with Linkish and Python?
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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.
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
})
},
})
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:
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}}