Headless Testing

Headless Testing with Puppeteer and Playwright in the Cloud

Integrate the Headless Testing API with the Go API

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

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 Headless Testing

The Headless Testing API unlocks the power of automated browser tasks, enabling developers to run end-to-end tests in a headless Chrome environment. This service is crucial for continuous integration pipelines, allowing for the execution of scripts that verify the functionality and performance of web applications without the need for a graphical user interface. With Pipedream, you can connect the Headless Testing API to a myriad of other services, triggering automated tests based on specific events, storing results, and even notifying team members about test outcomes.

Connect Headless Testing

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    headless_testing: {
      type: "app",
      app: "headless_testing",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.headlesstesting.com/api/v1/user`,
      params: {
        token: `${this.headless_testing.$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

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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)
}