YouTube Review Scraper MVP

Overview

A tool to scrape YouTube comments for a product, process Hinglish/non-English comments, and perform sentiment analysis to gauge user opinions. Built with Python, Flask, and free AI tools, it filters videos for genuine reviews and displays results via a web interface.

Input product name

Sentiment Summary

Comments with Polarity

Features

• Input product name to scrape comments from relevant YouTube videos.
• Filter videos by title, description, and upload date to target reviews.
• Detect and translate non-English comments (e.g., Hinglish) to English.
• Perform sentiment analysis and display results (positive/negative/neutral percentages).

Setup

1. Clone the repository: git clone <repo-url>
2. Install dependencies: pip install -r requirements.txt
3. Set up YouTube API key in config/api_config.yaml.
4. Run: python main.py
5. Visit http://localhost:5000 in your browser.

Folder Structure

• config/: API and app configurations.
• src/: Core logic for scraping, processing, and analysis.
• templates/: HTML templates for the web interface.
• requirements.txt: Dependencies.
• README.md: Project documentation.

Skills Demonstrated

• Web scraping (YouTube Data API)
• NLP (language detection, translation, sentiment analysis)
• Web development (Flask)
• Data analysis (pandas)

Challenges and Solutions

• Hinglish Comments: Used langdetect and googletrans for translation.
• Video Relevance: Filtered by keywords and upload date.
• Scalability: Modular code with separate config files.

Future Enhancements

• Add Reddit scraping.
• Include visualizations (e.g., pie charts).
• Train custom Hinglish sentiment model.

YouReview

https://github.com/D-S007/YouReview