Freshstatus

Build Branded Public & Private Status Pages

Integrate the Freshstatus API with the Python API

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

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 Freshstatus

Freshstatus by Freshworks is an API that lets you manage incident updates and maintenance events for your services. With it, you can communicate real-time status to your users, schedule maintenance windows, and keep a pulse on your system's health, all programmatically. When integrated with Pipedream, Freshstatus becomes even more powerful, allowing you to automate status updates, sync with your monitoring tools, and trigger notifications across various platforms.

Connect Freshstatus

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    freshstatus: {
      type: "app",
      app: "freshstatus",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://public-api.freshstatus.io/api/v1/services/`,
      headers: {
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.freshstatus.$auth.username}`,
        password: `${this.freshstatus.$auth.subdomain}`,
      },
    })
  },
})

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}}