Integrate the Gitter API with the Go API

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

Popular Gitter 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 Gitter#

The Gitter API enables your bots to perform automated actions within Gitter chat rooms. From sending messages to fetching conversation histories, the Gitter API serves as a bridge to interact with Gitter programmatically. With Pipedream, you can harness this API to create custom workflows that trigger on specific events in Gitter, process data, and connect to countless other services to achieve a wide array of tasks. These can range from notifications and chatbots to complex integrations with project management tools or CRMs.

Connect Gitter#

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