Begin by ensuring you have the necessary tools installed: a programming language runtime (like Python, Node.js, etc.) and Redis. Install Redis on your local machine or set it up on a server. Additionally, ensure you have access to the public API you want to pull data from, including any necessary API keys or authentication tokens.

Write a script in your chosen programming language to fetch data from the public API. Use built-in libraries or modules to make HTTP requests (e.g., `requests` in Python or `http`/`https` in Node.js). Ensure you handle any authentication required by the API and parse the response to extract the data you need.

Once you have the data from the API, parse it into a suitable format for storage in Redis. This can involve converting JSON data into Python dictionaries, JavaScript objects, or any other format that suits your needs. Transform the data as necessary, for example, by filtering out unwanted fields or converting data types.

Establish a connection to your Redis instance using a Redis client library available for your programming language (e.g., `redis-py` for Python, `redis` for Node.js). Configure the client with the correct connection parameters such as host, port, and password if applicable. Test the connection to ensure it's working correctly.

Use the Redis client to store the parsed and transformed data. Choose the appropriate Redis data structure for your needs, such as strings, lists, sets, or hashes. For example, you might use hashes to store objects with multiple fields or sets for unique items. Consider using pipelines to efficiently batch multiple commands if storing a large amount of data.

Incorporate error handling in your script to manage potential issues like network errors, data inconsistencies, or Redis connection failures. Implement logging to track the execution of your script, including successful data fetches and stores, as well as any errors encountered. This information will be invaluable for debugging and monitoring.

Automate the process of fetching and storing data by scheduling your script to run at regular intervals. Use system tools like cron jobs on Unix-based systems or Task Scheduler on Windows to set the frequency of updates according to your needs. Ensure your script is idempotent and can handle updates gracefully to avoid data duplication or corruption.

By following these steps, you can efficiently move data from a public API to Redis without relying on third-party connectors or integrations.