Statuscake

Own a website? You need StatusCake. Page speed, domain, server, SSL, & uptime monitoring to drive revenue.

Integrate the Statuscake API with the Python API

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

Run Python Code with Python API on New Uptime Alert from Statuscake API
Statuscake + Python
 
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Run Python Code with Python API on New Uptime from Statuscake API
Statuscake + Python
 
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New Uptime from the Statuscake API

Emit new event for each uptime created.

 
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New Uptime Alert from the Statuscake API

Emit new event on each new uptime alert.

 
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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 Statuscake

StatusCake provides a powerful API that allows you to automate the monitoring of your websites and servers. With this API on Pipedream, you can create workflows that respond to uptime events, performance metrics, and maintain a robust oversight of your web infrastructure's health. The API enables you to automate alerting, integrate with other tools for a seamless DevOps ecosystem, and perform actions based on the status of your monitored endpoints.

Connect Statuscake

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    statuscake: {
      type: "app",
      app: "statuscake",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.statuscake.com/v1/contact-groups`,
      headers: {
        Authorization: `Bearer ${this.statuscake.$auth.api_key}`,
      },
    })
  },
})

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}}