Integrate the Postmark API with the Python API

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

Overview of Postmark#

What Is the Postmark API?

The Postmark API enables developers to easily integrate programmatic emailing into their applications. With the API, developers can create, send, and track transactional emails that are designed to enhance user experience and user engagement. The API also provides developers with access to powerful analytics and insights, such as open/click rates, spam complaints, bounces, and unsubscribes.

What Can You Build With the Postmark API?

The Postmark API allows developers to easily incorporate automated email notifications into their applications. Some examples of what you can build using the API are:

Welcome emails
Password reset emails
Email verification reminders
Event notification emails
Automated transactional emails
Billing and invoicing emails
Receipt emails
Email newsletters
Auto-responders and more!

Connect Postmark#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    postmark: {
      type: "app",
      app: "postmark",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.postmarkapp.com/server`,
      headers: {
        "X-Postmark-Server-Token": `${this.postmark.$auth.api_key}`,
        "Accept": `application/json`,
      },
    })
  },
})

Overview of Python#

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

Create automated workflows that run on a specific schedule
Compose workflows across various apps and services
React to events in cloud services or form data
Automatically create content and notifications
Construct classifications and predictions
Analyze and react to sentiment, sentiment analysis and sentiment score
Connect backends to the frontend with serverless functions
Work with files and databases
Perform web requests and fetch data
Integrate third-party APIs into your apps
Orchestrate data processing tasks and pipelines
Create powerful application APIs with authentication and authorization
Design CI/CD pipelines and Continuous Delivery services
Connect databases like MongoDB and MySQL
Monitor connections and events
Generate alerts and notifications for corresponding events

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}}

Postmark