Airmeet

Virtual and hybrid event experiences with a real human connection.

Integrate the Airmeet API with the Python API

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

Add Authorized Attendee with the Airmeet API

Add authorized Attendee. See the documentation

 
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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 Airmeet with the Airmeet API

Creates an airmeet. See the documentation

 
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Overview of Airmeet

The Airmeet API enables you to automate and manage virtual events with ease. By integrating with Pipedream, you can create custom workflows that interact with the Airmeet platform, such as attendee management, event scheduling, and real-time updates. Utilize the API to sync event data, send notifications, and connect with other services for a comprehensive event automation solution.

Connect Airmeet

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    airmeet: {
      type: "app",
      app: "airmeet",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.airmeet.$auth.region}.airmeet.com/prod/airmeets`,
      headers: {
        "X-Airmeet-Access-Token": `${this.airmeet.$auth.oauth_access_token}`,
      },
    })
  },
})

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

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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}}