3 items
See community reports on suspected fake job postings and report ones you've encountered. You're applying to a LinkedIn job. Is anyone actually reading the applications? Is the posting real, or is it a fishing expedition? GhostJobs adds a small widget to LinkedIn job pages so you can see what other job-seekers have already reported about that exact posting. What the widget shows: • How many people applied to this posting and never heard back (with how long they've been waiting). • Structured warnings from other job-seekers — "reposted repeatedly," "role differed from posting," "suspicious recruiter behavior," "unpaid work / extensive take-home," "other." • Up/down votes on each warning so the most credible signals rise to the top. What you can contribute, in one click: • "I applied and got no response" — pick a wait-time bucket (1 week, 2 weeks, 1 month, 2 months, 3+ months). • "Report this posting" — pick one or more structured reasons. No free-text comments. How it stays anonymous: • No signup. No email. No LinkedIn login. • On first run the extension generates a random ID locally in your browser and uses that as your identity to the GhostJobs server. You can reset it at any time from the popup, which disconnects you from your past reports. • We never read your LinkedIn cookies, browsing history, or anything outside the job page you're currently looking at. What we collect, in full: • The random ID described above. • The job title and company name as shown on the LinkedIn page. • The structured reason codes / wait-time bucket / vote value you submit. • Timestamps. Full privacy policy: https://ghostjobs.fly.dev/privacy Currently supports LinkedIn only. Free, no ads, open to feedback at the email in the privacy policy. Now Supports indeed.com! Green no-response count on the left Red report count on the right Blue personal-history dot moved to the lower-left so it doesn’t collide Grey check only shows when there are no reports and no no-response marks
Aug 11, 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.