Automizy

Email Marketing Automation Software

Integrate the Automizy API with the Go API

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

The Automizy API provides a platform for automating email marketing campaigns, managing contacts, and analyzing the effectiveness of your email strategies. By leveraging this API within Pipedream, you can create dynamic, serverless workflows that respond to various triggers, such as user behavior or external events, to send personalized emails, segment contacts based on interactions, and synchronize subscriber data across various platforms.

Connect Automizy

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    automizy: {
      type: "app",
      app: "automizy",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://gateway.automizy.com/v2/smart-lists`,
      headers: {
        Authorization: `Bearer ${this.automizy.$auth.api_token}`,
        "Content-Type": `application/json`,
        "Accept": `application/json`,
      },
    })
  },
})

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)
}