Habitify

Wanna build your habit for a better life? Get motivated from Habitify.

Integrate the Habitify API with the Go API

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

Run Go Code with Go API on New Habit Created from Habitify API
Habitify + Go
 
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New Habit Created from the Habitify API

Emit new event on each created habit.

 
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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.

 
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Overview of Habitify

The Habitify API lets you interact with your habits and data within the Habitify platform programmatically. By leveraging this API in Pipedream, you can automate custom workflows that help track habits, measure progress, and push notifications, among others. Pipedream's serverless platform makes it easy to connect Habitify with hundreds of other apps to automate complex tasks without writing extensive code.

Connect Habitify

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    habitify: {
      type: "app",
      app: "habitify",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.habitify.me/habits`,
      headers: {
        "Authorization": `${this.habitify.$auth.api_key}`,
      },
    })
  },
})

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)
}