performing sentiment analysis on user reviews to gauge public opinion and identify trends.
- Monitoring app performance and user satisfaction over time and across different app versions.
- Conducting natural language processing (NLP) research on user-generated content.
- Informing product development and prioritisation based on direct user feedback.
- Benchmarking against competitor apps within the mobile application market.
Coverage
The dataset's geographic scope is global, reflecting reviews from the Google Play Store. The time range of the data extends from 24th June 2016 to 3rd July 2025, with new reviews being updated on a daily basis. Information regarding the demographic scope of the users is not provided within the dataset.
License
CC BY-NC-SA
Who Can Use It
- App Developers: To gain immediate insights into user issues, bugs, and feature requests.
- Data Scientists & Machine Learning Engineers: For training and validating NLP models, particularly for sentiment analysis or topic modelling on app reviews.
- Product Managers: To understand user satisfaction, identify areas for improvement, and track the impact of new features or updates.
- Market Researchers: To analyse market trends, competitive positioning, and consumer perceptions within the mobile app sector.
- Academics: For research on user behaviour, mobile app ecosystems, and online review dynamics.
Dataset Name Suggestions
- Facebook Android App User Reviews
- Google Play Store: Facebook App Ratings
- Daily Facebook Mobile App Feedback
- Facebook App Review Data
- User Sentiment: Facebook Android
Attributes
Original Data Source: Facebook Reviews [DAILY UPDATE]
QUALITY