Integrate the Chatforma API with the Go API

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

Popular Chatforma 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 Chatforma#

Chatforma is an API that opens up a world of possibilities in chatbot creation and management, allowing businesses to automate interactions with customers across various platforms. With Chatforma, you can design, deploy, and track chatbots that handle customer service, feedback collection, and more, streamlining your communication processes and providing valuable analytical insights. Leveraging Pipedream’s integration capabilities, you can efficiently tie Chatforma into a multitude of systems and services, creating custom workflows that enhance your chatbot's utility and extend its reach.

Connect Chatforma#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    chatforma: {
      type: "app",
      app: "chatforma",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pro.chatforma.com/public/v1/auth-test`,
      params: {
        api_key: `${this.chatforma.$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#

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)
}