Integrate the ScheduleOnce API with the Python API

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

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Popular ScheduleOnce and Python Actions#

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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Overview of ScheduleOnce#

The ScheduleOnce API enables the automation of scheduling processes, allowing you to integrate your booking flow into custom applications or services. By leveraging this API on Pipedream, you can create dynamic workflows that react to booking events, synchronize with other calendar services, and streamline communications based on the scheduling data. This interaction opens up numerous possibilities for creating efficient, time-saving automations that keep your scheduling in sync with your business operations.

Connect ScheduleOnce#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    scheduleonce: {
      type: "app",
      app: "scheduleonce",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.oncehub.com/v2/users`,
      headers: {
        "Content-type": `application/json`,
        "API-Key": `${this.scheduleonce.$auth.api_key}`,
      },
    })
  },
})

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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