55 datasets found
  1. Youtube Channel and Influencer Analysis

    • kaggle.com
    zip
    Updated Oct 23, 2022
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    Kadhiravan Jayachandiran (2022). Youtube Channel and Influencer Analysis [Dataset]. https://www.kaggle.com/datasets/kathir1k/youtube-influencers-data/data
    Explore at:
    zip(90986 bytes)Available download formats
    Dataset updated
    Oct 23, 2022
    Authors
    Kadhiravan Jayachandiran
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Area covered
    YouTube
    Description

    The idea is the figure out the success ratio of youtube content creators and answer some of the basic questions like, how videos is takes for a channel to become successful, what language to choose, what type of content works and establish proof of success with Data and help them make a decision.

    Hence the entire team of Business Analyst Interns at KultureHire took the responsibility of collecting and cleaning the data and brought it to an decent shape.

    The dataset has 22 fields/columns and over 900 rows or 900 different videos from various youtube channels to it.

    Preferred file format is Xlsx or CSV.

  2. d

    Social Media Data | 320M+ YouTube Creators User Profile Dataset | 100M+...

    • datarade.ai
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    Webautomation, Social Media Data | 320M+ YouTube Creators User Profile Dataset | 100M+ Influencers | Freshly Web-Scraped | GDPR compliant [Dataset]. https://datarade.ai/data-products/webautomation-youtube-creators-profile-dataset-10m-influen-webautomation
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset authored and provided by
    Webautomation
    Area covered
    Denmark, Saint Kitts and Nevis, Germany, Bolivia (Plurinational State of), Italy, Grenada, Saint Lucia, Turks and Caicos Islands, Spain, Hungary
    Description

    Extensive Creator Coverage: Our dataset includes a diverse range of YouTube content creators, spanning various genres, subscriber counts, and regions. Access information on creators from a wide spectrum of content categories.

    Creator Profiles: Explore detailed creator profiles, including biographies, subscriber counts, video counts, and contact information.

    Customizable Data Delivery: The dataset is available in flexible formats, such as CSV, JSON, or API integration, allowing seamless integration with your existing data infrastructure. Customize the data to meet your specific research and analysis needs.

  3. Top 100 YouTube Channels cleaned dataset

    • kaggle.com
    zip
    Updated Jan 21, 2023
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    punitakumari2022 (2023). Top 100 YouTube Channels cleaned dataset [Dataset]. https://www.kaggle.com/datasets/punitakumari2022/top-100-youtube-channels
    Explore at:
    zip(5037 bytes)Available download formats
    Dataset updated
    Jan 21, 2023
    Authors
    punitakumari2022
    Area covered
    YouTube
    Description

    YouTube is a global online video sharing and social media platform headquartered in San Bruno, California. It was launched on February 14, 2005, by Steve Chen, Chad Hurley, and Jawed Karim. It is owned by Google, and is the second most visited website, after Google Search. YouTube has more than 2.5 billion monthly users who collectively watch more than one billion hours of videos each day.

    File containing two dataset about 100 top YouTube channels in world and India, based upon subscription. Both the dataset contains 6 columns. Column is named as ranking, channel_name, category, subscribers and average view.

    1. T-series channel ranked first in the world and it gained 234 M subscriptions it is music based channel.
    2. Cocomelon - Nursery Rhymes ranked second it is education based channel made for little babies and having 152 M subscriptions.
    3. SET- India entertainment based channel has 150 M subscription. Among top 3 YouTube channels 2 channels are Indians channels. In all 100 YouTube channel 36% Entertainment channel 35% Music and only 29% from other category.

    url="https://www.noxinfluencer.com/youtube-channel-rank/top-100-all-all-youtuber-sorted-by-subs-weekly"

  4. b

    YouTube Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Sep 12, 2024
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    Bright Data (2024). YouTube Datasets [Dataset]. https://brightdata.com/products/datasets/youtube
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Sep 12, 2024
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide, YouTube
    Description

    Use our YouTube profiles dataset to extract both business and non-business information from public channels and filter by channel name, views, creation date, or subscribers. Datapoints include URL, handle, banner image, profile image, name, subscribers, description, video count, create date, views, details, and more. You may purchase the entire dataset or a customized subset, depending on your needs. Popular use cases for this dataset include sentiment analysis, brand monitoring, influencer marketing, and more.

  5. Social Media Engagement Dataset

    • kaggle.com
    zip
    Updated Jan 30, 2026
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    Aviral Trivedi (2026). Social Media Engagement Dataset [Dataset]. https://www.kaggle.com/datasets/aviral342/social-media-engagement-dataset
    Explore at:
    zip(188589 bytes)Available download formats
    Dataset updated
    Jan 30, 2026
    Authors
    Aviral Trivedi
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    📱 About Dataset Overview This Social Media Engagement Dataset contains comprehensive engagement metrics from 5,000 social media posts across six major platforms: Instagram, Twitter, Facebook, LinkedIn, TikTok, and YouTube. The dataset spans over 2 years (2024-2025) and provides valuable insights into content performance, audience engagement patterns, and influencer analytics.

    Dataset Contents The dataset includes 20 detailed features covering various aspects of social media engagement:

    Post Information Post_ID: Unique identifier for each post Timestamp: Date and time when the post was published Platform: Social media platform (Instagram, Twitter, Facebook, LinkedIn, TikTok, YouTube) Content_Type: Type of content (Photo, Video, Reel, Tweet, Story, etc.) Category: Content category (Technology, Fashion, Food, Travel, Fitness, Education, Entertainment, Business, Lifestyle, Gaming, Health, Sports) Engagement Metrics Likes: Number of likes/reactions received Comments: Number of comments on the post Shares: Number of shares/retweets/reposts Views: Total number of views Saves: Number of bookmarks/saves Engagement_Rate: Calculated engagement rate percentage Account Information Follower_Count: Number of followers of the account Influencer_Tier: Classification (Nano, Micro, Mid-tier, Macro) Is_Verified: Whether the account is verified (True/False) Content Characteristics Hashtag_Count: Number of hashtags used Content_Length: Length in characters (text) or seconds (video) Sentiment: Sentiment analysis (Positive, Neutral, Negative) Has_Media: Whether post contains media (True/False) Temporal Features Hour_of_Day: Hour when the post was published (0-23) Day_of_Week: Day of the week (Monday-Sunday) Use Cases This dataset is perfect for:

    📊 Predictive Analytics: Build ML models to predict engagement rates 📈 Data Visualization: Create insightful dashboards and charts 🤖 Machine Learning: Classification, regression, and clustering tasks ⏰ Time Series Analysis: Analyze posting patterns and optimal timing 🎯 Content Strategy: Optimize content strategy based on data insights 🔍 Sentiment Analysis: Study correlation between sentiment and engagement 📱 Platform Comparison: Compare performance across different platforms 💼 Influencer Marketing: Analyze influencer tier performance Technical Details Format: CSV Size: ~651 KB Rows: 5,000 Columns: 20 Time Period: January 2024 - December 2025 Missing Values: None Potential Research Questions What time of day generates the most engagement? Which platform has the highest engagement rates? How does content type affect performance? Does verified status impact engagement? What's the optimal hashtag count? How does sentiment correlate with engagement? Notes Engagement metrics are platform-realistic and proportional All data is synthetically generated for educational and research purposes Suitable for beginners and advanced data scientists

  6. Top 200 Youtubers Data (cleaned)

    • kaggle.com
    zip
    Updated Jul 8, 2022
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    Syed Jafer (2022). Top 200 Youtubers Data (cleaned) [Dataset]. https://www.kaggle.com/datasets/syedjaferk/top-200-youtubers-cleaned/code
    Explore at:
    zip(54970 bytes)Available download formats
    Dataset updated
    Jul 8, 2022
    Authors
    Syed Jafer
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    YouTube is an American online video sharing and social media platform headquartered in San Bruno, California. It was launched on February 14, 2005, by Steve Chen, Chad Hurley, and Jawed Karim. It is owned by Google, and is the second most visited website, after Google Search. YouTube has more than 2.5 billion monthly users who collectively watch more than one billion hours of videos each day. As of May 2019, videos were being uploaded at a rate of more than 500 hours of content per minute.

    Youtube is very much used to influence, educate, free university (for me also) people (the users followers) in a particular way for a specific issue - which can impact the order in some ways.

  7. b

    Data from: YouTube Videos Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Dec 20, 2024
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    Bright Data (2024). YouTube Videos Datasets [Dataset]. https://brightdata.com/products/datasets/youtube/videos
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Dec 20, 2024
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide, YouTube
    Description

    Use our YouTube Videos dataset to extract detailed information from public videos and filter by video title, views, upload date, or likes. Data points include video URL, title, description, thumbnail, upload date, view count, like count, comment count, tags, and more. You can purchase the entire dataset or a customized subset, tailored to your needs. Popular use cases for this dataset include trend analysis, content performance tracking, brand monitoring, and influencer campaign optimization.

  8. Top 1000 Youtubers (Cleaned) World

    • kaggle.com
    zip
    Updated Jul 12, 2022
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    Syed Jafer (2022). Top 1000 Youtubers (Cleaned) World [Dataset]. https://www.kaggle.com/datasets/syedjaferk/top-1000-youtubers-cleaned
    Explore at:
    zip(49964 bytes)Available download formats
    Dataset updated
    Jul 12, 2022
    Authors
    Syed Jafer
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    World
    Description

    YouTube is an American online video sharing and social media platform headquartered in San Bruno, California. It was launched on February 14, 2005, by Steve Chen, Chad Hurley, and Jawed Karim. It is owned by Google, and is the second most visited website, after Google Search. YouTube has more than 2.5 billion monthly users who collectively watch more than one billion hours of videos each day. As of May 2019, videos were being uploaded at a rate of more than 500 hours of content per minute.

    In October 2006, 18 months after posting its first video and 10 months after its official launch, YouTube was bought by Google for $1.65 billion. Google's ownership of YouTube expanded the site's business model, expanding from generating revenue from advertisements alone, to offering paid content such as movies and exclusive content produced by YouTube. It also offers YouTube Premium, a paid subscription option for watching content without ads. YouTube and approved creators participate in Google's AdSense program, which seeks to generate more revenue for both parties. YouTube reported revenue of $19.8 billion in 2020. In 2021, YouTube's annual advertising revenue increased to $28.8 billion.

    This dataset consists details on top 1000 influencers all over the world.

  9. 🚀 Viral Social Media Trends & Engagement Analysis

    • kaggle.com
    zip
    Updated May 23, 2025
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    Atharva Soundankar (2025). 🚀 Viral Social Media Trends & Engagement Analysis [Dataset]. https://www.kaggle.com/datasets/atharvasoundankar/viral-social-media-trends-and-engagement-analysis
    Explore at:
    zip(230834 bytes)Available download formats
    Dataset updated
    May 23, 2025
    Authors
    Atharva Soundankar
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset captures the pulse of viral social media trends across TikTok, Instagram, Twitter, and YouTube. It provides insights into the most popular hashtags, content types, and user engagement levels, offering a comprehensive view of how trends unfold across platforms. With regional data and influencer-driven content, this dataset is perfect for:

    • Trend analysis 🔍
    • Sentiment modeling 💭
    • Understanding influencer marketing 📈

    Dive in to explore what makes content go viral, the behaviors that drive engagement, and how trends evolve on a global scale! 🌍

  10. YouTube & Video Data for Indonesia

    • kaggle.com
    zip
    Updated Apr 13, 2026
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    Techsalerator (2026). YouTube & Video Data for Indonesia [Dataset]. https://www.kaggle.com/datasets/techsalerator/youtube-and-video-data-for-indonesia
    Explore at:
    zip(694652 bytes)Available download formats
    Dataset updated
    Apr 13, 2026
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    YouTube
    Description

    Techsalerator’s YouTube & Video Data for Indonesia

    Techsalerator’s YouTube & Video Data for Indonesia aggregates comprehensive insights from video platforms to provide a detailed view of the country’s digital video ecosystem. This dataset captures video metadata, creator activity, audience engagement, and content performance signals across Indonesia, helping organizations analyze content trends, viewer behavior, and digital media consumption patterns.

    This dataset is designed to support media platforms, advertisers, researchers, NGOs, and policy analysts seeking insights into video engagement, creator growth, and content distribution across Indonesia.

    For access to the full dataset, contact us at info@techsalerator.com or visit Techsalerator Contact Us.

    Top 5 Key Data Fields

    1. Video Metadata (Title, Category, Language, Upload Date)
      Identifies core attributes of videos including topic, format, and publication timing.

    2. Channel & Creator Information
      Captures data on content creators, subscriber counts, upload frequency, and channel growth.

    3. Engagement Metrics (Views, Likes, Comments, Shares)
      Measures audience interaction and content performance across videos.

    4. Audience Demographics & Geography
      Provides insights into viewer location, age distribution, and engagement behavior.

    5. Watch Time & Retention Metrics
      Tracks average viewing duration, retention rates, and drop-off points.

    Top 5 YouTube & Video Market Trends in Indonesia

    1. One of the World’s Largest Mobile Video Audiences
      Indonesia has massive mobile-first video consumption driven by affordable smartphones and data access.

    2. High Demand for Bahasa Indonesia and Regional Language Content
      Content in Bahasa Indonesia dominates, alongside Javanese and other local languages.

    3. Rapid Growth of Creator Economy and Influencer Culture
      Indonesian creators are among the most active in Southeast Asia.

    4. Strong Engagement with Entertainment, Music, and Lifestyle Content
      Music, comedy, vlogs, and entertainment content perform exceptionally well.

    5. Heavy Reliance on Social Media for Video Discovery
      Platforms like YouTube, TikTok, Instagram, and WhatsApp drive content distribution.

    Top 5 Applications of YouTube & Video Data in Indonesia

    1. Digital Advertising & Audience Targeting
      Enables large-scale, language-based, and behavior-based targeting.

    2. Influencer Marketing & Brand Campaigns
      Supports discovery of high-performing creators across diverse niches.

    3. Media & Entertainment Industry Insights
      Helps broadcasters, studios, and OTT platforms understand demand patterns.

    4. Consumer Behavior & Cultural Research
      Provides insights into regional content preferences and digital habits.

    5. Education, Government & Public Awareness Campaigns
      Supports large-scale video-based communication initiatives across sectors.

    Accessing Techsalerator’s YouTube & Video Data

    To obtain Techsalerator’s YouTube & Video Data for Indonesia, contact us at info@techsalerator.com with your specific data requirements. Custom datasets, historical records, and real-time analytics are available, with delivery within 24 hours and flexible access agreements upon request.

    Included Data Fields

    • Video Title & Description
    • Channel Name & ID
    • Upload Date & Time
    • Video Category & Tags
    • View Count
    • Like, Comment, and Share Counts
    • Subscriber Count
    • Watch Time Metrics
    • Audience Demographics
    • Geographic View Distribution
    • Engagement Rate
    • Content Language
    • Timestamp of Data Capture

    Contact Information

    For actionable insights into video performance, audience behavior, and digital media trends in Indonesia, Techsalerator’s YouTube & Video Data empowers advertisers, researchers, media companies, NGOs, and policymakers with reliable, structured, and scalable intelligence.

    📩 Email: info@techsalerator.com

  11. m

    Consumer Responses to Virtual Influencers: YouTube Comment Dataset

    • data.mendeley.com
    Updated Sep 11, 2026
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    Gulnara Karimova (2026). Consumer Responses to Virtual Influencers: YouTube Comment Dataset [Dataset]. http://doi.org/10.17632/8yvjm8x787.1
    Explore at:
    Dataset updated
    Sep 11, 2026
    Authors
    Gulnara Karimova
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    YouTube
    Description

    This dataset accompanies the study “Ontological Forensics of Virtual Influencers.” The primary corpus contains 1,300 naturally occurring YouTube comments collected from five videos discussing or featuring virtual influencers. The comments were combined into a single corpus and used for computer-assisted inductive qualitative analysis examining how consumers categorise and investigate synthetic social actors. A cleaned subset of 1,210 comments was used for exploratory non-negative matrix factorisation (NMF) after excluding creator comments and comments containing fewer than three words. Targeted lexical and pattern-based searches supported the identification of comments for qualitative examination and iterative codebook development. The resulting analysis examines ontological categorisation, ontological ambiguity, ontological incongruity and ontological forensics, including component, production, interaction and agency forensics. A supplementary dataset of 139 comments collected from videos on Lil Miquela’s official YouTube channel was used to broaden the examination of ontological language and category synthesis.

  12. h

    corp_advertisement_dataset

    • huggingface.co
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    Hector Rodriguez, corp_advertisement_dataset [Dataset]. https://huggingface.co/datasets/HectorRguez/corp_advertisement_dataset
    Explore at:
    Authors
    Hector Rodriguez
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Corporation Advertisement Dataset

    This dataset contains information about well-known companies that are commonly featured as sponsors on YouTube and other digital platforms. The data focuses on brands frequently seen in influencer marketing and online advertising campaigns.

      Dataset Structure
    

    The dataset includes the following fields for each company:

    Name: Company/brand name Category: Business sector (VPN/Privacy, Tech/Electronics, Education, Shopping/E-commerce… See the full description on the dataset page: https://huggingface.co/datasets/HectorRguez/corp_advertisement_dataset.

  13. YouTube Channel Dataset

    • kaggle.com
    zip
    Updated May 28, 2026
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    Webautomation-io (2026). YouTube Channel Dataset [Dataset]. https://www.kaggle.com/datasets/webautomationio/youtube-channel-dataset-30m-profiles/data
    Explore at:
    zip(6673178 bytes)Available download formats
    Dataset updated
    May 28, 2026
    Authors
    Webautomation-io
    Area covered
    YouTube
    Description

    About This Dataset

    This is a sample from WebAutomation's full YouTube Channel Dataset — one of the most comprehensive publicly-available datasets of YouTube creator profiles, covering 100 million+ channels globally.

    The sample contains approximately 30,000 rows drawn from the full dataset, representing a diverse cross-section of channel sizes, geographies, and content categories.

    What's Included

    Each row represents a single YouTube channel with the following fields:

    • channel_id— YouTube's unique identifier for the channel

    • channel_name — Display name of the channel

    • channel_url — Direct link to the channel

    • subscriber_count — Total subscribers at time of scrape

    • total_views — Cumulative views across all videos

    • video_count — Number of uploaded videos

    • country — Country associated with the channel

    • category / topic — Primary content category

    • description — Channel description (truncated)

    • custom_url — Vanity/custom URL if set

    • channel_created_date — Date the channel was created

    • scrape_date — Date this data was collected

    • language — Channel language

    • contact_email — Public email from channel page (where available)

    Data Collection

    Data is collected from YouTube's public pages (logged-out) using WebAutomation's proprietary scraping infrastructure. No private API access or authentication is used. All data is publicly accessible on YouTube.

    Scrape date of this sample: 28/5/2026

    Use Cases

    • Influencer discovery and segmentation

    • Creator economy research and analysis

    • ML model training (recommendation systems, audience classification)

    • Market sizing and competitive benchmarking

    • Academic research on platform dynamics

    Full Dataset

    This is a sample only. The full dataset contains 100M+ YouTube channel profiles and is updated regularly.

    👉 Get the full dataset: WebAutomation YouTube Profiles Dataset

    For custom slices, API access, or enterprise licensing, contact: victor@webautomation.io

    About WebAutomation

    WebAutomation.io is a web data and scraping company specialising in large-scale public datasets. We supply data to influencer platforms, market research firms, and enterprise data teams worldwide.

  14. YouTube & Video Data for Colombia

    • kaggle.com
    zip
    Updated Apr 13, 2026
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    Techsalerator (2026). YouTube & Video Data for Colombia [Dataset]. https://www.kaggle.com/techsalerator/youtube-and-video-data-for-colombia
    Explore at:
    zip(694652 bytes)Available download formats
    Dataset updated
    Apr 13, 2026
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Colombia, YouTube
    Description

    Techsalerator’s YouTube & Video Data for Colombia

    Techsalerator’s YouTube & Video Data for Colombia aggregates comprehensive insights from video platforms to provide a detailed view of the country’s digital video ecosystem. This dataset captures video metadata, creator activity, audience engagement, and content performance signals across Colombia, helping organizations analyze content trends, viewer behavior, and digital media consumption patterns.

    This dataset is designed to support media platforms, advertisers, researchers, NGOs, and policy analysts seeking insights into video engagement, creator growth, and content distribution across Colombia.

    For access to the full dataset, contact us at info@techsalerator.com or visit Techsalerator Contact Us.

    Top 5 Key Data Fields

    1. Video Metadata (Title, Category, Language, Upload Date)
      Identifies core attributes of videos including topic, format, and publication timing.

    2. Channel & Creator Information
      Captures data on content creators, subscriber counts, upload frequency, and channel growth.

    3. Engagement Metrics (Views, Likes, Comments, Shares)
      Measures audience interaction and content performance across videos.

    4. Audience Demographics & Geography
      Provides insights into viewer location, age distribution, and engagement behavior.

    5. Watch Time & Retention Metrics
      Tracks average viewing duration, retention rates, and drop-off points.

    Top 5 YouTube & Video Market Trends in Colombia

    1. Strong Spanish-Language Content Consumption
      Spanish dominates across entertainment, education, and news categories.

    2. High Engagement with Music, Entertainment, and Influencer Content
      Music videos, vlogs, and influencer-driven content generate strong viewership.

    3. Rapid Growth of the Creator Economy
      Colombian creators and influencers are increasingly shaping digital culture and brand engagement.

    4. Increasing Demand for Educational and Tutorial Content
      Learning-based content, online courses, and how-to videos are gaining popularity.

    5. Mobile-First and Social Media Integrated Viewing
      Most users consume video content via smartphones with strong cross-platform sharing.

    Top 5 Applications of YouTube & Video Data in Colombia

    1. Digital Advertising & Audience Targeting
      Enables advertisers to optimize campaigns based on audience demographics and engagement.

    2. Influencer Marketing & Creator Partnerships
      Supports brands in identifying high-performing creators and partnerships.

    3. Media & Entertainment Industry Insights
      Helps production companies understand content demand and viewer preferences.

    4. Social Research & Cultural Trend Analysis
      Provides insights into public sentiment, digital behavior, and content trends.

    5. Education & Public Awareness Campaigns
      Supports institutions and NGOs in delivering effective video-based communication.

    Accessing Techsalerator’s YouTube & Video Data

    To obtain Techsalerator’s YouTube & Video Data for Colombia, contact us at info@techsalerator.com with your specific data requirements. Custom datasets, historical records, and real-time analytics are available, with delivery within 24 hours and flexible access agreements upon request.

    Included Data Fields

    • Video Title & Description
    • Channel Name & ID
    • Upload Date & Time
    • Video Category & Tags
    • View Count
    • Like, Comment, and Share Counts
    • Subscriber Count
    • Watch Time Metrics
    • Audience Demographics
    • Geographic View Distribution
    • Engagement Rate
    • Content Language
    • Timestamp of Data Capture

    Contact Information

    For actionable insights into video performance, audience behavior, and digital media trends in Colombia, Techsalerator’s YouTube & Video Data empowers advertisers, researchers, media companies, NGOs, and policymakers with reliable, structured, and scalable intelligence.

    📩 Email: info@techsalerator.com

  15. YouTube & Video Data for Kazakhstan

    • kaggle.com
    zip
    Updated Apr 14, 2026
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    Techsalerator (2026). YouTube & Video Data for Kazakhstan [Dataset]. https://www.kaggle.com/datasets/techsalerator/youtube-and-video-data-for-kazakhstan/code
    Explore at:
    zip(2063641322 bytes)Available download formats
    Dataset updated
    Apr 14, 2026
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    YouTube
    Description

    Techsalerator’s YouTube & Video Data for Kazakhstan

    Techsalerator’s YouTube & Video Data for Kazakhstan aggregates comprehensive insights from video platforms to provide a detailed view of the country’s digital video ecosystem. This dataset captures video metadata, creator activity, audience engagement, and content performance signals across Kazakhstan, helping organizations analyze content trends, viewer behavior, and digital media consumption patterns.

    This dataset is designed to support media platforms, advertisers, researchers, NGOs, and policy analysts seeking insights into video engagement, creator growth, and content distribution across Kazakhstan.

    For access to the full dataset, contact us at info@techsalerator.com or visit Techsalerator Contact Us.

    Top 5 Key Data Fields

    1. Video Metadata (Title, Category, Language, Upload Date)
      Identifies core attributes of videos including topic, format, and publication timing.

    2. Channel & Creator Information
      Captures data on content creators, subscriber counts, upload frequency, and channel growth.

    3. Engagement Metrics (Views, Likes, Comments, Shares)
      Measures audience interaction and content performance across videos.

    4. Audience Demographics & Geography
      Provides insights into viewer location, age distribution, and engagement behavior.

    5. Watch Time & Retention Metrics
      Tracks average viewing duration, retention rates, and drop-off points.

    Top 5 YouTube & Video Market Trends in Kazakhstan

    1. Rapid Growth in Digital Video Consumption
      Increasing internet penetration and smartphone usage are driving strong growth in online video viewing.

    2. Bilingual Content Demand (Kazakh and Russian)
      Content in both Kazakh and Russian languages performs strongly across platforms.

    3. High Engagement with Entertainment, Music, and Vlogs
      Music videos, lifestyle vlogs, and entertainment content attract large audiences.

    4. Influence of Regional CIS and Global Content
      Content from Russia and global creators significantly shapes local viewing preferences.

    5. Expanding Creator Economy and Influencer Market
      Local creators are gaining traction and collaborating with brands.

    Top 5 Applications of YouTube & Video Data in Kazakhstan

    1. Digital Advertising & Audience Targeting
      Enables segmentation across language, region, and engagement behavior.

    2. Influencer Marketing & Brand Partnerships
      Supports identification of rising local creators and influencers.

    3. Media & Entertainment Industry Insights
      Helps producers understand audience demand and content trends.

    4. Consumer Behavior & Market Research
      Provides insights into digital consumption habits and preferences.

    5. Education & Public Awareness Campaigns
      Supports outreach initiatives through video-based communication.

    Accessing Techsalerator’s YouTube & Video Data

    To obtain Techsalerator’s YouTube & Video Data for Kazakhstan, contact us at info@techsalerator.com with your specific data requirements. Custom datasets, historical records, and real-time analytics are available, with delivery within 24 hours and flexible access agreements upon request.

    Included Data Fields

    • Video Title & Description
    • Channel Name & ID
    • Upload Date & Time
    • Video Category & Tags
    • View Count
    • Like, Comment, and Share Counts
    • Subscriber Count
    • Watch Time Metrics
    • Audience Demographics
    • Geographic View Distribution
    • Engagement Rate
    • Content Language
    • Timestamp of Data Capture

    Contact Information

    For actionable insights into video performance, audience behavior, and digital media trends in Kazakhstan, Techsalerator’s YouTube & Video Data empowers advertisers, researchers, media companies, NGOs, and policymakers with reliable, structured, and scalable intelligence.

    📩 Email: info@techsalerator.com

  16. YouTube & Video Data for Japan

    • kaggle.com
    zip
    Updated Apr 13, 2026
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    Techsalerator (2026). YouTube & Video Data for Japan [Dataset]. https://www.kaggle.com/datasets/techsalerator/youtube-and-video-data-for-japan
    Explore at:
    zip(694652 bytes)Available download formats
    Dataset updated
    Apr 13, 2026
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Japan, YouTube
    Description

    Techsalerator’s YouTube & Video Data for Japan

    Techsalerator’s YouTube & Video Data for Japan aggregates comprehensive insights from video platforms to provide a detailed view of the country’s digital video ecosystem. This dataset captures video metadata, creator activity, audience engagement, and content performance signals across Japan, helping organizations analyze content trends, viewer behavior, and digital media consumption patterns.

    This dataset is designed to support media platforms, advertisers, researchers, NGOs, and policy analysts seeking insights into video engagement, creator growth, and content distribution across Japan.

    For access to the full dataset, contact us at info@techsalerator.com or visit Techsalerator Contact Us.

    Top 5 Key Data Fields

    1. Video Metadata (Title, Category, Language, Upload Date)
      Identifies core attributes of videos including topic, format, and publication timing.

    2. Channel & Creator Information
      Captures data on content creators, subscriber counts, upload frequency, and channel growth.

    3. Engagement Metrics (Views, Likes, Comments, Shares)
      Measures audience interaction and content performance across videos.

    4. Audience Demographics & Geography
      Provides insights into viewer location, age distribution, and engagement behavior.

    5. Watch Time & Retention Metrics
      Tracks average viewing duration, retention rates, and drop-off points.

    Top 5 YouTube & Video Market Trends in Japan

    1. Highly Mature and Competitive Video Market
      Japan has a well-developed digital ecosystem with high YouTube penetration and strong competition among creators.

    2. Strong Preference for Japanese-Language Content
      Japanese-language content dominates across entertainment, education, and lifestyle categories.

    3. High Engagement with Anime, Gaming, and Music Content
      Anime-related content, gaming streams, and J-pop videos generate significant engagement.

    4. Advanced Creator Economy and Brand Collaborations
      Influencer marketing and creator partnerships are highly developed and widely adopted.

    5. Multi-Platform and Multi-Device Viewing Behavior
      Users consume video across smartphones, desktops, and connected TVs, often across multiple platforms.

    Top 5 Applications of YouTube & Video Data in Japan

    1. Digital Advertising & Audience Targeting
      Enables highly precise targeting based on interests, behavior, and demographics.

    2. Influencer Marketing & Brand Strategy
      Supports partnerships with top Japanese creators and influencers.

    3. Media & Entertainment Industry Insights
      Helps studios and publishers track trends in anime, gaming, and entertainment.

    4. Consumer Behavior & Market Research
      Provides insights into evolving digital habits and cultural preferences.

    5. Technology, Education & Public Communication Campaigns
      Supports innovation-driven outreach across sectors including education and government.

    Accessing Techsalerator’s YouTube & Video Data

    To obtain Techsalerator’s YouTube & Video Data for Japan, contact us at info@techsalerator.com with your specific data requirements. Custom datasets, historical records, and real-time analytics are available, with delivery within 24 hours and flexible access agreements upon request.

    Included Data Fields

    • Video Title & Description
    • Channel Name & ID
    • Upload Date & Time
    • Video Category & Tags
    • View Count
    • Like, Comment, and Share Counts
    • Subscriber Count
    • Watch Time Metrics
    • Audience Demographics
    • Geographic View Distribution
    • Engagement Rate
    • Content Language
    • Timestamp of Data Capture

    Contact Information

    For actionable insights into video performance, audience behavior, and digital media trends in Japan, Techsalerator’s YouTube & Video Data empowers advertisers, researchers, media companies, NGOs, and policymakers with reliable, structured, and scalable intelligence.

    📩 Email: info@techsalerator.com

  17. YouTube & Video Data for Brazil

    • kaggle.com
    zip
    Updated Apr 11, 2026
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    Techsalerator (2026). YouTube & Video Data for Brazil [Dataset]. https://www.kaggle.com/techsalerator/youtube-and-video-data-for-brazil
    Explore at:
    zip(694652 bytes)Available download formats
    Dataset updated
    Apr 11, 2026
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    YouTube
    Description

    Techsalerator’s YouTube & Video Data for Brazil

    Techsalerator’s YouTube & Video Data for Brazil aggregates comprehensive insights from video platforms to provide a detailed view of the country’s digital video ecosystem. This dataset captures video metadata, creator activity, audience engagement, and content performance signals across Brazil, helping organizations analyze content trends, viewer behavior, and digital media consumption patterns.

    This dataset is designed to support media platforms, advertisers, researchers, NGOs, and policy analysts seeking insights into video engagement, creator growth, and content distribution across Brazil.

    For access to the full dataset, contact us at info@techsalerator.com or visit Techsalerator Contact Us.

    Top 5 Key Data Fields

    1. Video Metadata (Title, Category, Language, Upload Date)
      Identifies core attributes of videos including topic, format, and publication timing.

    2. Channel & Creator Information
      Captures data on content creators, subscriber counts, upload frequency, and channel growth.

    3. Engagement Metrics (Views, Likes, Comments, Shares)
      Measures audience interaction and content performance across videos.

    4. Audience Demographics & Geography
      Provides insights into viewer location, age distribution, and engagement behavior.

    5. Watch Time & Retention Metrics
      Tracks average viewing duration, retention rates, and drop-off points.

    Top 5 YouTube & Video Market Trends in Brazil

    1. Massive Mobile-First Video Consumption
      Brazil is one of the world’s largest mobile video markets, with high daily watch times.

    2. Strong Demand for Portuguese-Language Content
      Brazilian Portuguese dominates across entertainment, education, and news categories.

    3. High Engagement with Music, Entertainment, and Influencer Content
      Music videos, comedy, and creator-led content drive dominant engagement.

    4. Rapid Growth of the Creator Economy
      Independent YouTubers and influencers play a major role in shaping digital culture and advertising.

    5. Significant Use of Video for Education and Social Awareness
      Educational content, tutorials, and civic awareness videos have strong reach and engagement.

    Top 5 Applications of YouTube & Video Data in Brazil

    1. Digital Advertising & Audience Targeting
      Enables advertisers to reach highly segmented audiences across regions and interests.

    2. Creator Economy & Influencer Marketing Strategy
      Supports brands and agencies in identifying high-impact creators and campaigns.

    3. Media & Entertainment Industry Insights
      Helps production companies and broadcasters track audience preferences and trends.

    4. Social Research & Cultural Analysis
      Provides insights into public sentiment, behavior, and digital culture.

    5. Education & Public Awareness Campaigns
      Supports institutions and NGOs in delivering effective video-based outreach.

    Accessing Techsalerator’s YouTube & Video Data

    To obtain Techsalerator’s YouTube & Video Data for Brazil, contact info@techsalerator.com with your specific data requirements. Custom datasets, historical records, and real-time analytics are available, with delivery within 24 hours and flexible access agreements upon request.

    Included Data Fields

    • Video Title & Description
    • Channel Name & ID
    • Upload Date & Time
    • Video Category & Tags
    • View Count
    • Like, Comment, and Share Counts
    • Subscriber Count
    • Watch Time Metrics
    • Audience Demographics
    • Geographic View Distribution
    • Engagement Rate
    • Content Language
    • Timestamp of Data Capture

    Contact Information

    For actionable insights into video performance, audience behavior, and digital media trends in Brazil, Techsalerator’s YouTube & Video Data empowers advertisers, researchers, media companies, NGOs, and policymakers with reliable, structured, and scalable intelligence.

    📩 Email: info@techsalerator.com

  18. YouTube & Video Data for Spain

    • kaggle.com
    zip
    Updated Apr 17, 2026
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    Techsalerator (2026). YouTube & Video Data for Spain [Dataset]. https://www.kaggle.com/datasets/techsalerator/youtube-and-video-data-for-spain
    Explore at:
    zip(281883961 bytes)Available download formats
    Dataset updated
    Apr 17, 2026
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Spain, YouTube
    Description

    Techsalerator’s YouTube & Video Data for Spain

    Techsalerator’s YouTube & Video Data for Spain aggregates comprehensive insights from video platforms to provide a detailed view of the country’s digital video ecosystem. This dataset captures video metadata, creator activity, audience engagement, and content performance signals across Spain, helping organizations analyze content trends, viewer behavior, and digital media consumption patterns.

    This dataset is designed to support media platforms, advertisers, researchers, NGOs, and policy analysts seeking insights into video engagement, creator growth, and content distribution across Spain.

    For access to the full dataset, contact us at info@techsalerator.com or visit Techsalerator Contact Us.

    Top 5 Key Data Fields

    1. Video Metadata (Title, Category, Language, Upload Date)
      Identifies core attributes of videos including topic, format, and publication timing.

    2. Channel & Creator Information
      Captures data on content creators, subscriber counts, upload frequency, and channel growth.

    3. Engagement Metrics (Views, Likes, Comments, Shares)
      Measures audience interaction and content performance across videos.

    4. Audience Demographics & Geography
      Provides insights into viewer location, age distribution, and engagement behavior.

    5. Watch Time & Retention Metrics
      Tracks average viewing duration, retention rates, and drop-off points.

    Top 5 YouTube & Video Market Trends in Spain

    1. Highly Mature Digital Video Market with Strong Broadband Penetration
      Spain has widespread internet access and strong daily video consumption habits.

    2. Spanish-Language Content Dominance with Strong Latin Influence
      Content is heavily driven by Spanish creators with strong connections to Latin America.

    3. High Engagement with Entertainment, Football, Music, and Lifestyle Content
      Sports (especially football), music, and entertainment dominate viewing behavior.

    4. Strong Influencer and Creator Economy Across Platforms
      Spanish creators have significant reach domestically and across Spanish-speaking markets.

    5. Cross-Platform Consumption Across YouTube, TikTok, and Streaming Services
      Users actively consume video across multiple digital platforms.

    Top 5 Applications of YouTube & Video Data in Spain

    1. Digital Advertising & Audience Targeting
      Enables precise targeting across a large Spanish-speaking audience.

    2. Sports & Entertainment Marketing
      Supports campaigns around football, music, and media industries.

    3. Influencer Marketing & Brand Partnerships
      Helps identify top-performing creators in Spain and Latin markets.

    4. Media Strategy & Content Development
      Supports optimization of digital content strategies for broadcasters and publishers.

    5. Consumer Behavior & Cultural Trend Analysis
      Provides insights into evolving digital media consumption in Southern Europe.

    Accessing Techsalerator’s YouTube & Video Data

    To obtain Techsalerator’s YouTube & Video Data for Spain, contact us at info@techsalerator.com with your specific data requirements. Custom datasets, historical records, and real-time analytics are available, with delivery within 24 hours and flexible access agreements upon request.

    Included Data Fields

    • Video Title & Description
    • Channel Name & ID
    • Upload Date & Time
    • Video Category & Tags
    • View Count
    • Like, Comment, and Share Counts
    • Subscriber Count
    • Watch Time Metrics
    • Audience Demographics
    • Geographic View Distribution
    • Engagement Rate
    • Content Language
    • Timestamp of Data Capture

    Contact Information

    For actionable insights into video performance, audience behavior, and digital media trends in Spain, Techsalerator’s YouTube & Video Data empowers advertisers, researchers, media companies, NGOs, and policymakers with reliable, structured, and scalable intelligence.

    📩 Email: info@techsalerator.com

  19. Irfan Malik YouTube Channel Data

    • kaggle.com
    zip
    Updated Nov 3, 2024
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    Imran Mansha (2024). Irfan Malik YouTube Channel Data [Dataset]. https://www.kaggle.com/datasets/imranmansha/irfan-malik-youtube-channel-data-2024
    Explore at:
    zip(40435 bytes)Available download formats
    Dataset updated
    Nov 3, 2024
    Authors
    Imran Mansha
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset provides comprehensive analytics on Irfan Malik's YouTube channel for 2024, capturing video metrics such as views, likes, comments, and engagement rates. Irfan Malik is known for his engaging travel and lifestyle content, sharing experiences and stories from Pakistan and beyond. This dataset is ideal for analyzing trends in travel content, social media engagement, and audience preferences. It is suitable for projects in data science, social analytics, and trend analysis, offering insights into the impact and reach of a prominent YouTube influencer.

  20. YouTube & Video Data for France

    • kaggle.com
    zip
    Updated Apr 13, 2026
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    Techsalerator (2026). YouTube & Video Data for France [Dataset]. https://www.kaggle.com/techsalerator/youtube-and-video-data-for-france
    Explore at:
    zip(694652 bytes)Available download formats
    Dataset updated
    Apr 13, 2026
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    YouTube
    Description

    Techsalerator’s YouTube & Video Data for France

    Techsalerator’s YouTube & Video Data for France aggregates comprehensive insights from video platforms to provide a detailed view of the country’s digital video ecosystem. This dataset captures video metadata, creator activity, audience engagement, and content performance signals across France, helping organizations analyze content trends, viewer behavior, and digital media consumption patterns.

    This dataset is designed to support media platforms, advertisers, researchers, NGOs, and policy analysts seeking insights into video engagement, creator growth, and content distribution across France.

    For access to the full dataset, contact us at info@techsalerator.com or visit Techsalerator Contact Us.

    Top 5 Key Data Fields

    1. Video Metadata (Title, Category, Language, Upload Date)
      Identifies core attributes of videos including topic, format, and publication timing.

    2. Channel & Creator Information
      Captures data on content creators, subscriber counts, upload frequency, and channel growth.

    3. Engagement Metrics (Views, Likes, Comments, Shares)
      Measures audience interaction and content performance across videos.

    4. Audience Demographics & Geography
      Provides insights into viewer location, age distribution, and engagement behavior.

    5. Watch Time & Retention Metrics
      Tracks average viewing duration, retention rates, and drop-off points.

    Top 5 YouTube & Video Market Trends in France

    1. Strong French-Language Content Consumption
      French dominates across entertainment, education, news, and lifestyle content.

    2. High Engagement with Entertainment, Music, and Film Content
      Music videos, cinema-related content, and entertainment channels perform strongly.

    3. Mature and Highly Competitive Creator Economy
      France has a well-developed influencer ecosystem with strong brand partnerships.

    4. Rising Demand for Educational and Documentary Content
      Academic, tutorial, and documentary-style videos are increasingly popular.

    5. Multi-Platform and Mobile-First Viewing Behavior
      Users frequently consume video across YouTube, TikTok, and streaming platforms.

    Top 5 Applications of YouTube & Video Data in France

    1. Digital Advertising & Audience Targeting
      Enables highly segmented campaigns based on language, interests, and behavior.

    2. Influencer Marketing & Brand Strategy
      Supports identification of top-performing creators for collaborations.

    3. Media & Entertainment Industry Insights
      Helps production companies and broadcasters understand audience demand.

    4. Consumer Behavior & Cultural Analysis
      Provides insights into viewing habits, sentiment, and cultural trends.

    5. Education & Institutional Communication
      Supports universities, NGOs, and public institutions in outreach campaigns.

    Accessing Techsalerator’s YouTube & Video Data

    To obtain Techsalerator’s YouTube & Video Data for France, contact us at info@techsalerator.com with your specific data requirements. Custom datasets, historical records, and real-time analytics are available, with delivery within 24 hours and flexible access agreements upon request.

    Included Data Fields

    • Video Title & Description
    • Channel Name & ID
    • Upload Date & Time
    • Video Category & Tags
    • View Count
    • Like, Comment, and Share Counts
    • Subscriber Count
    • Watch Time Metrics
    • Audience Demographics
    • Geographic View Distribution
    • Engagement Rate
    • Content Language
    • Timestamp of Data Capture

    Contact Information

    For actionable insights into video performance, audience behavior, and digital media trends in France, Techsalerator’s YouTube & Video Data empowers advertisers, researchers, media companies, NGOs, and policymakers with reliable, structured, and scalable intelligence.

    📩 Email: info@techsalerator.com

Share
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Email
Click to copy link
Link copied
Close
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Kadhiravan Jayachandiran (2022). Youtube Channel and Influencer Analysis [Dataset]. https://www.kaggle.com/datasets/kathir1k/youtube-influencers-data/data
Organization logo

Youtube Channel and Influencer Analysis

Data points to analyze the success of a Youtube Channel for a content creator

Explore at:
zip(90986 bytes)Available download formats
Dataset updated
Oct 23, 2022
Authors
Kadhiravan Jayachandiran
License

http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

Area covered
YouTube
Description

The idea is the figure out the success ratio of youtube content creators and answer some of the basic questions like, how videos is takes for a channel to become successful, what language to choose, what type of content works and establish proof of success with Data and help them make a decision.

Hence the entire team of Business Analyst Interns at KultureHire took the responsibility of collecting and cleaning the data and brought it to an decent shape.

The dataset has 22 fields/columns and over 900 rows or 900 different videos from various youtube channels to it.

Preferred file format is Xlsx or CSV.

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