Integrate the Zeta (Boomtrain) API with the Python API

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

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Popular Zeta (Boomtrain) and Python Actions#

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 Zeta (Boomtrain)#

The Zeta (Boomtrain) API offers a suite of tools designed for predictive marketing and analytics. By leveraging machine learning and data science, it can help personalize user experiences and optimize marketing efforts. With this API on Pipedream, you can automate customer segmentation, execute targeted campaigns, and analyze customer behavior. The API's capabilities can be harnessed to create dynamic, responsive marketing workflows that react to user interactions in real-time.

Connect Zeta (Boomtrain)#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    boomtrain: {
      type: "app",
      app: "boomtrain",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://events.api.boomtrain.com/events/recent/${this.boomtrain.$auth.site_id}`,
      headers: {
        Authorization: `Bearer ${this.boomtrain.$auth.id_token}`,
      },
      params: {
        count: `10`,
      },
    })
  },
})

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}}

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