Integrate the Klaxoon API with the Python API

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

Popular Klaxoon and Python Actions#

Create Board with the Klaxoon API

Creates a board. 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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Create Idea with the Klaxoon API

Creates an idea. See the documentation

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Update Idea with the Klaxoon API

Updates an idea. See the documentation

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Overview of Klaxoon#

Klaxoon offers interactive tools for enhanced team collaboration and engagement. The Klaxoon API enables programmatic interactions, allowing you to create, manage, and track Klaxoon activities like quizzes, surveys, and brainstorming sessions. When integrated into Pipedream workflows, you can automate interactions with Klaxoon, sync data with other services, and tailor collaboration activities to your team's needs.

Connect Klaxoon#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    klaxoon: {
      type: "app",
      app: "klaxoon",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.klaxoon.com/v1/users/me`,
      headers: {
        Authorization: `Bearer ${this.klaxoon.$auth.oauth_access_token}`,
        "Accept": `application/json`,
      },
    })
  },
})

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}}