Integrate the HappyFox Chat API with the Go API

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

Popular HappyFox Chat 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 HappyFox Chat#

The HappyFox Chat API equips you with the capability to enhance customer support interactions by automating chat-related tasks, extracting chat data for analysis, and connecting chat events with other business tools. By leveraging this API with Pipedream's serverless platform, you can create powerful workflows that respond to chat events in real-time, synchronize chat data across platforms, and augment your support system with advanced features like dynamic responses or customer satisfaction analysis.

Connect HappyFox Chat#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    happyfox_chat: {
      type: "app",
      app: "happyfox_chat",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.happyfoxchat.com/v1/agents`,
      headers: {
        Authorization: `Bearer ${this.happyfox_chat.$auth.api_token}`,
      },
    })
  },
})

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)
}