scrapeTwitterLikes.js

/*
	See https://twitter.com/renschler/status/1081666886377619457 for context,
	this gist contains JS snippets you can use one after another to download a csv with your liked tweets.
*/

/* ***************************************************************************** */

/* 
	Scroll to load liked tweets...
	Fist go to your likes page : https://twitter.com/i/likes
	Then scroll down as much as possible, you can use the snippet below to automate the process
	When I ran with maxScroll set to 1200000, that got me ~4400 liked tweets, and browser consumed ~ 4.5 GB of memory.
	You can stop it early by running clearInterval(intervalId)
*/

let maxScroll = 2000000;
function intervalScroll(){
	if (scrollY < maxScroll){
		scrollTo(null, scrollY+6000);
	} else {
		clearInterval(intervalId);
	}
}
let intervalId = setInterval(intervalScroll, 3000);

/* ***************************************************************************** */

/*
	Process liked tweets on page...
	Once done scrolling, you can paste this into the console and it will download a csv file of all liked tweets on the page.
	You can then copy paste the csv into your spreadsheet.
	In google sheets you'll probably need to Data -> Split Text to Columns if the pasted values end up in one column.
*/

let tweets = [];
let regex = /\//g;
let options = { year: 'numeric', month: '2-digit', day: '2-digit', hour:'2-digit', minute:'2-digit', timeZone: 'America/Los_Angeles'}; // trying to match my integromat date format YYYY-MM-DD HH:MM A

[...document.querySelectorAll("div[class*='js-stream-tweet']")].map((node) => {
	let newTweet = {
		handle: node.getAttribute("data-screen-name"),
		link: "https://twitter.com" + node.getAttribute("data-permalink-path"),
		date: new Date(Number(node.querySelector("span[class*='_timestamp']").getAttribute("data-time-ms"))).toLocaleString('ja-JP', options).replace(regex, '-'),
		text: node.querySelector("p[class*='TweetTextSize']").textContent
	};
	tweets.push(newTweet)
})

let csvTweets = tweets.map((tweet)=>{
	return `${tweet.handle},${tweet.link},${tweet.date},${tweet.text.replace(/,/g,"").replace(/\n/g,"")}`
}).reverse().join('\n');

let filename = "likedTweets.csv";
let tweetsBlob = new Blob([csvTweets], {type: 'text/csv'});

let link = document.createElement("a");
let url = URL.createObjectURL(tweetsBlob);
link.setAttribute("href", url);
link.setAttribute("download", filename);
link.style.visibility = 'hidden';
document.body.appendChild(link);
link.click();
document.body.removeChild(link);