Integrate the Amazon API with the Go API

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

Popular Amazon 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 Amazon#

The Amazon API allows for robust interaction with Amazon's vast e-commerce platform. With Pipedream, you can harness this API to automate a variety of tasks, such as tracking price changes, managing inventory, or automating the buying process. By integrating the Amazon API with Pipedream's capabilities, you can set up custom workflows that respond to specific triggers or events. This could range from sending notifications when a product's price drops to automatically placing orders for items that are low in stock.

Connect Amazon#

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

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)
}