This dataset contains information about trending YouTube videos, including details about the videos and their respective channels. The data is collected daily and provides insights into video performance, audience engagement, and channel characteristics across different countries. Below is a detailed description of each column:

Video Information

1. video_id: Unique identifier for the video on YouTube.
2. video_published_at: The date and time when the video was published.
3. video_trending_date: The date when the video was identified as trending.
4. video_trending_country: The country where the video is trending (ISO 3166-1 alpha-2 country code, e.g., "US" for the United States).
5. video_title: The title of the video as displayed on YouTube.
6. video_description: The description provided by the video creator.
7. video_default_thumbnail: URL of the default thumbnail for the video.
8. video_category_id: Numeric ID representing the category of the video (e.g., Music, Gaming, etc.).
9. video_tags: List of tags associated with the video for categorization and discoverability.
10. video_duration: Duration of the video in ISO 8601 format (e.g., "PT10M15S" for 10 minutes and 15 seconds).
11. video_dimension: Dimension of the video (e.g., "2d", "3d").
12. video_definition: Video resolution quality (e.g., "hd" for high definition, "sd" for standard definition).
13. video_licensed_content: Boolean indicating if the video contains licensed content.
14. video_view_count: Total number of views for the video.
15. video_like_count: Total number of likes for the video.
16. video_comment_count: Total number of comments on the video.

Channel Information

1. channel_id: Unique identifier for the YouTube channel.
2. channel_title: The name/title of the channel.
3. channel_description: Description provided by the channel owner.
4. channel_custom_url: Custom URL for the channel (if available).
5. channel_published_at: The date and time when the channel was created.
6. channel_country: The country associated with the channel (if specified by the creator).
7. channel_view_count: Total number of views across all videos on the channel.
8. channel_subscriber_count: Total number of subscribers to the channel.
9. channel_have_hidden_subscribers: Boolean indicating if the channel has hidden its subscriber count.
10. channel_video_count: Total number of videos uploaded by the channel.
11. channel_localized_title: The localized title of the channel (if available in a different language).
12. channel_localized_description: The localized description of the channel (if available in a different language).

Potential Applications

This dataset is a rich resource for analyzing YouTube video and channel trends. Here are some potential use cases:

1. Trend Analysis:

   • Identify trending content in specific countries or globally.
   • Explore the relationship between publishing time and trending status.

2. Audience Engagement Insights:

   • Analyze the correlation between video views, likes, and comments.
   • Understand the impact of video tags, duration, or definition on engagement.

3. Content Category Insights:

   • Explore how different video categories perform over time.
   • Analyze the popularity of certain categories in specific regions.

4. Channel Growth Analysis:

   • Study how trending videos impact channel subscriber growth.
   • Analyze the characteristics of successful channels (e.g., average video duration, view count, etc.).

5. Machine Learning Projects:

   • Predict the likelihood of a video trending based on its metadata.
   • Cluster videos or channels based on similarities in tags, categories, and engagement metrics.

6. Business Applications:

   • Help content creators and marketers understand audience preferences.
   • Use data to guide video production strategies for better engagement.

Additional Notes

This dataset can be combined with other external datasets, such as demographic or social media engagement data, for broader analyses. It is particularly suitable for projects related to content strategy, audience analysis, or even recommendation system development for platforms similar to YouTube.

This dataset contains trending YouTube videos collected from multiple countries using the YouTube API. It includes key metadata such as video titles, channels, views, likes, comments, and publication dates. The dataset focuses on identifying popular content trends across different regions, helping analyze which creators, topics, or videos gain traction globally.

It covers data from countries like the US, UK, India, Canada, Australia, South Korea, and Hong Kong, with daily updates. This dataset can be used for trend analysis, content strategy insights, and audience engagement studies.

COLUMNS - 0 video_id non-null object - 1 title non-null object - 2 channel non-null object - 3 country non-null object - 4 views non-null int64 - 5 likes non-null int64 - 6 comments non-null int64 - 7 published_at non-null object - 8 fetch_date non-null object

List of countries: COUNTRIES = [ "AE", "AR", "AT", "AU", "AZ", "BE", "BG", "BH", "BO", "BR", "BY", "CA", "CH", "CL", "CO", "CR", "CZ", "DE", "DK", "DO", "DZ", "EC", "EE", "EG", "ES", "FI", "FR", "GB", "GR", "GT", "HK", "HN", "HR", "HU", "ID", "IE", "IL", "IN", "IQ", "IS", "IT", "JM", "JO", "JP", "KE", "KR", "KW", "KZ", "LB", "LT", "LU", "LV", "LY", "MA", "ME", "MK", "MT", "MX", "MY", "NG", "NL", "NO", "NZ", "OM", "PA", "PE", "PH", "PK", "PL", "PT", "PY", "QA", "RO", "RS", "RU", "SA", "SE", "SG", "SI", "SK", "SN", "SV", "TH", "TN", "TR", "TW", "UA", "US", "UY", "VE", "VN", "YE", "ZA" ]

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

UPDATED: https://www.kaggle.com/datasnaek/youtube-new

SOURCE: https://github.com/DataSnaek/Trending-YouTube-Scraper

Plan

Data collected from the (up to) 200 listed trending YouTube videos every day in the US and the UK.

Description

The dataset includes data gathered from videos on YouTube that are contained within the trending category each day.

There are two kinds of data files, one includes comments and one includes video statistics. They are linked by the unique video_id field.

The headers in the video file are:

• video_id (Common id field to both comment and video csv files)
• title
• channel_title
• category_id (Can be looked up using the included JSON files, but varies per region so use the appropriate JSON file for the CSV file's country)
• tags (Separated by | character, [none] is displayed if there are no tags)
• views
• likes
• dislikes
• thumbnail_link
• date (Formatted like so: [day].[month])

The headers in the comments file are:

• video_id (Common id field to both comment and video csv files)
• comment_text
• likes
• replies

Extra info: The YouTube API is not effective at formatting comments by relevance, although it claims to do so. As a result, the most relevant comments do not align with the top comments at all, they aren't even sorted by likes or replies.

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 to generate their own YouTube comments.
• Analysing what factors affect how popular a YouTube video will be.

Although there are likely many more possibilities, including analysis of changes over time etc.

Description

Welcome to the captivating realm of YouTube stardom, where this meticulously curated dataset unveils the statistics of the most subscribed YouTube channels. A collection of YouTube giants, this dataset offers a perfect avenue to analyze and gain valuable insights from the luminaries of the platform. With comprehensive details on top creators' subscriber counts, video views, upload frequency, country of origin, earnings, and more, this treasure trove of information is a must-explore for aspiring content creators, data enthusiasts, and anyone intrigued by the ever-evolving online content landscape. Immerse yourself in the world of YouTube success and unlock a wealth of knowledge with this extraordinary dataset.

For more related datasets:
Global Missing Migrants Dataset( New ) 🛑
"https://www.kaggle.com/datasets/nelgiriyewithana/global-weather-repository">Global Weather Repository ( Daily snapshot ) ( New )🛑
"https://www.kaggle.com/datasets/nelgiriyewithana/indian-weather-repository-daily-snapshot">Indian Weather Repository ( Daily snapshot ( New ) ) 🛑

Key Features

• rank: Position of the YouTube channel based on the number of subscribers
• Youtuber: Name of the YouTube channel
• subscribers: Number of subscribers to the channel
• video views: Total views across all videos on the channel
• category: Category or niche of the channel
• Title: Title of the YouTube channel
• uploads: Total number of videos uploaded on the channel
• Country: Country where the YouTube channel originates
• Abbreviation: Abbreviation of the country
• channel_type: Type of the YouTube channel (e.g., individual, brand)
• video_views_rank: Ranking of the channel based on total video views
• country_rank: Ranking of the channel based on the number of subscribers within its country
• channel_type_rank: Ranking of the channel based on its type (individual or brand)
• video_views_for_the_last_30_days: Total video views in the last 30 days
• lowest_monthly_earnings: Lowest estimated monthly earnings from the channel
• highest_monthly_earnings: Highest estimated monthly earnings from the channel
• lowest_yearly_earnings: Lowest estimated yearly earnings from the channel
• highest_yearly_earnings: Highest estimated yearly earnings from the channel
• subscribers_for_last_30_days: Number of new subscribers gained in the last 30 days
• created_year: Year when the YouTube channel was created
• created_month: Month when the YouTube channel was created
• created_date: Exact date of the YouTube channel's creation
• Gross tertiary education enrollment (%): Percentage of the population enrolled in tertiary education in the country
• Population: Total population of the country
• Unemployment rate: Unemployment rate in the country
• Urban_population: Percentage of the population living in urban areas
• Latitude: Latitude coordinate of the country's location
• Longitude: Longitude coordinate of the country's location

Potential Use Cases

• YouTube Analytics: Gain valuable insights into the success factors of top YouTube channels and understand what sets them apart from the rest.
• Content Strategy: Discover the most popular categories and upload frequencies that resonate with audiences.
• Regional Influencers: Identify influential YouTube creators from different countries and analyze their impact on a global scale.
• Earnings Analysis: Explore the correlation between channel performance and estimated earnings.
• Geospatial Visualization: Visualize the distribution of successful YouTube channels on a world map and uncover geographical trends.
• Trending Topics: Investigate how certain categories gain popularity over time and correlate with world events.

Data Source: The dataset was meticulously compiled from various reputable sources, ensuring accuracy and reliability of the information presented.

If you find this dataset helpful, your support through an upvote would be deeply appreciated ❤️

Comprehensive YouTube channel statistics for RJ UPLOADED, featuring 200,000 subscribers and 33,949,706 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in IN. Track 484 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.

This dataset provides comprehensive information about daily view statistics for videos on BLACKPINK's YouTube channel. The dataset includes the following attributes:

• date: The date when the data was collected.
• time: The time of data collection.
• id: The unique identifier for each video on BLACKPINK's YouTube channel.
• title: The title of the video, describing its content.
• kind: Indicates the type of video, such as 'Music Video,' 'Dance Practice,' or 'Performance.'
• viewCount: The total number of views the video has received up to the recorded date.
• likeCount: The total number of likes (thumbs up) the video has received.
• commentCount: The total number of comments posted on the video.
• artist: The artist associated with the video, which can be BLACKPINK or one of its members: JENNIE, ROSÉ, JISOO, or LISA.

Data Collection Method: The dataset is collected using an API and automated with GitHub Actions. Data is updated daily, ensuring that the information is current and reflects the latest statistics for BLACKPINK's YouTube channel.

For the most up-to-date dataset, you can visit the following link: https://drive.google.com/drive/u/1/folders/1V0nalgEsFb5tMQ1JQTj6a-vrgRR-A-aZ

Comprehensive YouTube channel statistics for Loaded Boards, featuring 219,000 subscribers and 75,150,323 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in US. Track 700 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.

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 452,000,000 subscribers and 101,598,825,577 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.

How much time do people spend on social media?

              As of 2024, the average daily social media usage of internet users worldwide amounted to 143 minutes per day, down from 151 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of three hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in
              the U.S. was just two hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively.
              People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general.
              During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

This dataset is a daily record of the top trending YouTube videos and it will be updated daily.

Context

YouTube 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”.

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 IN, US, GB, DE, CA, FR, RU, BR, MX, KR, and JP regions (India, USA, Great Britain, Germany, Canada, France, Russia, Brazil, Mexico, South Korea, and, Japan respectively), with up to 200 listed trending videos per day.

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 11 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. This dataset is the updated version of Trending YouTube Video Statistics.

Inspiration

Possible uses for this dataset could include: - Sentiment analysis in a variety of forms - Categorizing YouTube videos based on their comments and statistics. - Training ML algorithms like RNNs to generate their own YouTube comments. - Analyzing what factors affect how popular a YouTube video will be. - Statistical analysis over time.

For further inspiration, see the kernels on this dataset!

Comprehensive YouTube channel statistics for Current Affairs Updated, featuring 1,140,000 subscribers and 90,658,822 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Education category and is based in IN. Track 2,309 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.

In the fourth quarter of 2024, TikTok generated around 186 million downloads from users worldwide. Initially launched in China first by ByteDance as Douyin, the short-video format was popularized by TikTok and took over the global social media environment in 2020. In the first quarter of 2020, TikTok downloads peaked at over 313.5 million worldwide, up by 62.3 percent compared to the first quarter of 2019.

              TikTok interactions: is there a magic formula for content success?

              In 2024, TikTok registered an engagement rate of approximately 4.64 percent on video content hosted on its platform. During the same examined year, the social video app recorded over 1,100 interactions on average. These interactions were primarily composed of likes, while only recording less than 20 comments per piece of content on average in 2024.
              The platform has been actively monitoring the issue of fake interactions, as it removed around 236 million fake likes during the first quarter of 2024. Though there is no secret formula to get the maximum of these metrics, recommended video length can possibly contribute to the success of content on TikTok.
              It was recommended that tiny TikTok accounts with up to 500 followers post videos that are around 2.6 minutes long as of the first quarter of 2024. While, the ideal video duration for huge TikTok accounts with over 50,000 followers was 7.28 minutes. The average length of TikTok videos posted by the creators in 2024 was around 43 seconds.

              What’s trending on TikTok Shop?

              Since its launch in September 2023, TikTok Shop has become one of the most popular online shopping platforms, offering consumers a wide variety of products. In 2023, TikTok shops featuring beauty and personal care items sold over 370 million products worldwide.
              TikTok shops featuring womenswear and underwear, as well as food and beverages, followed with 285 and 138 million products sold, respectively. Similarly, in the United States market, health and beauty products were the most-selling items,
              accounting for 85 percent of sales made via the TikTok Shop feature during the first month of its launch. In 2023, Indonesia was the market with the largest number of TikTok Shops, hosting over 20 percent of all TikTok Shops. Thailand and Vietnam followed with 18.29 and 17.54 percent of the total shops listed on the famous short video platform, respectively.

The global number of Facebook users was forecast to continuously increase between 2023 and 2027 by in total 391 million users (+14.36 percent). After the fourth consecutive increasing year, the Facebook user base is estimated to reach 3.1 billion users and therefore a new peak in 2027. Notably, the number of Facebook users was continuously increasing over the past years. User figures, shown here regarding the platform Facebook, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

YouTube was created in 2005, with the first video – Me at the Zoo - being uploaded on 23 April 2005. Since then, 1.3 billion people have set up YouTube accounts. In 2018, people watch nearly 5 billion videos each day. People upload 300 hours of video to the site every minute.

According to 2016 research undertaken by Pexeso, music only accounts for 4.3% of YouTube’s content. Yet it makes 11% of the views. Clearly, an awful lot of people watch a comparatively small number of music videos. It should be no surprise, therefore, that the most watched videos of all time on YouTube are predominantly music videos.

On August 13, BTS became the most-viewed artist in YouTube history, accumulating over 26.7 billion views across all their official channels. This count includes all music videos and dance practice videos.

Justin Bieber and Ed Sheeran now hold the records for second and third-highest views, with over 26 billion views each.

Currently, BTS’s most viewed videos are their music videos for “**Boy With Luv**,” “**Dynamite**,” and “**DNA**,” which all have over 1.4 billion views.

Headers of the Dataset Total = Total views (in millions) across all official channels Avg = Current daily average of all videos combined 100M = Number of videos with more than 100 million views

Instagram’s most popular post

              As of April 2024, the most popular post on Instagram was Lionel Messi and his teammates after winning the 2022 FIFA World Cup with Argentina, posted by the account @leomessi. Messi's post, which racked up over 61 million likes within a day, knocked off the reigning post, which was 'Photo of an Egg'. Originally posted in January 2021, 'Photo of an Egg' surpassed the world’s most popular Instagram post at that time, which was a photo by Kylie Jenner’s daughter totaling 18 million likes.
              After several cryptic posts published by the account, World Record Egg revealed itself to be a part of a mental health campaign aimed at the pressures of social media use.

              Instagram’s most popular accounts

              As of April 2024, the official Instagram account @instagram had the most followers of any account on the platform, with 672 million followers. Portuguese footballer Cristiano Ronaldo (@cristiano) was the most followed individual with 628 million followers, while Selena Gomez (@selenagomez) was the most followed woman on the platform with 429 million. Additionally, Inter Miami CF striker Lionel Messi (@leomessi) had a total of 502 million. Celebrities such as The Rock, Kylie Jenner, and Ariana Grande all had over 380 million followers each.

              Instagram influencers

              In the United States, the leading content category of Instagram influencers was lifestyle, with 15.25 percent of influencers creating lifestyle content in 2021. Music ranked in second place with 10.96 percent, followed by family with 8.24 percent. Having a large audience can be very lucrative: Instagram influencers in the United States, Canada and the United Kingdom with over 90,000 followers made around 1,221 US dollars per post.

              Instagram around the globe

              Instagram’s worldwide popularity continues to grow, and India is the leading country in terms of number of users, with over 362.9 million users as of January 2024. The United States had 169.65 million Instagram users and Brazil had 134.6 million users. The social media platform was also very popular in Indonesia and Turkey, with 100.9 and 57.1, respectively. As of January 2024, Instagram was the fourth most popular social network in the world, behind Facebook, YouTube and WhatsApp.

As of April 2024, almost 32 percent of global Instagram audiences were aged between 18 and 24 years, and 30.6 percent of users were aged between 25 and 34 years. Overall, 16 percent of users belonged to the 35 to 44 year age group.

              Instagram users

              With roughly one billion monthly active users, Instagram belongs to the most popular social networks worldwide. The social photo sharing app is especially popular in India and in the United States, which have respectively 362.9 million and 169.7 million Instagram users each.

              Instagram features

              One of the most popular features of Instagram is Stories. Users can post photos and videos to their Stories stream and the content is live for others to view for 24 hours before it disappears. In January 2019, the company reported that there were 500 million daily active Instagram Stories users. Instagram Stories directly competes with Snapchat, another photo sharing app that initially became famous due to it’s “vanishing photos” feature.
              As of the second quarter of 2021, Snapchat had 293 million daily active users.

As of February 2025, it was found that around 14.1 percent of TikTok's global audience were women between the ages of 18 and 24 years, while male users of the same age formed approximately 16.6 percent of the platform's audience. The online audience of the popular social video platform was further composed of 14.6 percent of female users aged between 25 and 34 years, and 20.7 percent of male users in the same age group.

A global survey conducted in the third quarter of 2024 found that the main reason for using social media was to keep in touch with friends and family, with over 50.8 percent of social media users saying this was their main reason for using online networks. Overall, 39 percent of social media users said that filling spare time was their main reason for using social media platforms, whilst 34.5 percent of respondents said they used it to read news stories. Less than one in five users were on social platforms for the reason of following celebrities and influencers.

              The most popular social network

              Facebook dominates the social media landscape. The world's most popular social media platform turned 20 in February 2024, and it continues to lead the way in terms of user numbers. As of February 2025, the social network had over three billion global users. YouTube, Instagram, and WhatsApp follow, but none of these well-known brands can surpass Facebook’s audience size.
              Moreover, as of the final quarter of 2023, there were almost four billion Meta product users.

              Ever-evolving social media usage

              The utilization of social media remains largely gratuitous; however, companies have been encouraging users to become paid subscribers to reduce dependence on advertising profits. Meta Verified entices users by offering a blue verification badge and proactive account protection, among other things. X (formerly Twitter), Snapchat, and Reddit also offer users the chance to upgrade their social media accounts for a monthly free.

As of April 2024, Bahrain was the country with the highest Instagram audience reach with 95.6 percent. Kazakhstan also had a high Instagram audience penetration rate, with 90.8 percent of the population using the social network. In the United Arab Emirates, Turkey, and Brunei, the photo-sharing platform was used by more than 85 percent of each country's population.