Akeneo

Product information management and data intelligence software

Integrate the Akeneo API with the Go API

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

Create A New Product Media File with the Akeneo API

Allows you to create a new media file and associate it to an attribute value of a given product or product model. See the docs

 
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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 Akeneo

The Akeneo API empowers users to streamline product information management by automating data exchange between Akeneo and other systems. By leveraging Pipedream, you can construct workflows that trigger actions based on events in Akeneo, sync product data across platforms, enhance product information with data from external sources, and keep sales channels up-to-date with the latest catalog details.

Connect Akeneo

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    akeneo: {
      type: "app",
      app: "akeneo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.akeneo.$auth.host}/api/rest/v1`,
      headers: {
        Authorization: `Bearer ${this.akeneo.$auth.oauth_access_token}`,
        "accept": `application/json`,
      },
    })
  },
})

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

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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)
}