A Instagram (travel influencers) dataset of 1,203,723 posts from travel influencers, collected by Seungbae Kim and Jinyoung Han (2020). Each record contains post caption text, like count, comment count, video/ad flags, tagged user count, location presence, image dimensions, timestamp, and influencer follower count. The dataset is notable for its subset of 9.7M-post Instagram influencer dataset covering the travel category, with rich per-post engagement signals and influencer-level metadata. Intended for research into influencer marketing analysis, engagement prediction, social media content analysis, and sponsorship detection. This package holds the post metadata (one JSON .info file per post) and influencer lists; the post images, which the authors distribute separately on request, are not included.
A Instagram (food influencers) dataset of 1,039,706 posts from food influencers, collected by Seungbae Kim and Jinyoung Han (2020). Each record contains post caption text, like count, comment count, video/ad flags, tagged user count, location presence, image dimensions, timestamp, and influencer follower count. The dataset is notable for its subset of 9.7M-post Instagram influencer dataset covering the food category, with rich per-post engagement signals and influencer-level metadata. Intended for research into influencer marketing analysis, engagement prediction, social media content analysis, and sponsorship detection. This package holds the post metadata (one JSON .info file per post) and influencer lists; the post images, which the authors distribute separately on request, are not included.
A YouTube Shorts dataset of 68,699 short-form video records (metadata only), collected by JamilAL01 via the YouTube Data API (GitHub, 2025). Each record contains video title, description, tags, channel info, category, and engagement metrics (views, likes, comments, duration). metadata-only corpus with no video files — purely textual and categorical fields enabling content and engagement analysis without requiring video storage or processing. Suitable for short-form video trend analysis, content categorization, engagement prediction, and creator behavior modeling.
Instagram
YouTube