Integrate the Free Dictionary API with the Go API

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

Popular Free Dictionary and Go Actions#

Get Word Definition with the Free Dictionary API

Get the definition for an English word. See docs here

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 Free Dictionary#

The Free Dictionary API provides a straightforward way to access dictionary definitions, synonyms, antonyms, and translations for words in multiple languages. With it, you can fetch detailed word meanings, usage examples, and phonetic transcriptions, enabling a variety of educational and linguistic automation opportunities on Pipedream. This API is valuable for developers looking to create language learning tools, content enrichment services, or to simply integrate rich lexical data into their applications.

Connect Free Dictionary#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dictionary_api: {
      type: "app",
      app: "dictionary_api",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.dictionaryapi.dev/api/v2/entries/en/<word>`,
    })
  },
})

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)
}