Integrate the Pingdom API with the Python API

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

Popular Ways to Connect Pingdom with Python#

Run Python Code with Python API on New Alert from Pingdom API

Pingdom + Python

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Run Python Code with Python API on New Check Created from Pingdom API

Pingdom + Python

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Popular Pingdom and Python Triggers#

New Alert from the Pingdom API

Emit new event when a new alert occurs. See the documentation

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New Check Created from the Pingdom API

Emit new event when a new check is added in Pingdom. See the documentation

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Popular Pingdom and Python Actions#

Create HTTP Check with the Pingdom API

Creates a new HTTP check in Pingdom. 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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Overview of Pingdom#

The Pingdom API offers a suite of endpoints to monitor the uptime, performance, and interactions for websites and web applications. With this API, you can automate the retrieval of monitor statuses, alerts, and performance data. Integrating Pingdom with Pipedream allows developers to create custom workflows that can notify teams of incidents, track performance metrics, or even trigger actions based on website status changes.

Connect Pingdom#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pingdom: {
      type: "app",
      app: "pingdom",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pingdom.com/api/3.1/checks`,
      headers: {
        "Authorization": `Bearer ${this.pingdom.$auth.api_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}}