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.

🔍 Streamlit tool for discovering low-to-mid install Android apps on Google Play. Multi-locale search, SQLite deduplication, novelty scoring, parallel metadata fetch with caching. Built for market research workflows targeting 10k-100k install segments. Export clean CSV datasets in one click.

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.

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

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

A production-ready TypeScript scraper and web UI for extracting Google Play Store developer metadata at scale. Features batch URL processing, automatic retries, and a resilient Express API with a React frontend. Star to streamline your app data extraction and Android market analysis!

Telegram bot that support scrape infos of an app on stores

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.

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

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

Pipeline analisis sentimen ulasan Shopee dari Google Play: scraping, preprocessing NLP Bahasa Indonesia, modeling Naive Bayes, unit test otomatis, CI, dan auto release tagging.

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.