What is the LinkedIn Comments Scraper?
The InsightSocial LinkedIn Comments Scraper is a free Chrome extension that exports every comment on any LinkedIn post — the comment text, date, and engagement, plus the commenter's name, professional headline, and profile URL. Open a post, run the scrape, and the full discussion lands in CSV, Excel, JSON, or Google Sheets.
LinkedIn comments are different from comments anywhere else: every one comes signed with a job title. A thread under a good industry post isn't just discussion — it's a list of named professionals, with their roles and companies, telling you what they think about a topic you care about. LinkedIn gives you no way to export that. The scraper reads the thread through your own logged-in session and turns it into structured rows.
Commenters are also the highest-intent engagers on the platform. A like takes one click; a comment takes an opinion. If you're prioritizing outreach, start with the people who wrote something — then use the LinkedIn Post Likers Scraper on the same post to capture the wider reactor list.
Who is it for?
- B2B sellers and SDRs treating commenters on competitor and industry posts as prospects with stated opinions
- B2B marketers mining real customer language, objections, and questions from comment threads
- Founders and creators following up with everyone who took the time to comment on their post
- Market researchers running sentiment and theme analysis across discussions at scale
- Community builders identifying the most engaged voices in their niche
- Agencies reporting discussion quality — who commented and what they said — not just counts
Key Benefits
- Commenter identity on every row — name, headline, and profile link; the export doubles as a contact list
- Replies included, threaded — replies export as their own rows linked to the comment they answer
- Engagement per comment — total reactions, a per-type breakdown (Like, Celebrate, Support, ...), and reply counts
- Discussion signals — pinned, edited, and author-replied flags show how the post's author worked the thread
- Works on any post you can open — yours, a competitor's, or the post everyone in your industry is discussing
- CSV / Excel / JSON / Google Sheets — sort by engagement, filter by headline keywords, feed your analysis
- Runs in your own browser session — captures only what your logged-in account already sees
How to Use LinkedIn Comments Scraper
Step 1: Install the Extension
Add InsightSocial from the Chrome Web Store. The icon appears in your browser toolbar after install.
Step 2: Open the Post
Click the post's timestamp (or "copy link to post") to open its permalink page — a URL like linkedin.com/posts/... or linkedin.com/feed/update/.... Any post works, including other people's.
Step 3: Open the InsightSocial Sidebar
Click the InsightSocial icon. The sidebar detects that you're on a single-post page and offers the Comments scrape type.
Step 4: Start Scraping
Click "Start Scraping". The extension walks through the comment thread, collecting each comment with its text, date, engagement, and author details as LinkedIn loads them.
Step 5: Review the Thread
When the scrape completes, open the results in your InsightSocial portal — sortable and searchable, with profile links for every commenter.
Step 6: Export the Data
Export as CSV (drop into Google Sheets or Excel), .xlsx (native Excel), or JSON (for scripts), or send it straight to Google Sheets.
Frequently Asked Questions
How do I export comments from a LinkedIn post?
Open the post's permalink page, select Comments in the InsightSocial sidebar, and start the scrape. Every comment exports with its text, date, reaction and reply counts, and the commenter's name, headline, and profile URL.
Can I scrape comments from a competitor's post?
Yes. Any post you can open in your browser works. Competitor threads are especially valuable: the people commenting there are your market, and they're telling you — in their own words — what they want, what confuses them, and what they'd switch for.
What makes LinkedIn comments worth exporting?
Job titles. On other platforms a commenter is a username; on LinkedIn it's "VP of Sales at [company]". That turns comment analysis into account research — you can see not just what your market says, but who in the org chart is saying it.
Does it include replies and comment engagement?
Yes. Replies export as their own rows, each linked to the comment it answers, so full sub-threads survive the export. Every comment also carries its total reaction count, a breakdown by reaction type (Like, Celebrate, Support, Love, Insightful, Funny), its reply count, and edited/pinned/author-replied flags — enough to rank the discussion by what actually resonated instead of reading top to bottom.
How many comments can I scrape per post?
The extension pages through the thread as far as LinkedIn loads it, and scraping is unlimited on every plan. Your monthly quota is export credits, one per exported row:
- Free plan: 500 export credits per month
- Pro Monthly: 10,000 export credits per month for $9.99/mo
- Pro Yearly: 10,000 export credits per month for $95.88/year ($7.99/mo)
Can I get the post's likers too?
Yes — run the LinkedIn Post Likers Scraper on the same post to export everyone who reacted, with reaction type and connection degree. Comments give you depth (what people said); likers give you reach (everyone who raised a hand).
Is scraping LinkedIn comments allowed?
Comments are public contributions their authors chose to publish, and the extension captures only what your own logged-in session already sees. LinkedIn's Terms of Service restrict automation, so keep volumes reasonable and handle the data responsibly under GDPR and CCPA. If you're comparing tools for comment export specifically, see our ExportComments alternatives breakdown.