Integrate the UrlBae API with the Go API

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

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Popular UrlBae and Go Actions#

Create QRCode with the UrlBae API

Creates a qrcode. 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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Shorten URL with the UrlBae API

Creates a shorten URL. See the documentation

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Overview of UrlBae#

The UrlBae API lets you shorten URLs, making them easier to share and manage. You can generate compact links, track clicks, and gather data on link engagement within your workflows on Pipedream. By leveraging UrlBae in Pipedream, you can automate the process of creating, distributing, and analyzing short links across various platforms, enhancing both marketing efforts and user experience.

Connect UrlBae#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    urlbae: {
      type: "app",
      app: "urlbae",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://urlbae.com/api/account`,
      headers: {
        Authorization: `Bearer ${this.urlbae.$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#

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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