Begin by exporting the data from Airtable. Go to the Airtable base that contains the data you wish to transfer. Click on the "View" menu and select "Download CSV" to export the data as a CSV file. Save this file to a location on your computer where it can be easily accessed.

Prepare your MySQL database to receive the data. If you haven't already set up a MySQL database, install MySQL on your machine or server, and create a new database using your preferred MySQL client (e.g., MySQL Workbench, command-line interface). Use the command `CREATE DATABASE your_database_name;` to create a new database.

Define the table schema in your MySQL database that matches the structure of the Airtable data. You can do this by examining the CSV file and creating a matching table in MySQL. Use the `CREATE TABLE` statement to define the table and its columns. For example:
```sql
CREATE TABLE your_table_name (
id INT PRIMARY KEY AUTO_INCREMENT,
column1 VARCHAR(255),
column2 INT,
column3 DATE
);
```

Before importing, ensure your CSV file is formatted correctly. Make sure the first row contains column headers that match the MySQL table column names if you're planning to use them during the import process. Check for any special characters or discrepancies in data types.

Use the MySQL `LOAD DATA INFILE` command to import the CSV file into your MySQL table. Ensure the MySQL server has permission to access the directory where the CSV file is stored. You can run the following command:
```sql
LOAD DATA LOCAL INFILE '/path/to/yourfile.csv'
INTO TABLE your_table_name
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
IGNORE 1 ROWS;
```
Make sure to replace `/path/to/yourfile.csv` and `your_table_name` with your actual file path and table name.

After the import process, verify that the data has been successfully transferred to the MySQL table. You can do this by running a simple `SELECT` query:
```sql
SELECT * FROM your_table_name;
```
Check the output to ensure all records from the CSV file have been imported correctly and the data types are consistent.

Once the data is successfully imported, perform any necessary clean-up or optimization tasks. This could include removing any duplicate entries, indexing columns for faster queries, or updating any data types if necessary. Use commands like `CREATE INDEX` or `ALTER TABLE` as needed to optimize performance and maintain database integrity.
By following these steps, you can effectively move data from Airtable to a MySQL destination without relying on third-party connectors or integrations.