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Extracts and tracks LinkedIn post data from a profile's Recent Activity page or a single post, ready to copy into a spreadsheet. Extract and track LinkedIn posts as clean, spreadsheet-ready rows — from a profile's activity feed or a single post. Full description: LinkedIn Content Extractor pulls structured data out of LinkedIn posts directly in your browser — no server, no LinkedIn API, nothing leaves your machine. Two modes: Recent Activity tracker — open any profile's Recent Activity page, scan or auto-scroll and scan, and copy every new post since your last export as tab-separated rows ready to paste into a spreadsheet. A clipboard-based checkpoint means you only ever get what's new. Single post extractor — open any post or feed permalink and pull its full data, or just its reactions breakdown. Fully configurable export columns — pick exactly which fields you want, including date, URL, content, author, post format, reaction/comment/repost counts, and more. Drag to reorder fields, and export/import your column setup as a config file. Post format — Photo, Video, Carousel, GIF, Article, or Text — is automatically detected, including for reposts. Reposts show the original post's format rather than simply being labeled "Repost". All extraction happens locally in your browser. See the Permissions section in the project README for exactly why each permission is needed.
Aug 25, 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.