Begin by familiarizing yourself with the Okta API documentation. Okta provides RESTful APIs that allow you to programmatically retrieve data, such as user profiles and group memberships. Ensure you have the necessary permissions and API tokens to access the data you need.

Install the AWS Command Line Interface (CLI) on your local machine or server. Configure it with your AWS credentials using `aws configure`. Create an S3 bucket where you will store the data. Note the bucket name and region for use in subsequent steps.

Write a script in a programming language like Python or Node.js to make HTTP GET requests to the Okta API endpoints. Use the API token for authentication. Parse the JSON responses to extract the necessary data. Ensure the script handles pagination if the data set is large.

Once you retrieve the data from Okta, format it as needed (e.g., as a CSV or JSON file) and save it to a local directory. Ensure the data is sanitized and properly formatted to avoid errors when uploading to S3.

Use the AWS CLI to upload the file to your S3 bucket. The command will look something like this:
```
aws s3 cp /path/to/your/file s3://your-s3-bucket-name/
```
Verify that the file has been uploaded successfully by checking the S3 bucket.

To automate the process, schedule the script to run at regular intervals using a task scheduler like cron (Linux/Mac) or Task Scheduler (Windows). This ensures that your data in S3 is regularly updated with the latest information from Okta.

Enhance your script with logging functionality to track when data transfers occur and to capture any errors that might arise. Use try-except blocks (in Python) or similar error handling constructs in other languages to gracefully handle potential issues like network failures or API rate limits.

Following these steps will allow you to seamlessly move data from Okta to Amazon S3 without relying on third-party connectors or integrations.