Integrate the Mux API with the Python API

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

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Popular Ways to Connect Mux with Python#

Run Python Code with Python API on New Live Stream Active from Mux API

Mux + Python

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Run Python Code with Python API on New Video Asset Ready from Mux API

Mux + Python

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Popular Mux and Python Triggers#

New Live Stream Active from the Mux API

Emit new event when a live-stream is set to active status.

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New Video Asset Ready from the Mux API

Emit new event when a video asset is set to ready status.

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Popular Mux and Python Actions#

Create Asset with the Mux API

Create a new asset with a track. 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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Create Asset Track with the Mux API

Adds an asset track (for example, subtitles) to an asset. See the documentation

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Get Asset with the Mux API

Retrieves an asset. See the documentation

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Get Asset or Livestream ID with the Mux API

Returns an Asset or Livestream ID from a Playback ID. See the documentation

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Overview of Mux#

Mux is a powerful API that simplifies the process of working with video and audio data. By leveraging Mux on Pipedream, you unlock the potential to automate video and audio streaming workflows, analyze media performance, and integrate seamlessly with other services to enrich your media content strategy. With Mux's ability to manage video assets, including uploading, encoding, and delivering content across devices, combined with Pipedream's serverless execution model, you can create dynamic, scalable, and highly customized media operations.

Connect Mux#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mux: {
      type: "app",
      app: "mux",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.mux.com/video/v1/assets`,
      headers: {
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.mux.$auth.access_key}`,
        password: `${this.mux.$auth.secret_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}}

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