LinkedIn Cleaner

Only show actual posts on your feed and not likes / comments / reposts.

You will need to install an extension such as Tampermonkey, Greasemonkey or Violentmonkey to install this script.

You will need to install an extension such as Tampermonkey to install this script.

You will need to install an extension such as Tampermonkey or Violentmonkey to install this script.

You will need to install an extension such as Tampermonkey or Userscripts to install this script.

You will need to install an extension such as Tampermonkey to install this script.

You will need to install a user script manager extension to install this script.

(I already have a user script manager, let me install it!)

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You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

(I already have a user style manager, let me install it!)

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// ==UserScript==
// @name         LinkedIn Cleaner
// @namespace    http://tampermonkey.net/
// @version      2024-03-10
// @description  Only show actual posts on your feed and not likes / comments / reposts.
// @author       You
// @match        https://www.linkedin.com/
// @match        https://www.linkedin.com/feed/
// @icon         data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==
// @license      MIT
// ==/UserScript==

(function() {
    'use strict';
    let observer = null;

    function is_a_match(element_text) {
        if (element_text.endsWith('celebrates this') ||
            element_text.endsWith('finds this insightful') ||
            element_text.endsWith('Suggested') ||
            element_text.endsWith('loves this') ||
            element_text.endsWith('supported this') ||
            element_text.endsWith('reposted this') ||
            element_text.endsWith('likes this')) {
            return true;
        } else {
            return false;
        }
    }

    function cleanup_feed_skips() {
        let post_headers = document.getElementsByClassName("update-components-header__text-wrapper");
        for (let i = 0; i < post_headers.length; i++) {
            if (is_a_match(post_headers[i].innerText)) {
                post_headers[i].parentNode.parentNode.parentNode.parentNode.parentNode.parentNode.parentNode.remove();
            }
        }
    }

    function cleanup() {
        cleanup_feed_skips();
    }

    function startObserver() {
        observer = new MutationObserver(mutations => {
            for(let mutation of mutations) {
                if ((mutation.target.className === 'relative') || (mutation.target.className == 'visually-hidden')) {
                    cleanup();
                }
            }
        });

        observer.observe(document.querySelector('[aria-label="Main Feed"]'), {childList: true, subtree: true});
        cleanup();
    }


    window.onload = () => {
        setTimeout(() => {
            startObserver();
        }, 1000);
    }
})();