Google Drive Connector for Python In this article you will learn how to integrate Google Drive data in Python (live / bi-directional connection to Google Drive). Read / write Google Drive data inside your app; perform many Google Drive operations without coding, just using easy to use high performance API Connector for Google Drive. Using Google Drive Connector you will be able to connect, read, and write data from within Python. Follow the steps below to see how we would accomplish that. Download Documentation The driver mentioned above is part of ODBC PowerPack which is a collection of high-performance Drivers for various API data source (i.e. REST API, JSON, XML, CSV, Amazon S3 and many more). Using familiar SQL query language you can make live connections and read/write data from API sources or JSON / XML / CSV Files inside SQL Server (T-SQL) or your favorite Reporting (i.e. Power BI, Tableau, Qlik, SSRS, MicroStrategy, Excel, MS Access), ETL Tools (i.e. Informatica, Talend, Pentaho, SSIS). You can also call our drivers from programming languages such as JAVA, C#, Python, PowerShell etc. If you are new to ODBC and ZappySys ODBC PowerPack then check the following links to get started. ODBC PowerPack - System Requirements and Installation Getting Started - Using ODBC PowerPack ODBC API Driver Help File

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

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

Step-by-step instructions

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

1. Install ZappySys ODBC PowerPack.

2. Open ODBC Data Sources (x64):
   

3. Create a User Data Source (User DSN) based on ZappySys API Driver

   ZappySys API Driver

   
   You should create a System DSN (instead of a User DSN) if the client application is launched under a Windows System Account, e.g. as a Windows Service. If the client application is 32-bit (x86) running with a System DSN, use ODBC Data Sources (32-bit) instead of the 64-bit version.

4. When the Configuration window appears give your data source a name if you haven't done that already, then select "Google Drive" from the list of Popular Connectors. If "Google Drive" 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:

   GoogleDriveDSN

   Google Drive

   

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]

   Steps to get Google Drive Credentials
   

   To make this work you will have to create an OAuth application. To register an App, perform the following steps (Detailed steps found in the help link at the end):

   1. Go to Google API Console
   2. From the Project Dropdown (usually found at the top bar) click Select Project
   3. On Project Propup click CREATE PROJECT
   4. Once project is created you can click Select Project to switch the context (You can click on Notification link or Choose from Top Dropdown)
   5. Click ENABLE APIS AND SERVICES
   6. Now we need to enable Google Drive API.
   7. Search Google Drive API. Select and click ENABLE
   8. Go to back to main screen of Google API Console
   9. Click OAuth Concent Screen Tab. Enter necessary details and Save.
   10. Click Credentials Tab
   11. Click CREATE CREDENTIALS (some where in topbar) and select OAuth Client ID option.
   12. When prompted Select Application Type as Desktop App and click Create to receive your ClientID and Secret. Later on you can use this information now to configure Connection with UseCustomApp=true.
       NOTE: If you are planning to use your current data connection/token for automated processes, we recommend that you use a generic account for token generation when the login box appears (e.g. sales_automation@mycompany.com instead of bob_smith@mycompany.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 fail. Another potentially unwanted effect of using a personal token is incorrect logging; the API calls (e.g. Read, Edit, Delete, Upload) made with that token will record the specific user as performing the calls instead of an automated process.
   13. Go to OAuth Consent Screen tab. Under Publishing Status click PUBLISH APP to ensure your refresh token doesnt expire often. If you planning to use App for Private use then do not have to worry about Verification Status after Publish.

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

   GoogleDriveDSN

   Google Drive

   User Account [OAuth]

   https://www.googleapis.com/

   Required Parameters
   UseCustomApp	Fill in the parameter...
   Optional Parameters
   ClientId	Fill in the parameter...
   ClientSecret	Fill in the parameter...
   Scope	Fill in the parameter...
   RetryMode	Fill in the parameter...
   RetryStatusCodeList	Fill in the parameter...
   RetryCountMax	Fill in the parameter...
   RetryMultiplyWaitTime	Fill in the parameter...
   Redirect URL (Only for Web App)	Fill in the parameter...

   

    Service Account (Using Private Key File) [OAuth]

   Steps to get Google Drive Credentials
   Use these steps to authenticate as service account rather than Google / GSuite User. Learn more about service account here

   Basically to call Google API as Service account we need to perform following steps listed in 3 sections (Detailed steps found in the help link at the end)

   Create Project

   First thing is create a Project so we can call Google API. Skip this section if you already have Project (Go to next section)

   1. Go to Google API Console
   2. From the Project Dropdown (usually found at the top bar) click Select Project
   3. On Project Propup click CREATE PROJECT
   4. Once project is created you can click Select Project to switch the context (You can click on Notification link or Choose from Top Dropdown)
   5. Click ENABLE APIS AND SERVICES
   6. Now we need to Enable two APIs one by one (Drive API).
   7. Search Drive. Select and click ENABLE

   Create Service Account

   Once Project is created and APIs are enabled we can now create a service account under that project. Service account has its ID which looks like some email ID (not to confuse with Google /Gmail email ID)

   1. Go to Create Service Account
   2. From the Project Dropdown (usually found at the top bar) click Select Project
   3. Enter Service account name and Service account description
   4. For Role, do not select anything for now and Click Continue and then click Done. Next we will create Key.

   Create Key

   Once service account is created we need to create key file (i.e. credentials).

   1. In the Cloud Console, click the email address for the service account that you created.
   2. Click Keys.
   3. Click Add key, then click Create new key.
   4. Click Create and select P12 format. A P12 key file is downloaded to your computer. We will use this file in our API connection.
   5. Click Close.
   6. Now you may use downloaded *.p12 key file as secret file and Service Account Email as Client ID (e.g. some-service-account-name@your-project-id.iam.gserviceaccount.com ).

   Add Permission

   Now last thing is give read/write permission to Service Account. Basically you can create or open Google Sheet and add the Service Account as an editor to it as below.

   1. Copy the email address of your service account we created in previous step (its usually like this some-service-account-name@your-project-id.iam.gserviceaccount.com).
   2. Create or select an existing Google Docs File.
   3. Navigate to Google Docs File for which you like to give read/write access to Service Account.
   4. Click on the Share button in the top right, and add the email address of the service account as an editor. Here is how to share file(s) with specific people. Juse share with Service Account (use Service Account Email found on previous section)

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

   GoogleDriveDSN

   Google Drive

   Service Account (Using Private Key File) [OAuth]

   https://www.googleapis.com/

   Required Parameters
   Service Account Email	Fill in the parameter...
   Service Account Private Key Path (i.e. *.p12)	Fill in the parameter...
   Optional Parameters
   Scope	Fill in the parameter...
   RetryMode	Fill in the parameter...
   RetryStatusCodeList	Fill in the parameter...
   RetryCountMax	Fill in the parameter...
   RetryMultiplyWaitTime	Fill in the parameter...

   

6. Once the data source has been configured, you can preview data. Select the Preview tab and use settings similar to the following to preview data:
   

7. Click OK to finish creating the data source.

Video instructions

Read data in Python

Using ODBC DSN

1. Python code to get the data:
   

   GoogleDriveDSN')

   

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=GoogleDriveDSN')
   
       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 Drive

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

   GoogleDriveDSN

   
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([MY_API_SERVICE], '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([MY_API_SERVICE], '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 Drive Connector

Google Drive 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 Drive

SELECT * FROM SharedDrives --WITH(Query='name = "HR"')

SELECT * FROM SharedDrives WITH(Query='name = "HR"')

SELECT * FROM Files
WITH(
	--Query='name  contains "ZappySys*.*"', --includes files where name contains "zappysys" word
)

SELECT * FROM Files
WITH(
	--Query='name  contains "ZappySys*.*"', --includes files where name contains "zappysys" word
	DriveId='0AFWIggplk2z6Uk9PVA', 
	DriveType='drive',
	SupportsAllDrives='true',
	IncludeItemsFromAllDrives='true'
)

SELECT * FROM Files
WITH(
	--Query='name  contains "ZappySys*.*"', --includes files where name contains "zappysys" word
	DriveType='allDrives',
	SupportsAllDrives='true',
	IncludeItemsFromAllDrives='true'
)

SELECT * FROM download_file
  WITH(Id='1PpE2eSi5faAnMwiSolwr34zA5MwOdR3D'	
      ,ResponseDataFile='C:\MyFiles\myfile.ext'
  )
  --You can get file Id by selecting from 'list_files' endpoint

SELECT * FROM download_file
WITH(
	  DriveType='drive' --or set 'user' for mydrive 
	, DriveId='0AFWIggplk2z6Uk9PVA'
	, Id='1hk7odj2Y2--yxN9DY0zW88hSnxqiyHq0' --file id
	, ResponseDataFile='c:\temp\dump.zip'
	--You can get file Id by selecting from 'list_files' endpoint
)

SELECT *
FROM upload_file
WITH(
	  DriveId='0AC00HWQH144cUk9PVA' --team drive id (keep blank for uploading to my drive)
	, DiskFilePath='C:\temp\dump.csv' --source file path
	, FileName='dump.csv' --target file name
	, ParentFolderId='1PRySfNNjWIp9ZAnhPh-u9tKRj3QOETSq'
	, KeepRevisionForever='false'	
)

SELECT * FROM Files

UPDATE Files
  WITH (Id='1EVzXFVBQIh3LcJvfcLhI1UWhW3qUxFkM'
  ,DiskFilePath='C:\MyFiles\myfile.ext')
  --You can get file Id by selecting from 'list_files' endpoint

DELETE FROM Files
  WITH (Id='1gcu0hV34OTfgvcu9CFhr7Go4b35j5Mop')
  --You can get file Id by selecting from 'list_files' endpoint

DELETE FROM Files where Name='dump.csv' and Trashed=0 WITH(DriveId='0AC00HWQH144cUk9PVA', DriveType='drive')
  --You can get file Id by selecting from 'list_files' endpoint

INSERT INTO Files
  WITH (FileName='My filename'
      ,DiskFilePath='C:\MyFolder\Mymyfile.ext'
      ,ParentFolderId='root'
	  )
  --You can get ParentFolderId by selecting from 'list_folders' endpoint or just use 'root'

DELETE FROM Folders
  WITH (Id='1yDO11prsLH9DUrBTCadV6GGMJrITjF9I')
  --You can get folder Id by selecting from 'list_folders' endpoint

INSERT INTO Folders
  WITH (Name='My folder name'
      ,ParentFolderId='root')
  --You can get ParentFolderId by selecting from 'list_folders' endpoint or just use 'root'

SELECT * FROM FileInfo
  WITH (Id='1EVzXFVBQIh3LcJvfcLhI1UWhW3qUxFkM')
  --You can get file Id by selecting from 'list_files' endpoint

SELECT * FROM ItemsList

SELECT Id, Kind, Name, MimeType
  FROM list_items
  WITH (Query = 'name contains ''.txt''')

SELECT * FROM FilesList

SELECT * FROM FoldersList

SELECT * FROM Trash

SELECT * FROM Trash
				WITH(
				    DriveType='drive'
				   ,DriveId='1j0HFOP4gsoExxxxxx' 	--get id from select * from SharedDrives			   
				 )

DELETE FROM Trash

DELETE FROM Trash
				WITH(
				    DriveType='drive'
				   ,DriveId='1j0HFOP4gsoExxxxxx' --get id from select * from SharedDrives
				 )

SELECT "Status" FROM export_file
				WITH(
                      Id='1j0HFOP4gsoE-Zbf2xN3IsPSj8wgwNtIfyyvM1_BWkW4' --//google sheet id or document ID
					  
				   --,DriveId='xx your shared drive id'  --get id from select * from SharedDrives
				   --,DriveType='drive'
					   
					 , ExportAs='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'
				   --, ExportAs='application/pdf'
					 , ResponseDataFile='c:\temp\sheet1.xlsx'		
					 , FileOverwriteMode='AlwaysOverwrite' -- or try 'FailIfExists' or 'SkipIfExists'					 
				))
			 --You can export files from 'export_file' endpoint

Conclusion

In this article we discussed how to connect to Google Drive in Python and integrate data without any coding. Click here to Download Google Drive Connector for Python and try yourself see how easy it is. If you still have any question(s) then ask here or simply click on live chat icon below and ask our expert (see bottom-right corner of this page).

Download Google Drive Connector for Python Documentation 

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