Linkish

All in one bookmarking manager

Integrate the Linkish API with the Python API

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

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
Try it

Overview of Linkish

Linkish is a versatile API that enables developers to create a wide variety of
applications. Some examples of what can be built using Linkish include:

  • Social networking applications
  • Content sharing websites
  • File sharing and storage applications
  • E-commerce platforms
  • Application and website security solutions
  • Developers can also use Linkish to create entirely new types of applications
    not yet imagined!

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 Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}