Integrate the Memberful API with the Python API

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

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Popular Ways to Connect Memberful with Python#

Run Python Code with Python API on New Webhook Event from Memberful API

Memberful + Python

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Popular Memberful and Python Triggers#

New Webhook Event from the Memberful API

Emit new event in Pipedream when a subscribed event is triggered in memberful.

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Popular Memberful 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 Memberful#

The Memberful API lets you handle memberships and subscriptions with precision. Using Pipedream, you can automate tasks around Memberful's robust features, like syncing member data, managing subscriptions, or triggering events based on membership changes. Pipedream's serverless platform turns these tasks into workflows you can build, run, and observe with ease.

Connect Memberful#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    memberful: {
      type: "app",
      app: "memberful",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "POST",
      url: `https://${this.memberful.$auth.site}.memberful.com/api/graphql`,
      headers: {
        Authorization: `Bearer ${this.memberful.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      params: {
        query: `{
  members(first: 10) {
    totalCount
    pageInfo {
      endCursor
      hasNextPage
    }
    edges {
      node {
        id
        email
        fullName
        subscriptions {
          id
          plan {
            id
            name
            priceCents
          }
        }
      }
    }
  }
}`,
      },
    })
  },
})

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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