yatrdm

Yatrdm is a lightweight, open-source tool designed to manage and automate tasks related to YouTube channels, particularly focusing on video metadata and analytics. It is written in Python and leverages the YouTube Data API to interact with YouTube content programmatically. The project is maintained by a small community of developers and enthusiasts who aim to provide a simple yet powerful solution for YouTube content creators, researchers, and data analysts.

The primary function of yatrdm is to facilitate the extraction, analysis, and management of YouTube video data. It allows users to retrieve metadata such as titles, descriptions, views, likes, comments, and upload dates for videos within a specified channel or playlist. Additionally, it can generate reports, track performance trends, and assist in organizing content. The tool is particularly useful for creators looking to optimize their video strategies or for researchers studying YouTube’s ecosystem.

Yatrdm operates by authenticating with a user’s Google account via OAuth 2.0, granting it access to the YouTube Data API. Once authorized, users can query specific channels or playlists, fetch relevant data, and export it in formats like CSV or JSON for further analysis. The tool is designed to be extensible, allowing developers to add custom scripts or integrations for specialized use cases.

While yatrdm is not a fully featured alternative to dedicated analytics platforms like YouTube Studio, it offers a cost-effective and flexible option for users who prefer command-line or script-based workflows. The project is hosted on GitHub, where users can contribute to its development, report issues, or suggest new features. Due to its open-source nature, yatrdm is regularly updated to comply with YouTube’s API changes and improve functionality.

For those interested in using yatrdm, basic familiarity with Python and command-line interfaces is recommended. Documentation and installation instructions are available on the project’s repository, along with examples demonstrating common use cases. The tool is free to use under an open-source license, making it accessible to a wide range of users.