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Export LinkedIn posts (profile or company page) to CSV. Runs 100% locally: no login, no server, data never leaves your machine. Export your own LinkedIn posts to CSV, Excel, JSON, Markdown, or PDF - all processed locally in your browser. One-time payment, lifetime updates, works on 2 devices. Export LinkedIn posts into a clean, usable file (locally, on your own machine) PostPackr is a Chrome extension that reads your public posts already visible on a LinkedIn profile or company page: reactions, comment counts, reposts, timestamps, hashtags, mentions, media. And saves them to a spreadsheet or document. There's no login automation, no third-party server, and no LinkedIn API involved. Everything runs locally in your browser, at a slow, human-like pace, and only touches what's already visible on the page. Free, forever - Export the last 15 posts to CSV - Exact publish timestamps, decoded from LinkedIn's own post IDs - Engagement data: reactions, comment counts, reposts, hashtags, mentions, media links, repost origins - No login, no account, no data ever leaves your computer Lifetime License - One payment. No subscription. Yours forever, including future updates. - Export to 5 formats: CSV, Excel (.xlsx), JSON, Markdown, and a print-ready PDF summary - Images .zip: save post images alongside the data Same locally-run, privacy-first design as the free tier, activation only checks your license key against Gumroad; nothing you export is ever uploaded anywhere What it's good for? Keeping a personal archive of your own posting history, backing up a profile before a career change, or saving a handful of public posts you want in a spreadsheet instead of scrolling to find them again.
Jul 27, 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.