On June 17, 2016, Korean education brand Pinkfong released their video "Baby Shark Dance", and the rest is history. In January 2021, Baby Shark Dance became the first YouTube video to surpass 10 billion views, after snatching the crown of most-viewed YouTube video of all time from the former record holder "Despacito" one year before. "Baby Shark Dance" currently has over 16 billion lifetime views on YouTube. Music videos on YouTube “Baby Shark Dance” might be the current record-holder in terms of total views, but Korean artist Psy’s “Gangnam Style” video remained in the top spot for the longest time (1,689 days, or 4.6 years) before ceding its spot to its successor. With figures like these, it comes as little surprise that the majority of the most popular videos on YouTube are music videos. Since 2010, all but one of the most-viewed videos on YouTube have been music videos, signifying the platform’s shift in focus from funny, viral videos to professionally produced content. Popular video content on YouTube Music fans are also highly engaged audiences, and it is not uncommon for music videos to garner significant amounts of traffic within the first 24 hours of release. Other popular types of videos that generate lots of views after their first release are movie trailers, especially superhero movies related to the MCU (Marvel Cinematic Universe). The first official trailer for the upcoming film “Avengers: Endgame” generated 289 million views within the first 24 hours of release, while the movie trailer for Spider-Man: No Way Home generated over 355 views on the first day of release, making it the most viral movie trailer.

As of January 2025, T-Series had reached surpassed 281 billion lifetime video views, making it the most-viewed YouTube channel owner of all time. Popular children's rhymes and song channel Cocomelon followed, with 194 billion lifetime views. Several children-themed channels such as Like Nastya, Kids Diana Show, and Vlad and Niki appeared in the ranking. YouTube is one of the most beloved platforms for children and teens In recent years, video content not only has become one of the most popular types of online formats for children but also one of the highest-performing online categories. The most viewed video on YouTube has been for several years "Baby Shark Dance," published by Korean education brand Pinkfong in June 2016. The catchy rhyme was the first YouTube video to reach and surpass 10 billion views, and as of January 2024 was sitting at 13.93 billion global views. YouTube channels that propose content for children and young teens are also among the most subscribed channels on the platform, with 3D-animation channel Cocomelon counting almost 188 million subscribers worldwide as of January 2025. Children mobile video app usage According to a survey of global parents conducted in September 2021, watching YouTube videos was the most common mobile activity for 54 percent of children, second only to online gaming. Additionally, watching movies and watching content on social media were indicated by 30 percent and 20 percent of parents as usual activities for their children to engage with on mobile devices. In the United States and in the United Kingdom, YouTube and Netflix were the most popular video apps for children to engage with.

YouTube Trending Videos Dataset

Exploring YouTube Trending Videos

By dskl [source]

About this dataset

Moreover it also reveals various engagement metrics such as the number of views the video has received, likes and dislikes it has garnered from viewership. Additionally information related to comment count on particular videos enables analysis regarding viewer interaction and response. Furthermore this dataset describes whether comments or ratings are disabled for a particular video allowing examination into how these factors impact engagement.

By exploring this dataset in-depth marketers can gain valuable insights into identifying trends in content popularity across different countries while taking into account timing considerations based on published day of week. It also opens up avenues for analyzing public sentiment towards specific videos based on likes vs dislikes ratios and comment count which further aids in devising suitable marketing strategies.

Overall,this informative dataset serves as an invaluable asset for researchers,data analysts,and marketers alike who strive to gain deeper understanding about trending video patterns,relevant metrics influencing content virality,factors dictating viewer sentiments,and exploring new possibilities within digital marketing space leveraging YouTube's wide reach

How to use the dataset

How to Use This Dataset: A Guide

In this guide, we will walk you through the different columns in the dataset and provide insights on how you can explore the popularity and engagement of these trending videos. Let's dive in!

Column Descriptions:

• title: The title of the video.
• channel_title: The title of the YouTube channel that published the video.
• publish_date: The date when the video was published on YouTube.
• time_frame: The duration of time (e.g., 1 day, 6 hours) that the video has been trending on YouTube.
• published_day_of_week: The day of week (e.g., Monday) when the video was published.
• publish_country: The country where the video was published.
• tags: The tags or keywords associated with the video.
• views: The number of views received by a particular video
• likes: Number o likes received per each videos
• dislike: Number dislikes receives per an individual vidoe 11.comment_count: number of comments

Popular Video Insights:

To gain insights into popular videos based on this dataset, you can focus your analysis using these columns:

title, channel_title, publish_date, time_frame, and** publish_country**.

By analyzing these attributes together with other engagement metrics such as views ,likes,**dislikes,**comments),comment_count you can identify trends in what type content is most popular both globally or within specific countries.

For instance: - You could analyze which channels are consistently publishing trending videos - Explore whether certain types of titles or tags are more likely to attract views and engagement. - Determine if certain days of the week or time frames have a higher likelihood of trending videos being published.

Engagement Insights:

To explore user engagement with the trending videos, you can focus your analysis on these columns:

likes, dislikes, comment_count

By analyzing these attributes you can get insights into how users are interacting with the content. For example: - You could compare the like and dislike ratios to identify positively received videos versus those that are more controversial. - Analyze comment counts to understand how users are engaging with the content and whether comments being disabled affects overall

Research Ideas

• Analyzing the popularity and engagement of trending videos: By analyzing the number of views, likes, dislikes, and comments, we can understand which types of videos are popular among YouTube users. We can also examine factors such as comment count and ratings disabled to see how viewers engage with trending videos.
• Understanding video trends across different countries: By examining the publish country column, we can compare the popularity of trending videos in different countries. This can help content creators or marketers understand regional preferences and tailor their content strategy accordingly.
• Studying the impact of video attributes on engagement: By exploring the relationship between video attributes (such as title, tags, publish day) and engagement metrics (views, likes), we can identify patterns or trends that influence a video's success on YouTube. This information can be...

About Dataset

Context

This dataset ranks the top 1000 most viewed YouTube videos of all time, as of April 2026. It covers everything from music videos and kids content to YouTube Shorts and promotional material, giving a broad picture of what dominates attention on the platform.

Content

Each row represents one video with the following columns:

Key Highlights

• Baby Shark Dance holds the #1 spot with 16.8 billion views, nearly double Despacito at 8.97B
• Music videos dominate, followed by kids/educational content
• YouTube Shorts appear in the top 1000, showing rising short-form impact
• Titles span over 9 languages, with English most common
• Views and likes are stored in abbreviated formats (B, M, K)

Potential Use Cases

• Analyze distribution of views and engagement
• Compare Shorts vs regular videos performance
• Identify dominant content types and languages
• Study ranking decay from #1 to #1000
• Build classifiers using title features

Top 50 latest trending videos on YouTube across 113 countries. With daily updates, this dataset provides comprehensive information about the top trending videos, including daily rankings, movement trends, view counts, likes, comments, and more

If you find this dataset valuable, don't forget to hit the upvote button! 😊💝

My Other Datasets:

Top Spotify Songs in 73 Countries

Wages by Education in the USA

Amazon Products Dataset 2023 (1.4M Products)

Full TMDB Movies Dataset 2023

Interesting Task Ideas:

1. Identify the most popular video categories based on daily trending rankings.
2. Analyze daily video movements to uncover sudden spikes or drops in popularity.
3. Discover which countries have the most consistent or volatile trending videos.
4. Track the performance of specific YouTube channels across different countries.
5. Analyze engagement metrics such as likes, comments, and view counts to determine audience preferences.
6. Analyze the movement trends of videos to identify the most resilient and consistently trending content
7. Visualize the distribution of video languages across different countries.
8. Do sentiment analyisis on video titles to see what emotions generate the most views

Photo by Alexander Shatov on Unsplash

As of October 17, 2023, "Shake it Off" was Taylor Swift's most viewed video on Youtube, with over *** billion views. The music videos for "Blank Space" and "Bad Blood ft. Kendrick Lamar" ranked second and third, respectively.

YouTube Comments Dataset: Top 10 Most Viewed Music Videos

Overview

This dataset contains raw, unprocessed YouTube comments from 10 of the most viewed music videos on the platform. The data is provided in its original JSON format to allow researchers and analysts maximum flexibility in processing and analyzing the comments according to their specific needs.

Dataset Description

What's Included

• Total Videos: 10 music videos
• Format: JSON files (one per video)
• Total Comments: Over 4 million comments (including replies)
• Data Collection Period: 2024-2025
• Languages: Multi-language (primarily English, but includes comments in various languages)

Music Videos Included

This dataset contains comments from the following 10 highly popular music videos:

1. Crazy Frog - Axel F
2. Ed Sheeran - Perfect
3. Ed Sheeran - Shape of You
4. Justin Bieber - Sorry
5. Katy Perry - Roar
6. Maroon 5 - Sugar
7. OneRepublic - Counting Stars
8. Wiz Khalifa ft. Charlie Puth - See You Again
9. Shakira - Waka Waka (This Time for Africa)
10. Bruno Mars - Uptown Funk

These videos collectively have billions of views and represent some of the most engaged-with music content on YouTube.

Why These Videos? - Diversity: Mix of pop, hip-hop, dance, and novelty music - Global Appeal: Artists from US, UK, and Colombia with worldwide fanbases - Viral Phenomena: Includes internet sensations (Crazy Frog) and cultural moments (Waka Waka - World Cup 2010) - Chart Toppers: Multiple #1 hits across various countries - Engagement Leaders: Consistently high comment activity spanning multiple years

File Structure

Each JSON file contains an array of comment objects with the following structure:

{
 "comment_id": "UgxSQ07BhOyGX4ce0EF4AaABAg",
 "author": "@username",
 "author_channel_id": "UC4XR0EZ0oHwSV",
 "text": "This song is amazing!",
 "like_count": 1234,
 "published_at": "2023-11-30T11:38:47+00:00",
 "updated_at": "2023-11-30T11:38:47+00:00",
 "reply_count": 5,
 "is_reply": false,
 "parent_id": null
}

Field Descriptions

Data Characteristics

Volume Statistics (Approximate)

• Total comments across all videos: ~4-5 million
• Top-level comments: ~3.5 million
• Reply comments: ~1 million
• Unique commenters: ~3-4 million
• Average comment length: 50-150 characters
• Date range: Mid-2008 to Late 2025

Data Quality Notes

• Raw and Unfiltered: Comments include all languages, emojis, special characters, and Unicode text
• Mixed Languages: While predominantly English, comments appear in Spanish, Portuguese, Arabic, Asian languages, and many others
• Spam/Bot Comments: May be present in the dataset
• Deleted Comments: Not included (only active comments at time of collection)
• User Privacy: Only public information available through YouTube's API is included

Why Raw Format?

This dataset is intentionally provided in raw, unprocessed format for several important reasons:

1. Maximum Flexibility

Different research questions require different preprocessing approaches. By providing raw data, users can: - Apply their own language filtering criteria - Choose their own text cleaning methods - Define custom engagement metrics - Implement domain-specific preprocessing

2. Preserve Original Information

Raw data preserves: - Original text encoding and special characters - Exact timestamps without timezone conversions - Complete conversation threads (parent-reply relationships) - All metadata fields for custom analysis

3. Support Diverse Use Cases

Raw format supports varied applications: - Multi-language sentiment analysis - Cross-cultural communication studies - Spam/bot detection research - Temporal analysis with custom time binning - Network analysis of comment interactions

4. Reproducibility

Researchers can document and reproduce their exact preprocessing pipeline, ensuring: - Transparent methodology - Comparable results across studies - Custom preprocessing for specific...

Comprehensive YouTube channel statistics for TikTok Most Watched, featuring 189,000 subscribers and 64,862,282 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Entertainment category and is based in US. Track 1,062 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

As of January 2026, T-Series was the most watched YouTube channel with ****** million views, while Cocomelon ranked second with over ****** million video views. Other notable channels include SET India and Sony SAB. Most subscribed YouTube channels Although Indian music label T-Series dominated video views, MrBeast was by far the most-subscribed YouTube channel as of January 2026. Jimmy Donaldson amassed millions of subscribers by featuring extravagant stunts and expensive productions, including recreating the popular Korean drama series Squid Games. Creators' earnings MrBeast was also the highest-earning YouTuber as of April 2025, earning roughly ** million U.S. dollars. Ryan Kaji from Ryan's World was among the youngest content creators making the rankings of the highest-earning YouTubers that period, with an estimated revenue of ** million U.S. dollars. Ryan’s channel was set up by his parents in March 2015, when the young content creator was three years old.

In 2023, French content creator and internet personalities Squeezie had the most watched video on the YouTube platform. His "Who is the impostor" video generated approximately 26.1 million views among users. The survival video published by Inoxtag and titled "48H to Survive a Zombie Invasion" was the second most watched video published by a French creator on YouTube in 2023.

Perfect to find Trends and Patterns for researchers from the most out of this dataset. Dataset contain 9 columns 1) Rank:- Rank of the video on Youtube. 2) Video:- Name of a Video 3) Made By:- Who Made this video 4) Producer Type:- Which Category this video Belong 5) Upload Date:- Date the video get uploaded 6) Lifetime Views:- Views Video got all the time since it's uploaded 7) Geography:- From which Country it's uploaded 8) Language:- Language of the Video 9) Length:- Duration/Runtime of the Video

Acknowledgments: This Dataset is collected from Videoamigo

About Dataset UPDATE: Source code used for collecting this data released here

Context YouTube (the world-famous video sharing website) maintains a list of the top trending videos on the platform. According to Variety magazine, “To determine the year’s top-trending videos, YouTube uses a combination of factors including measuring users interactions (number of views, shares, comments and likes). Note that they’re not the most-viewed videos overall for the calendar year”. Top performers on the YouTube trending list are music videos (such as the famously virile “Gangam Style”), celebrity and/or reality TV performances, and the random dude-with-a-camera viral videos that YouTube is well-known for.

This dataset is a daily record of the top trending YouTube videos.

Note that this dataset is a structurally improved version of this dataset.

Content This dataset includes several months (and counting) of data on daily trending YouTube videos. Data is included for the US, GB, DE, CA, and FR regions (USA, Great Britain, Germany, Canada, and France, respectively), with up to 200 listed trending videos per day.

EDIT: Now includes data from RU, MX, KR, JP and IN regions (Russia, Mexico, South Korea, Japan and India respectively) over the same time period.

Each region’s data is in a separate file. Data includes the video title, channel title, publish time, tags, views, likes and dislikes, description, and comment count.

The data also includes a category_id field, which varies between regions. To retrieve the categories for a specific video, find it in the associated JSON. One such file is included for each of the five regions in the dataset.

For more information on specific columns in the dataset refer to the column metadata.

Acknowledgements This dataset was collected using the YouTube API.

Inspiration Possible uses for this dataset could include:

Sentiment analysis in a variety of forms Categorising YouTube videos based on their comments and statistics. Training ML algorithms like RNNs to generate their own YouTube comments. Analysing what factors affect how popular a YouTube video will be. Statistical analysis over time. For further inspiration, see the kernels on this dataset!

As of June 2024, Colombian superstar Shakira's most watched music videos on YouTube were the 2010 FIFA World Cup song "Waka Waka (This Time for Africa)" and "Chantaje", with Colombian artist Maluma, registering 3.96 billion and 2.96 billion views each. Shakira was already among the most famous Latin artists on YouTube, being the only female artist to appear twice in the top ten most viewed music videos by Latin American artists. Numbers (and hips) don’t lie Besides being one of the artists with the highest number of Latin Grammy awards and owning some of the most popular Facebook and Instagram accounts worldwide, Shakira has a new milestone in her career. Released on January 12, 2023, her new single “Bzrp Music Sessions #53" video, a collaboration with Argentinian producer Bizarrap, broke the world record of the most watched new song from a Latin artist on YouTube, reaching more than 82 million views in its first 24 hours. As of January 25, 2023, the video already registered more than 194 million views on the platform. A record-breaking heartbreak Informally known as "Out of Your League", in a rough translation of one of its verses, Shakira’s new single is a jibe at her break-up with Barcelona's football player Gerard Piqué in 2022, where among many provocations, the singer compared herself to a Rolex and Piqué’s girlfriend to a Casio watch. Four days after its release, the sole mention of Casio and Rolex brands in her new track generated respective amounts of 70 and 40 million U.S. dollars in Media Impact Value (MIV) for the companies.

As of January 2025, the most popular video on BLACKPINK's YouTube channel was the official music video for the song "DDU-DU DDU-DU", which has accrued around *** billion views since the video was released in June of 2018. Over half of the most popular videos had more than a billion views.

As of January 2025, the most viewed YouTube channel in Mexico was YOLO AVENTURAS, with more than ***** billion video views. It was followed by Masha y el Oso, with around ***** billion views. YOLO AVENTURAS was also the second YouTube channel with most subscribers in Mexico.

Trending YouTube Videos in India Dataset Dataset Description This dataset contains a comprehensive list of trending YouTube videos in India. The data is collected to provide insights into the most popular content on YouTube, including various metrics that determine the popularity and engagement of each video.

Columns Description video_id: The unique identifier for each video. title: The title of the video. description: A brief description provided by the video creator. published_at: The date and time when the video was published on YouTube. channel_id: The unique identifier for the channel that uploaded the video. channel_title: The name of the channel that uploaded the video. category_id: The category ID assigned to the video by YouTube. tags: A list of tags associated with the video. duration: The length of the video. definition: The video quality (e.g., HD or SD). caption: Indicates if the video has captions. view_count: The number of views the video has received. like_count: The number of likes the video has received. dislike_count: The number of dislikes the video has received. favorite_count: The number of times the video has been favorited. comment_count: The number of comments on the video. category_name: The name of the category assigned to the video. Potential Uses Trend Analysis: Identify trends in video content and viewer preferences over time. Content Strategy: Help content creators understand what types of videos are gaining popularity and engagement. Market Research: Provide insights into consumer behavior and preferences in India. Data Analysis and Visualization: Ideal for practicing data analysis and creating visualizations to interpret YouTube trends. Example Analyses Most Viewed Videos: Find out which videos have the highest view counts. Engagement Metrics: Analyze which videos have the highest likes, dislikes, and comments. Category Popularity: Determine which categories of videos are most popular. Time Series Analysis: Explore how the popularity of videos changes over time. This dataset is a valuable resource for anyone interested in understanding YouTube trends and viewer engagement in India. Whether you are a data scientist, marketer, or content creator, this dataset can provide the insights needed to stay ahead in the dynamic world of online video content.

Comprehensive ranking dataset of the top 100 YouTube channels worldwide. This dataset features 100 channels with detailed statistics including subscriber counts, total video views, video count, and global rankings. The leading channel has 473,000,000 subscribers and 115,915,332,693 total views. Each entry includes comprehensive metrics to analyze channel performance, growth trends, and competitive positioning. This dataset is regularly updated to reflect the latest YouTube channel statistics and ranking changes, providing valuable insights for content creators, marketers, and researchers analyzing YouTube ecosystem trends and channel performance benchmarks.

As of June 2024, the music video of Luis Fonsi's and Daddy Yankee's "Despacito" had a total of 8.47 billion views, being the most-watched video on YouTube by a Latin American artist and the second most-viewed video of all time. It was also the first video in the history of YouTube to surpass six billion views, already in 2017. Another Reggaeton artist, Panamanian El Chombo, ranked second with "Dame Tu Cosita" (featuring Jamaican singer Cutty Ranks), with more than 4.68 billion views. Among Latin American artists, Shakira was the only female pop star to appear twice in the top ten, ranking third with the official song of the 2010 FIFA World Cup, "Waka Waka", and sixth with "Chantaje" (featuring fellow Colombian singer Maluma).

A musical match… The popularity of Latin artists on YouTube is not just a matter of cultural success, but also a case of the medium being part of the message. Mostly free and easily accessible on desktop and mobile devices, the video platform is one of the defining aspects of social media usage in the Caribbean. YouTube is omnipresent in the Latin American online video landscape, with markets like Brazil and Mexico being the platform’s third and fifth-largest markets worldwide.

… for those who can watch it. The growth of mobile connectivity in Latin America and the Caribbean indeed helps the expansion of social and media platforms like YouTube, but structural problems on the continent might still hinder part of its population’s access to its cultural production. The homeland of Shakira, Colombia, has much higher access to YouTube on desktop devices than on mobile, highlighting the country’s regional differences in internet penetration. Nonetheless, the overall imbalance in the region’s purchase power makes YouTube’s free version much more accepted than its paid premium format.

This dataset contains data related to most watched YouTube videos till April 2024 . This contains different columns namely views,artist,channel,etc. The data is ranked on the basis of number of views.

Welcome to the dataset "Most Viewed Videos in the Past 24 Hours," a curated collection of video data that provides a snapshot of viral content and trending videos within a 24-hour time frame. This dataset offers valuable insights into the dynamic world of online video consumption, showcasing the videos that have captured the attention of viewers over this short yet critical period.

Columns:

1. Video: The "Video" column contains the titles or unique identifiers of the videos that were the most viewed in the past 24 hours. Each row in this column represents a specific video that gained significant attention during this time frame. It serves as the primary identifier for the videos in the dataset.

2. Views: The "Views" column represents the number of times each video has been viewed in the past 24 hours. This metric quantifies the popularity and immediate attention a video has received within this specific time window. It provides insights into the viral or trending nature of the videos.

3. Likes: The "Likes" column contains data on the number of likes or thumbs-up reactions that each video has received in the past 24 hours. This metric reflects the positive engagement and approval of viewers for the respective videos. It is a valuable indicator of audience sentiment and appreciation.

This dataset is a valuable resource for researchers, content creators, marketers, and anyone interested in understanding the real-time dynamics of online video trends. It offers a glimpse into the content that resonates with audiences and gains rapid popularity, shedding light on the factors that contribute to video virality in the digital age.

Whether you're looking to study viral trends, analyze audience behavior, or identify patterns in video consumption, this dataset provides a comprehensive view of the most viewed and liked videos within a 24-hour time frame. Explore, analyze, and uncover the stories behind the videos that captivated online audiences in this brief yet impactful window of time.