YouTube scraping dataset for "South Africa" ​​in Indonesian 2021-2025 (Bahasa Indonesia version)

The uploaded dataset consists of a structured collection of YouTube videos related to South Africa from 2021 to 2025, capturing both content-level and platform-level attributes. Each record includes detailed metadata such as video ID, title, channel name, subscriber count, upload date, duration, category, and engagement metrics including views, likes, estimated dislikes, and comments. In addition, the dataset incorporates contextual variables such as tags, language, subtitle availability, video resolution, and Shorts classification, allowing for nuanced analysis of content format and accessibility. Importantly, it also includes a sentiment indicator derived from audience comments, enabling the examination of representational outcomes. The presence of scraping timestamps further supports data traceability and reproducibility. The dataset provides a comprehensive empirical foundation for analyzing framing, algorithmic mediation, and representation within YouTube’s platform environment.