Google Sheets Connector for Python Read / write Google Sheets data inside your app, perform many Google Sheets operations without coding using easy to use high performance API Connector for Google Sheets In this article you will learn how to quickly and efficiently integrate Google Sheets data in Python. We will use high-performance Google Sheets Connector to easily connect to Google Sheets and then access the data inside Python. Let's follow the steps below to see how we can accomplish that! Download Documentation Google Sheets Connector for Python is based on ZappySys API Driver which is part of ODBC PowerPack. It is a collection of high-performance ODBC drivers that enable you to integrate data in SQL Server, SSIS, a programming language, or any other ODBC-compatible application. ODBC PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few.

Connect to Google Sheets in other apps Connect to Google Sheets in SSIS Connect to Google Sheets in SQL Server Connect to Google Sheets in Power BI Connect to Google Sheets in SSRS Connect to Google Sheets in Informatica Connect to Google Sheets in MS Access Connect to Google Sheets in MS Excel Connect to Google Sheets in SSAS Connect to Google Sheets in C# Connect to Google Sheets in JAVA Connect to Google Sheets in Tableau Connect to Google Sheets in SAP Crystal Reports Connect to Google Sheets in Azure Data Factory (Pipeline) Connect to Google Sheets in Azure Data Factory (SSIS) Connect to Google Sheets in Talend Studio Connect to Google Sheets in UiPath Connect to Google Sheets in PowerShell Connect to Google Sheets in ODBC

Create ODBC Data Source (DSN) based on ZappySys API Driver

Step-by-step instructions

To get data from Google Sheets using Python we first need to create a DSN (Data Source) which will access data from Google Sheets. We will later be able to read data using Python. Perform these steps:

1. Download and install ODBC PowerPack.

2. Open ODBC Data Sources (x64):

   

3. Create a User data source (User DSN) based on ZappySys API Driver

   ZappySys API Driver

   
   • Create and use User DSN if the client application is run under a User Account. This is an ideal option in design-time, when developing a solution, e.g. in Visual Studio 2019. Use it for both type of applications - 64-bit and 32-bit.
   • Create and use System DSN if the client application is launched under a System Account, e.g. as a Windows Service. Usually, this is an ideal option to use in a production environment. Use ODBC Data Source Administrator (32-bit), instead of 64-bit version, if Windows Service is a 32-bit application.

4. When the Configuration window appears give your data source a name if you haven't done that already, then select "Google Sheets" from the list of Popular Connectors. If "Google Sheets" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:

   GoogleSheetsDSN

   Google Sheets

   

5. Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.

    User Account [OAuth]

   User accounts represent a developer, administrator, or any other person who interacts with Google APIs and services. User accounts are managed as Google Accounts, either with Google Workspace or Cloud Identity. They can also be user accounts that are managed by a third-party identity provider and federated with Workforce Identity Federation. [API reference]

   Steps how to get and use Google Sheets credentials
   

   Follow these steps on how to create Client Credentials (User Account principle) to authenticate and access Google Sheets API in SSIS package or ODBC data source:

   WARNING: If you are planning to automate processes, we recommend that you use a Service Account authentication method. In case, you still need to use User Account, then make sure you use a system/generic account (e.g. automation@my-company.com). When you use a personal account which is tied to a specific employee profile and that employee leaves the company, the token may become invalid and any automated processes using that token will start to fail.

   Step-1: Create project

   This step is optional, if you already have a project in Google Cloud and can use it. However, if you don't, proceed with these simple steps to create one:

   1. First of all, go to Google API Console.

   2. Then click Select a project button and then click NEW PROJECT button:

      

   3. Name your project and click CREATE button:

      

   4. Wait until the project is created:

      
   5. Done! Let's proceed to the next step.

   Step-2: Enable Google Cloud APIs

   In this step we will enable Google Sheets API and Google Drive API:

   1. Select your project on the top bar:

      

   2. Then click the "hamburger" icon on the top left and access APIs & Services:

      

   3. Now let's enable several APIs by clicking ENABLE APIS AND SERVICES button:

      

   4. In the search bar search for sheets and then locate and select Google Sheets API:

      

   5. Then enable Google Sheets API:

      

   6. Again, repeat the step and enable Google Drive API as well:

      
   7. Done! Let's proceed to the next step.

   Step-3: Create OAuth application

   1. First of all, click the "hamburger" icon on the top left and then hit VIEW ALL PRODUCTS:

      

   2. Then access Google Auth Platform to start creating an OAuth application:

      

   3. Start by pressing GET STARTED button:

      

   4. Next, continue by filling in App name and User support email fields:

      

   5. Choose Internal option, if it's enabled, otherwise select External:

      

   6. Optional step if you used Internal option in the previous step. Nevertheless, if you had to use External option, then click ADD USERS to add a user:

      

   7. Then add your contact Email address:

      

   8. Finally, check the checkbox and click CREATE button:

      
   9. Done! Let's create Client Credentials in the next step.

   Step-4: Create Client Credentials

   1. In Google Auth Platform, select Clients menu item and click CREATE CLIENT button:

      

   2. Choose Desktop app as Application type and name your credentials:

      

   3. Continue by opening the created credentials:

      

   4. Finally, copy Client ID and Client secret for the later step:

      
   5. Done! We have all the data needed for authentication, let's proceed to the last step!

   Step-5: Configure connection

   1. Now go to SSIS package or ODBC data source and use previously copied values in User Account authentication configuration:

      • In the ClientId field paste the Client ID value.
      • In the ClientSecret field paste the Client secret value.

   2. Press Generate Token button to generate Access and Refresh Tokens.

   3. Open your Google Sheets spreadsheet in the browser, e.g.: https://docs.google.com/spreadsheets/d/1QM6WmGloHeGCliCqV3nEj8P-R1RbS59t5xJutN99rU/edit.

   4. Extract the spreadsheet Id from the URL and copy it to the clipboard, e.g. 1QM6WmGloHeGCliCqV3nEj8P-R1RbS59t5xJutN99rU.

   5. Go back to authentication configuration window and paste it into Default SpreadsheetId field.

   6. Finally, click Test Connection to confirm the connection is working.

   7. Done! Now you are ready to use Google Sheets Connector!

   Fill in all required parameters and set optional parameters if needed:

   GoogleSheetsDSN

   Google Sheets

   User Account [OAuth]

   https://sheets.googleapis.com/v4/spreadsheets

   Required Parameters
   UseCustomApp	Fill-in the parameter...
   Scope	Fill-in the parameter...
   Default SpreadSheetId	Fill-in the parameter...
   Optional Parameters
   ClientId
   ClientSecret
   Default Tab Name (i.e. Sheet1)
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	403|429
   RetryCountMax	5
   Redirect URL (Only for Web App)

   

    Service Account [OAuth]

   Service accounts are accounts that do not represent a human user. They provide a way to manage authentication and authorization when a human is not directly involved, such as when an application needs to access Google Cloud resources. Service accounts are managed by IAM. [API reference]

   Steps how to get and use Google Sheets credentials
   

   Follow these steps on how to create Service Account to authenticate and access Google Sheets API in SSIS package or ODBC data source:

   Step-1: Create project

   This step is optional, if you already have a project in Google Cloud and can use it. However, if you don't, proceed with these simple steps to create one:

   1. First of all, go to Google API Console.

   2. Then click Select a project button and then click NEW PROJECT button:

      

   3. Name your project and click CREATE button:

      

   4. Wait until the project is created:

      
   5. Done! Let's proceed to the next step.

   Step-2: Enable Google Cloud APIs

   In this step we will enable Google Sheets API and Google Drive API:

   1. Select your project on the top bar:

      

   2. Then click the "hamburger" icon on the top left and access APIs & Services:

      

   3. Now let's enable several APIs by clicking ENABLE APIS AND SERVICES button:

      

   4. In the search bar search for sheets and then locate and select Google Sheets API:

      

   5. Then enable Google Sheets API:

      

   6. Again, repeat the step and enable Google Drive API as well:

      
   7. Done! Let's proceed to the next step.

   Step-3: Create Service Account

   Use the steps below to create a Service Account in Google Cloud:

   1. First of all, go to IAM & Admin in Google Cloud console:

      

   2. Once you do that, click Service Accounts on the left side and click CREATE SERVICE ACCOUNT button:

      

   3. Then name your service account and click CREATE AND CONTINUE button:

      

   4. Continue by clicking Select a role dropdown and start granting service account Project Viewer roles:

      

   5. Find Project group and select Viewer role:

      

   6. Finish adding roles by clicking CONTINUE button:

      
      You can always add or modify permissions later in IAM & Admin.

   7. Finally, in the last step, just click button DONE:

      

   8. Done! We are ready to add a Key to this service account in the next step.

   Step-4: Add Key to Service Account

   We are ready to add a Key (JSON or P12 key file) to the created Service Account:

   1. In Service Accounts open newly created service account:

      

   2. Next, copy email address of your service account for the later step:

      

   3. Continue by selecting KEYS tab, then press ADD KEY dropdown, and click Create new key menu item:

      

   4. Finally, select JSON (Engine v19+) or P12 option and hit CREATE button:

      
   5. Key file downloads into your machine. We have all the data needed for authentication, let's proceed to the last step!

   Step-5: Configure connection

   1. Now go to SSIS package or ODBC data source and use previously copied values in User Account authentication configuration:

      • In the Service Account Email field paste the service account Email address value you copied in the previous step.
      • In the Service Account Private Key Path (i.e. *.json OR *.p12) field use downloaded certificate's file path.

   2. Press Generate Token button to generate Access and Refresh Tokens.

   3. Open your Google Sheets spreadsheet in the browser, e.g.: https://docs.google.com/spreadsheets/d/1QM6WmGloHeGCliCqV3nEj8P-R1RbS59t5xJutN99rU/edit.

   4. Extract the spreadsheet Id from the URL and copy it to the clipboard, e.g. 1QM6WmGloHeGCliCqV3nEj8P-R1RbS59t5xJutN99rU.

   5. Go back to authentication configuration window and paste it into Default SpreadsheetId field.

   6. Finally, click Test Connection to confirm the connection is working.

   7. Done! Now you are ready to use Google Sheets Connector!

   Fill in all required parameters and set optional parameters if needed:

   GoogleSheetsDSN

   Google Sheets

   Service Account [OAuth]

   https://sheets.googleapis.com/v4/spreadsheets

   Required Parameters
   Service Account Email	Fill-in the parameter...
   Service Account Private Key Path (i.e. *.json OR *.p12)	Fill-in the parameter...
   Default SpreadSheetId	Fill-in the parameter...
   Optional Parameters
   Scope	https://www.googleapis.com/auth/drive https://www.googleapis.com/auth/spreadsheets
   Default Tab Name (i.e. Sheet1)
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	403|429
   RetryCountMax	5
   Impersonate As (Enter Email Id)

   

6. Once the data source connection has been configured, it's time to configure the SQL query. Select the Preview tab and then click Query Builder button to configure the SQL query:

   

   ZappySys API Driver - Google Sheets

   Read / write Google Sheets data inside your app, perform many Google Sheets operations without coding using easy to use high performance API Connector for Google Sheets

   GoogleSheetsDSN

   

7. Start by selecting the Table or Endpoint you are interested in and then configure the parameters. This will generate a query that we will use in Python to retrieve data from Google Sheets. Hit OK button to use this query in the next step.

   SELECT * FROM [Sheet1]

   
   Some parameters configured in this window will be passed to the Google Sheets API, e.g. filtering parameters. It means that filtering will be done on the server side (instead of the client side), enabling you to get only the meaningful data much faster.

8. Now hit Preview Data button to preview the data using the generated SQL query. If you are satisfied with the result, use this query in Python:

   

   ZappySys API Driver - Google Sheets

   Read / write Google Sheets data inside your app, perform many Google Sheets operations without coding using easy to use high performance API Connector for Google Sheets

   GoogleSheetsDSN

   SELECT * FROM [Sheet1]

   
   You can also access data quickly from the tables dropdown by selecting <Select table>.
   A WHERE clause, LIMIT keyword will be performed on the client side, meaning that the whole result set will be retrieved from the Google Sheets API first, and only then the filtering will be applied to the data. If possible, it is recommended to use parameters in Query Builder to filter the data on the server side (in Google Sheets servers).

9. Click OK to finish creating the data source.

Video Tutorial

Read data in Python

Using ODBC DSN

1. Python code to get the data:
   

   GoogleSheetsDSN')

   

2. When you run the code it will make the API call and read the data:
   

3. Here is Python program's code in text format:

   
       import pyodbc
       conn = pyodbc.connect('DSN=GoogleSheetsDSN')
   
       cursor = conn.cursor()
   
       #execute query to fetch data from API service
       cursor.execute("SELECT id,title FROM products")
   
       row = cursor.fetchone()
       while row:
           print(row)
           row = cursor.fetchone()
   
       ##For loop example
       #for row in cursor:
       #    print(row)
   

Using a full ODBC connection string

If you want to avoid being dependent on a DSN and creating multiple DSNs for each platform (x86, x64), then you can use a fully qualified connection string. Simply go to your DSN and copy the Connection String:

1. Open ODBC data source configuration and click Copy settings:
   

   ZappySys API Driver - Google Sheets

   Read / write Google Sheets data inside your app, perform many Google Sheets operations without coding using easy to use high performance API Connector for Google Sheets

   GoogleSheetsDSN

   
2. The window opens, telling us the connection string was successfully copied to the clipboard:

3. Then in your Python code use Connection String when initializing OdbcConnection object, for example:

   conn = pyodbc.connect('DRIVER={ZappySys API Driver};ServiceUrl=https://yourservices.provider.com/api/xxxx....;AuthName=Http;')

How to install `pyodbc` in the Python?

Advanced topics

Create Custom Stored Procedure in ZappySys Driver

You can create procedures to encapsulate custom logic and then only pass handful parameters rather than long SQL to execute your API call.

Steps to create Custom Stored Procedure in ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here

1. Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
   

2. Enter the desired Procedure name and click on OK:
   

3. Select the created Stored Procedure and write the your desired stored procedure and Save it and it will create the custom stored procedure in the ZappySys Driver:
   Here is an example stored procedure for ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here
   

   CREATE PROCEDURE [usp_get_orders]
       @fromdate = '<<yyyy-MM-dd,FUN_TODAY>>'
    AS
       SELECT * FROM Orders where OrderDate >= '<@fromdate>';
   

   
   

4. That's it now go to Preview Tab and Execute your Stored Procedure using Exec Command. In this example it will extract the orders from the date 1996-01-01:
   

   Exec usp_get_orders '1996-01-01';

   
   

5. Let's generate the SQL Server Query Code to make the API call using stored procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
   As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.
   

   SELECT * FROM OPENQUERY([LS_TO_GOOGLE_SHEETS_IN_GATEWAY], 'EXEC usp_get_orders @fromdate=''1996-07-30''')

   
   

6. Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
   

Create Custom Virtual Table in ZappySys Driver

ZappySys API Drivers support flexible Query language so you can override Default Properties you configured on Data Source such as URL, Body. This way you don't have to create multiple Data Sources if you like to read data from multiple EndPoints. However not every application support supplying custom SQL to driver so you can only select Table from list returned from driver.

If you're dealing with Microsoft Access and need to import data from an SQL query, it's important to note that Access doesn't allow direct import of SQL queries. Instead, you can create custom objects (Virtual Tables) to handle the import process.

Many applications like MS Access, Informatica Designer wont give you option to specify custom SQL when you import Objects. In such case Virtual Table is very useful. You can create many Virtual Tables on the same Data Source (e.g. If you have 50 URLs with slight variations you can create virtual tables with just URL as Parameter setting.

1. Go to Custom Objects Tab and Click on Add button and Select Add Table:
   

2. Enter the desired Table name and click on OK:
   

3. And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.

4. Select the created table, Select Text Type AS SQL and write the your desired SQL Query and Save it and it will create the custom table in the ZappySys Driver:
   Here is an example SQL query for ZappySys Driver. You can insert Placeholders also. Read more about placeholders here
   

   SELECT
     "ShipCountry",
     "OrderID",
     "CustomerID",
     "EmployeeID",
     "OrderDate",
     "RequiredDate",
     "ShippedDate",
     "ShipVia",
     "Freight",
     "ShipName",
     "ShipAddress",
     "ShipCity",
     "ShipRegion",
     "ShipPostalCode"
   FROM "Orders"
   Where "ShipCountry"='USA'

   
   

5. That's it now go to Preview Tab and Execute your custom virtual table query. In this example it will extract the orders for the USA Shipping Country only:
   

   SELECT * FROM "vt__usa_orders_only"

   
   

6. Let's generate the SQL Server Query Code to make the API call using stored procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
   As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.
   

   SELECT * FROM OPENQUERY([LS_TO_GOOGLE_SHEETS_IN_GATEWAY], 'EXEC [usp_get_orders] ''1996-01-01''')

   
   

7. Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
   

Actions supported by Google Sheets Connector

Google Sheets Connector Examples for Python Connection

This page offers a collection of SQL examples designed for seamless integration with the ZappySys API ODBC Driver under ODBC Data Source (36/64) or ZappySys Data Gateway, enhancing your ability to connect and interact with Prebuilt Connectors effectively.

SELECT * FROM [Sheet1]

SELECT * FROM [Class Data] WITH(SpreadSheetId='1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms')

SELECT * FROM [Class Data]
WITH(
	  Range='A4:GR'  --cell range you like to query
	, ArrayTransEnableCustomColumns='False' --do not treat first row in range as Column Names
	, SpreadSheetId='1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms'  --enter sheet id you like to query. Comment this if you like to use default ID defined in the connection
)

UPDATE [Sheet1]
SET Col1='data-1', Col2=100, Col3='2020-01-31' --column names are ignored. Values are sent in the same order you supply and writtern to start cell specified by WriteRange
WITH(
	, WriteRange='G9' --start writing from here
	, SpreadSheetId='1az2H8ZYk7BvjddVTqPR-LfDjX9IRpIpjCDpFPe9EzkU' --comment this to use default Sheet Id from connection setting
)

UPDATE [Sheet1]
SOURCE(
 'ODBC',  --driver type ODBC | MSSQL | OLEDB
 'Driver={ZappySys CSV Driver};', --connection string for driver
 'SELECT * FROM $ WITH (SRC=''c:\data.csv'') ' --sql query for source data
)
WITH(
  WriteRange='G9', SpreadSheetId='1az2H8ZYk7BvjddVTqPR-LfDjX9IRpIpjCDpFPe9EzkU' --comment this to use default Sheet Id from connection setting 
)

UPDATE [Sheet1]
SET Col1='Jan',Col2='Feb',Col3='Mar'
WITH(
  WriteRange='G9', 
  SpreadSheetId='1az2H8ZYk7BvjddVTqPR-LfDjX9IRpIpjCDpFPe9EzkU', --comment this to use default Sheet Id from connection setting
  MajorDimension='COLUMNS' --write values vertical rather horizontal
)

INSERT INTO "Sheet1"("MyStringCol", "MyIntegerCol", "MyDateCol", "MyDecimalCol") VALUES('AAA',100,'2020-01-01',150.33)

INSERT INTO [Sheet1]
SOURCE(
 'ODBC', --driver type ODBC | MSSQL | OLEDB
 'Driver={ZappySys CSV Driver};', --connection string for driver
 'SELECT * FROM $ WITH (SRC=''c:\temp\dump.txt'') ' --sql query for source data
)
WITH(
  Range='G9', SpreadSheetId='1az2H8ZYk7BvjddVTqPR-LfDjX9IRpIpjCDpFPe9EzkU' --comment this to use default Sheet Id from connection setting 
)

INSERT INTO [Sheet1](Col1,Col2,Col3) 
VALUES('Jan','Feb','Mar')
WITH(
  Range='G9', --starting cell to write data
  SpreadSheetId='1az2H8ZYk7BvjddVTqPR-LfDjX9IRpIpjCDpFPe9EzkU', --comment this to use default Sheet Id from connection setting
  MajorDimension='COLUMNS' --write values vertical rather horizontal
)

SELECT * FROM batch_update_request
WITH(
	  Body='{
  "requests": [
    {
      "deleteDimension": {
        "range": {
          "sheetId": 0,
          "dimension": "ROWS",
          "startIndex": 10,
          "endIndex": 20
        }
      }
    } ,
    
   {
      "deleteDimension": {
        "range": {
          "sheetId": 0,
          "dimension": "ROWS",
          "startIndex": 50,
          "endIndex": 60
        }
      }
    }
    
  ]
}'
	, TabId='0' -- tab internal id (use UI to get this). 0 means first tab. Or check URL in browser and see at the end of URL #gid=xxxxxxx where xxxxxx is your tab id
	, SpreadSheetId='1az2H8ZYk7BvjddVTqPR-LfDjX9IRpIpjCDpFPe9EzkU' --comment this to use default Sheet Id from connection setting
)

Conclusion

In this article we showed you how to connect to Google Sheets in Python and integrate data without any coding, saving you time and effort. It's worth noting that ZappySys API Driver allows you to connect not only to Google Sheets, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).

We encourage you to download Google Sheets Connector for Python and see how easy it is to use it for yourself or your team.

If you have any questions, feel free to contact ZappySys support team. You can also open a live chat immediately by clicking on the chat icon below.

Download Google Sheets Connector for Python Documentation

More integrations

Other connectors for Python

Amazon Ads

Amazon Athena

Amazon Selling Partner (SP-API)

Apache Derby

Apache Hive

Apache Spark

Asana

Azure DevOps

Cosmos DB

DropBox

ElasticSearch

FastSpring

Google Ads

Google BigQuery

Google Calendar

Google Drive

Hubspot

Infor Data Lake

Jira

Mailchimp

ManagedEngine ServiceDesk Plus (Zoho)

MariaDB

OData

OneDrive

Outlook Mail (Office 365)

Power BI

ServiceNow

SharePoint Online

Shopify

Smartsheet

Starburst

Stripe

Trino

YouTube

Zendesk

Zoho CRM

Zoho SalesIQ

Zoom

REST API

JSON

JSON File

XML

SOAP

XML File

JDBC-ODBC Bridge

Salesforce

CSV

Amazon S3 JSON File

Amazon S3 XML File

Amazon S3 CSV File

Azure Blob JSON File

Azure Blob XML File

Azure Blob CSV File

FTP/SFTP JSON File

FTP/SFTP XML File

FTP/SFTP CSV File

Build your own Custom API Connector

Other application integration scenarios for Google Sheets

SSIS

SQL Server

Power BI

SSRS

Informatica

MS Access

MS Excel

SSAS

C#

JAVA

Tableau

SAP Crystal Reports

Azure Data Factory (Pipeline)

Azure Data Factory (SSIS)

Talend Studio

UiPath

PowerShell

ODBC

Common Searches: