Integrate the Mailwizz API with the Python API

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

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Popular Ways to Connect Mailwizz with Python#

Run Python Code with Python API on New Email Sent from Mailwizz API

Mailwizz + Python

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Run Python Code with Python API on New Subscriber Added from Mailwizz API

Mailwizz + Python

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Popular Mailwizz and Python Triggers#

New Email Sent from the Mailwizz API

Emit new event when an email campaign is successfully sent.

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New Subscriber Added from the Mailwizz API

Emit new event when a new subscriber is created.

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Popular Mailwizz and Python Actions#

Add Subscriber with the Mailwizz API

Create a new subscriber to a list. See the docs here

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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 Campaign with the Mailwizz API

Create a new campaign. See the docs here

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Updaste Subscriber with the Mailwizz API

Update a specific subscriber. See the docs here

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Overview of Mailwizz#

Mailwizz offers a potent API that enables automation of email marketing tasks, subscriber management, campaign tracking, and more. Using Pipedream, you can harness this API to create custom workflows that trigger on specific events, process data, or synchronize with other apps. Pipedream's serverless architecture allows you to handle workflows at scale without managing infrastructure.

Connect Mailwizz#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mailwizz: {
      type: "app",
      app: "mailwizz",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.mailwizz.$auth.url}/lists`,
      headers: {
        "X-API-KEY": `${this.mailwizz.$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#

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}}

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