5 items
Scrape job listings, filter keywords, track applications, export to CSV. Stop wasting hours scrolling through irrelevant job listings. ScrapeJobs automatically collects job listings and filters them using your own rules so you only see the jobs that actually match what you want. No copy-pasting. No manual tracking. Just clean and filtered job data. Key Features Automatic Job Scraping Collect job listings automatically while you browse. Keyword Filters Only keep jobs that match keywords you care about. Title and Company Blocklists Hide jobs from specific companies or unwanted titles. Description Filtering Exclude listings that contain phrases you do not want. Job Age Control Ignore jobs older than your preferred timeframe. Language Filtering Only show listings written in your selected languages. Job Dashboard View all collected jobs in a clean and organized dashboard. CSV Export Download your filtered job list for tracking or analysis. How It Works Install ScrapeJobs Browse job listings normally ScrapeJobs collects listings in the background Your filters remove irrelevant jobs automatically Open the dashboard to view your curated job list Privacy First Your data stays on your device. ScrapeJobs does not track, collect, or send any personal data. All jobs, filters, and settings are stored locally in your browser. Who It Is For Job seekers who want faster job discovery Developers and tech professionals Graduates entering the job market Anyone tired of manually scanning job listings
Mar 30, 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.