Integrate the Planyo Online Booking API with the Python API

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

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Popular Planyo Online Booking and Python Actions#

Create Reservation with the Planyo Online Booking API

Enters a new reservation into the system. See Docs

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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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Create User with the Planyo Online Booking API

Inserts a new user associated with your Planyo site. See Docs

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Create Vacation with the Planyo Online Booking API

Adds a new one-time vacation for given resource or entire Planyo site. See Docs

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Overview of Planyo Online Booking#

The Planyo Online Booking API facilitates interaction with a versatile reservation system, allowing for booking management and integration with external calendars, payment systems, and customer relationship tools. With Pipedream's serverless platform, you can wield this API to construct dynamic, event-driven workflows. Automate notifications, synchronize bookings with other services, or generate detailed reports on reservation trends. Streamline scheduling tasks, minimize manual data entry, and enhance the customer booking experience with customized automations.

Connect Planyo Online Booking#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    planyo_online_booking: {
      type: "app",
      app: "planyo_online_booking",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.planyo.com/rest/`,
      params: {
        method: `get_site_info`,
        api_key: `${this.planyo_online_booking.$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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