📊 YouTube Analytics Tracker

Automatically tracks daily YouTube channel stats — subscribers, views, Longs vs Shorts performance — and generates charts and Excel reports using the YouTube Data API v3.

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📸 Sample Output

Subscribers Growth	Longs vs Shorts Views
Daily View Deltas	Analytics Report (Excel) Generated in outputs/analytics_report.xlsx

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✨ Features

• 📅 Daily data logging — tracks subscribers and video views every day
• 🎥 Longs vs Shorts classification — automatically separates videos by duration (>150s = Long)
• 📈 3 auto-generated charts — subs growth, views over time, daily view deltas
• 📄 Excel analytics report — full data + top performing videos by type
• 🔒 Secure — API key stored in .env, never committed to git

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🛠️ Tech Stack

Tool	Purpose
Python	Core scripting
YouTube Data API v3	Fetching channel & video stats
Pandas	Data processing & Excel I/O
Matplotlib	Chart generation
OpenPyXL	Excel report writing
python-dotenv	Secure API key management

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⚡ Setup & Usage

1. Clone the repo

git clone https://github.com/rajit2004/yt-analytics-tracker.git
cd yt-analytics-tracker

2. Install dependencies

pip install -r requirements.txt

3. Set up your API key

cp .env.example .env

Then open .env and fill in your credentials:

YT_API_KEY=your_youtube_api_key_here
YT_CHANNEL_ID=your_channel_id_here

🔑 Get your API key from Google Cloud Console → Enable YouTube Data API v3

4. Run the tracker

# Simple version (uses requests)
python stats_data.py

# Modular version (uses Google API client)
python auto_data_feed.py

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📁 Project Structure

yt-analytics-tracker/
├── stats_data.py          # Main tracker script
├── auto_data_feed.py      # Modular API client version
├── .env                   # Your API key (never committed)
├── .env.example           # Template for setup
├── .gitignore
├── requirements.txt
└── outputs/               # Generated files
    ├── analytics_report.xlsx
    ├── subs_growth.png
    ├── total_views.png
    └── daily_deltas.png

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🔄 Automate Daily Runs

To run this automatically every day, set up a cron job (Linux/Mac):

0 9 * * * cd /path/to/yt-analytics-tracker && python stats_data.py

Or use Windows Task Scheduler to run stats_data.py daily.

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💖 Support

If this project helped you, consider supporting my work:

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👨‍💻 Author

Ranesh Rajit — B.Tech CS Student, India