CalendarHero

Smart scheduling software for modern business.

Integrate the CalendarHero API with the Python API

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

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.

 
Try it

Overview of CalendarHero

CalendarHero's API on Pipedream enables you to craft tailored scheduling experiences by automating meeting setups, reminders, and follow-ups. Imagine the convenience of automating meeting coordination among various stakeholders, synchronizing schedules across platforms, and triggering actions based on meeting events. With CalendarHero and Pipedream, you can create powerful workflows that respond dynamically to your calendar activities, ensuring you spend less time managing meetings and more time engaging in them.

Connect CalendarHero

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    calendarhero: {
      type: "app",
      app: "calendarhero",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.calendarhero.com/user`,
      headers: {
        "Authorization": `${this.calendarhero.$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

1
2
3
4
5
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}}