Opendatabay APP

WEBTOON Originals Analytics Dataset

Data Science and Analytics

Tags and Keywords

Webtoon

Comics

Manga

Originals

Entertainment

Trusted By
Trusted by company1Trusted by company2Trusted by company3
WEBTOON Originals Analytics Dataset Dataset on Opendatabay data marketplace

"No reviews yet"

Free

About

This dataset contains information about WEBTOON ORIGINALS, focusing on popular webcomic titles available across multiple languages on the WEBTOON platform. It provides detailed insights into various webtoon characteristics, including their genres, authors, publication schedules, and audience engagement metrics. The data is created by extracting information from the Webtoon API on RapidAPI and then converting the received JSON responses into a structured CSV format. This makes it a valuable resource for examining trends in digital comics, understanding audience preferences, and studying the dynamics of online content publishing.

Columns

The dataset includes the following columns:
  • title_id: The unique identification number for each webtoon title.
  • title: The name of the webtoon.
  • genre: The specific genre or category to which the webtoon belongs.
  • authors: A text string containing a comma-separated list of the webtoon's creators.
  • weekdays: A text string detailing the day(s) of the week when new webtoon episodes are released.
  • length: The total count of free episodes currently available for the webtoon.
  • subscribers: The number of followers for the webtoon, initially referred to as favoriteCount in the API output.
  • rating: The average star rating awarded to the webtoon, referred to as starScoreAverage in the API output.
  • views: The total number of times the webtoon has been read, known as readCount in the API output.
  • likes: The accumulated total of 'likes' from all available episodes, called likeitCount in the API output.
  • status: The current publication state, which can be ONGOING, HIATUS, or COMPLETED.
  • synopsis: A short summary or outline of the webtoon's plot or theme.

Distribution

The dataset is provided in CSV (Comma Separated Values) format. While specific numbers for rows or records are not available in the provided information, separate CSV files are generated for each supported language. These include English (en), Traditional Chinese (zh-hant), Thai (th), Indonesian (id), Spanish (es), French (fr), and German (de). This structure facilitates language-specific analysis of webtoon content and trends.

Usage

This dataset is well-suited for a variety of applications and analytical tasks:
  • Content Analysis: Researchers can explore popular genres, author collaborations, and publication routines across different linguistic versions.
  • Market Research: Information on subscriber counts, ratings, and views can inform content development strategies and indicate market demand for digital comics.
  • Trend Prediction: Identifying emerging patterns in webtoon content and how audiences engage with it.
  • Recommender Systems: Building systems that suggest webtoons to users based on criteria such as genre, author, or popularity metrics.
  • Language Studies: Comparing characteristics and popularity of webtoons across different language markets.

Coverage

The dataset covers WEBTOON ORIGINALS available in several languages on the platform, specifically encompassing English, Traditional Chinese, Thai, Indonesian, Spanish, French, and German. The data reflects the state of these webtoons at the point of extraction from the Webtoon API. The geographical and demographic scope are inherently linked to the user bases of these language editions of the WEBTOON platform. The dataset is expected to be updated monthly.

License

CC0: Public Domain

Who Can Use It

Intended users and their potential uses include:
  • Data Scientists and Analysts: For conducting research on digital media, audience engagement, and content patterns.
  • Developers: To create applications that utilise webtoon data, such as recommendation engines or content aggregation tools.
  • Content Creators and Publishers: To gain insights into successful webtoon features, popular genres, and audience preferences.
  • Academics and Students: For studies in digital humanities, media studies, and computational linguistics related to webcomics.

Dataset Name Suggestions

  • WEBTOON Originals Analytics Dataset
  • Global WEBTOON Series Data
  • Multilingual WEBTOON Content Metrics
  • WEBTOON Platform Originals Collection
  • Digital Webcomics Performance Data

Attributes

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

22/08/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in ZIP Format