--- title: "Best LinkedIn Post Engagement Scrapers (2026) | traxy" description: "The best LinkedIn post engagement scrapers in 2026, from PhantomBuster and Apify to Derrick and Waalaxy, and when to qualify engagers instead of exporting." canonical: "https://traxy.ai/blog/best-linkedin-post-engagement-scrapers" last_updated: "2026-11-12" --- # Best LinkedIn Post Engagement Scrapers (2026) | traxy > The best LinkedIn post engagement scrapers in 2026, from PhantomBuster and Apify to Derrick and Waalaxy, and when to qualify engagers instead of exporting. [Home](https://traxy.ai/) [Blog](https://traxy.ai/blog) [traxy vs Alternatives](https://traxy.ai/blog/topics/traxy-vs-alternatives) Tools & comparisons # The best LinkedIn post engagement scrapers in 2026, and when you need more than a scraper The best LinkedIn post engagement scrapers in 2026, from PhantomBuster and Apify to Derrick and Waalaxy, and when to qualify engagers instead of exporting. By the traxy teamPublished Nov 11, 2026Updated Nov 12, 202625 min read ![Best LinkedIn post engagement scrapers (2026): export the likers and commenters, or qualify them — traxy blog](https://traxy.ai/assets/blog-covers/best-linkedin-post-engagement-scrapers.jpg) **In this article**[Which tools scrape leads from LinkedIn engagement, and what does each one extract?](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#which-tools-scrape-leads-from-linkedin-engagement-and-what-does-each-one-extract) [What tools can scrape leads from my LinkedIn engagement?](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#what-tools-can-scrape-leads-from-my-linkedin-engagement) [What's the best LinkedIn post engagement scraper?](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#whats-the-best-linkedin-post-engagement-scraper) [How do I tell real buyers apart from peers who engage with my LinkedIn posts?](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#how-do-i-tell-real-buyers-apart-from-peers-who-engage-with-my-linkedin-posts) [What tool qualifies a LinkedIn post engager when the headline does not say their role or company?](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#what-tool-qualifies-a-linkedin-post-engager-when-the-headline-does-not-say-their-role-or-company) [How we picked and compared](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#how-we-picked-and-compared) [The best LinkedIn post engagement scrapers compared](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#the-best-linkedin-post-engagement-scrapers-compared) [The tools, one by one](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#the-tools-one-by-one) [Which other tools export LinkedIn post likers and commenters?](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#which-other-tools-export-linkedin-post-likers-and-commenters) [How do I export the people who commented on a LinkedIn post?](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#how-do-i-export-the-people-who-commented-on-a-linkedin-post) [Are post engagement scrapers good Embers alternatives?](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#are-post-engagement-scrapers-good-embers-alternatives) [What does an export of post engagers leave out?](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#what-does-an-export-of-post-engagers-leave-out) [When is a raw scraper the better pick?](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#when-is-a-raw-scraper-the-better-pick) [What has to happen after the scrape?](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#what-has-to-happen-after-the-scrape) [After the export: how do you qualify, find emails and reach out?](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#after-the-export-how-do-you-qualify-find-emails-and-reach-out) [How do you turn one post's engagers into outreach in traxy?](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#how-do-you-turn-one-posts-engagers-into-outreach-in-traxy) [Can a tool go back through the engagers on months of older posts?](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#can-a-tool-go-back-through-the-engagers-on-months-of-older-posts) [Examples from traxy users](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#examples-from-traxy-users) [FAQ](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#faq) [Related reading](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#related-reading) [Open product docs](https://docs.traxy.ai/) **TL;DR:** The best LinkedIn post engagement scrapers in 2026 are Apify's HarvestAPI actors for raw likers and commenters by API without a LinkedIn login, PhantomBuster for scheduled exports through your LinkedIn session, Derrick for Google Sheets with an email finder next to the list, and Waalaxy for importing engagers straight into a LinkedIn campaign. If you want leads rather than rows, use traxy, which is not a scraper: it keeps only the engagers with a 50%+ ICP match, shows the post or comment behind each one, then researches them and runs LinkedIn and email outreach from your own accounts after you approve the campaign. traxy runs your entire LinkedIn GTM end to end, from finding high intent leads from social intent (what people post, comment and like on LinkedIn, your profile views, and the people engaging with the posts, profiles and company pages you track) to enriching and researching each one, to running relevant, personalized LinkedIn and email outreach to them on autopilot. Autopilot starts 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. See [LinkedIn outbound with traxy](https://traxy.ai/linkedin-outbound) for the outreach half. This guide ranks the tools by job, not by feature count. Three related guides go deeper on one piece each, so this one doesn't repeat them: [PhantomBuster alternatives for post engagers](https://traxy.ai/blog/phantombuster-alternatives-linkedin-post-engagers) if you are replacing PhantomBuster, [how to extract comments from a LinkedIn post](https://traxy.ai/blog/extract-linkedin-post-comments) if you only need the comments, and [how to turn one post URL into qualified engagers with work emails](https://traxy.ai/blog/linkedin-post-url-qualified-engagers-work-emails) if the goal is emails for one post's engagers. _traxy wrote this guide and is one of the tools compared. Competitor details come from each vendor's own pages, linked in each entry and checked November 2026, and each entry says where that tool fits better than traxy. Pricing is left out because it changes often._ ## Which tools scrape leads from LinkedIn engagement, and what does each one extract? PhantomBuster, TexAu, Apify, Listful, Taplio and Clay each scrape the people who liked or commented on LinkedIn posts into rows or lists, while traxy keeps only the engagers who fit your ICP, each with the post, comment or like behind them. The table shows what each tool's own page says it extracts, its stated limits, and what happens once you have the list. Tool Best fit What it extracts Stated limits What happens after the list traxy Outreach to the engagers who fit your ICP Paste any LinkedIn post URL or track your own profile; get the engagers with a 50%+ ICP match, each with the post, comment or like behind them; export to CSV with the columns you choose A post can return no qualified leads, and new qualified leads use your workspace capacity Research on each lead, then LinkedIn and email outreach from your own connected accounts after you approve the launch PhantomBuster Scheduled exports of many posts Likers: profile URL, name, current job and company, connection degree, reaction type. Commenters: comment text, date and comment URL Needs a LinkedIn account connected through its browser extension; LinkedIn shows up to 3,000 people who liked a post CSV or JSON; its Post Engagers to Lead Outreach workflow sends connection requests and follow-ups TexAu Desktop Agencies exporting from client accounts on their own machine People who liked a post and people who commented on a post, as separate automations, to CSV Up to 2,500 likers and 2,500 commenters Connect and message from your client's LinkedIn account Apify (HarvestAPI reactions actor) Raw data by API without a LinkedIn login Reaction type, name, position, LinkedIn profile URL, picture and post ID; no email field in its sample output "No cookies or account required"; the LinkedIn website "stops loading more reactions after 1218 items" A dataset you pull by API or download Listful A CSV of one post's reactions from your own browser Profile URL, name, headline, location, job title, reaction type, connection degree, Sales Navigator profile URL, post URL and post ID; no email column A Chrome extension on your own LinkedIn session, exporting only what your session can see; up to 3,000 people per post; reactions from company pages are skipped; commenters are a separate export A CSV, or rows sent to your own tools by webhook; emails are a separate lookup Taplio Creators who want to know who engages with their own posts "Liked My Posts" and "Commented my posts" contact lists that fill on their own Waits about 1 to 2 days before fetching a new post's likes and comments, then re-checks every few days for a week Export the list for outreach Clay GTM engineers building their own workflow The top reactions or top comments on a post, from its URL Up to 50 reactions or 10 comments per action Enrichment and scoring you build, then a push to your sending tool _Competitor rows come from each vendor's own pages, checked November 2026: PhantomBuster's [Likers Export](https://support.phantombuster.com/hc/en-us/articles/26970934696210-How-to-Use-the-LinkedIn-Post-Likers-Export) and [Commenters Export](https://support.phantombuster.com/hc/en-us/articles/26970963368338-How-to-Use-the-LinkedIn-Post-Commenters-Export) , TexAu Desktop's [automations](https://desktop.texau.com/automations) , HarvestAPI's [post reactions actor](https://apify.com/harvestapi/linkedin-post-reactions) on Apify, Listful's [post likers export](https://www.listful.so/export/post-likers) , Taplio's [likers and commenters lists](https://intercom.help/taplio/en/articles/17749450-contacts-how-do-likers-and-commenters-lists-work) and Clay's [professional posts actions](https://university.clay.com/docs/professional-posts) . Prices are left out._ **Where each fits better than traxy:** pick one of the six when you want every engager as rows or a list you work yourself, for audience research, your own scoring or a one-off CSV. Taplio fits a creator who mainly wants to see who engages with their own posts. traxy fits when the list is for outreach: it runs your entire LinkedIn GTM end to end, from finding high intent leads from social intent to enriching and researching each one, to running relevant, personalized LinkedIn and email outreach to them on autopilot. Autopilot starts after you approve the campaign launch, or you approve every message. See [LinkedIn outbound with traxy](https://traxy.ai/linkedin-outbound) . ## What tools can scrape leads from my LinkedIn engagement? Three kinds of tools pull leads out of LinkedIn engagement: exporters that turn a post URL into rows (PhantomBuster, Apify actors, Derrick), automation tools that import engagers into a LinkedIn campaign (Waalaxy, Linked Helper), and tools that check each engager against your ICP before they become leads (traxy, Embers, Teamfluence, Signado). The first two kinds give you everyone who engaged. The third gives you the people worth contacting. "My LinkedIn engagement" usually means more than one post. Here is where the people are, and which tools read each source: - **Your own posts.** Every exporter in this guide takes a post URL. In traxy, track your own profile and the engagement on your posts turns into qualified leads, without pasting each post. - **Your profile views.** A post scraper doesn't read these. In traxy, turn on the Profile views switch under Targeting > Signals to turn your profile views into leads, then filter Leads by who viewed your profile, any time or in the last 7, 30 or 90 days. Waalaxy's auto-import also has a "Visit on profile" source ([Waalaxy auto-imports](https://intercom.help/waalaxy/en/articles/6413047-auto-imports-how-to-scrap-automatically-prospects-into-waalaxy) , checked November 2026). - **Your company page.** traxy tracks a company by domain or LinkedIn page and reads its page posts for engagers who fit your ICP. PhantomBuster's Post Engagers to Lead Outreach workflow accepts a company page as its source ([PhantomBuster](https://support.phantombuster.com/hc/en-us/articles/30102225953042-How-to-Use-the-LinkedIn-Post-Engagers-to-Lead-Outreach) , checked November 2026). - **Your team's and clients' posts.** Track each profile in traxy with a relationship such as teammate, so engagers on all of them are checked against the same ICP. - **Posts you don't own.** Competitors, creators and industry voices. The exporters take any post URL you paste. traxy can track the author's profile, so their new posts are covered too. If you would rather skip the post entirely, traxy's [social intent search](https://traxy.ai/social-intent-search) lets you describe the buyer and the need in plain English and search 71M+ scanned LinkedIn likes, posts and comments, with the source on every result. ## What's the best LinkedIn post engagement scraper? For raw rows, the best scraper is the one that fits where the data goes next: Apify's HarvestAPI actors for an API with no LinkedIn login, PhantomBuster for scheduled cloud exports, Derrick for Google Sheets, and Waalaxy if the engagers should go straight into a LinkedIn campaign. If the goal is leads, not rows, the better pick is a tool that qualifies engagers instead of exporting all of them, such as traxy. Pick by the job: - **Every liker and commenter as data for your own system:** Apify actors. - **Many posts exported on a schedule, next to other scrapers you run:** PhantomBuster. - **The list and an email finder in one Google Sheet:** Derrick. - **Commenters invited and messaged on LinkedIn right away:** Waalaxy, or Linked Helper if you already run Linked Helper campaigns. - **Your own scoring and enrichment built around the scrape:** Clay running an Apify actor. - **Only the engagers who fit your ICP, researched and contacted over LinkedIn and email after you approve:** traxy. A scraper returns everyone LinkedIn shows it. On most posts that list mixes buyers with peers, vendors, recruiters and job seekers, so the scrape is the start of the work, not the end. The [raw list vs qualified leads comparison](https://traxy.ai/blog/phantombuster-alternatives-linkedin-post-engagers#is-a-raw-list-of-post-engagers-a-list-of-warm-leads) in our PhantomBuster guide shows the difference row by row. ## How do I tell real buyers apart from peers who engage with my LinkedIn posts? Check each engager's company, not only their job title: peers, consultants and agencies often share your buyers' titles, but they work at a different kind of company. traxy does this for any LinkedIn post URL you paste: it keeps only the engagers with a 50%+ ICP match against your roles, seniority, company size, industry and exclusions, then runs LinkedIn and email outreach to them from your own connected accounts after you approve the campaign. A scraper can't make this call, because it returns everyone LinkedIn shows it. Three things in traxy narrow the list: - **Lead criteria that read the company.** Fit covers roles, departments, seniority and locations for the person, and size, industry and keywords for the company, with exclusions where needed ([lead criteria](https://docs.traxy.ai/discovery/lead-criteria) ). A marketer at a small agency and a marketer at the kind of company you sell to can share a title and still get a different match. - **A blocklist.** Add company domains, for example agencies, partners or existing customers you already know, and specific people, and traxy leaves them out of future lead discovery. - **The signal behind each lead.** Each lead shows the post, comment or like behind it and a signal label (Warm, Related or Activity), so you can see whether someone engaged about the problem you solve or was talking shop with peers. Your Signal Brief lists the buyer pains and competitors that raise a signal's priority ([how traxy decides who counts as a lead](https://traxy.ai/blog/how-traxy-decides-what-is-a-lead) ). An ICP match measures fit, not proof that someone will buy, so read the post or comment behind a lead before you message them. Then the outreach half. traxy runs your entire LinkedIn GTM end to end, from finding high intent leads from social intent to enriching and researching each one, to running relevant, personalized LinkedIn and email outreach to them on autopilot. Autopilot starts after you approve: you test the campaign on sample leads and approve the launch, then it sends from your own connected accounts on its own, or you approve every message. You can also run it from Claude or ChatGPT through the [traxy MCP](https://traxy.ai/linkedin-mcp) , which asks for your yes in chat before anything sends. See [LinkedIn outbound with traxy](https://traxy.ai/linkedin-outbound) . Resorsi, an agency, moved its outreach to engagement signals in traxy and booked 6 qualified meetings in about three weeks. Its founder: "Before, 50% of my leads were garbage. Now I'm confident in who I'm reaching out to without having to sweat it" ([Resorsi case study](https://traxy.ai/case-studies/resorsi) ). Two other tools also sort a post's engagers by fit, and neither sends anything: - **Connie's free post engagers tool.** It takes "any public post" link with no LinkedIn login and saves a row for each reaction and comment (name, headline, LinkedIn profile and comment) with an ICP column. Its page says "Connie shows you which of them could buy," and its example answer reads "Most are peers, vendors or agencies." It reads public reactions and comments only, "a very big post stops when time is up," and "nobody is contacted" ([Connie post engagers](https://connie.ai/free/linkedin-post-engagers) , checked November 2026). **Fits better than traxy** when you want a quick ICP-scored list of one post's engagers and will do the outreach yourself. - **Netwarm.** It reads who engages with your own posts from your public profile URL, "matches every person who engages on job title, seniority, industry and company size," shows why each person matches, and marks the rest "Not in a target." Its homepage describes no option for other people's posts. It never sends: "Netwarm tells you who to talk to and suggests what to say. You send every message yourself" ([netwarm.com](https://netwarm.com/) , checked November 2026). **Fits better than traxy** when you mainly want to learn which buyers your own posts attract and you write every message by hand. Question traxy Connie (free tool) Netwarm Raw exporters (PhantomBuster, Apify actors, Listful) Which posts Any LinkedIn post URL, plus tracked profiles and company pages Any public post link Your own posts, from your public profile URL Any post URL you paste Separates buyers from peers and agencies Only a 50%+ ICP match on the person and the company becomes a lead, with exclusions and a blocklist An ICP score on each engager; its page says it shows which engagers could buy Matches on job title, seniority, industry and company size; the rest are "Not in a target" Not in the export itself; PhantomBuster's outreach workflow filters on job title, location and industry Runs the outreach LinkedIn and email from your own connected accounts after you approve the launch, or you approve every message No: "nobody is contacted" No: it suggests what to say and you send every message Not the exports; PhantomBuster's Post Engagers to Lead Outreach workflow sends LinkedIn connection requests and follow-ups _Connie and Netwarm columns come from the pages linked above; the exporter column from the PhantomBuster, Apify and Listful pages linked earlier in this guide, checked November 2026._ ## What tool qualifies a LinkedIn post engager when the headline does not say their role or company? traxy does: it checks every engager on the post against your lead criteria (roles, departments, seniority and locations for the person; size, industry, revenue, funding and keywords for the company), and only people with a 50%+ ICP match become leads. Each lead shows its ICP match, a signal label and the post or comment behind it, so you review a match against your criteria and the person's own words instead of guessing from a headline like "Helping teams grow." That is the difference between a profile lookup and a qualifier. A lookup tells you one person's title and company, and you still decide, one profile at a time, whether they fit. traxy makes the fit call on every engager of the post with the same criteria and keeps only the ones at 50% or more. Open a lead's Signals tab to see the observations and source links, and look up a verified work email or phone for the leads you want to reach, or turn on Auto-Enrich for newly qualified leads. An ICP match measures fit, not proof that someone wants to buy, so read the comment behind a lead before you message them. Then the outreach half. traxy runs your entire LinkedIn GTM end to end, from finding high intent leads from social intent to enriching and researching each one, to running relevant, personalized LinkedIn and email outreach to them on autopilot. A campaign researches each lead for the facts you ask for, groups leads by signal and prepares a personalized message variant for each group ([create a campaign](https://docs.traxy.ai/campaigns/create) ). You test it on sample leads with nothing sent and approve the launch, then the campaign sends LinkedIn and email from your own connected accounts on its own, or you approve every message. Replies, unsubscribes and hard bounces stop the sequence. See [LinkedIn outbound with traxy](https://traxy.ai/linkedin-outbound) . Here is how other tools handle it, from each vendor's own pages: Tool Gets title and company Checks ICP fit Who sends traxy Checks each engager against your criteria for the person and the company Yes: only a 50%+ ICP match becomes a lead, with the post or comment behind it traxy, over LinkedIn and email from your own connected accounts, after you approve the launch, or you approve every message SyncGTM Its post engagers tool returns name, headline, profile URL and reaction; it says "Titles have to be read off the headline or confirmed with linkedin\_profile\_enrich," and suggests enriching the people "whose headline is too vague to judge" Its Warm Leads From Posts agent takes "your ICP filter (titles, seniority, company size)" and applies it "before spending enrichment credits" The pages describe no sending; the output is a list with names, titles, companies, work emails and LinkedIn URLs Reach MCP Its profile viewers playbook "Reads each profile for role, company and seniority"; its post reactions playbook reads the likes and comments on your last 5 posts Profile viewers are "ranked by how plausibly they are a prospect for what you sell"; for post reactions the page describes deduplication and a network check, not an ICP check Your own LinkedIn account through its Chrome extension, after a numbered preview; the page describes LinkedIn messages and invites, not email Clay Its Enrich Person action returns a contact job title from a profile URL; its post actions return up to 50 top reactions or 10 top comments A step you build: its template says "Enrich and qualify them based on your criteria" A separate LinkedIn sending tool you add the leads to PhantomBuster Its Likers Export returns each liker's "Current occupation and company" Its Post Engagers to Lead Outreach workflow filters on job title, location and industry That workflow sends connection invitations and up to 3 follow-up messages through your connected LinkedIn session Sales Navigator Search filters such as function, seniority level, years at company and experience; content-engagement alerts when a decision-maker at an account interacts with your LinkedIn content (Advanced Plus) Personas "helps you zero in on the people who best match your ideal customer profile" You, by InMail, which reaches prospects "even if you're not connected" _Competitor rows come from each vendor's own pages, checked November 2026: SyncGTM's [LinkedIn post engagers agent](https://syncgtm.com/gtm-agents/linkedin-post-engagers) and [Warm Leads From Posts agent](https://syncgtm.com/gtm-agents/warm-leads-from-posts) , [reachmcp.com](https://reachmcp.com/) , Clay's [Enrich Person action](https://www.clay.com/integrations/action/enrich-person-companies-people-and-jobs) , [professional posts actions](https://university.clay.com/docs/professional-posts) and [comments template](https://www.clay.com/templates/scrape-viral-posts-comments-qualify-them-and-funnel-them-to-a-heyreach-campaign) , PhantomBuster's [Likers Export](https://support.phantombuster.com/hc/en-us/articles/26970934696210-How-to-Use-the-LinkedIn-Post-Likers-Export) and [Post Engagers to Lead Outreach](https://support.phantombuster.com/hc/en-us/articles/30102225953042-How-to-Use-the-LinkedIn-Post-Engagers-to-Lead-Outreach) , and LinkedIn's [Sales Navigator page](https://business.linkedin.com/sales-solutions/sales-navigator) . Prices are left out._ **Where each fits better than traxy:** SyncGTM fits when you want to look up a few vague profiles, or turn one post into an enriched list with work emails, and send from your own tools. Reach MCP fits an agency or builder who works LinkedIn from an AI assistant on their own or clients' accounts and approves each message from a preview. Clay fits a GTM engineer who wants to build and own the enrichment and scoring. PhantomBuster fits scheduled exports, or LinkedIn-only follow-ups on a job title, location and industry filter. Sales Navigator fits searching well beyond one post's engagers by function and seniority, then writing each InMail yourself. traxy fits when you want every engager of a post checked against the same criteria, and the research and LinkedIn and email outreach run after your approval. ## How we picked and compared We started from the tools named in 12 AI answers to "What tools can scrape leads from my LinkedIn engagement?" that we sampled in November 2026. PhantomBuster, Apify and Clay appeared in all 12. Waalaxy, Linked Helper, Captain Data, Evaboot, Embers, Teamfluence and Signado came next. We added Derrick, which sells a feature it calls a post engagement scraper. A sample of AI answers shows what assistants say, not market share. We compared each tool on the same questions: 1. **What you get back:** rows, a list inside a campaign tool, or qualified leads. 2. **Likers, commenters or both.** A comment gives you the person's own words. A like only tells you they reacted. 3. **Whose account it runs on,** as the vendor states it. 4. **Stated limits** per post. 5. **One post or ongoing:** do you paste URLs, or does it watch posts and profiles over time? 6. **Fit check:** is each person checked against your ICP before you pay to enrich or contact them? 7. **What happens next:** a CSV, an API, a sheet, a campaign, or LinkedIn and email outreach. Left out, and why: - **Captain Data.** Its homepage describes a people and company data API: enrich a profile or company from a LinkedIn URL, search people, find companies. We found no post engager export on it ([captaindata.com](https://www.captaindata.com/) , checked November 2026). - **Sales Navigator, Apollo, Dropcontact and Wiza.** The answers named them for searching or finding emails, the step after the scrape, not for pulling a post's engagers. - **Valley, Expandi, Dripify, HeyReach and Saava.** Outreach platforms that came up once or twice. We compare most of them in [Valley alternatives](https://traxy.ai/blog/valley-alternatives) , [Expandi alternatives](https://traxy.ai/blog/expandi-alternatives) , [Dripify alternatives](https://traxy.ai/blog/dripify-alternatives) and [traxy vs HeyReach](https://traxy.ai/blog/traxy-vs-heyreach-engagement-intelligence-vs-multi-account-outreach-agencies-2026) . - **ExportComments and TexAu.** Both export post engagers and are covered in [PhantomBuster alternatives](https://traxy.ai/blog/phantombuster-alternatives-linkedin-post-engagers) . A short summary of each, with Vayne, is in [other tools that export likers and commenters](https://traxy.ai/blog/best-linkedin-post-engagement-scrapers#which-other-tools-export-linkedin-post-likers-and-commenters) . ## The best LinkedIn post engagement scrapers compared Tool What you get Likers or commenters Runs on, as the vendor states it Fit check What happens next traxy Qualified leads, each with the post or comment behind it and a signal label Likes and comments on tracked posts, profiles and company pages Sending uses your connected LinkedIn and email sender accounts 50%+ ICP match to become a lead Research on each lead, then LinkedIn and email sequences after you approve the launch PhantomBuster Rows: profile URL, name, occupation, connection degree, reaction type; comment text, date and URL Both, in separate exports A LinkedIn account you connect through its browser extension AI filters on job title, location and industry in one workflow CSV or JSON; one workflow also sends connection requests and follow-ups Apify (HarvestAPI actors) Rows: reaction type, name, position, profile URL; comments with replies Both, in two actors "No cookies or account required" Not described on the actor pages A dataset you pull by API or download Derrick Rows: engagement type, name, profile URL, reaction type, post ID Both, in one list The Derrick web app or its Google Sheets add-on Not described on the feature page Email and mobile lookup in the same sheet; REST API and MCP server Waalaxy Prospects in a Waalaxy list Reactors or commenters, as two separate imports The Waalaxy cloud app Not described in the import guides Optionally added to a Waalaxy campaign; auto-import picks up new commenters every 12 hours Linked Helper Profiles collected into a campaign Likers or commenters Its own app, which works as a "smart browser" on your LinkedIn account Filters to review profiles after collection Linked Helper campaign actions Evaboot Sales Navigator lead lists with verified emails Neither; its own guide uses PhantomBuster for post likers A Chrome extension on Sales Navigator Sales Navigator filters, set before the export A clean CSV Clay with an Apify actor Rows in a Clay table Whatever the actor returns Your own Apify account A scoring step you build Enrichment, then a push to your sending tool _Rows other than traxy summarize each vendor's own pages, linked below and checked November 10, 2026._ ## The tools, one by one ### 1\. traxy: when you want qualified leads, not rows **traxy is not a scraper. It checks each engager against your lead criteria and keeps only people with an ICP match of at least 50%, then researches them and runs the outreach after you approve it.** - **Where engagers come from:** Track post (paste any post URL, review the candidate scope, confirm Find leads), Track profile (a competitor, teammate, influencer, investor, your own profile or a custom relationship), Track company (a domain or company page), Profile views, and [Signals](https://docs.traxy.ai/discovery/signals) , which find people who post, comment or like about the problems you set. For a tracked profile, ongoing monitoring follows a managed window of the five most recent posts published after you added it, and you track an older post directly ([Tracking docs](https://docs.traxy.ai/discovery/tracking) ). - **The fit check:** qualification needs an ICP match of at least 50% against your roles, seniority, locations, company size and industry, plus any exclusions ([how qualification works](https://docs.traxy.ai/discovery/qualification) ). Each lead carries a signal label, Warm, Related or Activity, and the post, comment or like behind it. Candidate counts describe people to evaluate, not a promised number of leads, and a post can return none. - **Enrich:** look up a verified work email or a phone number on a lead, or turn on Auto-Enrich for newly qualified leads. Auto-Enrich doesn't backfill older leads ([contact details](https://docs.traxy.ai/leads/contact-details) ). - **Research and campaigns:** a campaign researches each lead for the facts you ask for, groups leads by signal and prepares a personalized message variant for each group ([create a campaign](https://docs.traxy.ai/campaigns/create) ). You can run many campaigns at once on different signals. - **Test and approve:** a test on sample leads prepares research and drafts with nothing sent. The launch review shows who joins, who is skipped because another campaign holds them or a past campaign contacted them, the sender, the steps and the delivery mode ([review and launch](https://docs.traxy.ai/campaigns/review-and-launch) ). Then the approved campaign sends on its own, or you approve every message in a review queue. - **Send and stop:** LinkedIn and email go out from your own connected sender accounts. Replies, unsubscribes and hard bounces stop the sequence, and each lead has one inbox conversation across both channels ([sequences](https://docs.traxy.ai/outreach/sequences) ). - **Ways to run it:** by hand in the app, through trax (the traxy agent), or from Claude, ChatGPT, Codex, Cursor or Grok through the [traxy MCP](https://traxy.ai/linkedin-mcp) , which asks for your yes in chat before anything sends. Leads can also go out as a CSV with the columns you choose, or to Slack, a webhook, Clay, n8n or Zapier. Teams switching to traxy leads from other tools usually see LinkedIn reply and acceptance rates about double. Platter's reply rate went from about 20% to 41% after it rebuilt its LinkedIn outbound on traxy engagement signals ([Platter case study](https://traxy.ai/case-studies/platter) ). **Where a raw scraper fits better:** if you need every liker and commenter on a post as data, for audience research, a creator report or your own scoring model, traxy is the wrong tool. It drops engagers below a 50% ICP match, and new qualified leads use your workspace capacity. Use an exporter for that job. ### 2\. PhantomBuster: when you want scheduled exports of many posts PhantomBuster's LinkedIn Post Likers Export and Post Commenters Export take a single post URL, a Google Sheet of post URLs or a CSV file. Both need a LinkedIn account connected through PhantomBuster's browser extension. The likers export returns each person's profile URL, name, occupation and company, connection degree and reaction type, and notes that LinkedIn shows only up to 3,000 people who liked a post. The commenters export returns comment text, date, comment URL and likes on each comment, and says posts with 10,000 to 20,000 or more comments may not allow full extraction. Watcher mode re-processes the same posts on later runs to pick up new activity, launches can run on a schedule, and results download as CSV or JSON ([Likers Export](https://support.phantombuster.com/hc/en-us/articles/26970934696210-How-to-Use-the-LinkedIn-Post-Likers-Export) , [Commenters Export](https://support.phantombuster.com/hc/en-us/articles/26970963368338-How-to-Use-the-LinkedIn-Post-Commenters-Export) , checked November 2026). Its Post Engagers to Lead Outreach workflow takes one source (a post, a company page, a profile or a post search), applies AI filters on job title, location and industry, then sends connection requests and follow-ups ([Post Engagers to Lead Outreach](https://support.phantombuster.com/hc/en-us/articles/30102225953042-How-to-Use-the-LinkedIn-Post-Engagers-to-Lead-Outreach) ). **Fits better than traxy** when you want every engager on many posts as rows, on a schedule, and PhantomBuster already runs your other scrapes. For limits, account safety and the filters, see [PhantomBuster alternatives for post engagers](https://traxy.ai/blog/phantombuster-alternatives-linkedin-post-engagers) . ### 3\. Apify actors: when you want raw data by API without a LinkedIn login Apify hosts community-built actors. HarvestAPI's LinkedIn Post Reactions Scraper says "No cookies or account required" and returns the reaction type, the person's name, position and LinkedIn URL. Its page notes the LinkedIn website "stops loading more reactions after 1218 items" ([post reactions actor](https://apify.com/harvestapi/linkedin-post-reactions) ). The matching comments actor returns a post's comments with up to five replies each, and can limit comments to a recent time window ([post comments actor](https://apify.com/harvestapi/linkedin-post-comments) , both checked November 2026). Both are paid per event. Apify hosts many other LinkedIn actors, so check each one's inputs and limits before you rely on it. **Fits better than traxy** when a developer or data team wants raw engager data in its own system, at volume, without connecting a LinkedIn account. You build the fit check, enrichment and outreach on top. ### 4\. Derrick: when your team works in Google Sheets Derrick's Import LinkedIn Post Likes & Comments feature takes one or many post URLs, from your posts or anyone's. It says it paginates through all reactors and commenters with "no 100-person cap" and returns five fields per person: engagement type, full name, profile URL, reaction type and post ID. It runs in the Derrick web app or a Google Sheets add-on, and the same feature is available through a REST API and a Derrick MCP server. Its page suggests the next step is enriching the profile URLs with verified emails and mobiles ([Derrick post engagers](https://derrick-app.com/features/import-post-engagers) , checked November 2026). **Fits better than traxy** when your team lives in spreadsheets and wants the engager list and the email finder in the same sheet. The page describes no ICP check, so the filtering is yours. More options are in [Derrick alternatives](https://traxy.ai/blog/derrick-alternatives) . ### 5\. Waalaxy: when engagers should go straight into a LinkedIn campaign In Waalaxy's cloud app you paste a post URL and choose people who reacted or people who commented. These are two separate imports, and you can't combine both at once. The prospects land in a list you pick, and you can add them to an ongoing campaign in the same step ([Waalaxy post import](https://intercom.help/waalaxy/en/articles/10749655-how-to-import-prospects-who-reacted-or-commented-on-a-linkedin-post) ). Its auto-import "Comment on post" source checks for new commenters every 12 hours on the Pro, Advanced and Business plans, with an option to include earlier comments ([Waalaxy auto-imports](https://intercom.help/waalaxy/en/articles/6413047-auto-imports-how-to-scrap-automatically-prospects-into-waalaxy) , both checked November 2026). **Fits better than traxy** when you want commenters invited and messaged on LinkedIn fast and your posts draw mostly buyers. The import guides describe no ICP check, so anyone who commented can enter the campaign. For a side-by-side view, see [traxy vs Waalaxy](https://traxy.ai/blog/traxy-vs-waalaxy-linkedin-engagement-vs-outreach-automation-2026) . ### 6\. Linked Helper: when you already run Linked Helper campaigns Linked Helper can collect a post's likers or commenters, but only when the post is opened through its own URL; the options then appear under its Collect button ([Linked Helper help](https://support.linkedhelper.com/hc/en-us/articles/360015766440-Is-it-possible-to-collect-those-who-liked-or-commented-post) ). Its help center says it "works as a smart browser": it doesn't fetch profiles from LinkedIn's database or offer more filters than your LinkedIn subscription, and its built-in filters let you review profiles after they are collected ([filter and collect](https://support.linkedhelper.com/hc/en-us/articles/360020650460-How-to-filter-and-collect-profiles-via-Linked-Helper) , both checked November 2026). **Fits better than traxy** when your team already runs Linked Helper campaigns and wants post engagers in the same queue, reviewed by hand. ### 7\. Evaboot: a Sales Navigator exporter, not a post scraper Some AI answers name Evaboot next to post scrapers. Its homepage describes a Chrome extension that exports "lead lists and searches from LinkedIn Sales Navigator to a clean CSV file," then finds and verifies professional emails ([evaboot.com](https://evaboot.com/) ). For post likers and commenters, Evaboot's own guide walks you through PhantomBuster's Likers Export ([Evaboot guide](https://evaboot.com/blog/export-linkedin-post-likers) , both checked November 2026). **Fits better than traxy** when you build lists in Sales Navigator and want them exported with verified emails. For post engagers, pair it with an exporter, or use a tool that reads engagement. ### 8\. Clay: when you want to build the workflow yourself Clay is a workflow layer you can put around a scraper. It can run an Apify actor from a Clay workflow or import an actor's data, with your own Apify account ([Clay and Apify](https://www.clay.com/integrations/data-provider/apify) ). One Clay template scrapes viral posts' comments into a Clay table, enriches and qualifies the commenters on your criteria, and adds them to a LinkedIn sending tool ([Clay template](https://www.clay.com/templates/scrape-viral-posts-comments-qualify-them-and-funnel-them-to-a-heyreach-campaign) , both checked November 2026). **Fits better than traxy** when a GTM engineer wants control over every step and will maintain the workflow and its scoring. See [Clay alternatives](https://traxy.ai/blog/best-clay-alternatives-2026) for the trade-offs. ### 9\. Embers, Teamfluence and Signado: other tools that qualify engagers - **Embers.** Qualify a post reads the engagers on any public post you paste, collects up to 500 reactions and 500 comments, matches everyone against your ICP and adds them as leads. It needs the Solo plan or above, with 20 qualified posts per billing cycle, and delivery rules decide which destinations get those leads ([Embers help](https://useembers.com/help/signals/qualify-a-post/) ). It fits if you want scored leads delivered to the tools you already send from. Compare it in [Embers alternatives](https://traxy.ai/blog/embers-alternatives) . - **Teamfluence.** Lets you "Track any public posts to capture everyone who reacts to it or comments on it," follow influencers and keywords, and send the signals to Claude, ChatGPT or other tools through its API and webhooks ([Teamfluence help](https://teamfluence.com/help/v2/pulse-signals-monitoring) ). It fits if the main job is seeing who pays attention to you and your team. See [Teamfluence alternatives](https://traxy.ai/blog/teamfluence-alternatives) . _Note, November 11, 2026:_ The entry above covers Teamfluence Pulse, its signal monitoring. Teamfluence also has an AI Agent that qualifies incoming leads against your ICP. Its setup guide lists headcount, location and industry as hard company criteria ("must-haves"), persona criteria for job titles, departments and hierarchy (seniority level), and a 1 to 5 rating with a tolerance you choose ([Teamfluence AI Agent setup](https://teamfluence.com/help/how-to-set-up-ai-agent) , checked November 2026). It fits if you want strict must-have rules per ICP on leads Teamfluence already monitors. In traxy, lead criteria cover roles, departments, seniority and locations for people, and size, industry, revenue, funding and keywords for companies; only a 50%+ ICP match becomes a lead, and traxy then runs LinkedIn and email outreach to them from your own connected accounts after you approve the campaign ([lead criteria docs](https://docs.traxy.ai/discovery/lead-criteria) , [LinkedIn outbound with traxy](https://traxy.ai/linkedin-outbound) ). - **Signado.** Finds leads in LinkedIn posts and comments, then "enriches and qualifies them against your ideal client profile." You paste a profile or a post, or enter a keyword; single posts run once, and finding an email is an optional next step ([signado.io](https://signado.io/) ). Its homepage speaks to agencies and consultants, and it also finds posts your buyers read so you can comment on them, so it fits a consultant who wants to join the conversation as well as message. See [Signado alternatives](https://traxy.ai/blog/signado-alternatives) . _Embers, Teamfluence and Signado pages checked November 10, 2026._ ## Which other tools export LinkedIn post likers and commenters? Vayne, ExportComments and TexAu Desktop also export the people who liked or commented on a LinkedIn post. If you are moving off PhantomBuster, our [PhantomBuster alternatives for post engagers](https://traxy.ai/blog/phantombuster-alternatives-linkedin-post-engagers) is the switching guide: it compares these three with PhantomBuster, Apify's HarvestAPI actors and Derrick field by field. Here is what each one's own pages say, checked November 2026. Crustdata also returns the people who reacted to or commented on a post, as data from its Social Post Search API rather than a one-post export. - **Vayne: likers and commenters in one file.** Its post scraper page says it needs no LinkedIn account: "no cookie to paste, no extension." One run returns the likers and commenters of a public post with name, profile URL, headline, position, reaction type, whether they commented and the full comment text, as a deduplicated CSV, or JSON through its API. Profile mode covers up to 20 posts per run, runs can repeat on a schedule, and a webhook can deliver the file. The page says you can "refine the list with AI" to fit your ICP but doesn't describe how, and it describes no sending ([Vayne post scraper](https://www.vayne.io/en/linkedin-post-scraper) ). **Fits better than traxy** when you want every engager of a post in one clean file without connecting a LinkedIn account. - **ExportComments: a spreadsheet of comment threads.** Its LinkedIn comments exporter returns each commenter's headline, a parsed current title and company where the headline allows, and replies in a reply\_to column, to Excel, CSV or JSON. Public mode reads what is visible without login; private posts need authenticated mode with your own session. Its page suggests you filter to your ICP in Excel ([comments exporter](https://exportcomments.com/export-linkedin-comments) ). A separate likes exporter downloads post reactions with names, titles and companies to Excel, with results per export set by your plan ([likes exporter](https://exportcomments.com/export-linkedin-likes) ). **Fits better than traxy** when you want to read or analyze the comment threads themselves, every reply included. - **TexAu Desktop: list jobs from client accounts.** It lists "People who liked a post, up to 2,500" and "People who commented on a post, up to 2,500," and says you can then connect and message them from your client's account ([automations](https://desktop.texau.com/automations) ). It runs as a desktop app with a Chrome extension; login cookies are stored on your machine, encrypted, you pick the CSV that goes in and the folder the results go to, and it says there is no scheduler yet ([how it works](https://desktop.texau.com/how-it-works) ). **Fits better than traxy** for an agency that wants to run exports from many client LinkedIn accounts on its own machine. - **Crustdata: engagers as API data from an indexed post dataset.** Its Social Post Search API returns posts with "every reaction and comment on the post," each with the person's name, headline, title, company, industry, location and profile URL, plus the reaction type or the comment text and date. You can filter posts by who engaged, for example posts a founder reacted to. The docs say the endpoint is off by default and enabled on request, and that it queries "a periodically rebuilt index of posts," so the newest posts can lag by days. A request returns up to 1,000 posts per page, with a default of 30 requests per minute ([Crustdata Social Post Search](https://docs.crustdata.com/social-post-docs/indexed-search/introduction) , [field reference](https://docs.crustdata.com/social-post-docs/indexed-search/reference) ). The pages describe no sending. **Fits better than traxy** when a data team wants to query engagers across many posts at once by title or company inside its own product or warehouse. Tool Likers and commenters LinkedIn login, as the vendor states it Output Fit check Vayne Both, in one deduplicated export Not needed CSV, or JSON by API "Refine the list with AI," method not described ExportComments Separate comments and likes exporters Public mode needs none; private posts use your own session Comments: Excel, CSV or JSON. Likes: Excel You filter in Excel TexAu Desktop Both, as separate automations, up to 2,500 each Accounts you log in to, cookies stored encrypted on your machine CSV to a folder you pick Not described on the pages linked Crustdata Both, as reactors and comments on each post record An API key; the docs describe no LinkedIn login JSON by API, up to 1,000 posts per page Filters on reactor and commenter fields such as title, which you write _Rows summarize each vendor's own pages, linked above and checked November 11, 2026._ ## How do I export the people who commented on a LinkedIn post? Paste the post URL into a comments exporter, such as PhantomBuster's Commenters Export, Listful, ExportComments or HarvestAPI's comments actor on Apify, and download the file; check the tool's stated limit first, because some return only part of a long thread. If you want only the commenters who fit your ICP, and the outreach to them, paste the same URL into traxy: it keeps the engagers with a 50%+ ICP match and runs LinkedIn and email outreach after you approve the campaign. The sections above cover the main exporters. Here are the other routes buyers ask about, with the limits each one documents on its own pages (checked November 2026): - **Listful's commenters export.** "Up to 3,000 comments per post," and its page adds that LinkedIn "may stop returning results earlier" and that nested replies may be incomplete. The CSV has no email column; emails and phones are found on demand after the export. It runs as a Chrome extension, and your session stays in your browser ([Listful post commenters export](https://www.listful.so/export/post-commenters) ). - **HarvestAPI's comments actor on Apify.** It reads "up to 100 pages (each page 10 items) per post," so up to 1,000 comments, collects up to 5 replies to each comment, and says "No cookies or account required" ([post comments actor](https://apify.com/harvestapi/linkedin-post-comments) ). - **ScrapeCreators' LinkedIn Post API.** It takes a post URL and returns JSON, but its page says "Comments are a public preview only, without comment pagination," so it won't give you the full list of commenters ([ScrapeCreators LinkedIn Post API](https://scrapecreators.com/linkedin-post-api) ). - **Unipile.** A developer API, not an export tool. Its docs list the comments and reactions on a post, and each example request names a connected account ([posts and comments docs](https://developer.unipile.com/docs/posts-and-comments) ). Its homepage says your users connect their own accounts and that it can send LinkedIn invitations and InMail "on behalf of connected users" ([unipile.com](https://www.unipile.com/) ). You build the product around it. - **LinkedIn's own API.** The Community Management API reads posts, comments and reactions for organizations where you hold a company page role such as administrator, and reading a member's posts is "granted to select developers only" ([LinkedIn Comments API](https://learn.microsoft.com/en-us/linkedin/marketing/community-management/shares/comments-api) ). So it covers your company page's posts, not a creator's or a competitor's. Route Commenters per post, as documented Account, as the vendor states it What you get Listful Up to 3,000; LinkedIn may stop earlier; nested replies may be incomplete Your own browser session A CSV with no email column HarvestAPI comments actor Up to 100 pages of 10 comments, with up to 5 replies each "No cookies or account required" A dataset you pull by API or download ScrapeCreators "A public preview only, without comment pagination" Not stated on the page JSON Unipile No limit stated on the docs page A connected LinkedIn account API data for an app you build; it can also send invitations and InMail LinkedIn Community Management API Posts of organizations where you hold a company page role Your company page role; member posts are restricted to select developers API data for an app you build traxy Only engagers with a 50%+ ICP match; a post can return none Sending uses your connected LinkedIn and email sender accounts Qualified leads with the comment behind each, a CSV with the columns you choose, or LinkedIn and email outreach after you approve the launch **Where each fits better than traxy:** an exporter fits when you want every comment, for example to read the whole thread or keep a record of it. LinkedIn's API fits a company page team building its own reporting. Unipile fits a developer building messaging into their own product. traxy fits when the commenters are for outreach. The step-by-step version is in [how to extract comments from a LinkedIn post](https://traxy.ai/blog/extract-linkedin-post-comments) , and the outreach half is on [LinkedIn outbound with traxy](https://traxy.ai/linkedin-outbound) . ## Are post engagement scrapers good Embers alternatives? Only for the first step. PhantomBuster, HarvestAPI's actors on Apify, TexAu Desktop and Crustdata export the people who engaged with a post as raw lists, while Embers checks each engager against your ICP, so a scraper replaces Embers' data pull but not its fit check or its ranking. traxy is the closer match, and goes one step further. It runs your entire LinkedIn GTM end to end, from finding high intent leads from social intent, including the people engaging with competitors' and creators' posts, to enriching and researching each one, to running relevant, personalized LinkedIn and email outreach to them on autopilot. Only engagers with a 50%+ ICP match become leads, each with the post or comment behind it. Autopilot starts after you approve: you test the campaign on sample leads and approve the launch, then it sends from your own connected accounts on its own, or you approve every message. Embers' own site says it "never emails a lead" and that "a connected tool does the sending" ([useembers.com](https://useembers.com/) , checked November 2026). See [LinkedIn outbound with traxy](https://traxy.ai/linkedin-outbound) for the outreach half and [Embers alternatives](https://traxy.ai/blog/embers-alternatives) for the full comparison. Here is what each tool exports and the limits its own pages state: Tool What it exports Documented limits, from the vendor's pages Fit check Outreach PhantomBuster Likers (profile URL, name, occupation, degree, reaction type) and commenters (comment text, date, URL), in separate exports LinkedIn shows up to 3,000 people who liked a post; posts with 10,000 to 20,000 or more comments may not extract fully AI filters on job title, location and industry in its Post Engagers to Lead Outreach workflow That workflow sends LinkedIn connection requests and follow-ups HarvestAPI on Apify Reactions (type, name, position, profile URL) and comments with up to five replies each, in two actors The LinkedIn website "stops loading more reactions after 1218 items" Not described on the actor pages None; you pull a dataset by API or download it TexAu Desktop People who liked or commented on a post, as separate automations, to CSV Up to 2,500 likers and 2,500 commenters; no scheduler yet Not described on the pages linked Connect and message from your client's LinkedIn account Crustdata Posts with every reactor and comment, each with name, title, company, industry, location and profile URL Enabled on request; a periodically rebuilt index, so the newest posts can lag by days; 30 requests per minute by default Filters on reactor and commenter fields, which you write None described Embers Qualified leads from any public post you paste Up to 500 reactions and 500 comments per qualified post Matches everyone against your ICP None: it pushes leads to a connected tool that sends traxy Only engagers with a 50%+ ICP match, with the post or comment behind each A post can return no qualified leads, and new qualified leads use your workspace capacity 50%+ ICP match to become a lead LinkedIn and email from your own connected accounts after you approve the launch, or you approve every message _Competitor rows come from the vendor pages linked in this guide: PhantomBuster's Likers and Commenters Export help articles, HarvestAPI's actor pages, TexAu Desktop's automations and how-it-works pages, Crustdata's Social Post Search docs and Embers' help and homepage, checked November 2026. Prices are left out._ A new traxy user put 4 competitor LinkedIn profiles in Tracking, sent a small, tightly targeted campaign to their ICP-fit engagers and booked a qualified meeting within days ([Ben Buaron on X](https://x.com/benbuaron_/status/2095519697835884903) ). **Where Embers or a scraper fits better:** Embers fits if you want a ranked queue of leads for manual follow-up and you already send from your own tools. A scraper fits if you need every engager as rows for your own scoring. traxy fits if you want the fit check, the research on each lead and the LinkedIn and email sends in one place, with your approval before anything goes out. You can also run it from Claude or ChatGPT through the [traxy MCP](https://traxy.ai/linkedin-mcp) , which asks for your yes in chat before anything sends. ## What does an export of post engagers leave out? An export, even one with emails attached, leaves out three things: the reason each person fits your ICP, research on each lead, and the outreach prepared for them. You get rows, and the rest is still your job. traxy runs your entire LinkedIn GTM end to end, from finding high intent leads from social intent to enriching and researching each one, to running relevant, personalized LinkedIn and email outreach to them on autopilot, which starts only after you approve the campaign launch, or you approve every message. Here is how it covers the three gaps: - **The fit reason.** Only people with an ICP match of 50% or more become leads, and each lead shows its match, a signal label (Warm, Related or Activity) and the post, comment or like behind it. A lead's Signals tab lists the observations with source links. - **Research on each lead.** A campaign researches each lead for the facts you ask for before any message, filters out who doesn't fit and groups the rest by signal ([create a campaign](https://docs.traxy.ai/campaigns/create) ). - **Prepared outreach.** traxy prepares a personalized LinkedIn and email message variant for each group. A test on sample leads shows the research and drafts with nothing sent. Autopilot starts after you approve: you check the launch review and approve the launch, then the campaign sends from your own connected accounts on its own, or you approve every message. Replies, unsubscribes and hard bounces stop the sequence. You can run the same steps from Claude or ChatGPT through the [traxy MCP](https://traxy.ai/linkedin-mcp) , which asks for your yes in chat before anything sends. See [LinkedIn outbound with traxy](https://traxy.ai/linkedin-outbound) for the outreach half. More Conversions used traxy to find people engaging with competitor and DTC thought-leader content, kept the active ICP buyers, and saw connection acceptance go from 2% to 18% ([More Conversions case study](https://traxy.ai/case-studies/more-conversions) ). **Where an export fits better:** if your own stack already does the fit check, research and sending, or you need every engager for audience research, an export gives you all the rows and traxy does not. ## When is a raw scraper the better pick? Choose a scraper when you need everyone who engaged, not only the people you would sell to: - **Audience research.** You want the full mix of roles and companies on a post or a creator's posts. - **You already own the rest of the stack.** Your scoring, enrichment and sequencer are set up, and the scrape is only an input. - **A one-off list.** One post, one CSV, nothing ongoing. - **Data in your own systems.** A developer wants the rows by API for a warehouse or a model. Choose a tool that qualifies, like traxy, when the list is for outreach: you want only the people who fit, the reason each is on the list, research on each one, and the LinkedIn and email sends handled after you approve. ## What has to happen after the scrape? A scraped list becomes outreach in six steps. With a scraper, each one is a separate tool or a spreadsheet pass: 1. **Check fit.** Title, seniority, company size and industry, with exclusions for vendors, recruiters and job seekers. [ICP match vs signal strength](https://traxy.ai/blog/icp-match-score-vs-signal-strength) explains why fit and engagement are separate questions. 2. **Keep the evidence.** Which post, a like or a comment, and when. 3. **Enrich only the people you keep,** so you don't pay for lookups on people you'll never contact. [The post URL to work emails guide](https://traxy.ai/blog/linkedin-post-url-qualified-engagers-work-emails) covers the order. 4. **Research each lead** for the facts your message needs, such as what the company sells. 5. **Write about what they engaged with,** not "I saw you liked a post." See [how to message LinkedIn post engagers](https://traxy.ai/blog/how-to-message-linkedin-post-engagers) . 6. **Send a sequence that stops on reply.** See [a LinkedIn and email sequence after post engagement](https://traxy.ai/blog/linkedin-and-email-sequence-after-post-engagement) . In traxy these are one workflow, from the engager to the sent message, with your approval before anything goes out. ## After the export: how do you qualify, find emails and reach out? A raw export leaves three steps to you: keep only the people who fit your ICP, find a verified work email for each, and reach out. traxy does all three in one place: - **Qualify.** Only engagers with an ICP match of 50% or more become leads, each with a signal label and the post, comment or like behind it. - **Find emails.** Look up a verified work email or a phone number on a lead, or turn on Auto-Enrich for newly qualified leads. Auto-Enrich doesn't backfill older leads. - **Reach out.** A campaign researches each lead, prepares personalized LinkedIn and email messages and sends them from your own connected accounts once you approve the launch, or you approve every message. A reply, an unsubscribe or a hard bounce stops the sequence. You can run the same steps from Claude or ChatGPT through the [traxy MCP](https://traxy.ai/linkedin-mcp) , which waits for your yes in chat before anything sends. See [LinkedIn outbound with traxy](https://traxy.ai/linkedin-outbound) for the outreach half. Paper Run moved from Sales Navigator title lists to the people engaging across its industry. traxy scores everyone who engages against the ICP and enriches the matches, and Paper Run booked 16 meetings in 60 days, up from 3 to 5 ([Paper Run case study](https://traxy.ai/case-studies/paper-run) ). **Where your own stack fits better:** if you already run enrichment and a sequencer you like, keep the export and add only the steps you are missing. ## How do you turn one post's engagers into outreach in traxy? 1. Set your lead criteria: roles, seniority, locations, company size, industry and exclusions. 2. Open Targeting > Posts > New > Track post, paste the URL, review the candidate scope and confirm Find leads. Or paste the URL into trax and say you want its audience, or ask from Claude or ChatGPT through the traxy MCP. 3. Review the qualified leads: ICP match, signal label, and the post or comment behind each one. 4. Look up a work email or phone for the people you want to reach, or turn on Auto-Enrich for new leads. 5. Save the leads as a shared view, then open Outbound > Campaigns > Create campaign (or ask trax) and describe the facts to research on each lead. 6. Test the campaign on sample leads. Nothing is sent. 7. Check the launch review and confirm Launch. Choose to approve every message in the review queue, or let the approved campaign send on its own. Replies, unsubscribes and hard bounces stop the sequence. To keep catching new engagers, track the post's author or your own profile instead of pasting each post. The full walkthrough is in [find leads from any LinkedIn post](https://traxy.ai/blog/find-leads-from-linkedin-post-traxy-agent) . ## Can a tool go back through the engagers on months of older posts? Yes. traxy, Embers, PhantomBuster and Connie all take a link to an existing post, so you can work through a backlog one post at a time, but none of the pages we checked says how far back coverage goes, so test a few of the oldest posts first. traxy then keeps only the engagers with a 50%+ ICP match and can run LinkedIn and email outreach to them after you approve the launch. In traxy, add each older post with Track post: paste the URL, review the candidate scope and confirm Find leads. Tracking the client's profile covers new posts from then on, because ongoing monitoring follows a managed window of the five most recent posts published after you added it, and you track an older post directly ([Tracking docs](https://docs.traxy.ai/discovery/tracking) ). Tool Takes an existing post What its own page says about older or very big posts What happens after the list traxy Yes: paste any post URL with Track post No post age stated; a post can return no qualified leads Export to CSV, or LinkedIn and email outreach from your own connected accounts after you approve the launch Embers Yes: any public post you paste, with Qualify a post 20 qualified posts per billing cycle; up to 500 reactions and 500 comments per post; private or deleted posts can't be read Leads go to your connected destinations by delivery rules; a connected tool does the sending PhantomBuster Yes: one post URL, a Google Sheet of URLs or a CSV LinkedIn shows up to 3,000 people who liked a post; posts with 10,000 to 20,000 or more comments may not extract fully CSV or JSON; one workflow sends LinkedIn connection requests and follow-ups Connie Yes: paste a post link Reads public reactions and comments only; "a very big post stops when time is up" A list with an ICP score on each engager; "nobody is contacted" Taplio Your own posts only After you sign up, it checks past likes and interactions on your latest posts over time Export the list _Rows other than traxy come from [Embers' Qualify a post help](https://useembers.com/help/signals/qualify-a-post/) , PhantomBuster's [Likers Export](https://support.phantombuster.com/hc/en-us/articles/26970934696210-How-to-Use-the-LinkedIn-Post-Likers-Export) and [Commenters Export](https://support.phantombuster.com/hc/en-us/articles/26970963368338-How-to-Use-the-LinkedIn-Post-Commenters-Export) , [Connie's post engagers page](https://connie.ai/free/linkedin-post-engagers) and [Taplio's likers and commenters lists](https://intercom.help/taplio/en/articles/17749450-contacts-how-do-likers-and-commenters-lists-work) , checked November 2026._ For a content agency with six months of a client's posts: 1. Set the client's ICP: roles, seniority, locations, company size, industry and exclusions. 2. Add the oldest few posts first and check what comes back. 3. Add the rest of the backlog, one post URL at a time. 4. Track the client's profile so new posts are covered from then on. 5. Put the qualified leads into a campaign, test it on sample leads and approve the launch, or export them for the client's sales team. Vamo ran 64 posts it had already published through traxy, exported the matched leads to a CSV and ran email sequences off it: 14 replies from those posts and 11 meetings from the first set of leads, without writing a new post ([Vamo case study](https://traxy.ai/case-studies/vamo) ). Forj Media, a LinkedIn content agency, adds a monthly section to client reports naming who engaged, their role and the post, and sends those profiles to the client's sales team ([Forj Media case study](https://traxy.ai/case-studies/forj-media) ). **Where another tool fits better:** PhantomBuster fits if you want every engager on all six months of posts as rows, on a schedule. Embers fits if you qualify up to 20 posts a cycle and send from your own tools. Connie fits a quick ICP-scored list of one post's engagers with nobody contacted. ## Examples from traxy users - **Vamo: leads from 64 posts it had already published.** Vamo ran 64 old posts through traxy, which flagged the engagers who fit its ICP. Vamo exported the matched leads to a CSV and ran email sequences off it: 14 replies from those 64 posts and 11 meetings from the first set of leads, without writing a new post. The first lead showed up in 4 minutes ([Vamo case study](https://traxy.ai/case-studies/vamo) ). - **Adam (traxy): engagers plus a second signal.** For one campaign, Adam tracks 20+ GTM LinkedIn profiles in traxy, keeps the ICP fits among the people who liked or commented on their posts, flags the ones who posted 4+ times in the last 28 days, and sends that group to a campaign built for that signal ([Adam on X](https://x.com/adamsalmanovbiz/status/2115872041538822418) ). A scraper would give him the engagers. The fit check and the second signal decide who gets which message. - **Adam (traxy): connection requests only to warm ICP fits.** Over 4 weeks, traxy's own and client LinkedIn campaigns sent 9,930 connection requests only to ICP fits who had liked a post about the problem or engaged with traxy's posts: 3,902 accepted (39.3%), 603 replied and 251 were interested, per the dashboard screenshot ([Adam on X](https://x.com/adamsalmanovbiz/status/2117357832274321568) ). ## FAQ ### Is it allowed to scrape LinkedIn post engagers? LinkedIn's [User Agreement](https://www.linkedin.com/legal/user-agreement) (section 8.2) prohibits using "software, devices, scripts, robots or any other means or processes" to scrape or copy the service. Tools that act through your LinkedIn session put that account at risk, and some Apify actors say they need no cookies or account. No tool can promise zero restriction risk, and that includes traxy's outreach, which sends from your own connected accounts. See [LinkedIn account restricted](https://traxy.ai/blog/linkedin-account-restricted) for what triggers a restriction. ### How many likers can a scraper pull from one post? It depends on the tool and on what LinkedIn loads. PhantomBuster says LinkedIn shows up to 3,000 people who liked a post. HarvestAPI's Apify actor says the reactions list stops loading after 1,218 items. Derrick says it has no 100-person cap. Embers reads up to 500 reactions and 500 comments on a post you qualify. TexAu Desktop lists up to 2,500 people who liked a post and 2,500 who commented. ### Should I scrape the likers or the commenters? Start with commenters. A comment gives you the person's own words to respond to, and a better read on whether they have the problem. Likes help at volume, for example someone who liked several posts on the same problem. Our comments guide goes deeper on [whether to extract comments, likes or both](https://traxy.ai/blog/extract-linkedin-post-comments#should-you-extract-comments-likes-or-both) . ### Does traxy scrape every engager on a post? No. traxy checks the engagers against your lead criteria and only people with a 50%+ ICP match become leads, each with the post or comment behind them. A post can return no qualified leads, and new qualified leads use your workspace capacity. If you need every engager as raw rows, use an exporter. ### Can I export the qualified engagers from traxy? Yes. Export selected leads to a CSV with the columns you choose, or route them to Slack, a webhook, Clay, n8n or Zapier. Vamo exported its matched leads to a CSV and ran email sequences off it. You can also keep them in traxy and run LinkedIn and email outreach from your own connected accounts after you approve the campaign. ### Which post engagement scraper doesn't need my LinkedIn account? HarvestAPI's reactions and comments actors on Apify say "No cookies or account required." PhantomBuster's post exports need a LinkedIn account connected through its browser extension, and Waalaxy and Linked Helper act through your LinkedIn account. Sending outreach through traxy needs connected sender accounts. ### Can I run this from Claude or ChatGPT? Yes. With the [traxy MCP](https://traxy.ai/linkedin-mcp) you can ask Claude or ChatGPT to qualify a post's audience, list the qualified leads with the post behind each, research them, and draft, test and launch a campaign, with the AI asking for your yes before anything sends. Derrick also offers an MCP server for its post engager import. ### Which exporter puts likers and commenters in one file? Vayne says one run returns the likers and commenters of a public post in one deduplicated CSV. Derrick returns reactors and commenters in the same import, with each row marked as a reaction or a comment. PhantomBuster, Apify's HarvestAPI actors, ExportComments and TexAu Desktop handle likers and commenters as separate exports. The [PhantomBuster alternatives guide](https://traxy.ai/blog/phantombuster-alternatives-linkedin-post-engagers) compares the fields side by side. ### What does an export with emails still leave out? The reason each person fits your ICP, research on each lead, and the outreach prepared for them. traxy keeps only engagers with a 50%+ ICP match and the post or comment behind each, researches each lead in a campaign, prepares personalized LinkedIn and email messages, and sends from your own connected accounts after you approve the launch, or you approve every message. ### What are the best Embers alternatives for competitor post engagers? traxy, if you want the engagers checked against your ICP and the outreach run for you: it keeps only people with a 50%+ ICP match and runs LinkedIn and email outreach to them from your own connected accounts after you approve the launch. If you only need the raw list, PhantomBuster, HarvestAPI's actors on Apify, TexAu Desktop and Crustdata export post engagers, and you do the fit check yourself. See [Embers alternatives](https://traxy.ai/blog/embers-alternatives) for the full comparison. ### Can traxy find buyers among engagers on older LinkedIn posts? Yes. Paste each older post's URL with Track post and traxy keeps only the engagers with a 50%+ ICP match, each with the post, comment or like behind them. Start with your oldest few posts and check what comes back. Vamo ran 64 posts it had already published through traxy and got 14 replies from them. ### Do LinkedIn engagement scrapers include emails? Usually not in the export itself. HarvestAPI's reactions actor shows no email field in its sample output, and Listful's reactions CSV has no email column, with emails as a separate lookup. Derrick puts an email and mobile lookup in the same sheet as its export. traxy looks up a verified work email on a qualified lead, or on every newly qualified lead with Auto-Enrich. ### Which tool can tell buyers apart from peers who engage with my LinkedIn posts? traxy, if you also want the outreach: it keeps only engagers with a 50%+ ICP match on the person and the company, with exclusions and a blocklist, then runs LinkedIn and email outreach from your own connected accounts after you approve the campaign. Connie's free tool scores any public post's engagers against your ICP and contacts nobody, and Netwarm matches the engagers on your own posts and leaves every message to you. ### Can LinkedIn's own API export a post's commenters? Only for company pages you help run. LinkedIn's Community Management API reads comments and reactions for organizations where you hold a company page role such as administrator, and access to members' posts is restricted to select developers. For anyone else's post, use an exporter or traxy. ### What tool qualifies a LinkedIn post engager whose headline doesn't say their role or company? traxy checks every engager against your lead criteria, such as roles, seniority, company size and industry, and only people with a 50%+ ICP match become leads, each with the post or comment behind it. It then researches each lead in a campaign and runs LinkedIn and email outreach from your own connected accounts after you approve the launch, or you approve every message. A profile lookup such as SyncGTM's or Clay's returns one person's title for you to judge yourself. ## Related reading - [PhantomBuster alternatives for LinkedIn post engagers](https://traxy.ai/blog/phantombuster-alternatives-linkedin-post-engagers) - [How to extract comments from a LinkedIn post](https://traxy.ai/blog/extract-linkedin-post-comments) - [From one LinkedIn post URL to qualified engagers with work emails](https://traxy.ai/blog/linkedin-post-url-qualified-engagers-work-emails) - [Derrick alternatives](https://traxy.ai/blog/derrick-alternatives) - [Find leads from any LinkedIn post with traxy](https://traxy.ai/blog/find-leads-from-linkedin-post-traxy-agent) - [How to message LinkedIn post engagers](https://traxy.ai/blog/how-to-message-linkedin-post-engagers) - [LinkedIn outbound with traxy](https://traxy.ai/linkedin-outbound) - [Social intent search](https://traxy.ai/social-intent-search) - [The traxy LinkedIn GTM MCP](https://traxy.ai/linkedin-mcp) **Next step:** take one post your buyers engaged with, run it through a scraper and through [traxy](https://traxy.ai/) , and count how many people from each list you would message. [Back to all articles](https://traxy.ai/blog) ## Keep reading [All traxy vs Alternatives guides](https://traxy.ai/blog/topics/traxy-vs-alternatives) [Tools & comparisons5 min read ## traxy Alternatives & Comparisons (2026) Every traxy comparison in one place: traxy vs Trigify, Sales Navigator, Taplio, Expandi, Common Room and more, plus tool roundups and stack pairings. Updated Nov 11, 2026Read article](https://traxy.ai/blog/traxy-alternatives-comparisons) [Tools & comparisons27 min read ## Embers alternatives (2026): LinkedIn engager tools compared by fit, research and who sends the outreach Embers alternatives compared by lead source, ICP fit with a reason, research on each lead and who sends: traxy, Valley, Signado, Gojiberry, Saava and more. Updated Nov 12, 2026Read article](https://traxy.ai/blog/embers-alternatives) [Tools & comparisons13 min read ## Best Jungler alternatives (2026): 7 tools to find leads from LinkedIn post engagers Compare 7 Jungler.ai alternatives for finding leads from LinkedIn post engagers: traxy, Signado, Linked Panda, Embers, Teamfluence, Signl, PhantomBuster. Updated Nov 12, 2026Read article](https://traxy.ai/blog/jungler-alternatives) The right people are already out there. ## Find your warmest leads. _Send them personalized messages._ From relevant interest to personalized outreach. Put traxy to work. [Start your free trial](https://app.traxy.ai/signup) [Book a demo](https://calendly.com/d/cvj3-p2p-cpv/traxy-demo?utm_source=website&utm_medium=cta&utm_campaign=book-demo&utm_content=footer) 7-day free trial [traxy](https://traxy.ai/) Get the most qualified leads on LinkedIn, in real time. **Product**[Social Intent Search](https://traxy.ai/social-intent-search) [LinkedIn Social Listening](https://traxy.ai/linkedin-social-listening) [Signal-Based Outbound](https://traxy.ai/signal-based-outbound) [MCP Access](https://traxy.ai/linkedin-mcp) [Case Studies](https://traxy.ai/case-studies) [Pricing](https://traxy.ai/pricing) [DFY Outbound](https://traxy.ai/managed) **Resources**[Scoreboard](https://traxy.ai/scoreboard) [FAQ](https://traxy.ai/faq) [Guides](https://traxy.ai/guides) [Docs](https://docs.traxy.ai/) [Blog](https://traxy.ai/blog) [News](https://traxy.ai/news) [Affiliate ProgramNew](https://traxy.ai/affiliates) [Agency Partners](https://traxy.ai/agency) [Creators](https://traxy.ai/creators) [About traxy](https://traxy.ai/about) [Contact](https://traxy.ai/contact) **Legal**[Privacy Policy](https://traxy.ai/privacy-policy) [Terms of Service](https://traxy.ai/terms-of-service) [Cookie Policy](https://traxy.ai/cookie-policy) © 2026 traxy, inc. All rights reserved.