YouTube Comments API for Academic Researchers

• Accessing large-scale social media datasets
• Ensuring research reproducibility
• IRB approval for ethical data collection
• Processing unstructured social media content

Access structured social media data at scale for academic research. Collect transcripts, engagement metrics, and comments with timestamped data perfect for longitudinal studies and reproducible research.

Analyze audience sentiment and feedback at scale. Understand how viewers react to your content and identify common themes.

Brands analyze comments on product launch videos to gauge reception, identify common concerns, and find testimonials for marketing.

Extract feature requests, bug reports, and suggestions from video comments. Turn unstructured feedback into actionable product insights.

SaaS companies mine tutorial video comments for feature requests and pain points, prioritizing their product roadmap based on real user needs.

Monitor comments for questions, spam, and moderation needs. Automate responses and flag content requiring attention.

Creator teams use automation to flag toxic comments, identify unanswered questions, and send notifications for engagement opportunities.

Analyze competitor video comments to understand audience pain points, questions, and unmet needs in your market.

Product teams read comments on competitor demos, identifying features users request that aren't available, finding product differentiation opportunities.