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Automating YouTube Shorts Uploads with a Serverless Application using AWS Lambda and API Gateway in Python
Requirement: I manage a YouTube channel dedicated to sharing Christian content. Typically, I create a batch of short videos over the weekend and then upload one or two shorts daily. To streamline this process, I decided to create a serverless application to automate the uploading process. I’ll put all the short videos in an S3 bucket, and each video’s name will be when it should be uploaded to YouTube. Additionally, a spreadsheet will contain video titles, descriptions, and tags associated with the short video files.
The automated process not only saves time uploading the shorts but also enhances efficiency and quality, as it allows me to spend more time on content creation.
In this article, I will provide a high-level overview of developing a serverless application using Amazon API Gateway, AWS Lambda, and Python to simplify the YouTube video shorts upload process. You can change it to fit your own requirement.
Disclaimer: The article has affiliate links
Prerequisites
Ensure that you have the following before proceeding:
- An AWS account
- Python installed on your local machine
