Job Scraper wot Libor Benes (Dr. B)
From job posting pages, extract main job fields: title, company, location, salary, date posted, job ID, URL, recruiter, method. Best results on pages in English. On non-English pages, better results when first Google translated to English. • Secure.
Metadaty rozšěrjenja
Wo tutym rozšěrjenju
Job Scraper is a Firefox desktop browser extension that helps job seekers, recruiters, and researchers instantly extract structured job data from any job posting page with one click.
It extracts up to 11 key fields:
• Job title
• Company name
• Location / Remote status
• Salary information
• Posted date
• Application deadline
• Job ID
• Application URL
• Recruiter contact (email, phone)
• Application method
• Source website
Features:
• One-click extraction – click Scrape, get structured data instantly.
• Copy individual entries or the entire list.
• Export to JSON or TXT with timestamped filenames.
• Configurable field selection – check/uncheck any field.
• Smart list page detection – warns when on search results pages.
• LinkedIn JSON filtering – prevents massive data dumps.
• Clean sidebar with scrollable job history.
• Sticky header – Scrape button always visible while scrolling.
• Works best on pages in English.
• Works on non-English pages, too, even better detection when first translated to English.
Security-First Architecture:
• 100% client-side – no data leaves your browser.
• No data collection or transmission.
• No telemetry, analytics, or tracking.
• Safe DOM construction.
• Input validation on all extracted data.
• Minimal permissions (clipboardWrite, activeTab).
Technical Details:
• Works on Firefox 140.0+ (desktop only).
• Runtime RAM footprint: ~51 KB.
• Install size: ~111 KB.
• Lightweight and performant.
Ideal for:
• Job seekers tracking multiple applications.
• Recruiters analyzing job postings.
• Career researchers studying market trends.
• Students researching job requirements.
• Anyone who wants to save structured job data.
Test Job Scraper on LinkedIn, Indeed, Monster, Glassdoor, Microsoft Careers, Apple Jobs, Amazon Jobs, or any company career site.
It extracts up to 11 key fields:
• Job title
• Company name
• Location / Remote status
• Salary information
• Posted date
• Application deadline
• Job ID
• Application URL
• Recruiter contact (email, phone)
• Application method
• Source website
Features:
• One-click extraction – click Scrape, get structured data instantly.
• Copy individual entries or the entire list.
• Export to JSON or TXT with timestamped filenames.
• Configurable field selection – check/uncheck any field.
• Smart list page detection – warns when on search results pages.
• LinkedIn JSON filtering – prevents massive data dumps.
• Clean sidebar with scrollable job history.
• Sticky header – Scrape button always visible while scrolling.
• Works best on pages in English.
• Works on non-English pages, too, even better detection when first translated to English.
Security-First Architecture:
• 100% client-side – no data leaves your browser.
• No data collection or transmission.
• No telemetry, analytics, or tracking.
• Safe DOM construction.
• Input validation on all extracted data.
• Minimal permissions (clipboardWrite, activeTab).
Technical Details:
• Works on Firefox 140.0+ (desktop only).
• Runtime RAM footprint: ~51 KB.
• Install size: ~111 KB.
• Lightweight and performant.
Ideal for:
• Job seekers tracking multiple applications.
• Recruiters analyzing job postings.
• Career researchers studying market trends.
• Students researching job requirements.
• Anyone who wants to save structured job data.
Test Job Scraper on LinkedIn, Indeed, Monster, Glassdoor, Microsoft Careers, Apple Jobs, Amazon Jobs, or any company career site.
Z 0 wot 0 pohódnoćacych pohódnoćeny
Prawa a daty
Trěbne prawa:
- Daty do mjezyskłada kopěrować
- Přistup k wašim datam za wšě websydła měć
Hromadźenje datow:
- Wuwiwar praji, zo tute rozšěrjenje hromadźenje datow njetrjeba.
Dalše informacije
- Přidatkowe wotkazy
- Wersija
- 1.0
- Wulkosć
- 37,84 KB
- Posledni raz zaktualizowany
- kuukausi sitten (2. huhti 2026)
- Přiwuzne kategorije
- Wersijowa historija
- Zběrce přidać