Integrate the GTmetrix API with the Go API

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

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Popular Ways to Connect GTmetrix with Go#

Run Go Code with Go API on New Test Completed from GTmetrix API

GTmetrix + Go

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Popular GTmetrix and Go Triggers#

New Test Completed from the GTmetrix API

Emit new event when a test is completed in GTMetrix. See the documentation

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Popular GTmetrix and Go Actions#

Get Performance Report with the GTmetrix API

Fetches the most recent performance report for a particular page from GTmetrix. See the documentation

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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.

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Run Performance Test with the GTmetrix API

Run a performance test on a specified URL using GTmetrix. See the documentation

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Overview of GTmetrix#

The GTmetrix API provides an interface to test the loading speed of your website, offering insights into performance issues and potential optimizations. By integrating this API with Pipedream, you can automate performance monitoring, receive alerts, and combine data with other services for in-depth analysis. For instance, you could trigger a performance report after a site update, log results to a spreadsheet for tracking, or compare your metrics against industry standards.

Connect GTmetrix#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    gtmetrix: {
      type: "app",
      app: "gtmetrix",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://gtmetrix.com/api/2.0/status`,
      auth: {
        username: `${this.gtmetrix.$auth.api_key}`,
        password: ``,
      },
    })
  },
})

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)
}

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