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

An updated version of google play scraper with the addition of permission list information.

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.

Hybrid ABSA sentiment analysis pipeline with Mistral 7B LLM integration for business intelligence. Multi-platform e-commerce review analysis with interactive dashboards.

Professional AdTech utility for automated AppID extraction. Scans HTML/URLs to identify Google Play Package Names and App Store IDs using optimized Regex. Features multi-source processing, deduplication, and a multilingual Streamlit UI.

In this repository, I tried to analyze different apps' review analysis through google play scraper and sentiment analysis of those reviews through textBlob

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.

NodeJS project to scrape all reviews of a particular App from Google Play Store

UK Banking App Review Analysis: A data-driven project using text analytics (LDA, BERTopic) on 800k+ Google Play Store reviews.

Sentiment analysis of MyTelkomsel (com.telkomsel.telkomselcm) app reviews from the Google Play Store using SVM, RandomForest, and BiLSTM models.

Welcome to the "Analysis using NLP on Google Play Store Reviews" repository! This project is focused on extracting insights from Google Play Store reviews through Natural Language Processing (NLP) techniques and sentiment analysis.

Google Play review scrapper using Node.js

AI-powered Play Store scraper using Gemini 3 Pro. Extract studio names, dual-type emails (Support & Business), and normalized install counts from any Google Play URL.