
Overview
We provide 3 types of YouTube datasets:
1)YouTube - Profiles Dataset:
Extract business and non-business insights from public YouTube channels, including subscriber counts, creation dates, and descriptions. Customizable dataset allowing filtering by channel name, views, creation date, or subscribers.
Key Features: -URLs linking directly to YouTube profiles. -Unique identifiers for each channel. -Profile images and banner URLs. -Number of subscribers and videos uploaded. -Brief channel descriptions. And more!
Use Cases: -Influencer Identification: Identify emerging influencers with over 1,000 subscribers for collaboration opportunities. -Brand Monitoring: Monitor changes in subscriber counts and engagement metrics for brand sentiment analysis. -Audience Segmentation: Analyze channel descriptions and content themes to understand audience demographics and interests.
2)YouTube - Videos Posts Dataset:
Comprehensive collection of information regarding videos posted on YouTube, including titles, lengths, views, likes, and comments. Valuable resource for analyzing user engagement, content trends, and audience interactions on the platform.
Key Features: -URLs linking directly to YouTube videos. -Titles, lengths, and creation dates of videos. -Engagement metrics such as likes, views, and comments. -Descriptions and channel URLs associated with each video.
Use Cases: -Trend Analysis: Identify trending topics and content formats based on video views and engagement metrics. -Audience Engagement: Analyze comments and likes to understand audience sentiment and interaction patterns. -Content Strategy Optimization: Refine content strategies based on performance metrics and audience feedback.
3)YouTube - Comments Dataset:
Valuable information regarding user interactions on YouTube, including comment text, likes, replies, and commenter details. Insights into audience sentiment, engagement, and interaction patterns within YouTube videos.
Key Features: -Comment text, likes, and replies. -Commenter usernames and YouTube channel URLs. -Dates and URLs linking to the videos where comments were posted. And more!
Use Cases: -User Engagement Analysis: Gain insights into audience sentiment and behavior through analysis of comments and engagement metrics. -Content Virality: Identify comments with high likes or replies, indicating viral discussions or user engagement. -Influencer Identification: Discover influential commenters and engage with them to foster community interaction.
Why Choose Our Datasets? 1.Holistic Insights: Gain a comprehensive understanding of YouTube activity, from profiles to comments, enabling informed decision-making. 2.Advanced Analytics: Utilize sophisticated tools for deep market analysis, audience segmentation, and content strategy optimization. 3.Enhanced Engagement: Leverage insights to foster meaningful interactions with users, optimize content strategies, and enhance brand visibility. 4.Targeted Marketing: Understand audience demographics and preferences for precise targeting and personalized engagement. 5.Competitive Advantage: Access comprehensive YouTube data conveniently on Marketplaces, staying ahead in the dynamic world of online video marketing.
Note: This is a sample - for all datasets, please contact us.
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AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Yotube Profiles, Posts, Comments | All historical revisions | All future revisions | Not included | Not included |