Integrate the Uscreen API with the Python API

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

Popular Uscreen and Python Actions#

Create User with the Uscreen API

Creates an user. See the documentation

Try it

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

Grant User Access with the Uscreen API

Grant access to an user. See the documentation

Try it

Overview of Uscreen#

The Uscreen API lets you programmatically access your video on demand and OTT (over-the-top) service. With this API, you can pull data about videos, users, and sales, and carry out actions like creating and updating users, and more. By leveraging the Uscreen API on Pipedream, you can automate workflows involving video content management, user engagement tracking, and sales monitoring. This can significantly cut down manual effort and streamlines operations within your Uscreen account.

Connect Uscreen#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    uscreen: {
      type: "app",
      app: "uscreen",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.uscreen.io/publisher_api/v1/customers`,
      headers: {
        "Accept": `application/json`,
        "Authorization": `${this.uscreen.$auth.publisher_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}}