4 items
Smart filters, hide viewed/applied jobs, and custom badges for LinkedIn job listings Take control of your LinkedIn job search with JobLens! Searching for jobs on LinkedIn can be overwhelming with repetitive listings, outdated postings, and cluttered search results. JobLens enhances your LinkedIn Jobs experience by adding smart color-coded badges, advanced keyword filtering, ghost job detection, and personal rating tools. 🚀 KEY FEATURES: 1. Visual Badges & Color Coding • Instantly distinguish jobs you've already viewed, applied to, or saved with clear color-coded indicators. • Highlight old vs. new job postings automatically based on listing age. 2. Smart & Automatic Filtering • Hide unwanted listings automatically using custom keyword filters (Include/Exclude in titles or descriptions). • Block specific companies from appearing in your feed. • Automatically hide already viewed or applied jobs to focus only on fresh opportunities. 3. Ghost Job Detection • Get warned about stale, reposted, or inactive job listings ("Ghost Jobs") so you don't waste time applying to dead-end posts. 4. Personal Job & Company Ratings • Rate job posts with stars to build your custom shortlists. • Track and average your ratings per company to make data-driven career decisions. 5. Cross-Device Sync • Keep your filters, notes, and viewed statuses synced across all your devices using your account. Privacy First: JobLens respects your privacy. Your data is securely handled with modern authentication standards.
Aug 25, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.