Eventzilla

Eventzilla is a leading cloud-based event registration & marketing platform with thousands of users worldwide. We make it easy for event organizers to create a beautiful, professional web presence to promote their live or virtual events.

Integrate the Eventzilla API with the Python API

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

 
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Overview of Eventzilla

The Eventzilla API allows you to seamlessly integrate your event management into a variety of workflows and systems. With the API, you can automate the retrieval of event details, participant data, and handle registrations programmatically. It’s ideal for syncing event information across platforms, streamlining communication with attendees, and enhancing marketing efforts through targeted campaigns and analytics.

Connect Eventzilla

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    eventzilla: {
      type: "app",
      app: "eventzilla",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.eventzillaapi.net/api/v2/users`,
      headers: {
        "x-api-key": `${this.eventzilla.$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}}