---
title: "How to Export People Who Liked a LinkedIn Post | traxy"
description: "How to export the people who liked a LinkedIn post: what LinkedIn shows, how to keep only the likers who fit your ICP, then reach them by LinkedIn and email."
canonical: "https://traxy.ai/blog/export-linkedin-post-likers"
last_updated: "2026-11-13"
---

# How to Export People Who Liked a LinkedIn Post | traxy

> How to export the people who liked a LinkedIn post: what LinkedIn shows, how to keep only the likers who fit your ICP, then reach them by LinkedIn and email.

[Home](https://traxy.ai/) [Blog](https://traxy.ai/blog) [LinkedIn Lead Generation](https://traxy.ai/blog/topics/linkedin-lead-generation) 

Lead generation

# How to export the people who liked a LinkedIn post, and keep only the ones who fit your ICP

How to export the people who liked a LinkedIn post: what LinkedIn shows, how to keep only the likers who fit your ICP, then reach them by LinkedIn and email.

By the traxy teamPublished Nov 13, 202615 min read

![How to export the people who liked a LinkedIn post, and keep only the ones who fit your ICP — traxy blog](https://traxy.ai/assets/blog-covers/export-linkedin-post-likers.jpg)

**In this article**[How do I export the people who liked a LinkedIn post?](https://traxy.ai/blog/export-linkedin-post-likers#how-do-i-export-the-people-who-liked-a-linkedin-post) [What does LinkedIn show you about who liked a post?](https://traxy.ai/blog/export-linkedin-post-likers#what-does-linkedin-show-you-about-who-liked-a-post) [Why is a raw export of likers mostly noise?](https://traxy.ai/blog/export-linkedin-post-likers#why-is-a-raw-export-of-likers-mostly-noise) [How do you keep only the likers who fit your ICP in traxy?](https://traxy.ai/blog/export-linkedin-post-likers#how-do-you-keep-only-the-likers-who-fit-your-icp-in-traxy) [What does each lead show, and why can the count be lower than the likes?](https://traxy.ai/blog/export-linkedin-post-likers#what-does-each-lead-show-and-why-can-the-count-be-lower-than-the-likes) [How do you export the qualified likers to CSV or get their work emails?](https://traxy.ai/blog/export-linkedin-post-likers#how-do-you-export-the-qualified-likers-to-csv-or-get-their-work-emails) [How do you reach the likers with LinkedIn and email outreach?](https://traxy.ai/blog/export-linkedin-post-likers#how-do-you-reach-the-likers-with-linkedin-and-email-outreach) [What should the first message to a liker say?](https://traxy.ai/blog/export-linkedin-post-likers#what-should-the-first-message-to-a-liker-say) [How does lead capacity count?](https://traxy.ai/blog/export-linkedin-post-likers#how-does-lead-capacity-count) [When is a raw export of every liker the better pick?](https://traxy.ai/blog/export-linkedin-post-likers#when-is-a-raw-export-of-every-liker-the-better-pick) [FAQ](https://traxy.ai/blog/export-linkedin-post-likers#faq) [Next step](https://traxy.ai/blog/export-linkedin-post-likers#next-step) [Open product docs](https://docs.traxy.ai/) 

**TL;DR: LinkedIn has no button that downloads the people who liked a post, so you either copy the names by hand, run an export tool on the post URL, or paste the URL into traxy and keep only the likers who fit your ICP. traxy returns the engagers with a 50%+ ICP match, each with the like or comment behind them, lets you export them to CSV or look up work emails, and then runs LinkedIn and email outreach to them from your own connected accounts once you approve the campaign.**

traxy runs your entire LinkedIn GTM end to end, from finding high intent leads from social intent, including the people who like the posts you track, to enriching and researching each one, to running relevant, personalized LinkedIn and email outreach to them on autopilot. Autopilot starts only after you approve: you test the campaign on sample leads and approve the launch, then it sends on its own, or you approve every message. traxy is our product, so read this guide with that in mind.

_LinkedIn's help pages cited below were checked November 2026._

## How do I export the people who liked a LinkedIn post?

You export the people who liked a LinkedIn post by copying them from the post by hand, by running a third-party export tool on the post URL, or by tracking the post in traxy and exporting only the likers who match your ICP. LinkedIn itself gives you counts and analytics, not a downloadable list of the people who reacted.

Pick the route by what you need at the end:

-   **Every name, as data.** Copy them by hand for a small post, or use an export tool for a big one. Our list of [the best LinkedIn post engagement scrapers](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers)  compares those tools, so this guide doesn't repeat it.
    
-   **The people worth contacting.** Paste the post URL into traxy. Only likers and other engagers with a 50%+ ICP match become leads, and each one keeps the activity that put them on your list.
    
-   **The people worth contacting, plus the outreach.** Same as above, then put the leads in a campaign that researches each one and sends LinkedIn and email messages from your own connected accounts after you approve it.
    

This page is about likers. If the post's comments are what you want, [how to extract comments from a LinkedIn post](https://traxy.ai/blog/extract-linkedin-post-comments)  covers the commenters, the comment-by-comment hand method and the comment exporters.

## What does LinkedIn show you about who liked a post?

LinkedIn shows the post's author analytics with reaction counts, and lets you see who reposted your post, but none of the help pages we checked describes a way to download the people who liked or reacted to it. Here is what each native place gives you, from LinkedIn's own help center:

-   **Post analytics.** Under Me > Posts & Activity, you can open analytics for each of your posts. LinkedIn says "only you can view your post analytics," and the social engagement section counts reactions as "the number of times members or Pages reacted (i.e. liked) your post." The numbers are estimates, and social engagement counts stay available for 1,000 days ([View post analytics for your content](https://www.linkedin.com/help/linkedin/answer/a525196) , [Post analytics for your content](https://www.linkedin.com/help/linkedin/answer/a516971) ).
    
-   **Viewer demographics, not liker names.** The demographic breakdowns (job title, location, company, company size, industry and seniority) describe post viewers, are only shown when there are enough unique viewers, and aren't available for posts shared only with connections or in Groups ([Post analytics for your content](https://www.linkedin.com/help/linkedin/answer/a516971) , [View post analytics](https://www.linkedin.com/help/linkedin/answer/a525196) ).
    
-   **An export of totals.** Combined post analytics can be exported to an .XLSX file, and the page describes performance totals across your posts, such as impressions and engagements ([Combined post analytics](https://www.linkedin.com/help/linkedin/answer/a701208) ).
    
-   **Who reposted.** You can open the list of people who reposted your post from the repost count, and LinkedIn notes that the list won't show posts shared privately ([How to repost a post on LinkedIn](https://www.linkedin.com/help/linkedin/answer/a525047) ).
    
-   **Company Page posts.** Page admins get an Activity tab whose Reactions filter "currently displays aggregated reactions" ([View and engage with your LinkedIn Page activity](https://www.linkedin.com/help/linkedin/answer/a567278) ).
    
-   **Your data download.** It includes the reactions you made, not the people who reacted to you: LinkedIn "will only provide your own personal data and not that of other members" ([Download your data](https://www.linkedin.com/help/linkedin/answer/a1339364) ).
    

Two more facts are useful when you read a liker list. A like is one of LinkedIn's reactions, next to options such as Celebrate, Support, Love, Insightful and Funny ([Use LinkedIn reactions](https://www.linkedin.com/help/lms/answer/a528190) ). And when someone reacts, LinkedIn shares it with their network ([Like, unlike, and react to posts or comments](https://www.linkedin.com/help/linkedin/answer/a522684) ).

So every way of getting likers into a sheet is a workaround. If you use a scraper or browser extension, know that LinkedIn's [User Agreement](https://www.linkedin.com/legal/user-agreement)  (section 8.2) says members must not use software, scripts, crawlers or browser plugins "to scrape or copy the Services, including profiles and other data." Many of those tools run on your own LinkedIn session, so your account carries the risk, and no tool can promise LinkedIn won't restrict it.

## Why is a raw export of likers mostly noise?

A raw export of likers is mostly noise because a like costs nothing and comes from anyone the post reaches: the author's peers, other creators, vendors who sell what you sell, job seekers, friends and colleagues. On a typical B2B post, only part of that crowd buys what you sell, and the export doesn't tell you which part.

Three things make likers harder to work with than commenters:

1.  **No words to read.** A comment tells you what the person thinks. A like tells you they saw the post and tapped once. You can't tell agreement from politeness.
    
2.  **The headline rarely settles fit.** A list of names and headlines leaves you to open each profile and check role, company size and industry yourself.
    
3.  **Volume hides the few who fit.** A popular post can collect far more likes than comments, so the sorting job grows with the post's reach.
    

That doesn't make likers worthless. A like on a post about the problem you solve, from someone who fits your buyer, is a reason to start a relevant conversation. Several likes across posts on the same problem say more than one. The job is to find those people in the crowd, and that is a fit check, not an export. Our guide to [generating leads from LinkedIn engagement](https://traxy.ai/blog/blog-how-to-generate-leads-from-linkedin-engagement)  explains how to tell which likers are potential buyers, and the same checks apply here.

## How do you keep only the likers who fit your ICP in traxy?

Paste the post URL into traxy under Targeting > Single posts > New > Track post, or into trax, and traxy checks the post's engagers against your ICP. Only people with an ICP match of at least 50% become leads ([qualification](https://docs.traxy.ai/discovery/qualification) ). traxy is not a scraper, and it doesn't hand you every name on the post: it gives you the people who fit.

Step by step:

1.  **Describe your buyer first.** Give traxy your website and it drafts your ICP and the signals to watch, then you fix anything that's off. Set lead criteria for roles, seniority, locations, company size and industry ([lead criteria](https://docs.traxy.ai/discovery/lead-criteria) ). The fit check is only as good as this description.
    
2.  **Keep known non-buyers out.** Put existing customers' and competitors' domains on the Blocklist (Settings > Blocklist). It excludes those companies and specific people from future lead discovery.
    
3.  **Add the post.** Open Targeting > Single posts > New > Track post, paste the URL, then review the candidate scope and confirm **Find leads** ([Tracking](https://docs.traxy.ai/discovery/tracking) ). It works for your own post, a competitor's or an influencer's.
    
4.  **Or ask trax.** Paste the post URL into trax and say you want its audience, for example: "Find the people engaging with this post who fit our ICP." From Claude, ChatGPT, Cursor, Codex or Grok, the traxy MCP can qualify the audience of one LinkedIn post after you confirm the capacity use.
    
5.  **Wait for processing, then open the results.** Processing can take time, so check the result before you submit the same post again. Open **Single posts** to see posts added by link and their qualified leads.
    
6.  **Follow the author, if the post is part of a pattern.** To cover someone's future posts instead of one post, use Targeting > People > Track profile. Ongoing monitoring follows a window of the five most recent posts published after the profile is added, and older posts go in one by one as single posts. There are no tracking limits on profiles, posts or company pages.
    

If you sell into several segments, raise the bar inside traxy without changing the threshold: filtering for a higher match shows you a tighter list, while 50% stays the line for who counts as a lead.

## What does each lead show, and why can the count be lower than the likes?

Each lead shows the post, comment, like or repost that put them on your list, plus their role, company and ICP match. The number of leads is usually lower than the like count, because the candidate count is people to evaluate, not a promise of qualified leads.

What to check on each lead before you use it:

-   **The Signals tab.** Open the lead and check the source and the date of the activity before you mention it in a message ([leads](https://docs.traxy.ai/leads/overview) ).
    
-   **The signal label.** traxy labels each signal Warm (a direct signal relevant to your offer), Related (contextual evidence) or Activity (observed activity with a weaker connection to your offer) ([signals](https://docs.traxy.ai/discovery/signals) ). Signal labels and ICP match answer different questions, so check both.
    
-   **The match.** An ICP match says the person looks like your buyer. It is not the chance they will buy, and a like is not a purchase decision.
    

Why the count drops: candidate counts describe people to evaluate, not a guaranteed number of qualified leads ([Tracking](https://docs.traxy.ai/discovery/tracking) ). Peers, vendors and people outside your ICP fall out, people on your Blocklist stay out, and a post whose audience is mostly creators can return no qualified leads at all. A small list from a big post is the fit check working, not a fault.

To keep a post's leads together, save a view while the post's lead scope is selected: the saved view keeps that scope ([saved views](https://docs.traxy.ai/leads/saved-views) ). Tags, notes and assigned owners keep teammates from contacting the same person twice.

## How do you export the qualified likers to CSV or get their work emails?

Select the leads, choose export, pick the columns and download the CSV when it's ready; past exports are kept under Settings > Exports ([exports](https://docs.traxy.ai/leads/exports-and-recovery) ). For work emails, open a lead and run the email lookup, which finds a verified work email for that lead.

1.  **Export.** Leads > select the post's leads > export > pick columns > download. The file holds the likers who fit, not every liker on the post.
    
2.  **Look up emails one by one.** Open a lead and use the email lookup action, or ask trax or your AI chat to request it.
    
3.  **Or turn on Auto-Enrich.** In Auto-Enrich settings, choose the contact types, and traxy looks up contact data automatically for newly qualified leads. It does not backfill leads you already have, so run lookups on older leads by hand.
    
4.  **Or send them somewhere else.** Qualified leads can go to Slack, a webhook, Clay, n8n or Zapier if another tool runs your outreach.
    

Treat a looked-up email like any other: it is a lead's work address, and you confirm it when you get a reply or a bounce. [How to choose a tool that turns one post URL into qualified engagers with work emails](https://traxy.ai/blog/linkedin-post-url-qualified-engagers-work-emails)  compares the ways to get from a post to verified emails if you are still picking tools.

## How do you reach the likers with LinkedIn and email outreach?

Put the post's qualified likers in a traxy campaign, test it on sample leads, review the launch and approve it; then the campaign sends personalized LinkedIn and email messages from the sender accounts you connected. Nothing sends before you approve.

1.  **Connect your senders.** Outbound > Sender accounts > Add sender, for LinkedIn accounts and mailboxes, with limits, active hours, ramp-up and email signatures. Sending needs connected sender accounts.
    
2.  **Create the campaign.** Outbound > Campaigns > Create campaign, or ask trax. Give it the audience (the saved view of the post's leads), your offer and the research you need ([create a campaign](https://docs.traxy.ai/campaigns/create) ).
    
3.  **Let it research each lead.** The campaign researches every lead for the facts you ask for, such as what the company sells or whether it is hiring, before any message is prepared. A research-only campaign records the findings without sending.
    
4.  **Group and prepare.** Leads are grouped by signal and each group gets its own message variant, personalized with the evidence. traxy prepares the drafts; you edit them.
    
5.  **Test on sample leads.** The test runs the plan on a few leads so you can read the research and drafts. Nothing is sent.
    
6.  **Review the launch.** Before launch you see who joins, who is skipped because another campaign holds them or they were contacted before, the sender, the steps and the delivery mode ([review and launch](https://docs.traxy.ai/campaigns/review-and-launch) ).
    
7.  **Approve and run.** Pick the delivery mode: approve each message in a review queue, or let the approved campaign send on its own. Sequences run over LinkedIn and email, waits can depend on events such as a connection being accepted, and replies, unsubscribes and hard bounces stop the sequence ([sequences](https://docs.traxy.ai/outreach/sequences) ).
    

That is the autopilot part, and it always comes after your approval: once you approve the launch, the campaign runs on its own from your connected accounts, or you keep approving every message. Replies land in one inbox. You can run the same steps from Claude or ChatGPT through the traxy MCP, which shows what it will do and waits for your yes in chat before anything sends or launches. For the outreach half in more depth, see [LinkedIn outbound with traxy](https://traxy.ai/linkedin-outbound) .

Settings > Do not contact stops outreach to specific emails or LinkedIn profiles, which is the place for anyone who asked not to hear from you.

## What should the first message to a liker say?

Mention the post's topic only as context, and don't claim the person agreed with every line of it. A like gives you a topic, not an opinion, so the message should be about the problem the post was about and why you are writing.

A fictional example, for someone who liked a post about ramping new sales reps:

> "Dana's post on ramping first sales hires made me think of teams like yours. We help seed-stage software teams shorten that first quarter for new reps. Is it on your list this year, or already solved?"

What makes it work: it names the topic, not the like itself; it says what you do in one line; and it asks a question the person can answer quickly. Let the campaign's research add one fact about their company when it's relevant. If several of a person's likes point at the same problem, say the topic, not the count. And when a liker also commented, answer the comment instead; check the lead's Signals tab for both.

## How does lead capacity count?

A person uses your workspace capacity once, when they are first delivered as a visible qualified lead. Finding them again, recording another signal, enriching their contact details, exporting, deleting or restoring them doesn't count them again, and candidate and scan counts are not charges ([plan and capacity](https://docs.traxy.ai/workspace/plan-and-capacity) ).

In practice that means a liker who shows up on three of your tracked posts counts once, and a post with a large candidate scope only uses capacity for the people who qualify. Every discovery source draws from the same workspace capacity. For plan details, see [pricing](https://traxy.ai/pricing) .

## When is a raw export of every liker the better pick?

A raw export of every liker fits better than traxy when you need the whole audience as data rather than people to contact: to study who a creator's posts reach, to compare two posts' audiences, or to run your own scoring model. traxy doesn't give you every name on a post, so in those cases a hand copy or an export tool does the job, and our [scraper comparison](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers)  covers which tool exports what.

traxy fits better when the goal is high intent leads and the outreach to them: the fit check, the like behind each lead, work emails, research on each lead and approved LinkedIn and email outreach in one place.

## FAQ

### Can I download the list of people who liked my LinkedIn post?

Not from LinkedIn. Its help pages describe reaction counts in post analytics, an .XLSX export of analytics totals and a repost list, but no download of the people who reacted. Copy the names by hand, use an export tool, or track the post in traxy to export only the likers who fit your ICP.

### Does traxy export everyone who liked a post?

No. traxy returns the engagers with a 50%+ ICP match, each with the like or comment behind them. If you need every name on the post, a hand copy or an export tool fits that job better.

### Can I get the likers of someone else's post, such as a competitor's?

Yes. Paste any LinkedIn post URL into Targeting > Single posts > Track post, or into trax: your own, a competitor's or an influencer's. To follow a competitor's future posts, track their profile instead.

### Does LinkedIn's data download include the people who liked my posts?

No. It includes the reactions you made, and LinkedIn says it only provides your own data, not other members'.

### Why did a post with hundreds of likes give me only a few leads?

Candidate counts are people to evaluate, not a guaranteed number of leads. Only people with a 50%+ ICP match qualify, so posts whose audience is mostly peers, creators or vendors return few or none.

### Are likers worth contacting at all?

Some are. A like from someone who fits your buyer, on a post about the problem you solve, is a reason to start a relevant conversation. It is not a decision to buy, so make the message about the topic and keep it short.

### Will traxy message the likers without asking me?

No. You test the campaign on sample leads, review the launch and approve it. After that it sends from your connected accounts on its own, or you approve every message in a review queue. Replies, unsubscribes and hard bounces stop the sequence.

### Do exports or email lookups use more lead capacity?

No. A person counts once, when first delivered as a qualified lead. Exporting, enriching or finding them again doesn't count again.

## Next step

Pick one post your buyers liked, paste its URL into [traxy](https://traxy.ai/)  and compare the people who fit your ICP with the full like count. Then test a campaign on a few of them before anything sends.

[Back to all articles](https://traxy.ai/blog) 

## Keep reading

[All LinkedIn Lead Generation guides](https://traxy.ai/blog/topics/linkedin-lead-generation) 

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## LinkedIn GTM examples: real workflows, from profile viewers to campaigns run from Claude

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## Are Your Buyers Active on LinkedIn? How to Check Before You Invest in LinkedIn Outreach

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