djspreadsheet.py

import pandas as pd
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow, Flow
from google.auth.transport.requests import Request
import os
import pickle

SCOPES = ['https://www.googleapis.com/auth/spreadsheets']

# here enter the id of your google sheet
SAMPLE_SPREADSHEET_ID_input = '1FYdD43eZ8xzKlreqK8tygNljxglzlbg5Zp2imvbvtd0'
SAMPLE_RANGE_NAME = 'A1:AA1000'


def get_data():
    global values_input, service
    creds = None
    if os.path.exists('token.pickle'):
        with open('token.pickle', 'rb') as token:
            creds = pickle.load(token)
    if not creds or not creds.valid:
        if creds and creds.expired and creds.refresh_token:
            creds.refresh(Request())
        else:
            flow = InstalledAppFlow.from_client_secrets_file(
                'client_secret_722838719056-j20ouvfmh6ojareojo0s9jd04agnql16.apps.googleusercontent.com.json', SCOPES)  # here enter the name of your downloaded JSON file
            creds = flow.run_local_server(port=0)
        with open('token.pickle', 'wb') as token:
            pickle.dump(creds, token)

    service = build('sheets', 'v4', credentials=creds)

    # Call the Sheets API
    sheet = service.spreadsheets()
    result_input = sheet.values().get(spreadsheetId=SAMPLE_SPREADSHEET_ID_input,
                                      range=SAMPLE_RANGE_NAME).execute()
    values_input = result_input.get('values', [])

    if not values_input and not values_expansion:
        print('No data found.')

    df = pd.DataFrame(values_input[1:], columns=values_input[0])

    return df

get_data()