Integrate the SilFer Bots API with the Go API

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

Popular SilFer Bots 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 SilFer Bots #

The SilFer Bots API enables the creation and management of chatbots that can be used for automating customer interactions across various messaging platforms. Leveraging Pipedream's strengths, you can develop intricate workflows that respond to events, synchronize data, and facilitate seamless communication between your SilFer Bots and other applications. The API's capabilities include sending messages, managing contacts, and handling bot events, which opens up a plethora of automation opportunities to enhance customer engagement and operational efficiency.

Connect SilFer Bots #

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    silfer_bots: {
      type: "app",
      app: "silfer_bots",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.silferbots.co/user/[USER_ID]`,
      headers: {
        "X-SILFER-ACCESS-TOKEN": `${this.silfer_bots.$auth.api_key}`,
      },
    })
  },
})

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)
}