Blink

Create trust and dialogue between frontline workers and executive teams in real-time.

Integrate the Blink API with the Go API

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

Get Feed Event with the Blink API

Get a feed event by external ID. See the documentation

 
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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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Post feed with the Blink API

Send feed events to users. See the documentation

 
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The Blink API allows you to access and manage data within the Blink platform, a hub for team communication and content sharing. Through Pipedream, you can automate workflows that leverage this API to streamline notifications, content distribution, and team interactions. You can create actions that respond to specific triggers, like new messages or updates to content, and connect Blink with other apps to enrich the functionality of your workflows.

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    blink: {
      type: "app",
      app: "blink",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.joinblink.com/v2/user`,
      headers: {
        Authorization: `Bearer ${this.blink.$auth.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)
}