Propeller

Digitize all your buyer-seller interactions

Integrate the Propeller API with the Go API

Setup the Propeller API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Propeller 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 Propeller

Propeller API offers a powerful suite of e-commerce tools enabling businesses to streamline their online sales processes. With the Propeller API, you can manage products, orders, customers, and inventory in real-time. Automating these e-commerce operations through Pipedream allows for seamless integration with other services, such as CRMs, email marketing platforms, and accounting software, to create a cohesive ecosystem for your online business.

Connect Propeller

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    propeller: {
      type: "app",
      app: "propeller",
    }
  },
  async run({steps, $}) {
    const data = {
      "status": `NEW`,
    }
    return await axios($, {
      method: "post",
      url: `${this.propeller.$auth.base_path}orders/search`,
      headers: {
        Authorization: `Bearer ${this.propeller.$auth.oauth_access_token}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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)
}