Instapaper

Instapaper saves web pages to read later

Integrate the Instapaper API with the Go API

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

Add URL with the Instapaper API

Adds a URL to an Instapaper account. 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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Overview of Instapaper

The Instapaper API offers a streamlined way to interact with saved articles. With it, you can automate your reading list management by adding new items, moving through folders, or marking them as read or unread. Integrating the Instapaper API with Pipedream lets you create custom workflows, triggering actions in Instapaper or other apps based on specific conditions or schedules.

Connect Instapaper

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    instapaper: {
      type: "app",
      app: "instapaper",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.instapaper.com/api/authenticate`,
      auth: {
        username: `${this.instapaper.$auth.username}`,
        password: `${this.instapaper.$auth.password}`,
      },
    })
  },
})

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)
}