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mobile-apps-user-sentiment-reviews

by Joey joeygambino/mobile-apps-user-sentiment-reviews

This dataset contains clean, structured public data exported directly from production runs of Apify actors. It serves as a benchmark and sample for lead qualification, market intelligence, research, and machine learning pipelines.

Rows10
Configurations1
Size14.4 KB
Licensemit
AccessPublicly accessible
Monthly Downloads41

Dataset Card

By Joey, published under mit, revision 625ef67432c8.

Top Mobile Apps User Sentiment & Review Corpus (Google Play)

Overview

This dataset contains clean, structured public data exported directly from production runs of Apify actors. It serves as a benchmark and sample for lead qualification, market intelligence, research, and machine learning pipelines.

Description

Structured user review and sentiment corpus extracted from the Google Play Store. Includes app package IDs, reviewer ratings (1-5 stars), review text, user thumbs-up vote counts, review submission timestamps, and developer responses. Generated via Apify Actor captainhandsome/google-play-reviews-scraper.

Fields

  • app_id: (e.g. com.google.android.youtube)
  • review_id: (e.g. c0338d5d-4dd2-4288-ba3d-f146055e4a99)
  • user_name: (e.g. mohd Arif Arif)
  • user_image: (e.g. https://play-lh.googleusercontent.com/a-/ALV-UjVmJt0B1fYAwZz)
  • text: (e.g. very good standing)
  • score: (e.g. 5)
  • thumbs_up: (e.g. 0)
  • review_version: (e.g. 21.34.245)
  • app_version: (e.g. 21.34.245)
  • reviewed_at: (e.g. 2026-09-09T20:49:53)

How to Fetch Live or Unlimited Data

To extract thousands of records, schedule recurring daily alerts, or run custom queries:

  1. Visit the production Actor on Apify: captainhandsome/google-play-reviews-scraper
  2. Pass your target query parameters or run the preconfigured task: captainhandsome/instagram-1star-reviews
  3. Export results directly into CSV, JSON, Google Sheets, or integrate into your AI workflow via the apify-scrapers open-source repository.

Published by Joseph McRell (@captainhandsome). Open data for research, lead qualification, and software development.

Structure

default 10 rows

SplitRowsSize
train103.1 KB
app_idstringreview_idstringuser_namestringuser_imagestringtextstringscoreint64thumbs_upint64review_versionstringapp_versionstringreviewed_attimestamp[s]developer_replynulldeveloper_replied_atnulllanguagestringcountrystring

Details

Repository
joeygambino/mobile-apps-user-sentiment-reviews
Publisher
Joey
Task category
Other
Tags
nlp, sentiment-analysis, reviews
Size category
n<1K
Languages
nlp
Revision
625ef67432c894e68f1ecc53f867ed969d502786
Last updated
2026-09-18

Files

4 files, 14.4 KB in total.

Data2 files · 9.3 KB
Documentation1 file · 2.6 KB
Repository1 file · 2.5 KB
Every file
FileTypeSizeSHA-256
mobile_apps_user_sentiment_reviews.csvData3.1 KB
mobile_apps_user_sentiment_reviews.jsonData6.1 KB
README.mdDocumentation2.6 KB
.gitattributesRepository2.5 KB

License and Download

License
mit
Access
No access gate
Download from Joey

Released by Joey through its official repository on Hugging Face. Read the license.