Say you need the commenters off a viral post, a couple thousand of them, and you want them fast. You sign up for a cloud exporter, paste in your LinkedIn session cookie, and a clean CSV lands in ten minutes. The export worked. What is easy to miss is that the cookie you pasted now lets that tool sign in as you, from its own servers, on its own schedule, from an IP your account has never used, until you remember to rotate it. The spreadsheet took ten minutes. The access it traded away lasts until you revoke it.
That trade is the thing the roundups skip. Search for the best way to get comments off a LinkedIn post and you get the same dozen tools sorted by price, by export format, or by how many comments they claim to pull in one run, almost never by the one thing that decides whether you regret the choice: how much access to your own account the tool demands, and who is holding that access once the CSV lands.
That is the axis that separates a two-minute lookup from a restricted profile. So here is the roundup built around it: ten routes to export LinkedIn post commenters, ranked from the ones that touch your account least to the ones that take the most, with a neutral read on each and one honest concession where a dedicated tool wins.
The 10 tools, ranked by what they cost your account
Two things about that table decide most of the difference, and neither is in the marketing copy.
A browser extension acts as you, from your machine. It injects scripts into the LinkedIn page you already have open, reads the comment panel through your live session, and writes the result to a file. The account exposure is real but bounded: the activity comes from your normal IP and browser, and nothing keeps your session after you close the tab. The risk is speed and pattern, not custody.
A cloud tool takes your session and replays it from somewhere else. You paste a session token into a dashboard, and from then on the tool signs in as you from its own servers, on its own schedule, from an IP that is not the one you normally use. That mismatch between where your account usually appears and where it is suddenly active is one of the more legible automation signals there is, and it persists until you rotate the cookie. The tool works. The exposure outlives the export.
Neither category is authorized by LinkedIn when it automates account activity, which is why the ranking below sorts by exposure rather than by features or price.
What the terms actually say
LinkedIn's User Agreement prohibits using bots or other automated methods to access the service, and its Prohibited Software and Extensions policy names third-party tools that scrape or automate account activity, regardless of where they run. A Chrome extension and a cloud dashboard are treated the same way on paper. Enforcement in practice, though, has not been uniform, and the pattern matters more than the paper.
The public record of the last few years draws the line more precisely than the blanket policy does. In hiQ v. LinkedIn, the Ninth Circuit found that scraping publicly available profile data likely does not violate the Computer Fraud and Abuse Act, since a logged-out visitor can read the same pages; LinkedIn still prevailed on the separate claim that hiQ's accounts breached the User Agreement, and hiQ wound down. Then in January 2025 LinkedIn sued Proxycurl, one of the most-used LinkedIn data APIs, over mass scraping and running fake accounts, and Proxycurl shut down that July rather than fight (Nubela, 2025). The pattern across both cases: enforcement concentrates on bulk resale of profile data and on tools that operate accounts at machine speed, not on the act of reading a page a logged-out visitor could also read. The full version of where that line sits is in the LinkedIn data compliance guide.
The takeaway for comment export is narrow. If a method reads a public post without signing in as you, it does not put your account on the line. If a method drives your account, the safe envelope is small: LinkedIn's own guidance lands around 100 invitations a week, and account-safe daily caps for visits and messages are lower than most tools default to.
The tiers, tool by tool
No account exposure
Cookieless comments finder. A public LinkedIn post is publicly readable, so a server can retrieve its comment list the same way a logged-out visitor can, without acting as you and without touching your account. There is no session to paste and nothing to rotate afterwards. The trade-off is scope: it reads what is public, so comments on posts shared to a restricted audience are out of reach. This is the route the rest of this article builds on. You can run it now with the free LinkedIn comments finder.
Apify comment actor. Apify is a marketplace of hosted scripts ("actors"), several of which target LinkedIn post comments. The important distinction is per actor: the popular comment actors read public post data on Apify's infrastructure and never ask for your cookie, which keeps exposure off your account; the profile-detail and Sales Navigator actors do want your session, and those carry the same custody problem as any cloud tool. Read what the specific actor requires before you run it. For the fuller picture of what running on a marketplace actor costs and controls, see the BeReach vs Apify comparison.
Medium exposure: extensions on your own session
Dedicated single-post exporter. A category of purpose-built tools does one job: paste a post URL, set a limit, get every commenter in a CSV, frequently with an email column appended. Most run in your browser through your logged-in session. This is the concession row, and it gets its own section below, because for one specific job these tools genuinely win.
Evaboot. Best known for cleaning Sales Navigator exports, Evaboot is a Chrome extension that also pulls post engagers using your live session, then dedupes and enriches the output. Clean data, real email-finding, and the exposure of any extension that acts through your account: bounded to your own browser and IP, but still your account doing the work.
Dux-Soup. One of the older LinkedIn browser extensions. It handles commenter and visitor export alongside its automation features, running entirely inside your browser. Mature and configurable, with the standard extension risk profile: it is your session doing the reading, so pace matters.
Bardeen. A general browser-automation extension with prebuilt LinkedIn "playbooks," including comment scraping, that can pipe results into Sheets, Notion, or Airtable. It straddles the line: the capture happens in your browser, but scheduled and cloud-run flows push it toward the higher-exposure end.
High exposure: cloud tools that hold your session
TexAu. A growth-automation platform offering a comment exporter among many "recipes," available as a cloud service or a desktop app. The cloud version holds your session and runs from its servers, which is the higher-risk configuration; the desktop version runs locally and behaves more like an extension. Powerful and broad, with the custody question turning entirely on which version you pick.
PhantomBuster. The most-cited name in this space, with a dedicated LinkedIn Post Commenters Export "phantom." You connect your session cookie once, then runs execute from PhantomBuster's cloud on a schedule. Reliable and well-documented, and the exposure is exactly what the cloud model implies: your account, active from infrastructure that is not yours, until you disconnect it.
Captain Data. An enterprise-grade automation platform with LinkedIn workflows including engagement export, run server side and wired into other systems by API. Built for teams and volume, which is also what raises the exposure: sustained, scheduled account activity from a hosted environment.
Dripify. Primarily a cloud sequencing tool, with engagement extraction alongside its campaigns. Same shape as the others in this tier: your session lives in the dashboard and acts from Dripify's servers, so the exposure stands as long as the session is connected.
The one row where a dedicated tool wins
One job breaks the ranking, and it is worth naming. If your job is a single, one-time bulk dump of one very large post, say a viral thread with tens of thousands of comments, and you want every reactor's metadata and an appended email column in one flat CSV for research or list-building, a purpose-built single-post exporter does that in one click and does it better than a finder built for outreach. Raw volume, one export, emails attached, done.
A cookieless finder is not optimized for that. It feeds a qualified outreach workflow, not a 40,000-row archive of a marketing post. When the deliverable really is the spreadsheet itself, the dedicated exporter is the right tool. The catch is the one this whole article is about: many of those exporters ask for your session to reach that volume, so you are trading account exposure for row count. If that trade is worth it for a genuine one-off, take it with eyes open.
For most outreach, though, the deliverable is not the spreadsheet. It is a short list of people worth writing to, which is a different problem.
Doing it with nothing connected
The lowest-exposure route is also the fastest to start, because there is nothing to install and nothing to paste.
- Open the post on its own page. Use the full permalink from the address bar, not the shortened share link, so the tool resolves the right post.
- Paste the URL into the finder. The free LinkedIn comments finder reads the public comment list on a server and returns the people. No session is connected, so your account is never in the loop.
- Filter before you export, not after. Cut the list down while it is on screen. Cleaning a raw CSV of 400 rows later is slower than narrowing it now, and it is the step everyone skips.
The same pattern works for reactions through the sibling likes route, and there is a step-by-step walkthrough for commenters specifically in how to export LinkedIn post commenters.
What actually turns the list into pipeline
A list of 400 commenters is not 400 leads, and the export is the easy half. A comment is a stronger signal than a like because it costs visible effort, but it still does not tell you the person has a problem you solve. The qualification step is what converts an engagement list into a prospect list, and skipping it is why most exported CSVs die untouched.
Two filters do most of the work. Fit: does this person match who you actually sell to, judged more by company shape than by title alone. And relevance: someone who commented on a post about the exact problem you solve is worth far more than someone who commented on a viral post about hiring. The topic is part of the signal, not just the act of commenting.
The reason it matters is in the reply rates. In Belkins' 2026 LinkedIn outreach study, an already-warm prospect replied at 12.2% against 7.9% for a standard cold connection campaign, a lift of more than half from the relationship being warm rather than cold when the message landed (Belkins, LinkedIn outreach study, 2026). A commenter who engaged with a post about the exact problem you solve sits far closer to that warm end than a name pulled from a title search, and the relevance is what does the warming. That edge evaporates the moment a note meant to prove you did your homework collapses into pasting a first name. Qualification, doing enough homework to write a line that could only have been sent to that one commenter, is what makes the export worth the effort.
This is also where the whole comparison resolves, specifically for comments. Reading a post's public comment list, checking each commenter against your fit and relevance filters, and drafting a note for the ones that pass are all acts you can do without signing in as anyone, because that comment list was public to begin with. The only step that genuinely needs your account is the send. That is the "cookieless until outreach" design BeReach is built on: pull the commenters, qualify them, and draft, with no session connected, then connect a LinkedIn account only at the send boundary, paced inside the roughly 100-invitations-a-week envelope LinkedIn tolerates. The exposure every cloud exporter above carries from the moment you paste a cookie does not begin here until the moment you choose to reach out.
Every viral post is 100+ warm conversations waiting.
Tell your agent who you want to reach. It finds leads, qualifies them, sends personalized outreach, and follows up.
Where the compliance line sits
Reading a public page is not the same act as automating your account, and the two get conflated in every "is this allowed" thread. Public post data is public; enforcement has landed on bulk resale and on account automation at machine speed, not on reading a page a logged-out visitor could also read. If you send from your own account after the export, pace it: the list arriving all at once does not mean the outreach should. The longer treatment, with the actual case history, is in the LinkedIn data compliance guide.
What is the best tool to export LinkedIn comments?
It depends on your tolerance for account exposure. For a one-off bulk archive of a huge post, a dedicated single-post exporter wins on raw volume. For safe, repeatable outreach, a cookieless finder that reads public comments on a server carries no account risk because nothing is connected. Rank by exposure, not price.
Can you export LinkedIn post comments without connecting your account?
Yes, for public posts. A public post's comment list is publicly readable, so a server-side finder can retrieve it without you signing in or pasting a session token. Because nothing is connected, your account is never used and nothing is put at risk. Comments on posts shared to a restricted audience are not publicly readable.
Do LinkedIn comment scrapers get your account banned?
The risk depends on the method. Reading a public post from a server never touches your account. Browser extensions act through your live session, so pace and pattern matter. Cloud tools that hold your session and run from their own IP carry the highest and longest-lived exposure, because the account activity outlives the export.
Chrome extension or cloud tool for exporting commenters?
An extension acts as you from your own browser and IP, and keeps nothing after you close the tab, so exposure is bounded to speed and pattern. A cloud tool stores your session and replays it from its servers on a schedule, creating a location mismatch that persists until you rotate the cookie. For account safety, the extension is the lower-exposure of the two.
Are commenters or likers the better lead source?
Commenters, in almost every case. Commenting costs visible effort and usually reveals a viewpoint, which gives you both a stronger intent signal and a natural opening line. Liker lists are longer and weaker. Either way, the export is only worth it after you filter for fit and for how relevant the post is to what you sell.
