Integrate the TinyURL API with the Go API

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

Popular TinyURL 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 TinyURL#

The TinyURL API lets you shorten URLs seamlessly, which can be particularly useful when dealing with lengthy or complex web addresses. With Pipedream, you can integrate the TinyURL API to create concise, manageable links that can be easily shared, tracked, or embedded in various digital content. Beyond simple URL shortening, using Pipedream's serverless platform enables you to automate workflows that involve generating, distributing, and monitoring TinyURLs in conjunction with other apps and services.

Connect TinyURL#

module.exports = defineComponent({
  props: {
    tinyurl: {
      type: "app",
      app: "tinyurl",
    }
  },
  async run({steps, $}) {
    return (await require("@pipedream/platform").axios($, {
      url: `https://api.tinyurl.com/create/`,
      method: `post`,
      headers: {
        Authorization: `Bearer ${this.tinyurl.$auth.api_token}`,
      },
      data: {
        url: `ftp://www.example.com/my-really-long-link-that-I-need-to-shorten/84378949`,
      }
    })).data
  },
})

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)
}