Integrate the Zenler API with the Python API

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

Popular Ways to Connect Zenler with Python#

Run Python Code with Python API on New Course Completed from Zenler API

Zenler + Python

Try it

Run Python Code with Python API on New Funnel Subscription from Zenler API

Zenler + Python

Try it

Run Python Code with Python API on New Lesson Complete from Zenler API

Zenler + Python

Try it

Run Python Code with Python API on New Live Class Registration from Zenler API

Zenler + Python

Try it

Run Python Code with Python API on New Live Interactive Webinar Registration from Zenler API

Zenler + Python

Try it

Popular Zenler and Python Triggers#

New Course Completed from the Zenler API

Emit new event when a course is completed. See the docs here

Try it

New Funnel Subscription from the Zenler API

Emit new event when a funnel is created. See the docs here

Try it

New Lesson Complete from the Zenler API

Emit new event when a lesson is completed. See the docs here

Try it

New Live Class Registration from the Zenler API

Emit new event when a new live class is registered. See the docs here

Try it

New Live Interactive Webinar Registration from the Zenler API

Emit new event when a new live interactive webinar is registered. See the docs here

Try it

Popular Zenler and Python Actions#

Create User with the Zenler API

Creates a user. See the docs here

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

Enroll User with the Zenler API

Enrolls a user to a course. See the docs here

Try it

Registers a live class. See the docs here

Try it

Registers a live webinar. See the docs here

Try it

Overview of Zenler#

The Zenler API lets you tap into your online course platform to automate tasks, streamline student engagement, and track course performance. By harnessing the power of the Zenler API on Pipedream, you can create dynamic serverless workflows that respond to course interactions, manage users, and analyze educational content effectiveness, all in real-time. Whether you're looking to enhance the learning experience, or make your course administration more efficient, the Zenler API on Pipedream offers the tools to make it happen.

Connect Zenler#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zenler: {
      type: "app",
      app: "zenler",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.newzenler.com/api/v1/users`,
      headers: {
        "X-API-Key": `${this.zenler.$auth.api_key}`,
        "X-Account-Name": `${this.zenler.$auth.account_name}`,
      },
    })
  },
})

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}}