Integrate the BrowserStack API with the Go API

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

Popular BrowserStack 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 BrowserStack#

The BrowserStack API allows you to automate web and mobile application testing by providing instant access to multiple desktop and mobile browsers. With this API, you can manage your tests, integrate with CI/CD pipelines, and get real-time results from your testing environment. Whether you're looking to streamline your development workflow, or automate repetitive testing tasks, BrowserStack's API via Pipedream provides the flexibility to tailor your testing processes and feedback loops for efficiency and thorough coverage.

Connect BrowserStack#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    browserstack: {
      type: "app",
      app: "browserstack",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api-cloud.browserstack.com/app-automate/plan.json`,
      auth: {
        username: `${this.browserstack.$auth.user_name}`,
        password: `${this.browserstack.$auth.access_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)
}