YouTube Watch Analysis is a full-stack application that visualizes your YouTube watch history using charts and custom metrics. It combines a Python-based backend and a React-based frontend to deliver personalized data insights.

🗂 Project Overview

This project parses YouTube watch history data, processes it using FastAPI and Python, and displays meaningful charts on a sleek React interface.

📦 Project Structure

  • Backend: FastAPI + Python scripts (for YouTube API, Selenium, data processing)
  • Frontend: React + Chart.js (user input + chart rendering)
  • Intermediates: JSON files to store and merge data

🚀 Technologies Used

  • Frontend: React, Chart.js
  • Backend: FastAPI, Python, Selenium, Google API Client
  • Tools: JSON, uvicorn

🔌 API Endpoints

  • POST /start-selenium-task: Triggers a YouTube data extraction task
  • GET /status: Checks the backend task progress
  • GET /data: Returns the merged, processed watch data

🧪 How to Run the Project

  1. Start Backend:

    cd backend
uvicorn main:app --reload

  2. Start Frontend:

    npm start

Then open http://localhost:3000 in your browser to explore the charts and data.

🔓 License

This project is licensed under the MIT License.

📁 GitHub Repository

priyanshsaxena24/Watch_Analytics on GitHub