Integrate the Unsplash API with the Go API

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

Popular Unsplash 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 Unsplash#

The Unsplash API provides programmatic access to a vast library of high-quality, royalty-free images. This enables developers to search for and retrieve photos based on keywords, collections, or featured content. With Pipedream's integration, you can automate tasks like updating social media banners, populating website content with dynamic images, or even analyzing photo metadata for insights. By leveraging Unsplash's API within Pipedream, you can create workflows that trigger on various events, process image data, and interact with countless other apps available on the platform, streamlining your digital asset management and content creation processes.

Connect Unsplash#

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

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)
}