Integrate the UniOne API with the Python API

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

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Popular UniOne 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 UniOne#

UniOne is an email service provider that offers a broad range of features for sending and managing email campaigns. Through its API, you can programmatically send transactional emails, organize mailing lists, track email delivery statuses, and analyze recipient engagements. When integrated on Pipedream, UniOne becomes a part of your serverless workflow, enabling you to automate email operations with various triggers and actions from other apps.

Connect UniOne#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    unione: {
      type: "app",
      app: "unione",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://${this.unione.$auth.server}/en/transactional/api/v1/system/info.json`,
      headers: {
        "X-API-KEY": `${this.unione.$auth.api_key}`,
        "Content-Type": `application/json`,
        "Accept": `application/json`,
      },
      data: {} //this empty object is required for the test request to work
    })
  },
})

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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