Download Gmail Attachments to Google Drive with Python (and Gmail API + Drive API)

Download Gmail Attachments to Google Drive with Python (and Gmail API + Drive API)

In this tutorial, I will be teaching you how to Save Gmail Email Attachments to Google Drive in Python.

In this tutorial, I will be teaching you how to Save Gmail Email Attachments to Google Drive in Python.

This is a highly requested video, and I am glad I finally have the time to record and process the lesson. And by the way, this is a pretty advanced topic because we will be dealing with many moving pieces. You don’t need to be an expert in Python, but medium level of proficiency is extremely helpful.

Timestamps: 00:00 - Intro & Demo 02:16 - Importing modules 02:55 - Create construct_service function (function to construct Google Service API instance) 06:00 - Create search_email function (function to search email message in Gmail) 11:17 - Create get_message_detail function (function get email message detail) 13:13 - Create create_folder_in_drive function (function to create Google Drive folder) 15:16 - Construct Gmail API Service instance and Drive API Service instance 18:38 - Search Emails With Attachments 20:11 - Download emails attachments and create Drive folders to group attachments by email

Google.py Source Code:


import pickle
import datetime
import os
from google_auth_oauthlib.flow import Flow, InstalledAppFlow
from googleapiclient.discovery import build
from googleapiclient.http import MediaFileUpload
from google.auth.transport.requests import Request

def Create_Service(client_secret_file, api_name, api_version, *scopes):
    print(client_secret_file, api_name, api_version, scopes, sep='-')
    CLIENT_SECRET_FILE = client_secret_file
    API_SERVICE_NAME = api_name
    API_VERSION = api_version
    SCOPES = [scope for scope in scopes[0]]
    print(SCOPES)

    cred = None

    pickle_file = f'token_{API_SERVICE_NAME}_{API_VERSION}.pickle'
    # print(pickle_file)

    if os.path.exists(pickle_file):
        with open(pickle_file, 'rb') as token:
            cred = pickle.load(token)

    if not cred or not cred.valid:
        if cred and cred.expired and cred.refresh_token:
            cred.refresh(Request())
        else:
            flow = InstalledAppFlow.from_client_secrets_file(CLIENT_SECRET_FILE, SCOPES)
            cred = flow.run_local_server()

        with open(pickle_file, 'wb') as token:
            pickle.dump(cred, token)

    try:
        service = build(API_SERVICE_NAME, API_VERSION, credentials=cred)
        print(API_SERVICE_NAME, 'service created successfully')
        return service
    except Exception as e:
        print(e)
        return None


def convert_to_RFC_datetime(year=1900, month=1, day=1, hour=0, minute=0):
    dt = datetime.datetime(year, month, day, hour, minute, 0).isoformat() + 'Z'
    return dt

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