Integrate the Pusher API with the Python API

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

Popular Pusher and Python Actions#

Send an Event to a Channel with the Pusher API

Send an event to a channel using Pusher's npm package

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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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Overview of Pusher#

The Pusher API offers real-time communication capabilities for apps, enabling instant data delivery. With Pipedream, you can harness these features to create dynamic, real-time workflows that react to events, update clients immediately, and synchronize data across users and systems. It's perfect for powering live dashboards, instant notifications, chat applications, and any scenario where you need to push updates quickly and efficiently. Pipedream's serverless platform empowers you to build and run workflows that leverage Pusher's APIs without managing any infrastructure.

Connect Pusher#

module.exports = defineComponent({
  props: {
    pusher: {
      type: "app",
      app: "pusher",
    }
  },
  async run({steps, $}) {
    const Pusher = require('pusher')
    
    const { appId, key, secret, cluster } = this.pusher.$auth
    const pusher = new Pusher({
      appId,
      key,
      secret,
      cluster,
      useTLS: true
    })
    
    await pusher.trigger('my-channel', 'my-event', {
      "message": "hello world"
    })
  },
})

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}}