HighLevel

HighLevel is the all-in-one sales & marketing platform that agencies can white-label and resell to their clients.

Integrate the HighLevel API with the Go API

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

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

Overview of HighLevel

The HighLevel API offers a suite of tools for customer relationship management, marketing automation, and business growth. Leveraging this API on Pipedream allows you to automate interactions with leads, manage contacts, and streamline communication workflows. This integration can help you track customer interactions, automate follow-ups, and sync data across platforms, ultimately improving productivity and customer engagement.

Connect HighLevel

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    gohighlevel: {
      type: "app",
      app: "gohighlevel",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://rest.gohighlevel.com/v1/calendars/teams`,
      headers: {
        Authorization: `Bearer ${this.gohighlevel.$auth.api_key}`,
      },
    })
  },
})

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

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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)
}