Integrate the Freshlearn API with the Python API

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

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Popular Freshlearn and Python Actions#

Create Course Enrollment with the Freshlearn API

Enrolls an existing member in a new course. See the documentation

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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 Member with the Freshlearn API

Creates a new member within FreshLearn. See the documentation

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Update Member with the Freshlearn API

Updates the details of an existing member. See the documentation

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Overview of Freshlearn#

The Freshlearn API provides a gateway to interact with Freshlearn's learning management system, allowing for the automation of course creation, user management, and analytics retrieval. By leveraging this API within Pipedream, you can create powerful serverless workflows that integrate Freshlearn with other apps to enhance the educational experience, streamline administrative tasks, and analyze course performance.

Connect Freshlearn#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    freshlearn: {
      type: "app",
      app: "freshlearn",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.freshlearn.com/v1/integration/member`,
      headers: {
        "api-key": `${this.freshlearn.$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#

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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