Integrate the Demio API with the Python API

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

Popular Ways to Connect Demio with Python#

Run Python Code with Python API on New Participant from Demio API

Demio + Python

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Popular Demio and Python Triggers#

New Participant from the Demio API

Emit new event for each participant in an event. See docs here

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Popular Demio and Python Actions#

Create Join Link with the Demio API

Create Join Link. See docs here

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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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Get Event with the Demio API

Get a specific event. See docs here

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Get Events with the Demio API

Get all events by type. See docs here

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Overview of Demio#

Demio, a webinar platform, offers an API that lets you automate various aspects of your webinar experience. With the Demio API on Pipedream, you can seamlessly integrate webinar registration, attendance tracking, and follow-up actions into your business workflows. Pipedream's serverless platform facilitates the creation of complex automations that can trigger actions based on events in Demio, connecting it with hundreds of other apps for a cohesive ecosystem.

Connect Demio#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    demio: {
      type: "app",
      app: "demio",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://my.demio.com/api/v1/events`,
      headers: {
        "Api-Key": `${this.demio.$auth.api_key}`,
        "Api-Secret": `${this.demio.$auth.api_secret}`,
      },
    })
  },
})

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}}