Before you can move data from an RSS feed to Amazon S3, you need to understand the structure of an RSS feed. Typically, an RSS feed is an XML file that contains structured data like title, link, description, and publication date. Familiarize yourself with XML parsing to extract relevant information from an RSS feed.

Ensure you have an AWS account set up and have the necessary IAM roles and permissions to access and write to an S3 bucket. Create an S3 bucket if you haven't already, and note down the bucket name and region for use in later steps.

Use a programming language like Python to write a script that fetches data from the RSS feed URL. Libraries such as `requests` can be used to make HTTP requests to the RSS feed, and `xml.etree.ElementTree` can be utilized to parse the XML content.

Once you have fetched the RSS feed data, parse the XML to extract the required information. This might include looping through each item element in the feed and extracting fields like title, link, and description. Store this data in a structured format, such as a list of dictionaries.

Convert the parsed data into a format suitable for upload to S3, such as JSON or CSV. Python's built-in `json` module or `csv` module can be used to serialize the data into these formats. Ensure your data is well-formatted and free of errors before proceeding to the upload step.

Use AWS SDK for Python (Boto3) to upload the prepared data to your S3 bucket. Initialize a Boto3 session, and use the `put_object` method to upload your file to the specified S3 bucket. Make sure to specify the correct bucket name, key (file name), and content type (e.g., `application/json`).

To keep your data in S3 updated with the latest RSS feed entries, automate the script using a scheduler like cron (on Unix-based systems) or Task Scheduler (on Windows). This will allow the script to run at regular intervals, ensuring that your S3 bucket always contains the latest data from the RSS feed.