Scheduling calendar service developed by Google
Emit new event when the specified time before the Google Calendar event starts
Emit new event based on a time interval before an upcoming event in the calendar. This source uses Pipedream's Task Scheduler. See the documentation for more information and instructions for connecting your Pipedream account.
Emit new event when a Google Calendar events is created or updated (does not emit cancelled events)
Emit new event when a Google Calendar event is created
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Create a quick event to the Google Calendar. See the documentation
Create an event to the Google Calendar. See the documentation
Delete an event to the Google Calendar. See the documentation
Retrieve a list of calendars from Google Calendar. See the documentation
The Google Calendar API gives developers access to Google Calendar data,
allowing them to create their own applications that can read, write, and update
calendar data. With the API, users can integrate their own calendar
applications with Google Calendar, giving them the ability to manage their
calendars in one place. The API also provides the ability to search for events
and create new events.
Possible applications that could be built using the Google Calendar API
include:
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_calendar: {
type: "app",
app: "google_calendar",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/calendar/v3/calendars/primary`,
headers: {
Authorization: `Bearer ${this.google_calendar.$auth.oauth_access_token}`,
},
})
},
})
Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.
By using Pipedream, you can easily:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}