Integrate the ISN API with the Go API

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

Popular ISN and Go Actions#

Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

Try it

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#

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 Go#

You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.

Connect Go#

package main

import (
	"fmt"

	pd "github.com/PipedreamHQ/pipedream-go"
)

func main() {
	// Access previous step data using pd.Steps
	fmt.Println(pd.Steps)

	// Export data using pd.Export
	data := make(map[string]interface{})
	data["name"] = "Luke"
	pd.Export("data", data)
}