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.

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.

Overview of UptimeRobot#

Using UptimeRobot API, you can build various tools and automation for server
monitoring, memory and performance tracking, and more. With fewer resources,
you can streamline the process of gathering insights to quickly identify
potential problems—freeing up more time to focus on delivering an optimal
service.

The UptimeRobot API can help you:

Monitor web servers and connected systems
Receive real-time notifications of any potential problems
Access detailed performance data such as response time, latency, number of
requests, and more
Automate tests for alerts and record changes in states
Analyse trends over time, such as memory or disk usage
Automate backups or alerts when disk space is low
Create automatic scaling policies for improved resource allocation
Monitor system resources and usage over time to detect outages
Analyze API or network performance across distributed regions
Automate the rollout of new code releases with zero downtime

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#

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

Create automated workflows that run on a specific schedule
Compose workflows across various apps and services
React to events in cloud services or form data
Automatically create content and notifications
Construct classifications and predictions
Analyze and react to sentiment, sentiment analysis and sentiment score
Connect backends to the frontend with serverless functions
Work with files and databases
Perform web requests and fetch data
Integrate third-party APIs into your apps
Orchestrate data processing tasks and pipelines
Create powerful application APIs with authentication and authorization
Design CI/CD pipelines and Continuous Delivery services
Connect databases like MongoDB and MySQL
Monitor connections and events
Generate alerts and notifications for corresponding events

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}}