YouTube Analytics Streamed to Telegram Real-Time

This project utilizes Python to fetch real-time YouTube metrics such as likes, views, comments, and favorites. The data is streamed via Kafka, processed using ksqlDB, and subsequently sent to a Telegram bot for real-time notifications.

Tech Stack

• Python 3.10 (minimum)
• Kafka
• Telegram API
• Docker
• Confluent Containers (Zookeeper, Kafka, Schema Registry, Connect, ksqlDB, Control Center)

Getting Started

1. Clone the repository.

   git clone https://github.com/airscholar/YoutubeAnalytics.git

2. Install dependencies.

   pip install -r requirements.txt

3. Ensure the Docker and Confluent containers set up.

Configuration

1. Make a config folder with config.local in it and set the following:

   • [youtube] : Section
   • API_KEY: Your YouTube API Key
   • PLAYLIST_ID: The YouTube playlist ID you want to track

2. Set up your Kafka server address in the main script, by default, it's set to localhost:9092.

Running the Code

1. Start your Kafka and other Confluent services on Docker with

   docker compose up -d

2. Run the Python script.

   python youtube_analytics.py

Acknowledgements

• Credit toYusuf Ganiyu