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The 10 Best YouTube Scrapers of 2026

Blog post from Bright Data

Post Details
Company
Date Published
Author
Daniel Shashko
Word Count
2,589
Company Posts That Month
6
Language
English
Hacker News Points
-
Post removed?
No
Summary

YouTube’s scale, with more than 2.5 billion monthly users and over 500 hours of uploads per minute, makes it a major source of public data on videos, creators, comments, audiences, and trends, but extracting that information is complicated by private APIs, bot detection, and rate limits. The guide compares 10 managed scraper APIs and no-code tools that convert YouTube pages into structured formats such as JSON, CSV, or spreadsheets, assessing data coverage, anti-blocking capabilities, usability, delivery options, reliability, and pricing. Bright Data is presented as the strongest overall option because of its dedicated endpoints, AI scraper builder, broad data coverage, flexible delivery, and free monthly record allowance, while Apify is positioned for its marketplace of specialized automated scrapers, Oxylabs for enterprise-grade reliability, Octoparse for no-code workflows, and Supadata for low-cost transcript extraction for AI applications. Other services, including Scrapingdog, ScrapingBee, Decodo, EnsembleData, and ScrapeCreators, target differing needs such as budget access, developer simplicity, proxy-backed scale, multi-platform social data, or broad endpoint coverage. Costs range from free tiers and roughly $5 monthly transcript tools to higher subscription or per-result API pricing, and the guide advises testing a free plan before scaling while limiting collection to public data and considering platform terms, copyright, and applicable law.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Real-time 3 1,106 270 109 -81%
MCP 2 1,562 186 99 -80%
LLM 1 1,189 251 109 -83%
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