Begin by thoroughly reading and understanding the AppFollow API documentation. This will give you insights into the available endpoints, required authentication methods, data formats, and rate limits. Knowledge of how to retrieve data from AppFollow is crucial for the subsequent steps.

Obtain the necessary API keys or tokens required to access the AppFollow API. This typically involves logging into your AppFollow account and accessing the API settings section. Ensure your API credentials are securely stored and can be accessed by your script or application.

Ensure Redis is installed and running on your local machine or server. You can do this by downloading Redis from the official website and following the installation instructions for your operating system. Verify that Redis is running by executing a simple ping command (`redis-cli ping`) in your terminal or command prompt.

Develop a script in your preferred programming language (such as Python, Node.js, or Ruby) to make HTTP GET requests to the AppFollow API. Use your API credentials to authenticate these requests. Parse the JSON response to extract the data you need to store in Redis. Libraries such as `requests` for Python or `axios` for Node.js can be helpful here.

Depending on the data structure returned by AppFollow, you may need to transform or format the data to suit Redis's storage model. Redis supports various data types such as strings, hashes, lists, and sets. Choose the appropriate data type based on how you plan to query or manipulate the data later.

Extend your script to connect to your Redis instance and store the transformed data. Use a Redis client library compatible with your programming language, such as `redis-py` for Python or `redis` for Node.js. Ensure you handle any potential errors in data storage and maintain a consistent format for storing your data in Redis.

To keep your Redis database updated with the latest data from AppFollow, set up a cron job or a scheduled task that runs your script at regular intervals. Consider the rate limits of the AppFollow API to determine an appropriate frequency for these updates. Regular transfers ensure your Redis instance remains in sync with the latest data from AppFollow.

By following these steps, you can efficiently move data from AppFollow to Redis without relying on third-party connectors or integrations, ensuring you maintain control over the data transfer process.