ReCharge

Subscriptions & Recurring Payments for Ecommerce

Integrate the ReCharge API with the Go API

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

The ReCharge API is a powerful tool for integrating subscription billing
services into existing applications and building out new ones. By connecting
your application directly to ReCharge, you can leverage the functionality of
ReCharge to create a powerful back-end solution for managing the subscription
payment lifecycle. With ReCharge, merchants can design and automate complex
billing workflows to eliminate manual processes and deliver superior customer
experiences.

Below are some examples of what you can do with the ReCharge API:

  • Manage customers and their subscription information
  • Support recurring and one-time payments
  • Generate invoices and accept payments
  • Automate the subscription management process
  • Create and manage promotions
  • Leverage the API for analytics and reporting
  • Integrate with payment and fraud protection solutions

Connect ReCharge

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    recharge: {
      type: "app",
      app: "recharge",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.rechargeapps.com/customers`,
      headers: {
        "X-Recharge-Access-Token": `${this.recharge.$auth.api_key}`,
      },
    })
  },
})

Connect Go

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
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)
}