Integrate the ProProfs Quiz Maker API with the Python API

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

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Popular ProProfs Quiz Maker 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.

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Overview of ProProfs Quiz Maker#

The ProProfs Quiz Maker API lets you manage quizzes, questions, and results programmatically. With it, you can automate the creation of quizzes, extract quiz data, and integrate quiz results with other systems. On Pipedream, you can create workflows that trigger on a specific event, such as a new quiz completion, and connect with hundreds of other apps to streamline your processes or enhance your data analysis.

Connect ProProfs Quiz Maker#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    proprofs_quiz_maker: {
      type: "app",
      app: "proprofs_quiz_maker",
    }
  },
  async run({steps, $}) {
    const data = {
      "token": `${this.proprofs_quiz_maker.$auth.api_key}`,
      "username": `${this.proprofs_quiz_maker.$auth.username}`,
    }
    return await axios($, {
      method: "post",
      url: `https://www.proprofs.com/api/classroom/v1/reports/users/`,
      headers: {
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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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