Integrate the Appcircle API with the Go API

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

Popular Appcircle 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 Appcircle#

The Appcircle API provides programmatic access to Appcircle's mobile CI/CD features, allowing you to automate build, test, and deployment processes for mobile apps. With it, you can trigger builds, fetch build outputs, manage distribution profiles, and more directly via HTTP requests. Integrating the Appcircle API with Pipedream unlocks a world of automation possibilities, where you can seamlessly connect your mobile app development workflow with other services and internal systems, streamlining your CI/CD pipeline.

Connect Appcircle#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    appcircle: {
      type: "app",
      app: "appcircle",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.appcircle.io/distribution/v2/profiles`,
      headers: {
        Authorization: `Bearer ${this.appcircle.$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)
}