Integrate the Doppler Marketing Automation API with the Python API

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

Popular Doppler Marketing Automation and Python Actions#

Add Subscriber with the Doppler Marketing Automation API

Add new subscriber. See the documentation

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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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Get Subscriber with the Doppler Marketing Automation API

Get a subscriber. See the documentation

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Remove Subscriber with the Doppler Marketing Automation API

Remove a subscriber. See the documentation

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Overview of Doppler Marketing Automation#

The Doppler Marketing Automation API allows you to automate email marketing campaigns, manage subscriber lists, and analyze the performance of your email marketing efforts. When integrated with Pipedream, you can craft workflows that respond to events in real-time, sync data across various platforms, and personalize your marketing strategy, all while leveraging the serverless execution environment to scale as needed.

Connect Doppler Marketing Automation#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    doppler_marketing_automation: {
      type: "app",
      app: "doppler_marketing_automation",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://restapi.fromdoppler.com/accounts/${this.doppler_marketing_automation.$auth.account_name}/campaigns`,
      headers: {
        "Accept": `application/json`,
        "Authorization": `token ${this.doppler_marketing_automation.$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#

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}}