Updown.io
updown.io is a HTTP(S)/TCP/ICMP monitoring service which checks periodically the URL you want and reports back any anomaly, be it downtime, bad response, degraded performance or even broken SSL certificate.
Integrate the Updown.io API with the Python API
Setup the Updown.io API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Updown.io and Python remarkably fast. Free for developers.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular Updown.io and Python Triggers#
Emit new event when a website check reports as down. See the documentation
Emit new event when a new webhook event occurs. See the documentation
Emit new event when an SSL certificate expiration is detected See the documentation
Popular Updown.io and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Updown.io#
The Updown.io API allows you to interact programmatically with your website monitoring service. With this API, you can automate uptime checks, retrieve the status of your websites, manage checks, receive downtime alerts, and gather performance metrics. Integrating the Updown.io API with Pipedream enables you to create automated workflows that can respond to events, monitor services continuously, and connect with other apps to trigger actions based on the health and performance of your websites.
Connect Updown.io#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
updown_io: {
type: "app",
app: "updown_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://updown.io/api/nodes`,
params: {
"api-key": `${this.updown_io.$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#
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