Weworkbook

Weworkbook is a cloud-based software service that helps training organizations increase enrollments and reduce costs.

Integrate the Weworkbook API with the Python API

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

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 Weworkbook

The Weworkbook API provides access to a suite of tools for educational businesses, such as student management, course planning, and finance tracking. Leveraging this API on Pipedream allows for the automation of these tasks and the integration of data with other apps and services. By combining workflows on Pipedream, you can streamline operations, enhance student engagement, and improve reporting capabilities, among other potential benefits.

Connect Weworkbook

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

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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}}