Facebook
Twitterhttp://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/
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.
Facebook
TwitterExtensive 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.
Facebook
TwitterYouTube 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.
url="https://www.noxinfluencer.com/youtube-channel-rank/top-100-all-all-youtuber-sorted-by-subs-weekly"
Facebook
Twitterhttps://brightdata.com/licensehttps://brightdata.com/license
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.
Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
📱 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
Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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.
Facebook
Twitterhttps://brightdata.com/licensehttps://brightdata.com/license
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.
Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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:
Dive in to explore what makes content go viral, the behaviors that drive engagement, and how trends evolve on a global scale! 🌍
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
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.
Video Metadata (Title, Category, Language, Upload Date)
Identifies core attributes of videos including topic, format, and publication timing.
Channel & Creator Information
Captures data on content creators, subscriber counts, upload frequency, and channel growth.
Engagement Metrics (Views, Likes, Comments, Shares)
Measures audience interaction and content performance across videos.
Audience Demographics & Geography
Provides insights into viewer location, age distribution, and engagement behavior.
Watch Time & Retention Metrics
Tracks average viewing duration, retention rates, and drop-off points.
One of the World’s Largest Mobile Video Audiences
Indonesia has massive mobile-first video consumption driven by affordable smartphones and data access.
High Demand for Bahasa Indonesia and Regional Language Content
Content in Bahasa Indonesia dominates, alongside Javanese and other local languages.
Rapid Growth of Creator Economy and Influencer Culture
Indonesian creators are among the most active in Southeast Asia.
Strong Engagement with Entertainment, Music, and Lifestyle Content
Music, comedy, vlogs, and entertainment content perform exceptionally well.
Heavy Reliance on Social Media for Video Discovery
Platforms like YouTube, TikTok, Instagram, and WhatsApp drive content distribution.
Digital Advertising & Audience Targeting
Enables large-scale, language-based, and behavior-based targeting.
Influencer Marketing & Brand Campaigns
Supports discovery of high-performing creators across diverse niches.
Media & Entertainment Industry Insights
Helps broadcasters, studios, and OTT platforms understand demand patterns.
Consumer Behavior & Cultural Research
Provides insights into regional content preferences and digital habits.
Education, Government & Public Awareness Campaigns
Supports large-scale video-based communication initiatives across sectors.
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.
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
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
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.
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TwitterAbout 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.
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
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.
Video Metadata (Title, Category, Language, Upload Date)
Identifies core attributes of videos including topic, format, and publication timing.
Channel & Creator Information
Captures data on content creators, subscriber counts, upload frequency, and channel growth.
Engagement Metrics (Views, Likes, Comments, Shares)
Measures audience interaction and content performance across videos.
Audience Demographics & Geography
Provides insights into viewer location, age distribution, and engagement behavior.
Watch Time & Retention Metrics
Tracks average viewing duration, retention rates, and drop-off points.
Strong Spanish-Language Content Consumption
Spanish dominates across entertainment, education, and news categories.
High Engagement with Music, Entertainment, and Influencer Content
Music videos, vlogs, and influencer-driven content generate strong viewership.
Rapid Growth of the Creator Economy
Colombian creators and influencers are increasingly shaping digital culture and brand engagement.
Increasing Demand for Educational and Tutorial Content
Learning-based content, online courses, and how-to videos are gaining popularity.
Mobile-First and Social Media Integrated Viewing
Most users consume video content via smartphones with strong cross-platform sharing.
Digital Advertising & Audience Targeting
Enables advertisers to optimize campaigns based on audience demographics and engagement.
Influencer Marketing & Creator Partnerships
Supports brands in identifying high-performing creators and partnerships.
Media & Entertainment Industry Insights
Helps production companies understand content demand and viewer preferences.
Social Research & Cultural Trend Analysis
Provides insights into public sentiment, digital behavior, and content trends.
Education & Public Awareness Campaigns
Supports institutions and NGOs in delivering effective video-based communication.
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.
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
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
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.
Video Metadata (Title, Category, Language, Upload Date)
Identifies core attributes of videos including topic, format, and publication timing.
Channel & Creator Information
Captures data on content creators, subscriber counts, upload frequency, and channel growth.
Engagement Metrics (Views, Likes, Comments, Shares)
Measures audience interaction and content performance across videos.
Audience Demographics & Geography
Provides insights into viewer location, age distribution, and engagement behavior.
Watch Time & Retention Metrics
Tracks average viewing duration, retention rates, and drop-off points.
Rapid Growth in Digital Video Consumption
Increasing internet penetration and smartphone usage are driving strong growth in online video viewing.
Bilingual Content Demand (Kazakh and Russian)
Content in both Kazakh and Russian languages performs strongly across platforms.
High Engagement with Entertainment, Music, and Vlogs
Music videos, lifestyle vlogs, and entertainment content attract large audiences.
Influence of Regional CIS and Global Content
Content from Russia and global creators significantly shapes local viewing preferences.
Expanding Creator Economy and Influencer Market
Local creators are gaining traction and collaborating with brands.
Digital Advertising & Audience Targeting
Enables segmentation across language, region, and engagement behavior.
Influencer Marketing & Brand Partnerships
Supports identification of rising local creators and influencers.
Media & Entertainment Industry Insights
Helps producers understand audience demand and content trends.
Consumer Behavior & Market Research
Provides insights into digital consumption habits and preferences.
Education & Public Awareness Campaigns
Supports outreach initiatives through video-based communication.
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.
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
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
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.
Video Metadata (Title, Category, Language, Upload Date)
Identifies core attributes of videos including topic, format, and publication timing.
Channel & Creator Information
Captures data on content creators, subscriber counts, upload frequency, and channel growth.
Engagement Metrics (Views, Likes, Comments, Shares)
Measures audience interaction and content performance across videos.
Audience Demographics & Geography
Provides insights into viewer location, age distribution, and engagement behavior.
Watch Time & Retention Metrics
Tracks average viewing duration, retention rates, and drop-off points.
Highly Mature and Competitive Video Market
Japan has a well-developed digital ecosystem with high YouTube penetration and strong competition among creators.
Strong Preference for Japanese-Language Content
Japanese-language content dominates across entertainment, education, and lifestyle categories.
High Engagement with Anime, Gaming, and Music Content
Anime-related content, gaming streams, and J-pop videos generate significant engagement.
Advanced Creator Economy and Brand Collaborations
Influencer marketing and creator partnerships are highly developed and widely adopted.
Multi-Platform and Multi-Device Viewing Behavior
Users consume video across smartphones, desktops, and connected TVs, often across multiple platforms.
Digital Advertising & Audience Targeting
Enables highly precise targeting based on interests, behavior, and demographics.
Influencer Marketing & Brand Strategy
Supports partnerships with top Japanese creators and influencers.
Media & Entertainment Industry Insights
Helps studios and publishers track trends in anime, gaming, and entertainment.
Consumer Behavior & Market Research
Provides insights into evolving digital habits and cultural preferences.
Technology, Education & Public Communication Campaigns
Supports innovation-driven outreach across sectors including education and government.
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.
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
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
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.
Video Metadata (Title, Category, Language, Upload Date)
Identifies core attributes of videos including topic, format, and publication timing.
Channel & Creator Information
Captures data on content creators, subscriber counts, upload frequency, and channel growth.
Engagement Metrics (Views, Likes, Comments, Shares)
Measures audience interaction and content performance across videos.
Audience Demographics & Geography
Provides insights into viewer location, age distribution, and engagement behavior.
Watch Time & Retention Metrics
Tracks average viewing duration, retention rates, and drop-off points.
Massive Mobile-First Video Consumption
Brazil is one of the world’s largest mobile video markets, with high daily watch times.
Strong Demand for Portuguese-Language Content
Brazilian Portuguese dominates across entertainment, education, and news categories.
High Engagement with Music, Entertainment, and Influencer Content
Music videos, comedy, and creator-led content drive dominant engagement.
Rapid Growth of the Creator Economy
Independent YouTubers and influencers play a major role in shaping digital culture and advertising.
Significant Use of Video for Education and Social Awareness
Educational content, tutorials, and civic awareness videos have strong reach and engagement.
Digital Advertising & Audience Targeting
Enables advertisers to reach highly segmented audiences across regions and interests.
Creator Economy & Influencer Marketing Strategy
Supports brands and agencies in identifying high-impact creators and campaigns.
Media & Entertainment Industry Insights
Helps production companies and broadcasters track audience preferences and trends.
Social Research & Cultural Analysis
Provides insights into public sentiment, behavior, and digital culture.
Education & Public Awareness Campaigns
Supports institutions and NGOs in delivering effective video-based outreach.
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.
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
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
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.
Video Metadata (Title, Category, Language, Upload Date)
Identifies core attributes of videos including topic, format, and publication timing.
Channel & Creator Information
Captures data on content creators, subscriber counts, upload frequency, and channel growth.
Engagement Metrics (Views, Likes, Comments, Shares)
Measures audience interaction and content performance across videos.
Audience Demographics & Geography
Provides insights into viewer location, age distribution, and engagement behavior.
Watch Time & Retention Metrics
Tracks average viewing duration, retention rates, and drop-off points.
Highly Mature Digital Video Market with Strong Broadband Penetration
Spain has widespread internet access and strong daily video consumption habits.
Spanish-Language Content Dominance with Strong Latin Influence
Content is heavily driven by Spanish creators with strong connections to Latin America.
High Engagement with Entertainment, Football, Music, and Lifestyle Content
Sports (especially football), music, and entertainment dominate viewing behavior.
Strong Influencer and Creator Economy Across Platforms
Spanish creators have significant reach domestically and across Spanish-speaking markets.
Cross-Platform Consumption Across YouTube, TikTok, and Streaming Services
Users actively consume video across multiple digital platforms.
Digital Advertising & Audience Targeting
Enables precise targeting across a large Spanish-speaking audience.
Sports & Entertainment Marketing
Supports campaigns around football, music, and media industries.
Influencer Marketing & Brand Partnerships
Helps identify top-performing creators in Spain and Latin markets.
Media Strategy & Content Development
Supports optimization of digital content strategies for broadcasters and publishers.
Consumer Behavior & Cultural Trend Analysis
Provides insights into evolving digital media consumption in Southern Europe.
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.
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
Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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.
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
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.
Video Metadata (Title, Category, Language, Upload Date)
Identifies core attributes of videos including topic, format, and publication timing.
Channel & Creator Information
Captures data on content creators, subscriber counts, upload frequency, and channel growth.
Engagement Metrics (Views, Likes, Comments, Shares)
Measures audience interaction and content performance across videos.
Audience Demographics & Geography
Provides insights into viewer location, age distribution, and engagement behavior.
Watch Time & Retention Metrics
Tracks average viewing duration, retention rates, and drop-off points.
Strong French-Language Content Consumption
French dominates across entertainment, education, news, and lifestyle content.
High Engagement with Entertainment, Music, and Film Content
Music videos, cinema-related content, and entertainment channels perform strongly.
Mature and Highly Competitive Creator Economy
France has a well-developed influencer ecosystem with strong brand partnerships.
Rising Demand for Educational and Documentary Content
Academic, tutorial, and documentary-style videos are increasingly popular.
Multi-Platform and Mobile-First Viewing Behavior
Users frequently consume video across YouTube, TikTok, and streaming platforms.
Digital Advertising & Audience Targeting
Enables highly segmented campaigns based on language, interests, and behavior.
Influencer Marketing & Brand Strategy
Supports identification of top-performing creators for collaborations.
Media & Entertainment Industry Insights
Helps production companies and broadcasters understand audience demand.
Consumer Behavior & Cultural Analysis
Provides insights into viewing habits, sentiment, and cultural trends.
Education & Institutional Communication
Supports universities, NGOs, and public institutions in outreach campaigns.
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.
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
Facebook
Twitterhttp://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/
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.