Integrate the Highrise API with the Go API

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

Popular Highrise 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.

Overview of Highrise#

The Highrise API offers a programmatic way to interact with your Highrise CRM data, enabling automated workflows that can save time and improve data consistency. With Pipedream, you can build serverless workflows that trigger on new contact additions, updates to existing contacts, or specific actions like emails received or tasks completed in Highrise. Utilizing Pipedream's ability to integrate with a multitude of other services, you can seamlessly connect Highrise to your broader business processes, such as marketing campaigns, support ticketing systems, or project management tools.

Connect Highrise#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    highrise: {
      type: "app",
      app: "highrise",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.highrise.$auth.subdomain}.highrisehq.com/people/1.xml`,
      auth: {
        username: `${this.highrise.$auth.token}`,
        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)
}