Integrate the Larger.io API with the Go API

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

Popular Larger.io 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 Larger.io#

The Larger.io API taps into extensive data on technologies used by websites around the globe. With this API, you can detect the web technologies and tools employed by various online domains. This is particularly helpful for competitive analysis, market research, and lead generation. By leveraging Pipedream's serverless platform, you can create automated workflows that respond to specific triggers, analyze data with built-in code steps, and interact with an array of apps to streamline business processes.

Connect Larger.io#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    larger_io: {
      type: "app",
      app: "larger_io",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.larger.io/v1/search/key/${this.larger_io.$auth.api_key}?domain=gandi.net`,
    })
  },
})

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)
}