This repository contains a TypeScript-based automation solution using Puppeteer to schedule video uploads on YouTube Studio. With this automation setup, you can schedule videos seamlessly without being bound by YouTube API quotas. It streamlines the process, saves time, and enhances your content creation workflow.

• Seamless Scheduling: Schedule videos to be published on specific dates and times, ensuring optimal audience engagement.
• Bulk Scheduling: Automate the scheduling of multiple videos at once, saving valuable time and effort.
• Customization Options: Customize video details like titles, descriptions, tags, and thumbnails to optimize discoverability and viewer engagement.
• Reliable Automation: Utilize Puppeteer's browser automation capabilities to interact with YouTube Studio, mimicking human-like actions for scheduling videos.
• Unlimited Scheduling: Schedule as many YouTube videos as you want, without worrying about API quotas or limitations.

Before running the automation script, make sure you have the following:

• Node.js and npm installed on your machine.
• TypeScript compiler (tsc) installed globally or locally within the project.

1. Clone this repository to your local machine.
2. Install the dependencies by running npm install.
3. Build the TypeScript code using tsc.
4. Run the automation script using npm start.
5. Sit back and let the automation take care of scheduling your YouTube videos on YouTube Studio!

You can customize the automation script to fit your specific needs:

• Adjust the scheduling logic in schedule.ts to match your preferred scheduling strategy.
• Modify the video details in index.ts to tailor each video's metadata for better discoverability and viewer engagement.

• As with any automation solution, please use this tool responsibly and comply with YouTube's terms of service and community guidelines.
• This automation solution relies on Puppeteer, which may require periodic updates to match changes in the YouTube Studio interface.

Contributions to this automation project are welcome! If you find any issues, have suggestions for improvements, or want to add new features, please open an issue or submit a pull request.

This project is licensed under the MIT License.