Integrate the DaySchedule API with the Python API

Setup the DaySchedule API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate DaySchedule and Python remarkably fast. Free for developers.

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Popular Ways to Connect DaySchedule with Python#

Run Python Code with Python API on New Event Scheduled from DaySchedule API

DaySchedule + Python

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Run Python Code with Python API on New Event Updated from DaySchedule API

DaySchedule + Python

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Popular DaySchedule and Python Triggers#

New Event Scheduled from the DaySchedule API

Emit new event when a new event is added to the schedule.

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New Event Updated from the DaySchedule API

Emit new event when an event is updated in the schedule.

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Popular DaySchedule and Python Actions#

Create Event with the DaySchedule API

Add a new event to the DaySchedule. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Delete Event with the DaySchedule API

Remove an existing event from the DaySchedule. See the documentation

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Update Event with the DaySchedule API

Modify an existing event in the DaySchedule. See the documentation

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Overview of DaySchedule#

The DaySchedule API enables the automation of appointment scheduling tasks, allowing users to create, update, and manage appointments efficiently. With Pipedream, you can harness this API to integrate with various services, triggering workflows based on events like new bookings or cancellations. You can orchestrate data flows between DaySchedule and other apps you use for CRM, email marketing, customer support, or internal communication, streamlining the process of managing your calendar and client interactions.

Connect DaySchedule#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dayschedule: {
      type: "app",
      app: "dayschedule",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.dayschedule.com/v1/me`,
      headers: {
        Authorization: `Bearer ${this.dayschedule.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of Python#

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:

Connect Python#

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}}

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