Mumara

Mumara is a web app store with a variety of apps available under its parasol that can help you fuel multi-channel, data driven marketing strategy.

Integrate the Mumara API with the Python API

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

The Mumara API provides programmatic access to powerful email marketing and SMS campaign tools, allowing for the automation of contact list management, campaign creation, and performance tracking. In Pipedream, you can leverage these capabilities to create custom workflows that integrate Mumara with other services, automate repetitive tasks, and react to events in real-time. By connecting Mumara's API with Pipedream's serverless execution platform, you can create data-driven workflows that streamline your marketing efforts.

Connect Mumara

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mumara: {
      type: "app",
      app: "mumara",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://one.mumara.com/api/getLists`,
      headers: {
        Authorization: `Bearer ${this.mumara.$auth.api_token}`,
        "Content-Type": `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}}