Integrate the Cliniko API with the Python API

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

Popular Ways to Connect Cliniko with Python#

Run Python Code with Python API on New Booking Created from Cliniko API

Cliniko + Python

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Run Python Code with Python API on New Contact Created from Cliniko API

Cliniko + Python

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Popular Cliniko and Python Triggers#

New Booking Created from the Cliniko API

Emit new event when a booking is created in Cliniko. See the documentation

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New Contact Created from the Cliniko API

Emit new event when a contact is created in Cliniko. See the documentation

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Popular Cliniko and Python Actions#

Get Patient with the Cliniko API

Get the details of a patient by patient ID.

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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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Overview of Cliniko#

The Cliniko API opens a gateway to healthcare practice management by allowing you to interact with patient data, appointments, treatments, and more. With Pipedream, you can automate mundane tasks, ensuring that patient care remains front and center. Think of syncing appointment data with other calendars, sending personalized follow-up emails, or even managing inventory based on treatment records, all streamlined on a serverless platform.

Connect Cliniko#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cliniko: {
      type: "app",
      app: "cliniko",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.${this.cliniko.$auth.shard}.cliniko.com/v1/users`,
      headers: {
        "User-Agent": `Pipedream (support@pipedream.com)`,
        "Accept": `application/json`,
      },
      auth: {
        username: `${this.cliniko.$auth.api_key}`,
        password: ``,
      },
    })
  },
})

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}}