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.

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#

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#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

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}}