Integrate the Occasion API with the Go API

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

Popular Occasion 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 Occasion#

The Occasion API provides a suite of tools to manage and automate event booking and scheduling. Through Pipedream, you can harness this API to create powerful automations by triggering workflows based on booking activity, syncing event data with other services, managing customer information, and more. Utilizing Pipedream's capability to connect with hundreds of apps, you can extend the functionality of the Occasion API to streamline operations, enhance customer experiences, and leverage event data in innovative ways.

Connect Occasion#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    occasion: {
      type: "app",
      app: "occasion",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.getoccasion.com/api/v1/merchants`,
      auth: {
        username: `${this.occasion.$auth.api_login}`,
        password: `${this.occasion.$auth.api_secret}`,
      },
    })
  },
})

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)
}