5 items
Highlights promising, uncertain, and risky LinkedIn, Indeed, and Glassdoor job listings without hiding them. JobLog Filter helps you scan job listings faster on LinkedIn, Indeed, and Glassdoor by turning visible listing details into clear, configurable signals. See at a glance: • applicant competition, when available • listing age and freshness • signals such as “Actively reviewing applicants” and “Be an early applicant” • jobs that are New to you since earlier searches Listings can be marked Positive, Caution, Warning, New to you, or left neutral when the page does not provide enough information. Available signals vary by site and listing. JobLog Filter does not invent missing data. Choose your own thresholds for applicant competition and listing age. You can also select how markers appear: • color and a short explanation • color only • a subtle marker JobLog Filter follows dynamically loaded results while you scroll or move between job pages. It does not hide listings, submit applications, or predict whether you will be hired. It simply adds context so you can decide where to focus your time. Privacy: JobLog Filter processes visible job-card information inside your browser. Filter preferences are stored with Chrome Sync. Recently seen job identifiers are stored locally for up to 30 days and can be cleared from the extension. Job-card data, search queries, and stored job identifiers are not sent to the developer or third parties. The optional JobLog link lets you continue to application tracking when you choose.
Jul 20, 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.