To extract data from TMDb, you need an API key. Register for a free account on TMDb's website and navigate to your account settings to generate an API key. This key will allow you to make requests to TMDb's API.

Familiarize yourself with TMDb's API documentation. Identify the endpoints you need to extract the desired data, such as movie details, genres, or credits. Make sure you understand the structure of the API response, which is typically in JSON format.

Choose a programming language that you're comfortable with, such as Python. Ensure you have the necessary environment set up, including any libraries you'll use for making HTTP requests (e.g., `requests` for Python) and handling JSON data.

Write a script to make HTTP GET requests to the TMDb API endpoints using your API key. For example, in Python, use the `requests` library to fetch data. Parse the JSON responses to extract the relevant data fields you need, such as movie titles, release dates, and ratings.

Organize the data you retrieved into a format suitable for CSV storage. Typically, you'll want to structure each entry as a dictionary or list with consistent keys or indexes that represent column headers in the CSV file, such as "Title", "Release Date", "Rating", etc.

Use a CSV library in your chosen programming language to write the structured data to a CSV file. In Python, the `csv` module allows you to write rows of data to a CSV file. Open a file in write mode and use `csv.writer` to write the headers first, followed by each row of data.

After writing the data to a CSV file, open it to ensure the data is correctly formatted and complete. Check for any missing values or discrepancies. If necessary, adjust your script to handle exceptions or edge cases, such as missing data fields in the API response.

By following these steps, you can successfully move data from TMDb to a CSV file without relying on third-party connectors or integrations.