SWAPI - Star Wars

The Star Wars API

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.

Get Film with the SWAPI - Star Wars API

Get a film

 
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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 SWAPI - Star Wars

The SWAPI (Star Wars API) provides a wealth of data about the Star Wars
universe to build applications. With the SWAPI, developers can access detailed
Star Wars related data about people, planets, films, species and much more.
From web and mobile applications to data analysis, the possibilities are
limitless.

Here are a few examples of what developers can build using the SWAPI:

  • Create a Star Wars encyclopedia to document the Star Wars universe and its
    characters.
  • Design a custom interactive map to explore the planets of the Star Wars
    universe.
  • Analyze the data to uncover patterns and insights about Star Wars films,
    characters, and species.
  • Design a search engine to query Star Wars related data.
  • Create a mobile app that displays information about the characters, films and
    species in the Star Wars universe.
  • Design a live score system specialized in providing stats related to the Star
    Wars films and characters.

Connect SWAPI - Star Wars

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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/`,
    })
  },
})

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)
}