Building a Real-Time Twitch Stats Dashboard with Python

Building a Real-Time Twitch Stats Dashboard with Python Tracking streamer metrics in real-time is one of the most rewarding projects for any developer interested in the live streaming ecosystem. In this guide, I will walk you through building a lightweight Twitch stats dashboard using Python, the Twitch API, and a simple web frontend. Why Track Streamer Stats? Whether you are a content creator looking to optimize your schedule, or a viewer curious about growth trends, having access to real-time data like viewer count, follower evolution, and stream uptime is incredibly valuable. Platforms like Optistream already aggregate detailed streamer profiles and analytics — our goal here is to build something similar from scratch. Setting Up the Twitch API First, register an application on the Twitch Developer Console to get your Client ID and Secret. import requests import time CLIENT_ID = " your_client_id " CLIENT_SECRET = " your_client_secret " def get_oauth_token (): url = " https://id.twitc