Shopping App Reviews Dataset

Dataset Overview

The dataset was meticulously scraped using Python scripts and includes detailed reviews from top Android shopping apps: Alibaba, Aliexpress, Amazon, Daraz, eBay, Flipkart, Lazada, Meesho, Myntra, Shein, Snapdeal, and Walmart. Each review is enriched with metadata such as:

• Review Score
• Thumbs-Up Count
• Review Posting Date
• Reply Content

The dataset is available in a structured format, organized into a ZIP file containing:

• 12 JSON files
• 12 CSV files, one for each shopping app

Applications of the Dataset

The Shopping App Reviews Dataset is an invaluable resource for:

• E-Commerce Insights: Analyze customer opinions to improve shopping platforms.
• Data Mining Projects: Extract trends and actionable data from reviews.
• NLP and Sentiment Analysis: Train models to understand customer sentiment.
• User Experience Research: Evaluate feedback to enhance app design and functionality.

Why Use This Dataset?

This dataset provides a rich data source to study customer feedback on leading shopping platforms, empowering businesses and researchers to derive actionable insights and improve financial performance.

Categories

• E-Commerce
• Data Mining
• Natural Language Processing (NLP)
• User Feedback
• User Experience

This dataset is sourced from Kaggle.