Google Calendar Connector for Python

In this article you will learn how to integrate Google Calendar data in Python (live / bi-directional connection to Google Calendar). Read / write Google Calendar data inside your app; perform many Google Calendar operations without coding, just using easy to use high performance API Connector for Google Calendar.

Using Google Calendar 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

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

Step-by-step instructions

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

  1. Install ZappySys 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
    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 Calendar" from the list of Popular Connectors. If "Google Calendar" 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:

    GoogleCalendarDSN
    Google Calendar
    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 Calendar credentials

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

    In this step we will enable Google Calendar 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 calendar and then locate and select Google Calendar API:

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

      Enable Google Calendar 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 Calendar Connector!

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

    GoogleCalendarDSN
    Google Calendar
    User Account [OAuth]
    https://www.googleapis.com/calendar/v3/
    Required Parameters
    UseCustomApp Fill-in the parameter...
    Optional Parameters
    ClientId
    ClientSecret
    Scope https://www.googleapis.com/auth/calendar
    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 Calendar credentials

    Follow these steps on how to create Service Account to authenticate and access Google Calendar 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 Calendar API

    In this step we will enable Google Calendar 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 calendar and then locate and select Google Calendar API:

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

      Enable Google Calendar 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 (P12 certificate) 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 P12 option and hit CREATE button:

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

    Step-5: Share Google Calendar with Service Account

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

    1. Login to https://calendar.google.com with Google account credentials whose calendar you want to share with the service account.
    2. On the top right click gear icon and click Settings item to open configuration.
    3. Then on the left, click Settings of my calendars section.
    4. Locate the calendar you want to share and select it.
    5. In the dropdown hit Share with specific people or groups and click Add people and groups button.
    6. Enter the service account email address we obtained in the previous section.
    7. Finally, choose the permissions, e.g. Make changes to events:
    8. Share Google Calendar with service account
    9. Click Send button to share the calendar.
    10. 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. *.p12) field use downloaded certificate's file path.
    2. Done! Now you are ready to use Google Calendar Connector!

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

    GoogleCalendarDSN
    Google Calendar
    Service Account [OAuth]
    https://www.googleapis.com/calendar/v3/
    Required Parameters
    Service Account Email Fill-in the parameter...
    Service Account Private Key Path (i.e. *.p12) Fill-in the parameter...
    Optional Parameters
    Scope https://www.googleapis.com/auth/calendar
    RetryMode RetryWhenStatusCodeMatch
    RetryStatusCodeList 403|429
    RetryCountMax 5
    RetryMultiplyWaitTime True
    Impersonate As (Enter Email Id)
    ODBC DSN Oauth Connection Configuration

  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:
    ODBC ZappySys Data Source Preview

  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:

    GoogleCalendarDSN')
    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=GoogleCalendarDSN')
    
        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 Calendar
    Read / write Google Calendar data inside your app; perform many Google Calendar operations without coding, just using easy to use high performance API Connector for Google Calendar
    GoogleCalendarDSN
    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.

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:
    ZappySys Driver - Add Stored Procedure

  2. Enter the desired Procedure name and click on OK:
    ZappySys Driver - Add Stored Procedure Name

  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>';
    

    ZappySys Driver - Create Custom Stored Procedure

  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';

    ZappySys Driver - Execute Custom Stored Procedure

  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''')

    ZappySys Driver - Generate SQL Server Query

  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.
    ZappySys Driver - Generate SQL Server Query

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:
    ZappySys Driver - Add Table

  2. Enter the desired Table name and click on OK:
    ZappySys Driver - Add Table Name

  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'

    ZappySys Driver - Create Custom Table

  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"

    ZappySys Driver - Execute Custom Virtual Table Query

  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''')

    ZappySys Driver - Generate SQL Server Query

  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.
    ZappySys Driver - Generate SQL Server Query

Actions supported by Google Calendar Connector

Google Calendar Connector support following actions for REST API integration. If some actions are not listed below then you can easily edit Connector file and enhance out of the box functionality.
 List calendars
Lists calendars    [Read more...]
 List events
Lists events    [Read more...]
Parameter Description
CalendarId
 Get event
Gets event    [Read more...]
Parameter Description
CalendarId
EventId
 Create event
Creates event    [Read more...]
Parameter Description
CalendarId
 Delete event
Deletes event    [Read more...]
Parameter Description
CalendarId
EventId
 Move event to another calendar
Moves event from one calendar to another    [Read more...]
Parameter Description
SourceCalendarId
TargetCalendarId
EventId
 Generic Request
This is generic endpoint. Use this endpoint when some actions are not implemented by connector. Just enter partial URL (Required), Body, Method, Header etc. Most parameters are optional except URL.    [Read more...]
Parameter Description
Url API URL goes here. You can enter full URL or Partial URL relative to Base URL. If it is full URL then domain name must be part of ServiceURL or part of TrustedDomains
Body Request Body content goes here
IsMultiPart Set this option if you want to upload file(s) (i.e. POST RAW file data) or send data using Multi-Part encoding method (i.e. Content-Type: multipart/form-data). Multi-Part request allows you to mix key/value and upload files in same request. On the other hand raw upload allows only single file upload (without any key/value) ==== Raw Upload (Content-Type: application/octet-stream) ===== To upload single file in raw mode check this option and specify full file path starting with @ sign in the Body (e.g. @c:\data\myfile.zip ) ==== Form-Data / Multipart Upload (Content-Type: multipart/form-data) ===== To treat your Request data as multi part fields you must specify key/value pairs separated by new lines into RequestData field (i.e. Body). Each key value pair is entered on new-line and key/value are separated using equal sign (=). Preceding and trailing spaces are ignored also blank lines are ignored. If field value has some any special character(s) then use escape sequence (e.g. For NewLine: \r\n, For Tab: \t, For at (@): \@). When value of any field starts with at sign (@) its automatically treated as File you want to upload. By default file content type is determined based on extension however you can supply content type manually for any field using this way [ YourFileFieldName.Content-Type=some-content-type ]. By default File Upload Field always includes Content-Type in the request (non file fields do not have content-type by default unless you supply manually). For some reason if you dont want to use Content-Type header in your request then supply blank Content-Type to exclude this header altogather [e.g. SomeFieldName.Content-Type= ]. In below example we have supplied Content-Type for file2 and SomeField1, all other fields are using default content-type. See below Example of uploading multiple files along with additional fields. If some API requires you to pass Content-Type: multipart/form-data rather than multipart/form-data then manually set Request Header => Content-Type: multipart/mixed (it must starts with multipart/ else will be ignored). file1=@c:\data\Myfile1.txt file2=@c:\data\Myfile2.json file2.Content-Type=application/json SomeField1=aaaaaaa SomeField1.Content-Type=text/plain SomeField2=12345 SomeFieldWithNewLineAndTab=This is line1\r\nThis is line2\r\nThis is \ttab \ttab \ttab SomeFieldStartingWithAtSign=\@MyTwitterHandle
Filter Enter filter to extract array from response. Example: $.rows[*] --OR-- $.customers[*].orders[*]. Check your response document and find out hierarchy you like to extract
Option Value
No filter
Example1 $.store.books[*]
Example2 (Sections Under Books) $.store.books[*].sections[*]
Example3 (Equals) $.store.books[?(@author=='sam')]
Example4 (Equals - Any Section) $..[?(@author=='sam')]
Example5 (Not Equals - Any Section) $..[?(@author!='sam')]
Example6 (Number less than) $.store.books[?(@.price<10)] Example7 (Regular Expression - Contains Pattern)=$.store.books[?(@author=~ /sam|bob/ )]
Example8 (Regular Expression - Does Not Contain Pattern) $.store.books[?(@author=~ /^((?!sam|bob).)*$/ )]
Example9 (Regular Expression - Exact Pattern Match) $.store.books[?(@author=~ /^sam|bob$/ )]
Example10 (Regular Expression - Starts With) $.store.books[?(@author=~ /^sam/ )]
Example11 (Regular Expression - Ends With) $.store.books[?(@author=~ /sam$/ )]
Example12 (Between) $.store.employees[?( @.hiredate>'2015-01-01' && @.hiredate<'2015-01-04' )]
Headers Headers for Request. To enter multiple headers use double pipe or new line after each {header-name}:{value} pair
 Generic Request (Bulk Write)
This is a generic endpoint for bulk write purpose. Use this endpoint when some actions are not implemented by connector. Just enter partial URL (Required), Body, Method, Header etc. Most parameters are optional except URL.    [Read more...]
Parameter Description
Url API URL goes here. You can enter full URL or Partial URL relative to Base URL. If it is full URL then domain name must be part of ServiceURL or part of TrustedDomains
IsMultiPart Set this option if you want to upload file(s) (i.e. POST RAW file data) or send data using Multi-Part encoding method (i.e. Content-Type: multipart/form-data). Multi-Part request allows you to mix key/value and upload files in same request. On the other hand raw upload allows only single file upload (without any key/value) ==== Raw Upload (Content-Type: application/octet-stream) ===== To upload single file in raw mode check this option and specify full file path starting with @ sign in the Body (e.g. @c:\data\myfile.zip ) ==== Form-Data / Multipart Upload (Content-Type: multipart/form-data) ===== To treat your Request data as multi part fields you must specify key/value pairs separated by new lines into RequestData field (i.e. Body). Each key value pair is entered on new-line and key/value are separated using equal sign (=). Preceding and trailing spaces are ignored also blank lines are ignored. If field value has some any special character(s) then use escape sequence (e.g. For NewLine: \r\n, For Tab: \t, For at (@): \@). When value of any field starts with at sign (@) its automatically treated as File you want to upload. By default file content type is determined based on extension however you can supply content type manually for any field using this way [ YourFileFieldName.Content-Type=some-content-type ]. By default File Upload Field always includes Content-Type in the request (non file fields do not have content-type by default unless you supply manually). For some reason if you dont want to use Content-Type header in your request then supply blank Content-Type to exclude this header altogather [e.g. SomeFieldName.Content-Type= ]. In below example we have supplied Content-Type for file2 and SomeField1, all other fields are using default content-type. See below Example of uploading multiple files along with additional fields. If some API requires you to pass Content-Type: multipart/form-data rather than multipart/form-data then manually set Request Header => Content-Type: multipart/mixed (it must starts with multipart/ else will be ignored). file1=@c:\data\Myfile1.txt file2=@c:\data\Myfile2.json file2.Content-Type=application/json SomeField1=aaaaaaa SomeField1.Content-Type=text/plain SomeField2=12345 SomeFieldWithNewLineAndTab=This is line1\r\nThis is line2\r\nThis is \ttab \ttab \ttab SomeFieldStartingWithAtSign=\@MyTwitterHandle
Filter Enter filter to extract array from response. Example: $.rows[*] --OR-- $.customers[*].orders[*]. Check your response document and find out hierarchy you like to extract
Headers Headers for Request. To enter multiple headers use double pipe (||) or new line after each {header-name}:{value} pair

Google Calendar 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.

List calendars    [Read more...]

Lists calendars

SELECT * FROM Calendars

List events    [Read more...]

Lists events

SELECT * FROM Events
  WITH (CalendarId='MyCalendarId')

Get event    [Read more...]

Gets event

SELECT * FROM get_event
  WITH (CalendarId='MyCalendarId'
       ,EventId='MyEventId')

Create event    [Read more...]

Creates event

INSERT INTO Events(StartsAt, StartsInTimeZone, EndsAt, EndsInTimeZone, Summary,
  Attendees, Description, Location, Status, Transparency, Visibility)
  VALUES ('2021-11-26T16:30:50', 'Europe/Vilnius', '2021-11-27T16:30:50','Europe/Vilnius', 'This is an event',
          null, 'My Description', 'Vilnius', 'confirmed', 'opaque', 'default')
  WITH (CalendarId='YourCalendarId')

Get event    [Read more...]

Gets event

DELETE FROM Events
    WITH (CalendarId='MyCalendarId',
    EventId='MyEventId')

Move event to a different calendar    [Read more...]

Moves event to a different calendar

UPDATE move_event
  WITH (SourceCalendarId='MySourceCalendarId',
  TargetCalendarId='MyTargetCalendarId',
  EventId='MyEventId'
  )

Conclusion

In this article we discussed how to connect to Google Calendar in Python and integrate data without any coding. Click here to Download Google Calendar 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 Calendar Connector for Python Documentation 

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  • Google Calendar Python Integration

  • Integration Google Calendar in Python

  • Consume real-time Google Calendar data in Python

  • Consume real-time Google Calendar API data in Python

  • Google Calendar ODBC Driver | ODBC Driver for Google Calendar | ODBC Google Calendar Driver | SSIS Google Calendar Source | SSIS Google Calendar Destination

  • Connect Google Calendar in Python

  • Load Google Calendar in Python

  • Load Google Calendar data in Python

  • Read Google Calendar data in Python

  • Google Calendar API Call in Python