Begin by logging into your Smartsheet account. Navigate to the sheet you want to export. Click on "File" > "Export" > "Export to CSV". This will download a CSV file of your data, which can be easily used for data manipulation and import into MySQL.

Open the CSV file in a spreadsheet application, like Microsoft Excel or Google Sheets, to review and clean the data if necessary. Ensure there are no inconsistencies or formatting issues such as extraneous commas or mismatched quotes. Save the cleaned file as a CSV.

If you haven't already, install MySQL Server on your system. Use the MySQL Workbench or command line to create a new database. For example, you can use the command:
```sql
CREATE DATABASE my_database;
```
Ensure that you have the necessary permissions and access to the MySQL server.

Define the MySQL table structure that matches the columns in your CSV file. Use the MySQL Workbench or the command line to create a table. For example:
```sql
USE my_database;
CREATE TABLE my_table (
id INT AUTO_INCREMENT PRIMARY KEY,
column1 VARCHAR(255),
column2 INT,
...
);
```
Adjust the data types to match those in your CSV file.

Open the MySQL command line or MySQL Workbench. Use the `LOAD DATA INFILE` command to import the CSV file into the MySQL table. For example:
```sql
LOAD DATA LOCAL INFILE '/path/to/your/file.csv'
INTO TABLE my_table
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
IGNORE 1 ROWS;
```
Make sure the file path is correct and accessible by MySQL, and adjust the delimiters as required.

After loading the data, verify the import by running a simple `SELECT` query in MySQL:
```sql
SELECT * FROM my_table LIMIT 10;
```
Check if the data appears correctly and matches the original data from Smartsheet.

For recurring data transfers, consider automating the process using a script. You can write a shell script or a Python script using libraries like `pandas` and `mysql-connector-python` to automate the export, cleaning, and loading steps. Schedule this script using cron jobs on Linux or Task Scheduler on Windows for regular execution.
By following these steps, you can effectively move data from Smartsheet to a MySQL destination without relying on third-party tools.