4 items
Flags job listings that show ghost-job warning signs on LinkedIn and Indeed, with the reasons. A risk estimate, not a certainty. Tired of applying to jobs that were never real? "Ghost jobs" — listings that are fake, evergreen, or already filled — waste your time and crush your motivation. Ghost-Job Detector reads the job you're looking at and shows a clear verdict right on the page, before you apply. WHAT YOU GET • A badge on every LinkedIn & Indeed job page: 🟢 Likely real · 🟡 Questionable · 🔴 Likely ghost • The evidence behind it — how many times it's been reposted, how long it's been live, how many boards it's on • A quick read of whether it's worth your effort — in one glance, no extra clicks WHY IT'S DIFFERENT Most tools guess from the text on one page. Ghost-Job Detector checks the listing against a broad, continuously-updated dataset of postings across companies and boards — so it can see reposts, staleness, and cross-board duplication that a single page can't reveal. HONEST BY DESIGN • Three-state verdict, never a blind yes/no — you always see the evidence and decide. • When there isn't enough data, it says "unknown" instead of guessing. • Read-only. It reads the job's id and URL to look up a verdict. It does not touch your account, autofill, or apply for you. PRICING Free 7-day trial, then a one-time $6.99 for a 90-day pass — the length of a typical job hunt. A $14.99 lifetime option is available too. No subscription. Spend your applications on the jobs that are actually real.
Aug 21, 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.