Integrate the Timekit API with the Python API

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

Popular Ways to Connect Timekit with Python#

Run Python Code with Python API on New Booking with State from Timekit API

Timekit + Python

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Popular Timekit and Python Triggers#

New Booking with State from the Timekit API

Emit new event when a booking has a specific state. See the docs.

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Popular Timekit 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 Timekit#

Timekit is a flexible booking and resource management API that enables developers to create and manage appointments and calendars. With Timekit, you can automate the scheduling process, sync calendars, manage bookings, and craft customized booking experiences. Using Pipedream, you can leverage Timekit to create efficient workflows that automate scheduling-related tasks, trigger actions based on calendar events, and integrate with various other services for a seamless operational ecosystem.

Connect Timekit#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    timekit: {
      type: "app",
      app: "timekit",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.timekit.io/v2/users`,
      headers: {
        "Content-Type": `application/json`,
      },
      auth: {
        username: ``,
        password: `${this.timekit.$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}}