First, enable the Google Sheets API for your project in the Google Cloud Console. Go to the API library, find Google Sheets API, and click "Enable". This will allow you to access and manipulate data in Google Sheets programmatically.

Navigate to the Credentials page in Google Cloud Console. Click on "Create Credentials" and choose "Service Account". Follow the prompts and download the JSON file containing your API credentials. This file will be used to authorize your application.

On your local machine, ensure you have Python installed, then install the necessary libraries using pip. Run the following command to install `google-auth`, `google-auth-oauthlib`, `google-auth-httplib2`, and `gspread` for Google Sheets interaction, and `pika` for RabbitMQ communication:

```bash
pip install google-auth google-auth-oauthlib google-auth-httplib2 gspread pika
```

Use the `gspread` library to read data from your Google Sheets document. Authenticate using the JSON credentials file and access the specific sheet you want to read.

```python
import gspread
from google.oauth2.service_account import Credentials

# Define the scope
scope = ["https://spreadsheets.google.com/feeds", "https://www.googleapis.com/auth/drive"]

# Authorize the client
creds = Credentials.from_service_account_file('path/to/your/credentials.json', scopes=scope)
client = gspread.authorize(creds)

# Open the Google Sheet
sheet = client.open('Your Spreadsheet Name').sheet1

# Get all values
data = sheet.get_all_records()
```

Install RabbitMQ on your local machine or server. You can download it from the official RabbitMQ website. Once installed, start the RabbitMQ service. Ensure that the management plugin is enabled to allow easy monitoring.

Use the `pika` library to connect to RabbitMQ and publish the data read from Google Sheets to a queue.

```python
import pika
import json

# Establish a connection to RabbitMQ
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()

# Declare a queue
channel.queue_declare(queue='your_queue_name')

# Publish each record to the queue
for record in data:
message = json.dumps(record)
channel.basic_publish(exchange='', routing_key='your_queue_name', body=message)
print(f"Sent: {message}")

# Close the connection
connection.close()
```

Use the RabbitMQ management interface or command-line tools to verify that the data has been successfully transferred to RabbitMQ. Check the queue to ensure the messages are present, indicating successful data transfer from Google Sheets.

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