Integrate the SkillzRun API with the Python API

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

Popular Ways to Connect SkillzRun with Python#

Run Python Code with Python API on New User Created from SkillzRun API

SkillzRun + Python

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Popular SkillzRun and Python Triggers#

New User Created from the SkillzRun API

Emit new event when a new user has been created in SkillzRun. See the documentation

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Popular SkillzRun and Python Actions#

Create User With Offers with the SkillzRun API

Creates a new user with their associated offers in the SkillzRun app. 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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Upsert User with the SkillzRun API

Creates or updates a user based on the user email prop. See the documentation

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Overview of SkillzRun#

SkillzRun API provides robust features for managing online courses, student interactions, and educational content delivery. This API enables developers to automate educational workflows, integrate e-learning systems, and enhance student engagement through customized interactions. By integrating SkillzRun with Pipedream, users can automate processes like enrollment notifications, course updates, and dynamic content delivery, reducing manual effort and increasing operational efficiency.

Connect SkillzRun#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    skillzrun: {
      type: "app",
      app: "skillzrun",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `http://api.skillzrun.com/external/api/users/`,
      headers: {
        "x-api-key": `${this.skillzrun.$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}}