Context

Webtoon is the largest Web-comic community in the world, averaging more than 50 million monthly active users, with 10 million daily readers. Many people want to make a recommendation system for it or analyze its data. Therefore, I scrapped the information of more than 500 webtoon originals and uploaded it for anyone to use.

Content

Webtoon Dataset.csv

• id - Unique id identifying the comic.
• Name - full name of the comic.
• Writer- Author of the comic.
• Likes- Total no. of Likes
• genre - genres for comic.
• rating - an average rating out of 10 for the comic.
• Subscribers- Total no. of subscribers
• Summary- Summary of the comic
• Update - Day of the week for an update
• Reading Link- Link where you can read the comic

Acknowledgements

Thanks to webtoon.com and python libraries I was able to scrape this data.

Inspiration

Building a better webtoon recommendation system or perform data analysis