Active Trail

ActiveTrail is the world's friendliest email marketing platform, newsletter software and marketing automation software.

Integrate the Active Trail API with the Python API

Setup the Active Trail API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Active Trail 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 Active Trail

ActiveTrail’s API allows for the automation of email marketing campaigns, contact management, and event-triggered communications. By integrating ActiveTrail with Pipedream, you can create workflows that react to specific triggers, such as new subscriber sign-ups, and perform actions like updating contact lists or sending personalized emails. This level of automation can save time, improve customer engagement, and ensure timely communications.

Connect Active Trail

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    active_trail: {
      type: "app",
      app: "active_trail",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://webapi.mymarketing.co.il/api/account/balance`,
      headers: {
        "Authorization": `${this.active_trail.$auth.access_token}`,
        "Accept": `application/json`,
      },
    })
  },
})

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

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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}}