To start, visit the Dixa API documentation page. This resource provides necessary information about the available endpoints and the required authentication process. Familiarize yourself with the API’s capabilities and the data you can extract.

Log in to your Dixa account and navigate to the API settings section. Generate an API key that will allow you to authenticate your requests. Make sure to store this key securely, as it will be needed to access the API and retrieve data.

Determine which data endpoints you need access to. Common endpoints might include customers, conversations, and messages. Note down the endpoint URLs and the type of data each provides. This will guide you in forming the correct API requests.

Use a tool like curl or a programming language with HTTP request capabilities (e.g., Python with requests library) to compose your API queries. Ensure your requests include the necessary headers for authentication, such as `Authorization: Bearer `. Test your requests to ensure they return the expected data.

Execute the API requests to fetch the desired data. Collect the data in a structured format, such as JSON. You might need to handle pagination if the data is too large, by iterating through pages using parameters provided by the API, like `page` or `limit`.

Once you receive the data, transform it into a CSV format. This can be done using a scripting language like Python. Use libraries such as pandas to parse the JSON response and convert it to a CSV file. Ensure that you define the columns and format the data consistently.

After transforming the data, save the CSV file locally on your computer. Specify a directory path and file name that are easily accessible. Verify the CSV file to ensure all data has been recorded correctly and is formatted as expected.

By following these steps, you can efficiently move data from Dixa to a local CSV file without relying on third-party services or integrations.