Integrate the LightSpeed VT API with the Python API

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

Popular Ways to Connect LightSpeed VT with Python#

Run Python Code with Python API on New User Added from LightSpeed VT API

LightSpeed VT + Python

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Popular LightSpeed VT and Python Triggers#

New User Added from the LightSpeed VT API

Emit new event every time there is a new user in the system

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Popular LightSpeed VT and Python Actions#

Create New User with the LightSpeed VT API

Creates a new user in the LightSpeed VT system. 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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Overview of LightSpeed VT#

LightSpeed VT is a learning management system (LMS) that provides a platform for delivering interactive training and e-learning experiences. Through the LightSpeed VT API, you can automate access to course catalogs, manage users, track progress and performance, and integrate this data with other systems. On Pipedream, you can leverage this API to create workflows that respond to events in real-time, synchronize training data with other platforms, and enhance the user learning experience with personalized automations.

Connect LightSpeed VT#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    lightspeed_vt: {
      type: "app",
      app: "lightspeed_vt",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://webservices.lightspeedvt.net/REST/V1/users/`,
      auth: {
        username: `${this.lightspeed_vt.$auth.api_key}`,
        password: `${this.lightspeed_vt.$auth.api_secret}`,
      },
    })
  },
})

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}}