The calendar and scheduling component of Outlook that is fully integrated with email, contacts, and other features
Emit new event when a new Calendar event is created
Emit new event when a Calendar event is updated
Emit new event when a Calendar event is upcoming, this source is using reminderMinutesBeforeStart
property of the event to determine the time it should emit.
Create an event in the user's default calendar. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Delete an event in the user's default calendar. See the documentation
Update an event in the user's default calendar. See the documentation
The Microsoft Outlook Calendar API provides programmatic access to a user's calendar events, allowing for the creation, retrieval, update, and deletion of events within Outlook calendars. With Pipedream, you can integrate these calendar operations into workflows that automate tasks involving scheduling, event management, and coordination with other services. Whether it's triggering actions when new events are created, syncing calendar events with other scheduling tools, or managing attendees, Pipedream's serverless platform enables you to build custom automations with minimal overhead.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_outlook_calendar: {
type: "app",
app: "microsoft_outlook_calendar",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.microsoft_outlook_calendar.$auth.oauth_access_token}`,
},
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
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}}