What do you want to automate

with Automizy and Go?

Prompt, edit and deploy AI agents that connect to Automizy, Go and 2,500+ other apps in seconds.

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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
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.

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)
}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo