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YouTube: music videos of the 2010s
One row per video: views, likes, likes per thousand views, length, publish date, category, tags, the list of caption languages and the number of countries it is available in. This sheet holds a decade of music videos, so the publish date column spans years and the like ratio can be compared across a single genre rather than across the whole site.
YouTube Video Data Scraper - Views, Likes & Change Monitorneverempty/youtube-video-data-scraper
Video Id
Title
View Count
Like Count
+33 fieldsTextNumberBooleanListObject
Input
Videos:https://www.youtube.com/watch?v=09R8_2nJtjg+4
Maximum videos to return:50
Monitoring mode: return a video only when its numbers change:false
What counts as a change:any-change
Forget what was remembered and start over:false
Minimum views:0
Maximum views:0
Minimum length (seconds):0
Maximum length (seconds):0
Only videos that have captions:false
Skip live content:false
Keywords
Keyword match:any
Exclude keywords
Use a proxy:true
Output fields
Video Id
Title
View Count
Like Count
View Delta
Channel Title
Published At
Length Seconds
Source
Status
Scraped At
Input
Video Url
Description
Channel Id
Channel Url
Subscriber Count Text
Likes Per Thousand Views
Published At Raw
Category
Keywords
Is Live Content
Is Family Safe
Allow Ratings
Has Captions
Caption Languages
Available Country Count
Thumbnail Url
Playability Status
Playability Reason
Is First Check
Previous Checked At
Previous View Count
Like Delta
Changed Fields
Search Url
Note
Sign up on Apify01
Create your Apify account to access the YouTube Video Data Scraper - Views, Likes & Change Monitor.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
