Membervault

Creators of the Content Ladder Framework, and content platform, Member Vault. We're big fans of all things automated online engagement.

Integrate the Membervault API with the Python API

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

MemberVault offers an innovative approach to engaging and understanding your audience through interactive content. With the MemberVault API, you can automate the management of users, products, and engagement data, ensuring seamless integration with your marketing and customer service tools. This capability opens up a world of possibilities for personalized interactions, targeted campaigns, and streamlined content delivery based on user behavior and preferences.

Connect Membervault

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    membervault: {
      type: "app",
      app: "membervault",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.membervault.$auth.subdomain}.vipmembervault.com/api/get_courses`,
      params: {
        apikey: `${this.membervault.$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

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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}}