Integrate the ProfitWell API with the Python API

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

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Popular ProfitWell and Python Actions#

Churn Subscription with the ProfitWell API

Churn a subscription See docs here

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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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Create Subscription with the ProfitWell API

Create a subscription See docs here

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Get Customer Info with the ProfitWell API

Get data for a customer See docs here

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Update Subscription with the ProfitWell API

Upgrade/downgrade a subscription See docs here

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Overview of ProfitWell#

The ProfitWell API provides programmatic access to metrics and data related to subscription-based businesses. By integrating with Pipedream, you can automate complex workflows involving your financial metrics, customer insights, and growth tracking. Whether it's syncing subscriber data with marketing platforms, triggering alerts based on revenue milestones, or creating custom analytics dashboards, Pipedream's serverless platform enables you to connect ProfitWell with a plethora of other services without writing extensive code.

Connect ProfitWell#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    profitwell: {
      type: "app",
      app: "profitwell",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.profitwell.com/v2/plans/`,
      headers: {
        "Authorization": `${this.profitwell.$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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