Integrate the API.Bible API with the Go API

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

Popular API.Bible and Go Actions#

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.

Overview of API.Bible#

The API.Bible service allows you to integrate a vast collection of Bible translations into your applications, providing access to verses, chapters, and even audio Bibles. With API.Bible on Pipedream, you can build serverless workflows that automate tasks such as daily verse delivery, content search and retrieval, scripture comparison across translations, or the integration of scripture into educational or devotional apps. Pipedream's capability to connect with various other apps and services means you can seamlessly integrate scripture content into chatbots, social media posts, email campaigns, and more.

Connect API.Bible#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    api_bible: {
      type: "app",
      app: "api_bible",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.scripture.api.bible/v1/bibles`,
      headers: {
        "api-key": `${this.api_bible.$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#

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)
}