Drimify

Drimify empowers you to easily create games and gamification experiences that help you reach your goals. Supercharged games, super-easy creation.

Integrate the Drimify API with the Python API

Setup the Drimify API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Drimify 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 Drimify

Drimify offers a suite of tools to create engaging and interactive content like quizzes, games, and e-learning modules. With the Drimify API, you can automate the creation and management of these interactive elements, extract analytics, and personalize user experiences. On Pipedream, you can leverage these API capabilities to build serverless workflows that connect Drimify with other apps, streamlining processes like lead generation, user engagement tracking, and content updates.

Connect Drimify

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    drimify: {
      type: "app",
      app: "drimify",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://endpoint.drimify.com/api/app_data_collections`,
      headers: {
        "X-AUTH-TOKEN": `${this.drimify.$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

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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}}