How to Scrape YouTube Data: Videos, Comments, and Channel Stats in 2026

YouTube Data: What's Available and How to Get It YouTube is the world's second-largest search engine with over 800 million videos. Whether you're building a content analytics tool, tracking brand mentions, analyzing comment sentiment, or researching trending topics, YouTube data is essential. This guide covers the YouTube Data API, web scraping techniques, and practical code for extracting videos, comments, and channel statistics. Method 1: YouTube Data API v3 The official API is the most reliable starting point. It's free (with quota limits of 10,000 units/day). Setup pip install google-api-python-client from googleapiclient.discovery import build import json API_KEY = ' YOUR_YOUTUBE_API_KEY ' # Get from console.cloud.google.com youtube = build ( ' youtube ' , ' v3 ' , developerKey = API_KEY ) def search_videos ( query , max_results = 50 ): videos = [] request = youtube . search (). list ( part = ' snippet ' , q = query , maxResults = min ( max_results , 50 ), type = ' video ' , order