Integrate the Screendesk API with the Python API

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

Popular Ways to Connect Screendesk with Python#

Run Python Code with Python API on New Recording from Screendesk API

Screendesk + Python

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Popular Screendesk and Python Triggers#

New Recording from the Screendesk API

Emit new event when a new recording is created is sent or received.

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Popular Screendesk 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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Retrieve A Recording with the Screendesk API

Get a specific recording See the documentation

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Overview of Screendesk#

The Screendesk API lets you automate customer support tasks directly within your apps or websites. Imagine streamlining interactions like ticket creation, response tracking, and support analytics. With Pipedream, you can easily craft workflows that interact with the Screendesk API to enhance customer support efficiency, trigger actions based on ticket status, or synchronize support data with other tools.

Connect Screendesk#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    screendesk: {
      type: "app",
      app: "screendesk",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.screendesk.io/api/v1/me`,
      headers: {
        Authorization: `Bearer ${this.screendesk.$auth.api_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}}