Begin by accessing the Zendesk Talk API. You’ll need to authenticate using your Zendesk account credentials. Create an API token in the Zendesk Admin Center by navigating to "Channels" > "API" > "Settings" and enable API token access. Note down the token as you'll need it for authentication in subsequent steps.

Use the Zendesk Talk API to fetch the data you need. You can do this by sending HTTP GET requests to the appropriate endpoints. For instance, to get call data, you would use the endpoint: `https://{subdomain}.zendesk.com/api/v2/channels/voice/calls.json`. Replace `{subdomain}` with your Zendesk subdomain. Use a tool like cURL or Python's `requests` library to handle the HTTP requests and parse the JSON response.

Set up your MySQL database to receive the data. This involves creating a new database and table(s) that match the structure of the data you intend to import. For example, if you're importing call logs, your table might include columns for call ID, agent ID, call duration, timestamp, etc.

After fetching data from Zendesk, transform it to match the schema of your MySQL database. This step involves mapping Zendesk data fields to your database columns and converting data types if necessary. You can use a scripting language like Python to automate this process, ensuring that each field from the API response is correctly formatted for insertion into MySQL.

Establish a connection to your MySQL database using a database driver or library. If using Python, the `mysql-connector-python` library is a good choice. Install it using pip (`pip install mysql-connector-python`) and then create a connection object using your database credentials (host, database name, user, and password).

With the data transformed and the database connection established, you can proceed to insert the data into your MySQL tables. Construct SQL `INSERT` statements for each record and execute them using your database connection. Ensure that you handle any potential errors, such as duplicate entries or data type mismatches, gracefully.

To keep your MySQL database updated with the latest data from Zendesk Talk, automate the entire process using a cron job (on Unix-based systems) or Task Scheduler (on Windows). Write a script that encapsulates all the steps above and schedule it to run at regular intervals, such as daily or hourly, depending on your needs.

By following these steps, you can efficiently move data from Zendesk Talk to a MySQL database without relying on third-party connectors or integrations.