Integrate the Pushover API with the Python API

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

Popular Pushover and Python Actions#

Emergency Push Notification with the Pushover API

Sends an Emergency Push Notification to devices with Pushover. Notifications are repeated until they are acknowledged by the user. More information at Pushing Messages and Message Priority

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

Push Notification with the Pushover API

Sends a Push Notification to devices with Pushover. More information at Pushing Messages

Try it

Overview of Pushover#

Pushover makes it easy to send real-time notifications to your Android and iOS devices. By leveraging the Pushover API on Pipedream, you can craft customized messages triggered by various events and send them to users instantly. This integration can be especially useful for monitoring systems, to-do list reminders, or even to keep tabs on your online services and workflows.

Connect Pushover#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pushover: {
      type: "app",
      app: "pushover",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://api.pushover.net/1/messages.json`,
      params: {
        token: `${this.pushover.$auth.api_token}`,
        user: `${this.pushover.$auth.user_key}`,
        message: `test`,
      },
    })
  },
})

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}}