YouTube Channel & Video Scraper

Extract Channel Statistics and Video Metadata at Scale

Turn any YouTube channel or video URL into structured data in minutes. This scraper collects subscriber counts, view metrics, video metadata, tags, descriptions, and publishing history -- everything you need for competitive analysis, influencer vetting, or content research, without manual data entry.

Whether you are benchmarking competitor channels, auditing creator performance for influencer partnerships, or building a dataset of trending content in your niche, this actor delivers clean, export-ready data at a fraction of the cost of commercial analytics tools.

What data can you extract?

Channel data

Field	Type	Description
dataType	string	Record type identifier (channel)
channelName	string	Display name of the YouTube channel
channelUrl	string	Full URL to the channel page
subscriberCount	string	Formatted subscriber count (e.g., "300M subscribers")
totalViews	string	Total lifetime views across all videos
videoCount	integer	Number of public videos uploaded to the channel
channelDescription	string	Channel's About section text
joinDate	string	Date the channel was created
country	string	Country associated with the channel
thumbnailUrl	string	URL of the channel's profile image
scrapedAt	string	ISO 8601 timestamp of when the data was collected

Video data

Field	Type	Description
dataType	string	Record type identifier (video)
channelName	string	Name of the channel that uploaded the video
channelUrl	string	URL of the channel
videoTitle	string	Title of the video
videoUrl	string	Direct link to the video
viewCount	string	Number of views
likeCount	string	Number of likes
commentCount	string	Number of comments
publishDate	string	Date the video was published
duration	string	Video length (e.g., "12:34")
videoDescription	string	Full video description text (up to 2,000 characters)
tags	array	List of tags and keywords assigned to the video
thumbnailUrl	string	URL of the video thumbnail image
scrapedAt	string	ISO 8601 timestamp of when the data was collected

Use cases

• Competitor benchmarking -- Track rival channels over time to understand their growth trajectory, posting frequency, and top-performing content formats.
• Influencer vetting -- Pull real subscriber counts, view averages, and engagement data before committing budget to a creator partnership.
• Content strategy research -- Analyze which topics, titles, thumbnails, and video lengths generate the most views in your niche.
• Market trend analysis -- Build datasets of trending content across multiple channels to identify emerging topics before they peak.
• Academic and media research -- Collect structured YouTube data for studies on media consumption, algorithmic reach, or creator economics.

Input parameters

Parameter	Type	Required	Default	Description
channelUrls	array	No	[]	List of YouTube channel URLs to scrape (e.g., https://www.youtube.com/@MrBeast)
videoUrls	array	No	[]	List of individual video URLs to extract metadata from
maxVideosPerChannel	integer	No	50	Maximum number of videos to collect per channel (1--500)
maxConcurrency	integer	No	3	Number of browser pages to run in parallel (1--10)

At least one channel URL or video URL must be provided.

Example output

{
    "dataType": "channel",
    "channelName": "MrBeast",
    "channelUrl": "https://www.youtube.com/@MrBeast",
    "subscriberCount": "300M subscribers",
    "totalViews": "50.2B views",
    "videoCount": 812,
    "channelDescription": "New videos every Saturday. I do a lot of crazy stuff, but it's all for a good cause.",
    "joinDate": "Feb 20, 2012",
    "country": "United States",
    "thumbnailUrl": "https://yt3.googleusercontent.com/ytc/AIdro...",
    "scrapedAt": "2026-03-01T12:00:00.000Z"
}

{
    "dataType": "video",
    "channelName": "MrBeast",
    "channelUrl": "https://www.youtube.com/@MrBeast",
    "videoTitle": "$1 vs $1,000,000 Hotel Room!",
    "videoUrl": "https://www.youtube.com/watch?v=iogcY_4xGjo",
    "viewCount": "284M views",
    "likeCount": "8.2M",
    "commentCount": "142K",
    "publishDate": "Jan 14, 2026",
    "duration": "18:42",
    "videoDescription": "I stayed in hotels ranging from $1 to $1,000,000...",
    "tags": ["mrbeast", "hotel", "luxury", "challenge", "expensive"],
    "thumbnailUrl": "https://i.ytimg.com/vi/iogcY_4xGjo/maxresdefault.jpg",
    "scrapedAt": "2026-03-01T12:00:00.000Z"
}

How much does it cost?

This actor uses a pay-per-result pricing model. You are charged for each data record (channel or video) that is successfully extracted.

• $0.0015 per result -- that is $1.50 per 1,000 records.
• Scraping one channel profile plus its 50 most recent videos costs approximately $0.077 (51 results total).
• Scraping 10 channels with 100 videos each would cost roughly $1.52.

There are no monthly subscriptions or minimum commitments. You only pay for the data you extract.

Tips and tricks

• Start with a small run. Test with one channel and 10 videos to verify the output format meets your needs before scaling up.
• Use video URLs for detailed data. When you scrape individual video URLs directly, the actor extracts richer metadata including full descriptions, like counts, comment counts, and tags. Videos discovered through a channel listing contain title, views, date, and duration.
• Shorts are included. YouTube Shorts appear in channel video listings alongside regular uploads, so you get a complete picture of a channel's output.
• Schedule recurring runs. Set up a daily or weekly schedule on Apify to track channel growth and new video performance over time. Export results to Google Sheets or a database via Apify integrations.

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