Integrate the UptimeRobot API with the Python API

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

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular UptimeRobot and Python Actions#

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 UptimeRobot#

The UptimeRobot API allows you to monitor the uptime of websites and services, sending alerts for any downtime detected. With Pipedream, you can harness this API to create tailored notifications, generate uptime reports, and synchronize with incident management tools. By leveraging Pipedream's capabilities, you can integrate UptimeRobot with a myriad of services to automate responses to uptime changes, streamline communication processes, and maintain a pulse on your web infrastructure's health.

Connect UptimeRobot#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    uptimerobot: {
      type: "app",
      app: "uptimerobot",
    }
  },
  async run({steps, $}) {
    const data = {
      "api_key": `${this.uptimerobot.$auth.api_key}`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.uptimerobot.com/v2/getAccountDetails`,
      data,
    })
  },
})

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}}

Start for free — no credit card required

Watch a demo