Amazon Advertising

Ad solutions to help you find, attract, and engage millions of Amazon customers at every stage of their journey

Integrate the Amazon Advertising API with the Go API

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

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 Amazon Advertising

The Amazon Advertising API provides programmatic access to advertising data such as campaign performance, keyword insights, and budget management for marketers and developers. Leveraging it with Pipedream, you can automate complex advertising tasks, sync campaign data with your database, and integrate with other marketing tools to enhance your advertising strategies.

Connect Amazon Advertising

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

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

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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)
}