First, log into your Webflow account and navigate to the project you want to export data from. Use the Webflow Designer to access the CMS Collections. Click on the "Collections" tab and select the collection you wish to export. Click on the "Export" button, typically located at the top right of the Collections panel, to download the data as a CSV file.

Open the exported CSV file using a spreadsheet application like Microsoft Excel or Google Sheets. Review the data for accuracy and completeness. Ensure that all necessary fields are included and that the data types align with your intended MySQL table structure. Make any necessary adjustments or clean the data as needed.

If you haven't already set up a MySQL database, do so by installing MySQL on your server or local machine. Create a new database using the MySQL command line or a GUI tool like phpMyAdmin. Use the `CREATE DATABASE your_database_name;` SQL command to create your database.

Define the structure of your MySQL tables to match the structure of your Webflow data. Use SQL commands to create tables that correspond to the fields in your CSV file. For example:
```sql
CREATE TABLE collection_name (
id INT AUTO_INCREMENT PRIMARY KEY,
field1 VARCHAR(255),
field2 TEXT,
field3 DATE
);
```
Ensure the data types match those in your CSV and consider any necessary constraints or indexes.

Save your CSV file in a location accessible to your MySQL server. Ensure the file is in a format MySQL can read, such as UTF-8 encoded text. If there are issues with line endings or delimiters, adjust them to ensure compatibility with MySQL's `LOAD DATA` command.

Use the MySQL command line or a GUI tool to import your CSV file into the newly created tables. Execute the following command:
```sql
LOAD DATA INFILE '/path/to/your/file.csv'
INTO TABLE collection_name
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
IGNORE 1 ROWS;
```
Ensure the file path is correct and that the MySQL server has read permissions on the file.

After importing the data, verify the integrity and accuracy of the imported data. Run SQL queries to check that all records have been imported and that there are no discrepancies. Example:
```sql
SELECT FROM collection_name LIMIT 10;
```
Compare a sample of the data in MySQL with the original CSV file to ensure consistency. Conduct further data validation checks as necessary to confirm successful data migration.

By following these steps, you can successfully move data from Webflow to MySQL without relying on third-party connectors or integrations.