ClickMeeting

ClickMeeting, a browser-based platform, brings the power of webinars to organizations of any size.

Integrate the ClickMeeting API with the Python API

Setup the ClickMeeting API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate ClickMeeting 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 ClickMeeting

The ClickMeeting API taps into the functionality of the ClickMeeting platform, allowing you to streamline your webinar and online meeting management directly through Pipedream. Automate webinar creation, manage attendees, and extract analytics. By leveraging Pipedream's capabilities, you can create workflows that trigger on specific events, orchestrate data flow between apps, and automate repetitive tasks – all this without the hassle of managing server infrastructure.

Connect ClickMeeting

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    clickmeeting: {
      type: "app",
      app: "clickmeeting",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.clickmeeting.com/v1/ping`,
      headers: {
        "X-Api-Key": `${this.clickmeeting.$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

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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}}