Scraping Twitch: Stream Data, Viewers, and Clip Analytics

Scraping Twitch: Stream Data, Viewers, and Clip Analytics Twitch dominates live streaming with 140+ million monthly active users. Whether building analytics dashboards or tracking content trends, Twitch data is incredibly valuable. Setting Up the Data Collector import requests from bs4 import BeautifulSoup from datetime import datetime import sqlite3 , json , time class TwitchCollector : def __init__ ( self , client_id = None , token = None , api_key = None ): self . api_key = api_key self . api = requests . Session () if client_id and token : self . api . headers . update ({ ' Client-ID ' : client_id , ' Authorization ' : f ' Bearer { token } ' }) self . web = requests . Session () self . web . headers . update ({ ' User-Agent ' : ' Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 ' }) self . db = sqlite3 . connect ( ' twitch.db ' ) self . _init_db () def _init_db ( self ): self . db . executescript ( ''' CREATE TABLE IF NOT EXISTS streams ( id INTEGER PRIMARY KEY AUTOINCR