Integrate the JW Player API with the Python API

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

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Popular Ways to Connect JW Player with Python#

Run Python Code with Python API on New Media Available (Instant) from JW Player API

JW Player + Python

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Popular JW Player and Python Triggers#

New Media Available (Instant) from the JW Player API

Emit new event when a new media conversion is completed or a media becomes available.

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Popular JW Player and Python Actions#

Create Media with the JW Player API

Creates a new media file in JW Player using fetch or external upload methods. 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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Search Media with the JW Player API

Searches for a media or lists all media available in JW Player. See the documentation

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Overview of JW Player#

The JW Player API offers a way to manage and deliver video content programmatically. On Pipedream, you can leverage this API to automate video publishing workflows, analyze viewer data, and integrate with other services. Creating, updating, and managing video metadata can be automated, as well as handling video transcoding jobs and analyzing performance with custom metrics. By tapping into Pipedream's serverless platform, you can build powerful automations without managing infrastructure.

Connect JW Player#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    jw_player: {
      type: "app",
      app: "jw_player",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.jwplayer.com/v2/sites/{{your_site_id}}/media/`,
      headers: {
        "Authorization": `${this.jw_player.$auth.api_key}`,
        "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}}

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