Integrate the Mailbox Power API with the Python API

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

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Popular Mailbox Power 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 Mailbox Power#

The Mailbox Power API enables personalized direct mail campaigns by automating the sending of physical mail, gifts, and greeting cards. This can be orchestrated directly from Pipedream's platform, leveraging the ease of serverless workflows. With this API, one can create targeted, personalized mail pieces on the fly, manage contacts, and track sent items, all programmatically. The integration potential on Pipedream also allows for syncing Mailbox Power with CRM systems, triggering mail sends based on customer actions or dates, and analyzing the impact of direct mail campaigns in conjunction with digital marketing tools.

Connect Mailbox Power#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mailbox_power: {
      type: "app",
      app: "mailbox_power",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.rocketnotes.com/api/clienttether/contacts/groups`,
      headers: {
        "APIKEY": `${this.mailbox_power.$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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