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 allows developers to access data stored in the ISN system. This
data includes information on properties, inspections, vendors, and more. Using
the ISN API, developers can build applications that allow users to view and
manipulate this data.

Some examples of applications that can be built using the ISN API include:

  • A property management application that allows users to view and update
    property information
  • An inspection scheduling application that allows users to schedule and track
    inspections
  • A vendor management application that allows users to view and update vendor
    information

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

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

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}}