First, ensure you have access to the GNews API. Sign up on the GNews website and generate an API key. This key will allow you to authenticate your requests to the GNews API and retrieve news data.

Install the necessary Python libraries to interact with both GNews and DynamoDB. You will need `requests` for making HTTP requests to the GNews API and `boto3` for interacting with DynamoDB. You can install them using pip:
```bash
pip install requests boto3
```

Write a Python script to fetch data from the GNews API. Use the `requests` library to send HTTP GET requests with your API key. Specify the endpoint and parameters such as search queries or topic filters to retrieve the desired news articles.
```python
import requests

def fetch_news(api_key, query):
url = f"https://gnews.io/api/v4/search?q={query}&token={api_key}"
response = requests.get(url)
if response.status_code == 200:
return response.json()['articles']
else:
raise Exception('Failed to fetch data from GNews')
```

Configure your AWS environment to interact with DynamoDB. Install the AWS CLI and configure your credentials using:
```bash
aws configure
```
Provide your AWS Access Key ID, Secret Access Key, region, and output format when prompted.

In your AWS Management Console or using the AWS CLI, create a DynamoDB table to store the news data. Define the primary key schema based on your requirements, such as `article_id` or `url` to ensure uniqueness. Use the following AWS CLI command as an example:
```bash
aws dynamodb create-table --table-name NewsArticles \
--attribute-definitions AttributeName=url,AttributeType=S \
--key-schema AttributeName=url,KeyType=HASH \
--provisioned-throughput ReadCapacityUnits=5,WriteCapacityUnits=5
```

Use the `boto3` library to load the fetched news data into DynamoDB. Transform the data structure as needed to match the table's schema and use `put_item` to insert each article.
```python
import boto3

def load_data_to_dynamodb(articles, table_name):
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table(table_name)
for article in articles:
table.put_item(Item={
'url': article['url'],
'title': article['title'],
'description': article['description'],
'publishedAt': article['publishedAt']
# Add more fields as needed
})
```

Schedule your script for regular execution to keep your DynamoDB table updated with the latest data. Use a task scheduler like cron (Linux/Mac) or Task Scheduler (Windows) to run the script at desired intervals, ensuring continuous data flow from GNews to DynamoDB.

By following these steps, you can effectively transfer data from GNews to DynamoDB using Python scripts and AWS resources without relying on third-party connectors.