Begin by familiarizing yourself with the TVmaze API, specifically the schedule endpoint. Visit the TVmaze API documentation to understand the JSON structure returned by the schedule endpoint. This usually includes fields like show name, airdate, airtime, network, etc.

Install PostgreSQL on your system if it is not already installed. Create a new database and table(s) to hold the schedule data. Design the table schema to match the structure of the data you will retrieve from TVmaze. For example, create columns for show name, airdate, airtime, etc.

Use a programming language like Python to write a script that makes HTTP requests to the TVmaze schedule endpoint. Use a library like `requests` to handle HTTP operations. Parse the JSON response to extract relevant data fields.

Once the data is fetched, you may need to transform or clean it to match your PostgreSQL table schema. This could involve formatting dates, handling missing values, or renaming fields. Ensure the data is in a format suitable for insertion into your database.

Use a database driver in your chosen programming language to connect to your PostgreSQL database. In Python, you can use the `psycopg2` library. Establish a connection using credentials like hostname, database name, user, and password.

With the connection established, write SQL `INSERT` statements to add the data into your PostgreSQL table. You can use a loop to iterate over the dataset and insert each record individually. Make sure to handle exceptions and commit the transaction after successful insertion.

To keep your PostgreSQL database updated with the latest schedule data, automate the script using a task scheduler. On UNIX-like systems, you can use `cron` jobs, while on Windows, you can use Task Scheduler. Set the script to run at regular intervals, such as daily or hourly.

By following these steps, you’ll be able to move data from the TVmaze schedule to a PostgreSQL database without relying on third-party connectors or integrations.