Google Calendar Connector for Python
In this article you will learn how to integrate 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. 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. |
Connect to Google Calendar in other apps
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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:
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Install ZappySys ODBC PowerPack.
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Open ODBC Data Sources (x64):
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Create a User Data Source (User DSN) based on ZappySys API Driver
ZappySys API DriverYou 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. -
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:
GoogleCalendarDSNGoogle Calendar -
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:
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First of all, go to Google API Console.
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Then click Select a project button and then click NEW PROJECT button:
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Name your project and click CREATE button:
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Wait until the project is created:
- Done! Let's proceed to the next step.
Step-2: Enable Google Calendar API
In this step we will enable Google Calendar API:
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Select your project on the top bar:
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Then click the "hamburger" icon on the top left and access APIs & Services:
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Now let's enable several APIs by clicking ENABLE APIS AND SERVICES button:
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In the search bar search for
calendar
and then locate and select Google Calendar API: -
Enable Google Calendar API:
- Done! Let's proceed to the next step.
Step-3: Create OAuth application
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First of all, click the "hamburger" icon on the top left and then hit VIEW ALL PRODUCTS:
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Then access Google Auth Platform to start creating an OAuth application:
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Start by pressing GET STARTED button:
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Next, continue by filling in App name and User support email fields:
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Choose Internal option, if it's enabled, otherwise select External:
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Optional step if you used
Internal
option in the previous step. Nevertheless, if you had to useExternal
option, then click ADD USERS to add a user: -
Then add your contact Email address:
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Finally, check the checkbox and click CREATE button:
- Done! Let's create Client Credentials in the next step.
Step-4: Create Client Credentials
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In Google Auth Platform, select Clients menu item and click CREATE CLIENT button:
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Choose
Desktop app
as Application type and name your credentials: -
Continue by opening the created credentials:
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Finally, copy Client ID and Client secret for the later step:
- Done! We have all the data needed for authentication, let's proceed to the last step!
Step-5: Configure connection
-
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.
-
Press Generate Token button to generate Access and Refresh Tokens.
-
Finally, click Test Connection to confirm the connection is working.
- Done! Now you are ready to use Google Calendar Connector!
Fill in all required parameters and set optional parameters if needed:
GoogleCalendarDSNGoogle CalendarUser 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) 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:
-
First of all, go to Google API Console.
-
Then click Select a project button and then click NEW PROJECT button:
-
Name your project and click CREATE button:
-
Wait until the project is created:
- Done! Let's proceed to the next step.
Step-2: Enable Google Calendar API
In this step we will enable Google Calendar API:
-
Select your project on the top bar:
-
Then click the "hamburger" icon on the top left and access APIs & Services:
-
Now let's enable several APIs by clicking ENABLE APIS AND SERVICES button:
-
In the search bar search for
calendar
and then locate and select Google Calendar API: -
Enable Google Calendar API:
- 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:
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First of all, go to IAM & Admin in Google Cloud console:
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Once you do that, click Service Accounts on the left side and click CREATE SERVICE ACCOUNT button:
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Then name your service account and click CREATE AND CONTINUE button:
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Continue by clicking Select a role dropdown and start granting service account Project Viewer roles:
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Find Project group and select Viewer role:
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Finish adding roles by clicking CONTINUE button:
You can always add or modify permissions later in IAM & Admin. -
Finally, in the last step, just click button DONE:
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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:
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In Service Accounts open newly created service account:
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Next, copy email address of your service account for the later step:
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Continue by selecting KEYS tab, then press ADD KEY dropdown, and click Create new key menu item:
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Finally, select P12 option and hit CREATE button:
- 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:
- Login to https://calendar.google.com with Google account credentials whose calendar you want to share with the service account.
- On the top right click gear icon and click Settings item to open configuration.
- Then on the left, click Settings of my calendars section.
- Locate the calendar you want to share and select it.
- In the dropdown hit Share with specific people or groups and click Add people and groups button.
- Enter the service account email address we obtained in the previous section.
- Finally, choose the permissions, e.g.
Make changes to events
: -
- Click Send button to share the calendar.
- That's it! Let's proceed to the configuration!
Step-6: Configure connection
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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.
- Done! Now you are ready to use Google Calendar Connector!
Fill in all required parameters and set optional parameters if needed:
GoogleCalendarDSNGoogle CalendarService 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) -
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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:
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Click OK to finish creating the data source.
Video instructions
Read data in Python
Using ODBC DSN
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Python code to get the data:
GoogleCalendarDSN') -
When you run the code it will make the API call and read the data:
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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:
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Open ODBC data source configuration and click Copy settings:
ZappySys API Driver - Google CalendarRead / 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 CalendarGoogleCalendarDSN
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The window opens, telling us the connection string was successfully copied to the clipboard:
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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:
Ensure you have Python installed on your system. If not, download it from the official Python website and follow the installation instructions.
Open your terminal or command prompt.
-
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.
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
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Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
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Enter the desired Procedure name and click on OK:
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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>';
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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';
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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''')
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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.
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Go to Custom Objects Tab and Click on Add button and Select Add Table:
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Enter the desired Table name and click on OK:
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And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.
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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'
-
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"
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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''')
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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 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.Parameter | Description |
---|---|
CalendarId |
|
Parameter | Description |
---|---|
CalendarId |
|
EventId |
|
Parameter | Description |
---|---|
CalendarId |
|
Parameter | Description |
---|---|
CalendarId |
|
EventId |
|
Parameter | Description |
---|---|
SourceCalendarId |
|
TargetCalendarId |
|
EventId |
|
Parameter | Description | ||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Url |
|
||||||||||||||||||||||||||
Body |
|
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IsMultiPart |
|
||||||||||||||||||||||||||
Filter |
|
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Headers |
|
Parameter | Description |
---|---|
Url |
|
IsMultiPart |
|
Filter |
|
Headers |
|
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
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