I deleted my previous question as I couldn't publish the edit, let's hope this does it. So I found two links who seem helpfull: [1stlink][1] [2ndlink][2] Since the question is a litle vague I can only guess that you are using python and MySQL?

import mysql.connector
import pandas as pd

host = 'localhost'  # Replace with your MySQL server's host (e.g., '127.0.0.1')
user = 'your_username'  # Your MySQL username
password = 'your_password'  # Your MySQL password
database = 'your_database'  # MySQL database name

try:
    conn = mysql.connector.connect(
        host=host,
        user=user,
        password=password,
        database=database
    )
    print("Connected to the database successfully!")
    
    # Fetch data
    query = "SELECT * FROM users"  # Replace 'users' with your table name
    db = pd.read_sql_query(query, conn)

    # Convert the data to an Excel file
    db.to_excel('users_data.xlsx', index=False)

    print("Data exported successfully to 'users_data.xlsx'!")
    
except mysql.connector.Error as err:
    print(f"Error: {err}")
    
finally:
    # Close the database connection
    if conn.is_connected():
        conn.close()
        print("MySQL connection closed.")
#If you are running MySQL locally and your MySQL server is configured to allow connections without a password, you can omit the password:

conn = mysql.connector.connect(
    host="localhost",
    user="root",  # Replace the root user with your username
    database="your_database"
)
```


  [1]: https://sqlspreads.com/blog/how-to-export-data-from-sql-server-to-excel/
  [2]: https://blog.n8n.io/export-sql-to-excel/