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What is YouTube Scraper?
Extract YouTube video stats, comments, channel details, and subtitles for video marketing research. Export to Excel, CSV, or JSON.
The YouTube Scraper is a vital data extraction tool designed for video marketers, content creators, and brand researchers. It allows you to scrape extensive data from YouTube without dealing with the restrictive quotas of the official YouTube Data API. You can extract comprehensive details from individual videos (views, likes, precise publication dates, descriptions), scrape entire channels to analyze a creator's upload history and most popular content, or extract thousands of viewer comments for deep sentiment analysis. Furthermore, this scraper can extract automatically generated or manual subtitles/captions, making it incredibly powerful for building natural language datasets or analyzing video scripts at scale.
Key Features
- Scrape completely public video metadata (Title, Description, Views, Likes)
- Extract all videos from specific YouTube Channels or Playlists
- Download thousands of user comments and their top replies
- Extract video subtitles/closed captions (CC) in available languages
- Search videos by keywords with complex sorting filters
- Scrape YouTube Shorts data alongside regular videos
- No YouTube account or Google API key required
How to Extract Data (Step by Step)
Extracting data using the YouTube Scraper is incredibly straightforward. It runs entirely in the cloud, meaning you don't need to install any desktop software.
- Click the 'Try for Free' button to open the YouTube Scraper on Apify.
- Log in to your Apify account or create one for free.
- Paste your target YouTube URLs (Videos, Channels, or Playlists) or enter search keywords.
- Configure specific settings like adjusting the maximum results, or enabling comment/subtitle extraction.
- Click the green 'Start' button and wait for the extraction.
- Navigate to the Storage tab to download your video data or transcripts in JSON, CSV, or Excel.
Ready to start extracting data?
Join thousands of businesses relying on this tool every week.
Run YouTube Scraper NowWhat does the exported data look like?
You can export the results into Excel, CSV, JSON, or HTML. Here is a sample of what the raw JSON data looks like:
{
"id": "dQw4w9WgXcQ",
"url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
"title": "Rick Astley - Never Gonna Give You Up (Official Music Video)",
"channelName": "Rick Astley",
"channelUrl": "https://www.youtube.com/@RickAstleyYT",
"subscribers": 4500000,
"views": 1500000000,
"likes": 18000000,
"date": "2009-10-25T00:00:00Z",
"duration": "3:33",
"description": "The official video for 'Never Gonna Give You Up'...",
"thumbnailUrl": "https://i.ytimg.com/vi/dQw4w9WgXcQ/maxresdefault.jpg",
"commentsCount": 980000
}