Integrate the Teachable API with the Python API

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

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Popular Teachable and Python Actions#

Create Student with the Teachable API

Creates a new student. 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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Search Users with the Teachable API

Searches for a user by email address. See the documentation

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Update Student with the Teachable API

Updates an existing student. See the documentation

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Overview of Teachable#

The Teachable API opens up possibilities for automating and enhancing online course interactions and management. Using Pipedream, you can weave together workflows that interact with Teachable events, users, and courses. You can automate enrollment processes, synchronize course data with external systems, and engage students with timely notifications. Pipedream's serverless platform lets you create these workflows with minimal setup, leveraging its ability to trigger actions based on Teachable events or on a schedule, and to integrate with hundreds of other apps.

Connect Teachable#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    teachable: {
      type: "app",
      app: "teachable",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://developers.teachable.com/v1/users`,
      headers: {
        "apiKey": `${this.teachable.$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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