PokéAPI

The RESTful Pokémon API

Integrate the PokéAPI API with the Go API

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

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 PokéAPI

The PokéAPI API offers a treasure trove of data for Pokémon enthusiasts, providing detailed information on Pokémon species, abilities, moves, and much more. Leveraging this API within Pipedream allows you to craft creative automations that can engage fans, enhance gaming experiences, and organize Pokémon data efficiently. With the serverless platform that Pipedream provides, you can set up event-driven workflows, connect to a myriad of other services, and automate tasks that respond in real-time to changes in the PokéAPI data.

Connect PokéAPI

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pokeapi: {
      type: "app",
      app: "pokeapi",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://pokeapi.co/api/v2/pokemon/ditto`,
    })
  },
})

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

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
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)
}