Elastic Email

All the email marketing and delivery tools you need to communicate with your customers. Most attractive monthly pricing and pay-as-you-go option on the market.

Integrate the Elastic Email API with the Python API

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

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 Elastic Email

The Elastic Email API allows you to integrate a robust email sending platform into your Pipedream workflows. Use it to send emails, manage contacts, and track campaign statistics. With this API, you can automate email notifications, synchronize subscriber lists, or trigger marketing campaigns based on user actions.

Connect Elastic Email

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    elastic_email: {
      type: "app",
      app: "elastic_email",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.elasticemail.com/v2/account/profileoverview`,
      headers: {
        "X-ElasticEmail-ApiKey": `${this.elastic_email.$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

1
2
3
4
5
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}}