Pinboard

Fast, no-nonsense bookmarking site with no ads and no third-party tracking

Integrate the Pinboard API with the Go API

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

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 Pinboard

The Pinboard API on Pipedream allows for the automation of social media content curation and sharing by interacting with a user's Pinboard account. This API provides the ability to programmatically add, update, and retrieve bookmarks, enabling users to streamline their bookmark management. Leveraging Pipedream's capabilities, developers can create sophisticated workflows that react to various triggers, manipulate data, and connect to numerous other services to enhance productivity and data management.

Connect Pinboard

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pinboard: {
      type: "app",
      app: "pinboard",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pinboard.in/v1/posts/update`,
      params: {
        auth_token: `${this.pinboard.$auth.api_token}`,
      },
    })
  },
})

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)
}