Integrate the neetoKB API with the Go API

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

Popular neetoKB and Go Actions#

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 neetoKB#

The neetoKB API enables integration with neetoKB, a knowledge base management service. It allows you to automate the creation, retrieval, updating, and deletion of articles, categories, and sections within your knowledge base. On Pipedream, you can leverage this API to create workflows that streamline content management, collaborate with team members, and synchronize data across multiple platforms. Pipedream's serverless platform also offers real-time processing, event-driven triggers, and connections to hundreds of other apps for extended functionality.

Connect neetoKB#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    neetokb: {
      type: "app",
      app: "neetokb",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.neetokb.$auth.organization_name}.neetokb.com/api/v1/articles`,
      headers: {
        "Content-Type": `application/json`,
        "X-Api-Key": `${this.neetokb.$auth.api_key}`,
      },
      params: {
        term: `test`,
      },
    })
  },
})

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)
}