listmonk

listmonk is a self-hosted, high performance mailing list and newsletter manager. It comes as a standalone binary and the only dependency is a Postgres database.

Integrate the listmonk API with the Python API

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

Run Python Code with Python API on New Subscriber Added from listmonk API
listmonk + Python
 
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New Subscriber Added from the listmonk API

Emit new event when a new subscriber is added. See the documentation

 
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Create Campaign with the listmonk API

Creates a new campaign in Listmonk. See the documentation

 
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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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Create List with the listmonk API

Creates a new list in Listmonk. See the documentation

 
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Create Subscriber with the listmonk API

Create a new subscriber in Listmonk. See the documentation

 
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Overview of listmonk

The listmonk API enables you to interact programmatically with the listmonk platform, which specializes in managing mailing lists and sending out newsletters. Using this API, you can automate subscriber management, campaign dispatching, and performance tracking. When you integrate listmonk with Pipedream, you can create powerful workflows that react to events from other apps, process data, and use that data to trigger actions within listmonk.

Connect listmonk

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    listmonk: {
      type: "app",
      app: "listmonk",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.listmonk.$auth.url}/api/lists`,
      auth: {
        username: `${this.listmonk.$auth.username}`,
        password: `${this.listmonk.$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

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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}}