convert Google Sheets to Excel.py

import os
from Google import Create_Service
import pandas as pd

working_dir = r'<>'
output_dir = os.path.join(working_dir, 'Output')

CLIENT_SECRET_FILE = r"client_secret.json"
API_SERVICE_NAME = 'drive'
API_VERSION = 'v3'
SCOPES = ['https://www.googleapis.com/auth/drive']

service = Create_Service(CLIENT_SECRET_FILE, API_SERVICE_NAME, API_VERSION, SCOPES)
files_service = service.files()

query_body = "mimeType='application/vnd.google-apps.spreadsheet'"
files_retrieved = files_service.list(
    q=query_body,
    pageSize=5
).execute()
df = pd.DataFrame(files_retrieved.get('files'))
next_page_token = files_retrieved.get('nextPageToken')

while next_page_token:
    files_retrieved = files_service.list(
        q=query_body,
        pageToken=next_page_token
    ).execute()
    df = pd.concat([df, pd.DataFrame(files_retrieved.get('files'))])
    next_page_token = files_retrieved.get('nextPageToken')
    print(f'Token: {next_page_token}')

EXCEL_MIME_TYPE = 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'

for i in range(len(df)):
    byteData = files_service.export(
        fileId=df.iloc[i]['id'],
        mimeType=EXCEL_MIME_TYPE
    ).execute()
    
    filename = df.iloc[i]['name']
    print(filename)

    with open(os.path.join(output_dir, filename + '.xlsx'), 'wb') as f:
        f.write(byteData)
        f.close()