Integrate the LifterLMS API with the Python API

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

Try it

Overview of LifterLMS #

The LifterLMS API allows you to leverage a powerful learning management system within your Pipedream workflows, enabling automation of course-related tasks, user management, and more. With this API, you can create new courses, enroll students, track progress, and trigger actions based on course events. Integrating LifterLMS with Pipedream can streamline operations, enhance student engagement, and provide personalized learning experiences by connecting to various other services like email platforms, CRMs, or analytics tools.

Connect LifterLMS #

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    lifterlms: {
      type: "app",
      app: "lifterlms",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.lifterlms.$auth.url}/wp-json/llms/v1/courses`,
      auth: {
        username: `${this.lifterlms.$auth.consumer_key}`,
        password: `${this.lifterlms.$auth.consumer_secret}`,
      },
    })
  },
})

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