YouTube: the videos that started it
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 the earliest viral uploads, which is the clearest way to see the publish date and length columns doing their job on videos measured in seconds rather than minutes.
Input
Output fields
Sign up on Apify or log in
The YouTube Video Data Scraper - Views, Likes & Change Monitor Actor is ready to run with the inputs already set for "YouTube: the videos that started it". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "YouTube: the videos that started it" task
The YouTube Video Data Scraper - Views, Likes & Change Monitor Actor will start running based on the input automatically. You can also change all the input fields, like videos, maximum videos to return, and more, to match your specific use case.
Receive the "YouTube: the videos that started it" 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 video id, title, view count, 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: the videos that started it" task via API.
