Invoice Ninja

Open-source online invoicing app for freelancers & businesses

Integrate the Invoice Ninja API with the Go API

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

The Invoice Ninja API lets you create, view, update, and delete elements of your invoicing process such as invoices, clients, payments, and products. Leveraging this API on Pipedream allows you to automate invoice generation, synchronize client data across platforms, and trigger actions based on payment statuses. With Pipedream's serverless platform, you can connect Invoice Ninja to numerous apps and orchestrate workflows that save time, reduce errors, and enhance data consistency.

Connect Invoice Ninja

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    invoice_ninja: {
      type: "app",
      app: "invoice_ninja",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.invoice_ninja.$auth.domain}/api/v1/clients`,
      headers: {
        "X-Ninja-Token": `${this.invoice_ninja.$auth.api_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)
}