Integrate the Polly API with the Go API

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

Popular Polly 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.

The Polly API allows you to automate and personalize the creation of images for marketing campaigns, emails, and web content. It provides the capability to dynamically generate images with custom text, fonts, and other variables at scale. Specifically in Pipedream, you can harness this API to craft on-the-fly marketing assets that are tailored to individual recipients or audience segments, integrate with email services to deliver personalized images within newsletters, or trigger image creation based on specific events or actions taken by your users.

Connect Polly#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    polly: {
      type: "app",
      app: "polly",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://app.polly.ai/api/workflows.trigger`,
      params: {
        "X-API-TOKEN": `${this.polly.$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)
}