Integrate the Mailercloud API with the Python API

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

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Popular Mailercloud and Python Actions#

Add Contact to List with the Mailercloud API

Adds a new contact to a selected list in the user's Mailercloud account. 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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Create List with the Mailercloud API

Creates a new list in the user's Mailercloud account. See the documentation

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Update Contact with the Mailercloud API

Update an existing contact in the user's Mailercloud account. See the documentation

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Overview of Mailercloud#

Mailercloud API opens the door to robust email marketing and automation possibilities. Within Pipedream's serverless environment, you can leverage this API to create, send, and track email campaigns, manage subscriber lists, and analyze performance metrics. It fits seamlessly into workflows that require communication with customers or internal teams, growing and nurturing leads, or automating email-based tasks.

Connect Mailercloud#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mailercloud: {
      type: "app",
      app: "mailercloud",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://cloudapi.mailercloud.com/v1/client/plan`,
      headers: {
        "Authorization": `${this.mailercloud.$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}}

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