ISN

The Inspection Support Network is the world leader in connecting, streamlining & automating all aspects of running any #InspectionBusiness.

Integrate the ISN API with the Python API

Setup the ISN API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate ISN 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 ISN

The ISN API (Inspection Support Network) offers a robust interface for accessing and managing data related to property inspections - Think of it as the digital toolbox for inspection professionals. By integrating with Pipedream, you can use triggers and actions to automate tasks, sync data across other apps, and streamline your inspection workflows. From automatically scheduling inspections based on customer input to syncing inspection results with CRM platforms, the efficiency gains are substantial.

Connect ISN

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    isn: {
      type: "app",
      app: "isn",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://inspectionsupport.com/${this.isn.$auth.company_key}/rest/me`,
      auth: {
        username: `${this.isn.$auth.username}`,
        password: `${this.isn.$auth.password}`,
      },
    })
  },
})

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}}