Integrate the Lighthouse API with the Python API

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

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Popular Ways to Connect Lighthouse with Python#

Run Python Code with Python API on New Message Created from Lighthouse API

Lighthouse + Python

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Run Python Code with Python API on New Milestone Created from Lighthouse API

Lighthouse + Python

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Run Python Code with Python API on New Project Created from Lighthouse API

Lighthouse + Python

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Run Python Code with Python API on New Ticket Created from Lighthouse API

Lighthouse + Python

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Popular Lighthouse and Python Triggers#

New Message Created from the Lighthouse API

Emit new event for each new message created.

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New Milestone Created from the Lighthouse API

Emit new event for each new milestone created.

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New Project Created from the Lighthouse API

Emit new event for each new project created.

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New Ticket Created from the Lighthouse API

Emit new event for each new ticket created.

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Popular Lighthouse and Python Actions#

Create Milestone with the Lighthouse API

Creates a milestone. See docs here

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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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Create Project with the Lighthouse API

Creates a project. See docs here

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Create Ticket with the Lighthouse API

Creates a ticket. See docs here

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Overview of Lighthouse#

The Lighthouse API provides a window into the world of SSL/TLS certificates. It lets you monitor and track certificates issued for specific domains, offering invaluable insights for security and compliance. By leveraging this API within Pipedream, you can automate certificate tracking, set up alerts for new certificates, and integrate this data with other services for a comprehensive view of your domain's security posture.

Connect Lighthouse#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    lighthouse: {
      type: "app",
      app: "lighthouse",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.lighthouse.$auth.domain}.lighthouseapp.com/profile.json`,
      headers: {
        "X-LighthouseToken": `${this.lighthouse.$auth.api_token}`,
        "Content-type": `application/json`,
      },
    })
  },
})

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}}

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