Integrate the EngageBay API with the Go API

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

Popular EngageBay 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

Overview of EngageBay#

EngageBay is a comprehensive customer relationship management (CRM) and marketing automation platform designed to help businesses attract, engage, and convert web visitors into customers. By leveraging the EngageBay API with Pipedream, you can automate intricate tasks, synchronize data across different applications, and create personalized customer experiences. From automating lead capture to syncing contacts and creating custom email campaigns based on user actions, Pipedream's serverless platform enables you to craft workflows that streamline your sales and marketing processes.

Connect EngageBay#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    engagebay: {
      type: "app",
      app: "engagebay",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.engagebay.com/dev/api/panel/users`,
      headers: {
        "Authorization": `${this.engagebay.$auth.api_key}`,
        "Accept": `application/json`,
      },
    })
  },
})

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)
}