Integrate the Smaily API with the Python API

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

Popular Smaily and Python Actions#

Run Automation Workflow with the Smaily API

Send Automation Workflow. See docs here

Try it

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

Update Subscriber with the Smaily API

Updates a subscriber. See docs here

Try it

Overview of Smaily#

The Smaily API allows for email marketing automation, where you can manage contacts, templates, and send out campaigns. With Pipedream's power to integrate a multitude of apps, you can craft custom workflows that react to events from various services, and then use Smaily to send targeted communications, all in a serverless environment. This seamless integration can be a game-changer for marketers seeking to enhance their audience engagement through personalized and timely emails based on user behavior or data.

Connect Smaily#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    smaily: {
      type: "app",
      app: "smaily",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.smaily.$auth.subdomain}.sendsmaily.net/api/organizations/users.php`,
      auth: {
        username: `${this.smaily.$auth.username}`,
        password: `${this.smaily.$auth.password}`,
      },
    })
  },
})

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}}