Google Play Scraper for collecting public details about applications, games, movies & TV shows, books, and more.
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Updated
Jan 29, 2026 - Python
Google Play Scraper for collecting public details about applications, games, movies & TV shows, books, and more.
This is an MCP server that provides tools to LLMs for searching and analyzing apps from both Google Play Store and Apple App Store – perfect for ASO.
Web crawler capable of scraping the reviews and ratings data of any app on Google Play Store then saves in CSV file format for further data analysis.
Use google-play-scraper 1.2.6 to collect app reviews.
Node.js Electron GUI for Scraping the Google Play Store.
Sentimen analisis pada aplikasi Tokopedia
A Streamlit app that analyzes CSV and Google Play Store reviews with VADER to deliver balanced per-review sentiment labels and overall sentiment insights.
Exploring Touch 'n Go eWallet mobile application user reviews using Concordances and N-Gram Method
A web-based tool to fetch and download screenshots of Google Play Store apps. Built with HTML, CSS, JavaScript, Node.js, Express.js, and google-play-scraper.
Sentiment analysis of MyTelkomsel (com.telkomsel.telkomselcm) app reviews from the Google Play Store using SVM, RandomForest, and BiLSTM models.
Hybrid ABSA sentiment analysis pipeline with Mistral 7B LLM integration for business intelligence. Multi-platform e-commerce review analysis with interactive dashboards.
An updated version of google play scraper with the addition of permission list information.
Google Play scraper designed to scrape google play data, search results, and reviews through a structured Google Play store scraper API.
A tool to scrape Gojek app reviews from the Google Play Store. This project includes scripts for data collection, preprocessing (case folding, tokenization, stopword removal, stemming), and initial data analysis to gain insights from user feedback.
Multilingual sentiment analysis of 248,858 Google Play reviews across 5 leading Malaysian e-wallet and digital banking apps, comparing a rule-based VADER baseline against a multilingual transformer (XLM-RoBERTa) for production-grade sentiment classification on real-world bilingual data.
In this repository, I tried to analyze different apps' review analysis through google play scraper and sentiment analysis of those reviews through textBlob
Streamlit web app: scrapes Google Play Store reviews, runs VADER sentiment + fine-tuned XLNet multi-intent classification
[Archived — see store-scraper-bot] Original Java Telegram bot for app-store scraping. Replaced by store-scraper-bot (JS).
UK Banking App Review Analysis: A data-driven project using text analytics (LDA, BERTopic) on 800k+ Google Play Store reviews.
NodeJS project to scrape all reviews of a particular App from Google Play Store
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