Twitch Stream Analytics: Scraping Viewer Data and Stream Stats

Twitch generates massive amounts of real-time data — viewer counts, stream schedules, chat activity, and game trends. Extracting this data lets you build analytics dashboards, track gaming trends, and identify rising streamers. What Twitch Data Can You Collect? Live stream viewer counts and metadata Channel statistics (followers, total views, stream schedule) Game/category popularity and trends VOD (video on demand) metadata Clip data and engagement metrics Using the Twitch API Twitch provides an official API (Helix) that's the best starting point: import requests import time from datetime import datetime class TwitchAnalytics : API_BASE = " https://api.twitch.tv/helix " def __init__ ( self , client_id , access_token ): self . session = requests . Session () self . session . headers . update ({ ' Client-ID ' : client_id , ' Authorization ' : f ' Bearer { access_token } ' , }) def get_top_streams ( self , game_id = None , first = 100 ): """ Get currently top live streams. """ params = {