Pushsafer

Send & receive of Push Notifications

Integrate the Pushsafer API with the Python API

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

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

Overview of Pushsafer

Pushsafer is an API that enables real-time notifications to your devices. With Pushsafer, you can send customized messages to Android, iOS, and Windows devices, quickly and efficiently. When integrated with Pipedream, this API can serve as the linchpin for a vast array of automation workflows, allowing for immediate alerts based on triggers from countless services and applications. Imagine getting notifications for new sales leads, system downtimes, or even receiving reminders for upcoming events - All of this becomes seamless with Pushsafer on Pipedream.

Connect Pushsafer

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pushsafer: {
      type: "app",
      app: "pushsafer",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.pushsafer.com/api`,
      params: {
        "k": `${this.pushsafer.$auth.private_key}`,
        "d": `${this.pushsafer.$auth.device}`,
        "m": `Message / text of the push notification`,
      },
    })
  },
})

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

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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}}