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Scrape, extract jobs from LinkedIn™ and export to CSV/Excel Extract jobs, locations from LinkedIn™ and exporting them to CSV, Excel or JSON file. Our scraper simplifies the process of searching and extracting detailed job data, requiring no coding expertise. # Features ✓ Extract jobs search results and all pages automatically ✓ Extract Company Details and Hiring Manager ✓ Capture external apply URLs (Greenhouse, Lever, Workday, and more) ✓ Export as Excel, CSV, and JSON # Supported fields: - Title - Description - Primary Description - Detail URL - Apply URL (direct link to company's application page) - Apply Type (External or Easy Apply) - ATS Name (Greenhouse, Lever, etc.) - Location - Skill - Insight - Job State - Poster Id - Company Name - Created At - etc. With the Pro version and settings activated, you can get additional fields such as: Company Details and Hiring Manager. # How to get started? 1. Enter Your Job Search Parameters Specify your target job title, location, keywords, and other filters. The more precise your search, the better the results. 2. Click the Download button next to the “Search” button. Then just wait to scrape complete. 3. Once extraction is done, click 'Export'. In the popup, we offer these extra features: Relevant-Ext: Brief recommendations and introductions to related extensions. # Data Privacy Your data's security is our top priority. Rest assured, all data remains on your device, ensuring 100% privacy and trustworthiness. # Statement LinkedIn™ is a trademark of LinkedIn Inc. Jobs Scraper for LinkedIn is not affiliated with, endorsed, sponsored, or otherwise related to LinkedIn, Inc. or any of its affiliates or subsidiaries. # About Pro Jobs Scraper for LinkedIn is a paid extension, you can get basic functionality and upgrade to get more functionality.
Apr 14, 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.