Integrate the Bruzu API with the Go API

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

Popular Bruzu 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

The Bruzu API enables dynamic image generation, allowing for the creation of personalized images with text overlay, custom graphics, and various design elements. These capabilities can be harnessed in serverless workflows within Pipedream to automate marketing campaigns, personalize user engagement, and streamline content creation. By leveraging Pipedream's integration platform, Bruzu's API can be connected to a myriad of services to enrich CRM data, augment social media posts, or create on-the-fly images for e-commerce products.

Connect Bruzu#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bruzu: {
      type: "app",
      app: "bruzu",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://img.bruzu.com/`,
      params: {
        template: `15`,
        "top.text": `Reminder`,
        "middle.text": `This%2520too%2520shall%2520pass`,
        "bottom.text": `OK`,
        "": ``,
        "": ``,
      },
    })
  },
})

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)
}