To begin, familiarize yourself with FullStory's API documentation. FullStory provides a RESTful API that allows you to extract data. Determine the specific data you want to move, such as session data or user interactions, and understand the endpoints and parameters involved.

FullStory's API requires authentication via an API key. Generate your API key from the FullStory dashboard, then securely store it. This key will be necessary for making authorized requests to the API.

Write a script in your preferred programming language (e.g., Python, Node.js) to make HTTP GET requests to FullStory's API endpoints. Use your API key to authenticate these requests. Parse the JSON response to extract the data you need.

Once you have the raw data, transform it into a format suitable for Redis. Redis is a key-value store, so organize your data in key-value pairs. Consider how you'll structure keys to ensure efficient data retrieval, such as using user IDs or session IDs as keys.

Establish a connection to your Redis instance. If you're using a local instance, ensure it is running. For a cloud-based instance, ensure you have the necessary connection details (host, port, and authentication credentials).

Use a Redis client library in your chosen programming language to insert the transformed data into Redis. Utilize the appropriate Redis data structures (e.g., strings, hashes, lists) based on your data's nature and retrieval requirements. Ensure data is inserted correctly by verifying a few sample entries.

Data in FullStory changes over time, so set up a cron job or a scheduled task to run your data extraction and loading script at regular intervals. This ensures that your Redis instance stays up-to-date with the latest data from FullStory. Adjust the frequency based on your data needs and system capabilities.

By following these steps, you can effectively move data from FullStory to Redis without relying on third-party connectors or integrations.