🚀 The Mission

To build a tool capable of scraping thousands of YouTube comments in seconds and analyzing audience sentiment (Positive/Negative) to help creators make data-driven decisions.

🛠️ The Tech Stack

  • Engine: Python 3 + youtube_comment_downloader (Native English Injection).
  • Intelligence: TextBlob for NLP & Sentiment Analysis.
  • Infrastructure: Docker Containers & Docker Compose.
  • UI/UX: Streamlit with Custom CSS (Cyberpunk Theme).

💡 Key Features

  1. High-Velocity Scraping: Bypasses rate limits using rotated headers.
  2. Real-Time Feedback: Live progress bar connected to the backend engine.
  3. Data Persistence: Auto-saves reports to local volume storage.
  4. Export Ready: Generates UTF-8-SIG CSVs compatible with Excel/Tableau.

Built by Radi using the “Factory” architecture.