There are two people who search for how to see who liked a LinkedIn post. One is curious: they wrote a post, or they saw one, and they want to glance at the list. The other is prospecting: every one of those reactions is a person who just raised a hand, and they want that list as leads. The good news is that the first question takes one click, and the second takes one more. This guide covers both, in that order.
How to see who liked a LinkedIn post
Open the post and click the reaction count, the small cluster of reaction icons directly beneath the post text. A panel opens listing everyone who reacted, with tabs to separate a plain Like from Celebrate, Support, Love, Insightful, and Funny. It works on desktop and in the mobile app, and it needs nothing installed.
That is the whole answer for the curious reader. For everyone else, the more useful question is what you do with the list, and the honest first step is choosing which of these you actually want:
The three rows are three different jobs. Most guides collapse them into one and then wonder why the "just looking" reader ends up pasting a session token into a dashboard. Keep them separate.
Where the native reactions panel stops
The panel is the right tool right up to a point, and then it quietly becomes the wrong one. It loads names in small batches, there is no export button, there is no filter, and there is no way to save the list. It is built for reading, not for working. The moment your goal is a list you can act on, the panel is friction.
Two hard limits are worth knowing before you scroll:
- There is no export and no search. By a few hundred reactions you are scrolling a modal and retyping names into a spreadsheet, and every name a hand mistypes is a prospect the search bar can never find again.
- LinkedIn stops loading reactions at roughly 3,000. On a genuinely viral post you physically cannot scroll to everyone, because the platform itself caps how many reactors it will render. PhantomBuster's own post-likers documentation (2026) puts this ceiling at 3,000 people.
So the panel answers "who liked this" and fails at "give me these people as a list". For the second job you need a different approach.
How to get the liker list without connecting anything
Reactions on a public post are public. That means a server can read the same list you can see, without acting as you and without touching your account at all. This is the path for the prospector, and it carries none of the account risk of the tools further down.
- Copy the post URL. Open the post on its own page, not in your feed, and copy the address from the bar. Use the full permalink, not a shortened share link.
- Paste it into a finder. The free LinkedIn likes finder takes the URL and returns the people who reacted. Nothing is connected, so there is nothing to put at risk.
- Filter before you export, not after. Cut the list down while it is still on screen. Trimming for fit now is faster than cleaning a CSV later.
Commenters are worth grabbing in the same pass. A comment costs visible effort, so it is a stronger signal than a like and the list is usually shorter and higher quality. The free LinkedIn comments finder works the same way, from the same URL.
This is the see-and-export path. If you want the full comparison of every export method ranked by how much account access each one demands, that is a separate piece: how to export LinkedIn post likers. This page is about seeing the list; that one is about getting it out at scale.
The tools that pull likers through your account
The other common route is a tool that logs in as you. These work, and they are popular, but they all share one property: they operate your account, which is the exact thing LinkedIn's detection looks for. Here are the two most-searched options next to the public-data approach, on the axes that actually matter.
The facts behind those rows, verified on each vendor's live pages:
- PhantomBuster connects either through its browser extension or a session cookie you paste in, then replays that session from its own infrastructure. Its post-likers export cannot see past LinkedIn's roughly 3,000-reactor cap, and pricing runs from about 69 to 439 dollars a month with a 14-day trial (PhantomBuster, 2026). It works. The tradeoff is that your account is now active from an IP that is not yours, on a schedule you did not set.
- Dux-Soup is a Chrome extension that acts inside your own browser. On the Pro (14.99 dollars a month) and Turbo (55 dollars a month) plans your browser must stay open for it to run; only the Cloud plan (99 dollars a month) runs unattended off their servers (Dux-Soup, 2026). Every request it fires is your logged-in account.
If your job is to monitor engagement continuously as a buying signal rather than grab one post's list, a signal platform like Trigify is a different category worth knowing; the Trigify alternatives rundown covers where it fits and where it does not.
BeReach sits deliberately on the other side of this table. The likes finder reads the public post and returns the people with nothing connected, and a cookie is only ever required at the real outreach boundary, when you actually send. Pricing, trial, and account limits are on the pricing page rather than quoted here so they stay current.
Turning likers into replies
A list of 400 names is not 400 leads, and this is the half that decides whether the whole exercise was worth an hour. A like is a weak signal on its own: it costs nothing and often means "I read the first line". Two filters do most of the work. First, fit: does this person match who you sell to, judged more on company shape than on title alone. Second, relevance of the post: someone who reacted to a post about the problem you solve is worth far more than someone who reacted to a viral hiring post.
The payoff for doing this shows up in reply rates. Belkins' 2026 LinkedIn outreach study, built on more than 15 million touchpoints, put the reply rate on warm messenger outreach at 12.2 percent against 7.9 percent for a cold connector sequence. That gap is real, but it collapses the moment "warm" only means "this person clicked something once", which is exactly what happens when you skip qualification.
Timing matters as much as fit. Content engagement is the most perishable signal on LinkedIn: the person was thinking about your topic minutes ago, not next quarter. The deeper read on why reactions rank where they do among intent signals is in LinkedIn engagement signals, and the full playbook for acting on them without spraying is signal-based selling on LinkedIn.
When you do write, reference the idea, not the click. "I saw you liked a post about X" is surveillance with extra steps. "Your point about X" or "the thread on X got me thinking" writes to a person engaged with a topic, which is the only version of this that earns a reply.
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.
Frequently asked questions
How do I see who liked a LinkedIn post?
Open the post and click the reaction count, the small row of reaction icons directly under the post text. A panel opens listing everyone who reacted, with tabs to filter a plain Like from Celebrate, Support, Love, Insightful, and Funny. It works on both desktop and the mobile app and needs nothing installed. The panel is for reading, not exporting.
Can I see who liked a post that is not mine?
Yes. The reaction list on any public post is publicly viewable, so you can open someone else's post and click the reaction count to see who reacted, exactly as you would on your own. Posts shared to a restricted audience are the exception: if you cannot see the post, you cannot see its reactions.
Does the person know when I view who liked their post?
No. Clicking the reaction count and reading the list does not notify anyone. Viewing the panel is not a profile view. What can be visible is opening an individual person's profile from that list, which may appear in their "who viewed your profile" depending on your own privacy settings. The list itself is silent.
How do I turn the list of likers into leads?
Copy the post URL, paste it into a public likes finder, and get the people back as a list with nothing connected to your account. Then qualify for fit and post relevance before you message anyone, because a raw reaction is a weak signal. Warm, qualified outreach replies at 12.2 percent versus 7.9 percent cold, per Belkins' 2026 study of 15 million-plus touchpoints.
