Google Drive Connector for Python

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

In this article you will learn how to quickly and efficiently integrate Google Drive data in Python. We will use high-performance Google Drive Connector to easily connect to Google Drive and then access the data inside Python.

Let's follow the steps below to see how we can accomplish that!

Download Documentation

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. Download and install ODBC PowerPack.

  2. Open ODBC Data Sources (x64):

    Open ODBC Data Source
  3. Create a User data source (User DSN) based on ZappySys API Driver

    ZappySys API Driver
    Create new User DSN for 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 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
    ODBC DSN Template Selection
  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 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 Drive credentials

    Follow these steps on how to create Client Credentials (User Account principle) to authenticate and access Google Drive 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:

      Start creating a new project in Google Cloud
    3. Name your project and click CREATE button:

      Create a new project in Google Cloud
    4. Wait until the project is created:

      Wait until project is created in Google Cloud
    5. Done! Let's proceed to the next step.

    Step-2: Enable Google Drive API

    In this step we will enable Google Drive API:

    1. Select your project on the top bar:

      Select project in Google Cloud
    2. Then click the "hamburger" icon on the top left and access APIs & Services:

      Access APIs and services in Google Cloud
    3. Now let's enable several APIs by clicking ENABLE APIS AND SERVICES button:

      Enable API for project in Google Cloud
    4. In the search bar search for drive and then locate and select Google Drive API:

      Search for API in Google Cloud
    5. Enable Google Drive API:

      Enable Google Drive API
    6. 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:

      View all products in Google Cloud
    2. Then access Google Auth Platform to start creating an OAuth application:

      Open Google Auth Platform in Google Cloud
    3. Start by pressing GET STARTED button:

      Start creating an app in Google Cloud
    4. Next, continue by filling in App name and User support email fields:

      Fill app info in Google Cloud
    5. Choose Internal option, if it's enabled, otherwise select External:

      Choose app audience in Google Cloud
    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:

      Add test user in Google Cloud app
    7. Then add your contact Email address:

      Enter app contact info in Google Cloud
    8. Finally, check the checkbox and click CREATE button:

      Create app in Google Cloud
    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:

      Start creating app client in Google Cloud
    2. Choose Desktop app as Application type and name your credentials:

      Create OAuth app client in Google Cloud
    3. Continue by opening the created credentials:

      View app client credentials in Google Cloud
    4. Finally, copy Client ID and Client secret for the later step:

      Use client ID and secret to read Google REST API data
    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. Finally, click Test Connection to confirm the connection is working.

    4. Done! Now you are ready to use Google Drive Connector!

    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
    ClientSecret
    Scope https://www.googleapis.com/auth/drive
    RetryMode RetryWhenStatusCodeMatch
    RetryStatusCodeList 403|429
    RetryCountMax 5
    RetryMultiplyWaitTime True
    Redirect URL (Only for Web App)
    ODBC DSN Oauth Connection Configuration

    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 Drive credentials

    Follow these steps on how to create Service Account to authenticate and access Google Drive 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:

      Start creating a new project in Google Cloud
    3. Name your project and click CREATE button:

      Create a new project in Google Cloud
    4. Wait until the project is created:

      Wait until project is created in Google Cloud
    5. Done! Let's proceed to the next step.

    Step-2: Enable Google Drive API

    In this step we will enable Google Drive API:

    1. Select your project on the top bar:

      Select project in Google Cloud
    2. Then click the "hamburger" icon on the top left and access APIs & Services:

      Access APIs and services in Google Cloud
    3. Now let's enable several APIs by clicking ENABLE APIS AND SERVICES button:

      Enable API for project in Google Cloud
    4. In the search bar search for drive and then locate and select Google Drive API:

      Search for API in Google Cloud
    5. Enable Google Drive API:

      Enable Google Drive API
    6. 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:

      Access IAM & Admin in Google Cloud
    2. Once you do that, click Service Accounts on the left side and click CREATE SERVICE ACCOUNT button:

      Start creating service account in Google Cloud
    3. Then name your service account and click CREATE AND CONTINUE button:

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

      Start granting service account project roles in Google Cloud
    5. Find Project group and select Viewer role:

      Grant service account project viewer role
    6. Finish adding roles by clicking CONTINUE button:

      Finish granting service account project roles in Google Cloud
      You can always add or modify permissions later in IAM & Admin.
    7. Finally, in the last step, just click button DONE:

      Finish configuring service account in Google Cloud
    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 file) to the created Service Account:

    1. In Service Accounts open newly created service account:

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

      Copy service account email address in Google Cloud
    3. Continue by selecting KEYS tab, then press ADD KEY dropdown, and click Create new key menu item:

      Start creating key for service account in Google Cloud
    4. Finally, select JSON (Engine v19+) or P12 option and hit CREATE button:

      Create JSON or P12 key for service account in Google Cloud
    5. Key file downloads into your machine. We have all the data needed for authentication, let's proceed to the last step!

    Step-5: Share Google Drive files and folders with Service Account

    Now it's time to grant Google Drive read/write permissions to the created service account:

    1. Login to https://drive.google.com with Google account credentials whose files/folders you want to share with the service account.
    2. Select the file or folder, right-click on it, click Share menu item, and then hit Share subitem:

      Share Google Drive file or folder with service account
    3. Share it with your service account:

      Share Google Drive folder with service account
    4. Grant it appropriate permissions, e.g. Viewer or Editor (for reading or writing):

      Grant service account Google Drive file permissions
    5. That's it! Let's proceed to the configuration!

    Step-6: Configure connection

    1. Now go to SSIS package or ODBC data source and configure these fields in Service 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. Done! Now you are ready to use Google Drive Connector!

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

    GoogleDriveDSN
    Google Drive
    Service Account [OAuth]
    https://www.googleapis.com/
    Required Parameters
    Service Account Email Fill-in the parameter...
    Service Account Private Key Path (i.e. *.json OR *.p12) Fill-in the parameter...
    Optional Parameters
    Scope https://www.googleapis.com/auth/drive
    RetryMode RetryWhenStatusCodeMatch
    RetryStatusCodeList 403|429
    RetryCountMax 5
    RetryMultiplyWaitTime True
    Impersonate As (Google account email address)
    ODBC DSN Oauth Connection Configuration

  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 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
    Open Query Builder in API ODBC Driver to read and write data to REST API
  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 Drive. Hit OK button to use this query in the next step.

    SELECT * FROM Drive
    Configure table/endpoint parameters in ODBC data source based on API Driver
    Some parameters configured in this window will be passed to the Google Drive 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 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
    SELECT * FROM Drive
    API ODBC Driver-based data source data preview
    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 Drive 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 Drive 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:

    GoogleDriveDSN')
    Python code to get the data from ZappySys DSN

  2. When you run the code it will make the API call and read the data:
    Python - Extracted data from ZappySys DSN

  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 - Configuration [Version: 2.0.1.10418]
    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
    Copy connection string for ODBC application
  2. The window opens, telling us the connection string was successfully copied to the clipboard: Successful connection string copying for ODBC application
  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?

You would need to install pyodbc in Python if you intend to establish connections to databases that support ODBC (Open Database Connectivity). This module facilitates communication between Python applications and various database management systems, enabling you to perform operations such as querying, retrieving data, and managing databases. Here's how you can install pyodbc in Python:

Installation Steps:

  1. Ensure you have Python installed on your system. If not, download it from the official Python website and follow the installation instructions.

  2. Open your terminal or command prompt.

  3. Use the following command to install pyodbc using pip, the Python package installer:

    python -m pip install "pyodbc"

    Make sure you have a stable internet connection and the necessary permissions to install Python packages.


    Python - pip install pyodbc

Reasons to Install:

  • If pyodbc is not installed, your Python script will generate the following error:
    "ModuleNotFoundError: No module named 'pyodbc'"
    .
  • Database Connectivity: pyodbc allows Python to connect to various databases that support ODBC, such as Microsoft SQL Server, PostgreSQL, MySQL, and more.

  • Data Operations: It facilitates the execution of SQL queries, retrieval of data, and other database operations from within Python scripts.

  • Cross-Platform Support: pyodbc is designed to work across different operating systems, including Windows, macOS, and various Linux distributions.

  • Simplicity and Efficiency: The module provides an intuitive interface for managing database transactions and connections, simplifying the process of working with databases in Python.

By installing pyodbc, you can seamlessly integrate your Python applications with a wide range of ODBC-supported databases, enabling efficient and effective data management and analysis.

Actions supported by Google Drive Connector

Learn how to perform common Google Drive actions directly in Python with these how-to guides:

Conclusion

In this article we showed you how to connect to Google Drive 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 Drive, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).

We encourage you to download Google Drive 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 Drive Connector for Python Documentation

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