What do you want to automate

with HUB Planner and Go?

Prompt, edit and deploy AI agents that connect to HUB Planner, 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 HUB Planner API with the Go API
Setup the HUB Planner API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate HUB Planner and Go remarkably fast. Free for developers.

Overview of HUB Planner

The HUB Planner API is a toolset for managing resources, projects, and bookings in a visual and interactive way. By using the API with Pipedream, you can automate complex workflows, sync data across multiple platforms, and create custom integrations to streamline operations. From scheduling resources to analyzing project data, the opportunities are vast for enhancing project management efficiency.

Connect HUB Planner

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    hub_planner: {
      type: "app",
      app: "hub_planner",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.hubplanner.com/v1/project`,
      headers: {
        "Authorization": `${this.hub_planner.$auth.api_key}`,
        "Accept": `application/json`,
        "Content-Type": `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