Acelle Mail

Acelle Mail is a self-hosted, full-featured, easy to use Email Marketing Web Application

Integrate the Acelle Mail API with the Python API

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

Create Customer with the Acelle Mail API

Creates a customer. 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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Subscribe Customer To Plan with the Acelle Mail API

Subscribe customer to a plan. See the documentation

 
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Overview of Acelle Mail

The Acelle Mail API opens doors for you to engage with your audience through crafted email campaigns, subscriber management, and analytics directly through Pipedream. By leveraging Pipedream's capabilities, you can automate workflows that respond to new subscribers, trigger campaigns based on external events, and analyze the performance of your email marketing efforts, all in real-time.

Connect Acelle Mail

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    acelle_mail: {
      type: "app",
      app: "acelle_mail",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.acelle_mail.$auth.api_endpoint}/api/v1/plans`,
      params: {
        api_token: `${this.acelle_mail.$auth.api_token}`,
      },
    })
  },
})

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}}