Integrate the Mandrill API with the Python API

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

Popular Mandrill and Python Actions#

Send an Email with the Mandrill API

Send an email using Mandrill. See API docs here: https://mandrillapp.com/api/docs/messages.curl.html#method=send

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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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Overview of Mandrill#

Mandrill, a transactional email API for Mailchimp, empowers developers to easily send personalized, one-to-one e-commerce emails, or automated transactional emails. With Pipedream, you can harness Mandrill's capabilities to create powerful automations that trigger on various events, like updating databases on email delivery, syncing with CRM systems when users interact with your emails, or even conducting sentiment analysis on email content for customer support insights.

Connect Mandrill#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mandrill: {
      type: "app",
      app: "mandrill",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://mandrillapp.com/api/1.0/messages/send.json`,
      data: {
        key: this.mandrill.$auth.api_key,
        message: {
          html: params.html,
          text: params.text,
          subject: params.subject,
          from_email: params.from_email,
          from_name: params.from_name,
          to: [{
            email: params.email,
            name: params.name,
            type: params.type || "to",
          }]
        }
      }
    })
  },
})

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}}