What do you want to automate

with Breezy HR and Go?

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

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

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

Overview of Breezy HR

Breezy HR's API unlocks the power to streamline recruitment processes by automating routine tasks and integrating with a multitude of other apps. With this API on Pipedream, you can craft custom workflows to manage candidates, coordinate interview schedules, trigger communications, and track the hiring pipeline effortlessly. By harnessing data from Breezy HR, you can enhance efficiency, reduce manual errors, and keep the entire hiring team on the same page.

Connect Breezy HR

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    breezy_hr: {
      type: "app",
      app: "breezy_hr",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.breezy.hr/v3/user`,
      headers: {
        "Content-Type": `application/json`,
        "Authorization": `${this.breezy_hr.$auth.oauth_access_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)
}

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