Begin by ensuring that you have Python installed on your system, as it will be essential for fetching data from the News API and interacting with DuckDB. You can verify your Python installation by running `python --version` in your terminal or command prompt. If not installed, download and install it from the [official Python website](https://www.python.org/downloads/).

To access the News API, you need an API key. Register on the [News API website](https://newsapi.org/) and navigate to your account to generate a free API key. This key will be included in your requests to authenticate and retrieve data.

Use Python to write a script that makes HTTP GET requests to fetch data from the News API. You can use the `requests` library for this purpose. First, install the library by running `pip install requests`, then use it to send a request with your API key and desired parameters, such as the news source or search query. Parse the JSON response and extract the relevant data fields.

Once you have the data from the News API, organize it into a format suitable for DuckDB. This typically involves structuring the data as a list of dictionaries or a pandas DataFrame, where each dictionary or row represents an article with fields like title, description, and publication date. Install pandas using `pip install pandas` if you choose to use it for data manipulation.

Install DuckDB by running `pip install duckdb` in your terminal. DuckDB is an in-process SQL OLAP database management system that allows you to run SQL queries on your data. After installation, you can import DuckDB in your Python script to create a new database or connect to an existing one.

Use DuckDB's SQL interface to create a table that matches the structure of your prepared data. This involves defining the schema with appropriate data types for each column, such as VARCHAR for text fields and TIMESTAMP for dates. Execute the `CREATE TABLE` SQL statement within your Python script using DuckDB's connection object.

Finally, load your prepared data into the DuckDB table. If you used a pandas DataFrame, you can leverage DuckDB's built-in functionality to directly insert the DataFrame into your table using a `from_df` method or similar. Otherwise, construct and execute an `INSERT INTO` SQL command for each row of data. Make sure to handle any exceptions and confirm the data is correctly inserted by running a simple `SELECT` query to verify the contents of your table.

By following these steps, you can efficiently move data from the News API to DuckDB without relying on any third-party connectors or integrations.