Integrate the Pushbullet API with the Python API

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

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Popular Pushbullet and Python Actions#

Delete push with the Pushbullet API

Delete a push. See docs here

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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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Send push (Note, Link and File) with the Pushbullet API

Send a push to a device or another person. See docs here

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Overview of Pushbullet#

Pushbullet acts as a bridge, connecting your devices with push notifications and file sharing capabilities. By leveraging the Pushbullet API on Pipedream, you can automate notifications for a host of events, enabling real-time alerts on your phone, browser, or desktop. Whether you're monitoring server uptimes, tracking sales, or simply staying on top of to-do lists, integrating Pushbullet with other services via Pipedream workflows can streamline your notification management and data sharing tasks.

Connect Pushbullet#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pushbullet: {
      type: "app",
      app: "pushbullet",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pushbullet.com/v2/users/me`,
      headers: {
        Authorization: `Bearer ${this.pushbullet.$auth.oauth_access_token}`,
      },
    })
  },
})

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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