Integrate the MoonMail API with the Python API

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

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular MoonMail 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.

Try it

Overview of MoonMail#

MoonMail is a powerful email marketing platform that allows you to create, send, and track email campaigns. When integrated with Pipedream, you can automate workflows for managing subscriber lists, triggering email campaigns based on specific events, and analyzing campaign performance. Pipedream's serverless platform facilitates the creation of complex workflows without the need to manage infrastructure, making it simple to connect MoonMail with other services to enhance your email marketing automation.

Connect MoonMail#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    moonmail: {
      type: "app",
      app: "moonmail",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `{Account {Id Status}}`,
    }
    return await axios($, {
      method: "post",
      url: `https://graphql.moonmail.io`,
      headers: {
        "Authorization": `${this.moonmail.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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}}

Start for free — no credit card required

Watch a demo