#GOOGLE SHEETS LOGIN HOW TO#
#GOOGLE SHEETS LOGIN CODE#
#GOOGLE SHEETS LOGIN DOWNLOAD#

Import gspread # connect got Google Sheets gspread_client = gspread.

I will use Python code that is generated with MLJAR Studio notebook:

It should start download of your JSON file with credentials.Ĭongratulations! The JSON file is ready to use in your Python scripts.

Please select JSON (should be the default) and click CREATE. You will see a dialog where you can select the key format. In the KEYS view, just click ADD KEY and Create new key: Click DONE button.Īfter creating the Service Account you will see a view with your credentials. You can set more restrictive role if needed. In this example, I set the role to Owner. In the next step, set access to the project. Please fill the Service account name and click CREATE AND CONTINE. In the case of stolen credentials, we simply remove the credentials or even a whole project. We have an option to set a granular access to the resources that we want to share with our script. Such solution is good and safe in my opinion. We will share selected Spreadsheets with that email. Google Cloud will create a new email associated with Service Account. Service Account option will create a new account that we will use only to access Google Sheets API. You will have a menu displayed with several options. The other option for credentials creation is to go to the project dashboard and click CREATE CREDENTIALS button there: You can click there CREATE CREDENTIALS button. Like before, please enable it with ENABLE button:Īfter enabling both (Drive and Sheets) APIs you will have the view like in the image below. Please enter Google Sheets API in the search box: Please click on APIs & Service in the left menu. When you found it, just click ENABLE button:Īfter API is enabled, you will see the below view. Changes made on Sheets are also changes on files in the Google Drive. Why do we need to give additional access to Google Drive API? It’s because Google Sheets are stored in Google Drive. In the next step, we will need to enable access to APIs for our project.

Please click ENABLE APIS AND SERVICES button to add access to selected APIs. You can leave Location field empty.Īfter Project creation, you should see view like in the image below.

In this example, I’ve used mljar-sheets-project as a name. The form for project creation will be displayed. If you already have some projects in your console, please click on project in the top menu bar, and you will have dialog window with NEW PROJECT button. If it is your first project then you will see the view similar like in the image below: In my opinion, it is good to have a separate project for accessing a Sheets, because in the case of emergency it is easy to revoke the access. It will store all details about our connection to Google Sheets API. In this example, we will create a new project. Please open your Google Cloud console in your web browser. The schema showing the concept of how does it work.

Enable Google Drive API and Google Sheets API.

It can be summarized with the following steps. StepsĬreating JSON file with credentials to access Google Sheets API is fast and easy.

We will show you how to get JSON file with credentials to access Google Sheets. There are several options to authenticate to Google API, one of them is Service Account. When you need to access Google Sheets data from Python script you will need to prove that you have access to the resource.

#GOOGLE SHEETS LOGIN CODE#

#GOOGLE SHEETS LOGIN DOWNLOAD#

#GOOGLE SHEETS LOGIN HOW TO#

Google sheets login