Begin by exporting the data from your Coda document. Navigate to your Coda document, and identify the table or section you wish to export. Use the "Export" option to save the data in a CSV or Excel format. This file will be used as a source to import data into MySQL.

Open the exported CSV or Excel file and ensure that the data is clean and correctly formatted. Check for any inconsistencies, such as missing headers or incorrect data types, and make necessary adjustments. Save the file in CSV format if it is not already, as CSV is the most straightforward format for importing into MySQL.

Access your MySQL server using a MySQL client like MySQL Workbench or the MySQL command-line tool. Create a new database if needed by executing:
```sql
CREATE DATABASE coda_data;
```
Then, create a table within this database that matches the structure of your CSV file:
```sql
USE coda_data;
CREATE TABLE coda_table (
column1 VARCHAR(255),
column2 INT,
column3 DATE,
...
);
```
Ensure that the data types in MySQL match those in your CSV file.

Use the `LOAD DATA INFILE` command to import the data from the CSV file into your MySQL table. The command can be executed in the MySQL client:
```sql
LOAD DATA INFILE '/path/to/your/csvfile.csv'
INTO TABLE coda_table
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
IGNORE 1 ROWS;
```
Replace `'/path/to/your/csvfile.csv'` with the actual path to your CSV file. The `IGNORE 1 ROWS` clause skips the header row of the CSV.

After loading the data, verify that the import was successful by querying the table:
```sql
SELECT FROM coda_table;
```
Check if the number of rows and the data match what you expect from the CSV file.

If you encounter errors during the import, review the error messages provided by MySQL. Common issues include incorrect file paths, permission issues, or data type mismatches. Correct any issues in the CSV file or table schema as needed and attempt the import again.

If you need to perform this data transfer regularly, consider writing a script to automate the process. This can be done using a shell script or a programming language like Python, which can execute SQL commands and handle file operations. Ensure that the script includes error handling and logging to make the automation robust.

By following these step-by-step instructions, you can efficiently move data from Coda to a MySQL destination without relying on third-party connectors or integrations.