First, determine the method of accessing Google News data. If an API is available, you can use this to retrieve news data. If not, you may need to scrape the website. For scraping, use a Python library like BeautifulSoup or Scrapy to extract news articles from Google News.

Once you have access to the raw data, parse the relevant information such as headlines, article links, and publication dates. This involves cleaning and structuring the data into a format suitable for further processing, such as JSON or CSV.

Install RabbitMQ on your server or local machine. You can do this by downloading the RabbitMQ server from their official website and following the installation instructions for your operating system. Ensure RabbitMQ is running before proceeding to the next steps.

Pika is a pure-Python RabbitMQ client library. Install it using pip:
```bash
pip install pika
```
Configure a connection to RabbitMQ using Pika by defining a connection and channel. This will allow you to send messages to RabbitMQ.

Convert the parsed news data into a message format that RabbitMQ can accept. This typically involves serializing the data into a JSON string, which can then be published to a RabbitMQ queue.

Use Pika to publish the serialized news data to a RabbitMQ queue. Establish a connection and a channel, declare a queue, and use the `basic_publish` method to send the data. Ensure that you handle any exceptions or errors that occur during this process.

After publishing, verify that the data has been successfully sent to RabbitMQ. You can do this by consuming messages from the queue using a simple consumer script, or by using RabbitMQ's management interface to inspect the queue contents.

By following these steps, you can move data from Google News to RabbitMQ without relying on third-party connectors or integrations.