Auto-deploy: 2026-06-05 22:54:49
This commit is contained in:
Hamza-Ayed
@@ -44,50 +44,36 @@
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};
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try {
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// 1. Extract Name (Prioritize links over generic spans)
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const profileLinks = Array.from(cardEl.querySelectorAll('a[href*="/in/"]'))
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.filter(a => a.innerText.trim().length > 2 && !a.innerText.includes('LinkedIn'));
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// The most robust way to extract data on LinkedIn is reading the visible text lines.
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// Profile cards always follow: Name -> Degree -> Headline -> Location -> ...
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const rawLines = cardEl.innerText.split('\n').map(s => s.trim()).filter(s => s.length > 1);
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if (profileLinks.length > 0) {
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data.name = profileLinks[0].innerText.trim().split('\n')[0];
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} else {
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const nameEl = cardEl.querySelector('.entity-result__title-text, .search-result__title, span[dir="ltr"]');
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if (nameEl) data.name = nameEl.innerText.trim().split('\n')[0];
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// Remove lines that are just action buttons or connection degrees
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const lines = rawLines.filter(s => {
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const low = s.toLowerCase();
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return !low.includes('degree connection') &&
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!['1st', '2nd', '3rd', '3rd+'].includes(low) &&
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!low.includes('connect') &&
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!low.includes('message') &&
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!low.includes('pending') &&
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!low.includes('follow') &&
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!low.includes('view profile');
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});
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if (lines.length > 0) data.name = lines[0];
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if (lines.length > 1) data.headline = lines[1];
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if (lines.length > 2) data.location = lines[2];
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// Summary is everything else
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if (lines.length > 3) {
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data.summary = lines.slice(3, 8).join(' | ');
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}
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// 2. Extract Headline
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const headlineEl = cardEl.querySelector('.entity-result__primary-subtitle, [class*="subtitle"], .linked-area');
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if (headlineEl) {
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data.headline = headlineEl.innerText.trim();
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}
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// 3. Extract Location
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const locationEl = cardEl.querySelector('.entity-result__secondary-subtitle, .search-result__info');
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if (locationEl) {
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data.location = locationEl.innerText.trim();
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}
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// 4. Extract Summary
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const summaryEl = cardEl.querySelector('.entity-result__summary, .search-result__snippets');
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if (summaryEl) {
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data.summary = summaryEl.innerText.trim();
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}
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// Clean up
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if (data.name) data.name = data.name.replace(/View .* profile/gi, '').trim();
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// Ultimate Fallback: just take the first lines of text in the card
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if (!data.name || data.name.length < 2) {
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const lines = cardEl.innerText.split('\n').map(s => s.trim()).filter(s => s.length > 2 && !s.includes('Degree connection'));
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if (lines.length > 0) data.name = lines[0];
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if (lines.length > 1 && !data.headline) data.headline = lines[1];
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}
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// Final fallback to avoid empty name
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if (!data.name) {
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// Cleanup name if it accidentally caught something weird
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if (data.name && data.name.includes('LinkedIn')) {
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data.name = 'مستثمر محتمل';
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data.summary = cardEl.innerText ? cardEl.innerText.substring(0, 300) : '';
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}
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} catch (e) {
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console.error('[LJA] Extraction failed', e);
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data.name = 'مستثمر محتمل';
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@@ -101,52 +87,36 @@
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function findCards() {
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let cards = [];
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// Method 1: Try common structural wrappers for search results
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let listItems = Array.from(document.querySelectorAll('ul > li'));
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let validListItems = listItems.filter(li => li.innerText.length > 20 && li.querySelector('img'));
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if (validListItems.length > 0) {
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cards = validListItems;
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console.log('[LJA] Found cards via ul > li with images:', cards.length);
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}
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// LinkedIn search results are usually list items with an image and an action button
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let listItems = Array.from(document.querySelectorAll('li, .reusable-search__result-container, .search-entity'));
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// Method 2: Try finding elements containing headlines
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if (cards.length === 0) {
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let subtitles = document.querySelectorAll('.entity-result__primary-subtitle, [class*="subtitle"], .linked-area');
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let validSubtitles = Array.from(subtitles).filter(s => s.innerText.trim().length > 5);
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if (validSubtitles.length > 0) {
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let uniqueCards = new Set();
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validSubtitles.forEach(s => {
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let container = s.closest('li') || s.closest('div[data-chameleon-result-urn]') || s.parentElement.parentElement.parentElement;
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if (container) uniqueCards.add(container);
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});
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cards = Array.from(uniqueCards);
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console.log('[LJA] Found cards via subtitles:', cards.length);
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// Filter to only those that look like profile cards
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let validCards = listItems.filter(el => {
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const txt = el.innerText.toLowerCase();
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// Must have significant text, an image, and a typical LinkedIn action button
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const hasAction = txt.includes('connect') || txt.includes('message') || txt.includes('pending') || txt.includes('follow');
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const hasImage = el.querySelector('img');
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const isNotSidebar = !txt.includes('about') && !txt.includes('accessibility');
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return txt.length > 50 && hasAction && hasImage && isNotSidebar;
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});
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if (validCards.length > 0) {
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cards = validCards;
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console.log('[LJA] Found cards via strict heuristics:', cards.length);
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}
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// Deduplicate cards by their text content to avoid nested matches
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const uniqueCards = [];
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const seenText = new Set();
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for (const card of cards) {
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const txt = card.innerText.trim().substring(0, 100); // use first 100 chars as signature
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if (!seenText.has(txt)) {
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seenText.add(txt);
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uniqueCards.push(card);
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}
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}
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// Method 3: Deep heuristic using profile links
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if (cards.length === 0) {
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let profileLinks = Array.from(document.querySelectorAll('a[href*="/in/"]')).filter(a => a.innerText.trim().length > 3 && !a.querySelector('img'));
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console.log('[LJA] Profile links found:', profileLinks.length);
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let uniqueCards = new Set();
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profileLinks.forEach(link => {
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let container = link.parentElement;
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let bestContainer = null;
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for(let i = 0; i < 8; i++) {
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if (!container) break;
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if (container.innerText.length > 50 && container.querySelectorAll('button').length > 0) {
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bestContainer = container;
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}
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container = container.parentElement;
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}
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if (bestContainer) uniqueCards.add(bestContainer);
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});
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cards = Array.from(uniqueCards);
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console.log('[LJA] Found cards via link heuristics:', cards.length);
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}
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return Array.from(new Set(cards));
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return uniqueCards;
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}
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// ─── Inject UI into Card ─────────────────────────────────────────────────
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