In short
- 1"Click the reaction count under any post to open a tabbed panel listing the people who reacted, split by reaction type"
- 2"LinkedIn's native panel caps at roughly 3,000 reactors and has no export or search function"
- 3"Public post reactions are visible to anyone, so a likes finder can turn that list straight into a set of qualified leads"
- 4"PhantomBuster and Dux-Soup both export raw liker lists; only BeReach also qualifies each person and drafts a message for your approval"
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 signing up for a whole outreach tool they only needed for a glance. 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, the reaction-type tabs are the only sorting on offer, 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 puts this ceiling at 3,000 people and attributes it to LinkedIn rather than to the tool.
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 export the liker list as a lead list
Reactions on a public post are public data. That means a server can read the same list you can see and hand it back as an exportable lead list instead of an on-screen panel. This is the path for the prospector: paste a URL and work from a list you can filter, not a scroll session with no search bar.
- 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 LinkedIn likes scraper takes the URL and returns the people who reacted, ready to filter and export.
- 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 scrape LinkedIn comments 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, 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 automation tools: PhantomBuster and Dux-Soup
The other common route is a bulk automation tool. These work, and they are popular. Here are the two most-searched options next to BeReach's approach, on the axes that actually matter: whether the list comes back qualified, and whether a person reviews the message before it sends.
The facts behind those rows, verified on each vendor's live pages:
- PhantomBuster connects either through its browser extension or by connecting your LinkedIn account directly, then runs the export from its own infrastructure. Its post-likers export cannot see past LinkedIn's roughly 3,000-reactor cap. Pricing runs from 69 dollars a month for Starter to 159 for Pro and 439 for Team, billed monthly and roughly 20 percent cheaper annually, metered in execution hours per workspace rather than per seat, with a 14-day trial (PhantomBuster, 2026).
- Dux-Soup is a Chrome extension that runs inside your own browser, connected to your LinkedIn account. On the Pro (14.99 dollars per user per month billed monthly, 11.25 annually) and Turbo (55 dollars, 41.25 annually) plans your browser must stay open for it to run; only the Cloud plan (99 dollars, 74.17 annually) runs unattended off their servers (Dux-Soup, 2026).
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, builds the list, says who is worth your time and why, and drafts a first message for each person, with a human approving every one before it sends. Pricing and trial details 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 from an already-connected prospect at 12.2 percent against 7.9 percent for a standard cold connection campaign. 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 them, says which ones are worth your time, writes the first line, 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 ready-to-qualify list. 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.
Reading this in an AI assistant? Hand it the page and let it summarize, so you can ask follow-up questions against the whole argument rather than the part you have read so far.
