Integrate the Marketing Master IO API with the Python API

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

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Popular Marketing Master IO and Python Actions#

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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Overview of Marketing Master IO#

The Marketing Master IO API enables the automation of digital marketing tasks, including email campaign management, audience segmentation, and performance analytics. With its integration on Pipedream, you can craft workflows that streamline your marketing efforts, trigger actions based on customer data, and analyze campaign results in real-time. The API's capabilities, when coupled with Pipedream's serverless platform, allow for the creation of dynamic, responsive marketing strategies without extensive manual oversight.

Connect Marketing Master IO#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    marketing_master_io: {
      type: "app",
      app: "marketing_master_io",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.marketingmaster.io/v1/contacts/list`,
      headers: {
        Authorization: `Bearer ${this.marketing_master_io.$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#

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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