Integrate the SSLMate — Cert Spotter API API with the Python API

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

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular SSLMate — Cert Spotter API 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.

Try it

Overview of SSLMate — Cert Spotter API#

The SSLMate — Cert Spotter API allows you to monitor SSL/TLS certificates across the web, catching potentially misissued certs and identifying certificates that could affect your domain security. By tapping into the API with Pipedream, you can automate alerts, integrate certificate data into security analyses, and streamline compliance checks by reacting to newly issued certificates in real-time.

Connect SSLMate — Cert Spotter API#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sslmate_cert_spotter_api: {
      type: "app",
      app: "sslmate_cert_spotter_api",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.certspotter.com/v1/issuances`,
      headers: {
        Authorization: `Bearer ${this.sslmate_cert_spotter_api.$auth.api_key}`,
      },
      params: {
        domain: `example.com`,
      },
    })
  },
})

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}}

Start for free — no credit card required

Watch a demo