Integrate the Riddle Quiz Maker API with the Python API

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

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Popular Riddle 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 Riddle Quiz Maker#

Riddle Quiz Maker API lets you tap into a rich seam of interactive content, from quizzes to polls and surveys. By leveraging this API on Pipedream, you can automate interactions with your quizzes, extract responses in real-time, synchronize data across platforms, and trigger actions based on user engagement. Exploiting Pipedream's serverless platform allows you to create workflows that respond swiftly, integrate with numerous apps, and streamline content management—turning audience insights into actionable intelligence.

Connect Riddle Quiz Maker#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    riddle_quiz_maker: {
      type: "app",
      app: "riddle_quiz_maker",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.riddle.com/api/v2/riddle/get/types`,
      headers: {
        "Authorization": `Bearer ${this.riddle_quiz_maker.$auth.api_token}`,
        "Key": `${this.riddle_quiz_maker.$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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