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YouTube Channel Videos with Views, Likes & Outlier Score

Scrape the latest videos of any YouTube channel for competitor analysis, here the tech review channel MKBHD (Marques Brownlee), and see which uploads beat the channel's usual performance. Each row has the video title, URL, publish date, views, likes, comment count, engagement rate and an outlier score against the channel's median views, plus channel subscribers, total views and About-panel links.

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▶️ YouTube Scraper
▶️ YouTube Scraperdata_minds/youtube-scraper
🎬 Title
🏷️ Type
👁️ Views
👍 Likes
+3 fields
Text
Number
Boolean
List
Object

Input

🔗 YouTube URLs(required)
url:https://www.youtube.com/@mkbhd
🎬 Max videos per source:20
📚 Channel video order:NEWEST
🚀 Outlier score & engagement rate:true
📺 Channel About panel:true

Output fields

🎬 Title
🏷️ Type
👁️ Views
👍 Likes
💬 Comments
📊 Engagement %
🚀 Outlier score

How it works

Sign up on Apify or log in

The ▶️ YouTube Scraper Actor is ready to run with the inputs already set for "YouTube Channel Videos with Views, Likes & Outlier Score". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "YouTube Channel Videos with Views, Likes & Outlier Score" task

The ▶️ YouTube Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 youtube urls, 🎬 max videos per source, and more, to match your specific use case.

Receive the "YouTube Channel Videos with Views, Likes & Outlier Score" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as 🎬 title, 🏷️ type, 👁️ views, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "YouTube Channel Videos with Views, Likes & Outlier Score" task via API.

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