Integrate the Marketplacer API with the Go API

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

Popular Marketplacer 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.

Overview of Marketplacer#

The Marketplacer API offers a suite of functionalities to automate and streamline operations of marketplace businesses, enabling users to manage products, orders, and vendors programmatically. With the ability to integrate into Pipedream, you can harness this API to create custom workflows that react to various triggers, sync data across different platforms, and automate repetitive tasks. Whether you're looking to update inventory, synchronize customer data, or automate communication with vendors, the Marketplacer API coupled with Pipedream's serverless execution model empowers you to build efficient and scalable e-commerce ecosystems.

Connect Marketplacer#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    marketplacer: {
      type: "app",
      app: "marketplacer",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.marketplacer.$auth.api_endpoint}/client/adverts`,
      headers: {
        Authorization: `Bearer ${this.marketplacer.$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)
}