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Filter LinkedIn job postings by company name. Create a custom blocklist to avoid recruiting agencies and unwanted companies. Know where your application goes before you click Apply. ApplyAware helps you identify LinkedIn job postings that redirect to third-party application platforms, which may add extra steps to your application process. What It Does • Badges third-party jobs with a clear "Potential Third Party" label • Visible in both views - sidebar list and job details panel • Instant detection - identifies third-party jobs as you browse • Privacy-first - no data collection, no tracking, works entirely offline How It Works ApplyAware scans job descriptions for patterns indicating third-party application platforms. When detected, it adds a subtle badge so you can make informed decisions about where to spend your application time. Why Use ApplyAware? Many job seekers prefer applying directly through company career pages or LinkedIn's native application system. Third-party platforms may: • Add extra steps to the application process • Require creating additional accounts • Route applications through intermediaries • Result in different application experiences With ApplyAware, you'll know upfront which jobs use these platforms, saving you time and frustration. Key Features ✓ Works seamlessly with LinkedIn's interface ✓ Minimal, non-intrusive design ✓ No account required ✓ Completely free ✓ Zero data collection Privacy ApplyAware does not collect, store, or transmit any user data. All processing happens locally in your browser. See our full privacy policy for details. Perfect for: Job seekers, recruiters, HR professionals, and anyone who wants a more efficient LinkedIn job search experience.
Jan 14, 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.