Integrate the Ongage API with the Python API

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

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Popular Ongage and Python Actions#

Ongage Find Subscriber with the Ongage API

Find a list subscriber in Ongage.

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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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Ongage Subscribe with the Ongage API

Subscribe to a list in Ongage.

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Ongage Update Subscriber with the Ongage API

Update a list subscriber in Ongage.

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Overview of Ongage#

The Ongage API provides a robust platform for email marketing campaign management, allowing for the creation, management, and analysis of email campaigns. With Pipedream's capabilities, you can automate tasks like syncing subscriber lists, triggering email campaigns based on specific events, and analyzing campaign performance directly within your workflow.

Connect Ongage#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ongage: {
      type: "app",
      app: "ongage",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.ongage.net/api/lists`,
      headers: {
        "x_username": `${this.ongage.$auth.x_username}`,
        "x_password": `${this.ongage.$auth.x_password}`,
        "x_account_code": `${this.ongage.$auth.x_account_code}`,
      },
    })
  },
})

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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