YouTube Data API with Python: Automate Video Actions and Metadata

Managing a video channel manually can be incredibly time-consuming, especially when handling large volumes of metadata, uploads, and interactions. Programmatic automation allows you to streamline these workflows, saving hours of manual labor. This written course guides you through the process of interacting with the YouTube Data API using Python. You will learn how to set up your environment, authenticate securely, and perform key actions such as retrieving video statistics, uploading new content, and managing comments. What you'll learn: Understand the core architecture of the YouTube Data API and its resources; Configure secure OAuth 2.0 authentication and manage API credentials safely; Retrieve video metadata, search results, and channel statistics programmatically; Upload, update, and delete videos using Python scripts; Manage video comments, playlists, and ratings through API calls; Apply modern Python practices, including virtual environments, type hints, and structured error handling. The course begins with foundational API concepts and credential setup before moving into hands-on Python scripts for data retrieval and channel management. You will progress from simple read-only queries to advanced write operations and automation workflows. Designed for Python beginners and developers looking to automate video workflows, this course requires only basic Python knowledge and no prior API experience. Start reading today to unlock the power of programmatic video management.