Integrate the Baremetrics API with the Python API

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

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular Baremetrics and Python Actions#

Create Customer with the Baremetrics API

Create a customer. See the documentation

Try it

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

Create Plan with the Baremetrics API

Create a plan. See the documentation

Try it

Create Subscription with the Baremetrics API

Subscribe a client to a plan. See the documentation

Try it

Update Customer with the Baremetrics API

Update a customer. See the documentation

Try it

Overview of Baremetrics#

The Baremetrics API offers granular data on your SaaS metrics, including MRR, ARR, LTV, and churn rates, directly accessible for analytics, reporting, and enhancing business intelligence. With Pipedream's integration capabilities, you can automate workflows that react to this data in real-time, syncing with other services for actions like customer engagement, financial forecasting, and trigger-based alerting.

Connect Baremetrics#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    baremetrics: {
      type: "app",
      app: "baremetrics",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.baremetrics.com/v1/account`,
      headers: {
        Authorization: `Bearer ${this.baremetrics.$auth.oauth_access_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}}

Start for free — no credit card required

Watch a demo