UptimeRobot

The world's leading uptime monitoring service.

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.

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Create Alert Contact with the UptimeRobot API

Create a new alert contact. See the documentation.

 
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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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Create Monitor with the UptimeRobot API

Create a new monitor. See the documentation.

 
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Update Monitor Status with the UptimeRobot API

Update an existing monitor's status to pause or resume monitoring. See the documentation.

 
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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

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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

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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}}

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

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo