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.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
This listing uses a single pricing dimension: Product Access (Units). It is offered free, so you gain access to the product without a per-unit charge on this dimension. There are no tiers, instance sizes, or usage add-ons to compare here. The unit-based structure grants subscribers access to the YouTube profiles, posts, and comments data product. Because only one dimension exists, pricing does not scale across separate plans within this listing.
Top-of-mind questions for buyers
What does one unit of Product Access cover for this YouTube data product?
A unit grants a subscriber access to the YouTube profiles, posts, and comments data product. It is not metered per record on this listing dimension. The dimension exists to enable access rather than to charge per extracted item.
What counts as one record in this YouTube profiles, posts, and comments data?
One record equals one entity: one channel profile, one video or post, or one comment. Each record is a single row or JSON object holding all collected fields for that entity, such as handle, subscribers, likes, views, comment text, and replies.
What data fields can I expect for YouTube profiles, posts, and comments?
Channel records include handle, banner image, profile image, name, subscribers, and description. Video posts include URL, title, video length, likes, and views. Comment records include comment text, likes, replies, username, user channel, and date.
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