Integrate the Spotlightr API with the Python API

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

Popular Ways to Connect Spotlightr with Python#

Run Python Code with Python API on New Video View from Spotlightr API

Spotlightr + Python

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Popular Spotlightr and Python Triggers#

New Video View from the Spotlightr API

Emit new event when a specific video is viewed by a user.

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Popular Spotlightr and Python Actions#

Create Video with the Spotlightr API

Create a video in an application. 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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Delete Videos with the Spotlightr API

Delete videos from your account. See the documentation

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Overview of Spotlightr#

The Spotlightr API provides a platform for users to interact with their Spotlightr video content and analytics programmatically. Using Pipedream, you can automate various tasks such as uploading videos, managing video settings, and retrieving video analytics. This empowers you to integrate video-related workflows into your business processes, enhance content management, and gain insights from video engagement data, all through serverless workflows.

Connect Spotlightr#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    spotlightr: {
      type: "app",
      app: "spotlightr",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.spotlightr.com/api/videos`,
      params: {
        vooKey: `${this.spotlightr.$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}}