Auto-deploy: 2026-08-05 18:11:15

content.js

@@ -48,25 +48,6 @@
       return '';
     }
 
-    // ── Job Title (many fallbacks)
-    data.jobTitle = trySelectors([
-      '.job-details-jobs-unified-top-card__job-title h1 a',
-      '.job-details-jobs-unified-top-card__job-title h1',
-      '.jobs-unified-top-card__job-title h1',
-      '.jobs-unified-top-card__job-title',
-      '.job-details-jobs-unified-top-card__job-title',
-      'h2.job-details-jobs-unified-top-card__job-title',
-      '.jobs-unified-top-card__job-title a',
-      'h1.t-24',
-      'h1.t-18',
-      'h1[class*="job-title"]',
-      'h2[class*="job-title"]',
-      '.t-24.t-bold',
-      '.top-card-layout__title',
-      'a[class*="topcard__title"]',
-      '.topcard__title',
-    ]);
-
     // LinkedIn's job panel is full of text that is neither navigation nor the
     // job title: screen-reader-only headings ("0 notifications"), and product
     // furniture inside the detail column itself ("Are these results helpful?",
@@ -98,33 +79,54 @@
       return text.length > 4 && text.length < 100 && !NAV_NOISE.test(text);
     }
 
-    // Preferred fallback 1: Extract from active job link using currentJobId
-    if (!data.jobTitle) {
-      let currentJobId = new URLSearchParams(window.location.search).get('currentJobId');
-      if (!currentJobId) {
-        const match = window.location.pathname.match(/\/jobs\/view\/(\d+)/);
-        if (match) currentJobId = match[1];
-      }
-      if (currentJobId) {
-        const links = document.querySelectorAll(`a[href*="/jobs/view/${currentJobId}"]`);
-        for (const link of links) {
-          const text = link.innerText.trim();
-          // Filter out empty or obviously wrong texts
-          if (plausibleTitle(text) && !text.includes('Easy Apply') && !text.includes('Save')) {
-            data.jobTitle = text;
-            break;
-          }
+    // 1. Most Reliable Method: Extract from active job link using currentJobId
+    let currentJobId = new URLSearchParams(window.location.search).get('currentJobId');
+    if (!currentJobId) {
+      const match = window.location.pathname.match(/\/jobs\/view\/(\d+)/);
+      if (match) currentJobId = match[1];
+    }
+    
+    if (currentJobId) {
+      // Find all links containing this job ID
+      const links = document.querySelectorAll(`a[href*="/jobs/view/${currentJobId}"]`);
+      for (const link of links) {
+        const text = (link.textContent || '').trim();
+        // Filter out empty or obviously wrong texts (like "Save", "Easy Apply")
+        if (text && plausibleTitle(text) && !text.includes('Easy Apply') && !text.includes('Save')) {
+          data.jobTitle = text;
+          break;
         }
       }
     }
 
-    // Preferred fallback 2: the browser tab title. LinkedIn sets it to
-    // "(N) Job Title | Company | LinkedIn" on every job page, it is not part of
-    // the React DOM that keeps getting restructured, and it cannot pick up a
-    // stray card heading. This is far more reliable than guessing at headings,
-    // so it runs before the DOM scan, not after it.
+    // 2. Fallback: Try known selectors
+    if (!data.jobTitle) {
+      data.jobTitle = trySelectors([
+        '.job-details-jobs-unified-top-card__job-title h1 a',
+        '.job-details-jobs-unified-top-card__job-title h1',
+        '.jobs-unified-top-card__job-title h1',
+        '.jobs-unified-top-card__job-title',
+        '.job-details-jobs-unified-top-card__job-title',
+        'h2.job-details-jobs-unified-top-card__job-title',
+        '.jobs-unified-top-card__job-title a',
+        'h1.t-24',
+        'h1.t-18',
+        'h1[class*="job-title"]',
+        'h2[class*="job-title"]',
+        '.t-24.t-bold',
+        '.top-card-layout__title',
+        'a[class*="topcard__title"]',
+        '.topcard__title',
+      ]);
+      
+      // If we grabbed garbage, reset it
+      if (data.jobTitle && !plausibleTitle(data.jobTitle)) {
+        data.jobTitle = '';
+      }
+    }
+
+    // 3. Last Resort Fallback: Browser tab title
     if (!data.jobTitle) {
-      // The "(N)" prefix is LinkedIn's unread counter and can read "(99+)".
       const m = document.title.match(/^(?:\(\d+\+?\)\s*)?(.+?)\s*[|·]/);
       if (m) {
         const candidate = m[1].trim();