Begin by creating an Apify actor that will perform the data extraction. Define the actor's purpose, which could be web scraping or API data fetching. Ensure that the actor is correctly configured to output the data in a format that can be easily processed later, such as JSON.

Use Apify's built-in data storage solutions like Key-Value Store or Dataset to store the data extracted by your actor. This setup allows you to keep the data temporarily and ensures that it is accessible for further processing.

Create a script using a language like Node.js or Python that will access your Apify data storage. This script should use Apify's API to programmatically retrieve the stored data. You can use HTTP requests to pull data from the Key-Value Store or Dataset by accessing their respective API endpoints.

Install and configure RabbitMQ on your server. Ensure that RabbitMQ is running and accessible. You will need the connection details such as the host, port, username, and password for connecting to RabbitMQ from your script.

Extend your data retrieval script to establish a connection with RabbitMQ. You can use a RabbitMQ client library for your chosen programming language (such as `amqplib` for Node.js or `pika` for Python) to facilitate this connection. Ensure your script can handle authentication and establish a reliable channel.

Modify your script to iterate over the data retrieved from Apify and publish each data item as a message to a RabbitMQ queue. Define the queue within RabbitMQ, and ensure your script declares this queue before sending messages. Use the appropriate method to send each piece of data as a message to RabbitMQ.

Implement error handling in your script to catch and log any issues during data transfer. Once the script runs successfully, verify that RabbitMQ has received the data by checking the queue. You can use RabbitMQ management tools or write a separate consumer script to read and validate the messages in the queue.

This guide takes you through the process of moving data from Apify to RabbitMQ manually, ensuring a direct data pipeline without relying on third-party connectors.