Begin by obtaining access to the Smartsheet API. Register for an API key from the Smartsheet Developer Portal. This key will allow you to authenticate and interact with your Smartsheet data programmatically. Make sure to note down your API key securely.

Use the Smartsheet API to fetch the data you want to move. This typically involves making a GET request to the Smartsheet endpoint that contains your sheet data. You may need to specify the Sheet ID to target the correct data. Parse the JSON response to extract the necessary data fields.

Once you have the data, format it into a structure suitable for RabbitMQ. RabbitMQ often works with JSON messages, so ensure your data is serialized correctly into JSON format. Pay attention to the schema and structure required by your RabbitMQ consumers.

Ensure you have RabbitMQ installed and running on your server. You can install RabbitMQ using package managers like apt, yum, or through Docker. Once installed, configure RabbitMQ, including setting up your exchanges and queues where the data will be sent.

Use a RabbitMQ client library (such as Pika for Python) to establish a connection to your RabbitMQ server. You will need to provide connection details such as the hostname, port, username, and password. Test the connection to ensure it's working before proceeding.

With the connection established, create a channel and specify the exchange and routing key you set up earlier. Use the `basic_publish` method to send the formatted JSON data to RabbitMQ. Handle any exceptions or errors to ensure robust data transfer.

Finally, verify that the data has been successfully transferred to RabbitMQ. You can do this by setting up a temporary consumer to read from the queue and check the data. Alternatively, use RabbitMQ's management interface to inspect the messages in the queue, ensuring the data appears as expected.