Integrate the SWAPI - Star Wars API with the Go API

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

Popular SWAPI - Star Wars and Go Actions#

Get Film with the SWAPI - Star Wars API

Get a film

Try it

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

Overview of SWAPI - Star Wars#

The SWAPI - Star Wars API is a treasure trove of structured data from the Star Wars universe. It's a go-to resource for fetching information about planets, spaceships, vehicles, people, films, and species from the iconic franchise. Using Pipedream, you can harness this data to create automations and workflows that trigger based on specific criteria from SWAPI. For instance, you could set up a workflow that notifies you when new data is added, enrich customer profiles with their favorite Star Wars characters, or even use it for trivia games by pulling random facts.

Connect SWAPI - Star Wars#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    swapi: {
      type: "app",
      app: "swapi",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://swapi.dev/api/films/1/`,
    })
  },
})

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)
}