Linkish

All in one bookmarking manager

Integrate the Linkish API with the Node API

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

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Run Node Code with the Node API

Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.

 
Try it

Overview of Linkish

Linkish is a versatile API that enhances the way you handle web links. It allows you to organize, preview, and optimize web links with features such as URL shortening, web page metadata retrieval, and link previews with screenshots. With Pipedream, you can create powerful automations by connecting Linkish to other services to streamline content sharing, web research, and digital marketing workflows.

Connect Linkish

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module.exports = defineComponent({
  props: {
    linkish: {
      type: "app",
      app: "linkish",
    }
  },
  async run({steps, $}) {
    const axios = require('axios');
    let access_token = "";
    
    // Card details
    let type = "link", // either "link" or "text"
    		url = "https://www.youtube.com/watch?v=dQw4w9WgXcQ", // required if "type" is "link"
    		title = "", // card title, if empty it will be scraped from "url"
    		description = "", // card description, if empty it will be scraped from "url"
    		thumbnail = "", // preview image URL, if empty it will be scraped from "url"
    		parent = "", // collections[index].id recieved from get-collection API
    		tags = []; // an array of strings, items can also have comma separated strings
    
    // Get access token based on the linkish API key
    return await axios({
    	method  : "POST", 
    	url: "https://api.linkish.io/get-token",
    	data : JSON.stringify({
    		"api_key": this.linkish.$auth.api_key
    	}),
    	headers: {
    		"Content-Type": "application/json",
    		"Accept": "application/json",
    	}
    }).then(async (response) => {
    
    	// Get collections based on the access token
    	access_token = response.data.token;
    	return await axios({
    		method  : "GET",
    		url: "https://api.linkish.io/get-collections",
    		headers: {
    			"Authorization": `Bearer ${access_token}`,
    		}
    	})
    
    }).then((response) => {
    
    	// Return the data as the step export
    	return response.data;
    
    }).then(async (collections) => {
    
    	// Change parent collection ID here or keep it empty for adding links to root collection
    	parent = collections[0].id;
    
    	// Save link in linkish dashboard
    	return await axios({
    		method  : "POST",
    		url: "https://api.linkish.io/save-link",
    		data : JSON.stringify({
    			"type": type,
    			"url": url,
    			"title": title,
    			"desc": description,
    			"thumbnail": thumbnail,
    			"parent": parent,
    			"tags": tags,
    		}),
    		headers: {
    			"Authorization": `Bearer ${access_token}`,
    			"Content-Type": "application/json",
    			"Accept": "application/json",
    		}
    	})
    
    }).then((response) => {
    
    	// Return the data as the step export
    	return response.data
    
    })
  },
})

Overview of Node

Develop, run and deploy your Node.js code in Pipedream workflows, using it between no-code steps, with connected accounts, or integrate Data Stores and File Stores.

This includes installing NPM packages, within your code without having to manage a package.json file or running npm install.

Below is an example of installing the axios package in a Pipedream Node.js code step. Pipedream imports the axios package, performs the API request, and shares the response with subsequent workflow steps:

Connect Node

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// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
  async run({ steps, $ }) {
    // Return data to use it in future steps
    return steps.trigger.event
  },
})

Community Posts

Automate checking a ticket system's availability with Node.js and Pipedream
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Adyen logo
Appcues logo
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LinkedIn logo
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Replicated logo
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