In short
- 1"The axis that actually matters is not price and not row count. It is which of three jobs a tool is built for: profile history, keyword search, or engagement export."
- 2"Marketplace actors and hosted scraper APIs read public post pages on their own infrastructure, so you never need to log into LinkedIn to use them."
- 3"Cloud sequencers connect your account once and keep running scheduled exports afterward, which suits a repeat job far more than a one-off read."
- 4"A browser extension runs only while your tab stays open, so nothing keeps running once you close it."
- 5"BeReach's free post tools need a BeReach account and your LinkedIn login at run time, and read recent posts rather than a full archive."
Searching for a LinkedIn post scraper ends the same way almost every time. You find a tool, you paste something into it, and a CSV arrives. What changes between tools, and what nobody sorts the roundups on, is what you have to set up to get there, and whether the file is a finished answer or a pile of rows you still have to work through.
Sometimes it is a post URL and nothing else. Sometimes it is a LinkedIn login connected in a dashboard. Sometimes it is a Chrome extension installed in your browser. Those three asks look identical from the outside, because the file that lands at the end is identical. What differs is how much of the job is actually done once the CSV arrives.
That is the axis this comparison is built on. Twelve routes to get posts, post authors, or post engagement out of LinkedIn, sorted by which of three jobs each one is actually built for, and what it needs from you to run: a login, an extension, a cloud account, or nothing that touches your LinkedIn account at all.
There is also an honest limit on our own tools further down, because a competitor roundup already points it out in public and it is cheaper to confirm it than to pretend otherwise.
Three different jobs go by the same name
"LinkedIn post scraper" is one query covering three jobs that need different tools. Sorting them first saves you from buying the wrong architecture for the job you actually have.
The three jobs put load in different places. A profile history is a read of one public page. A keyword search is a search-index problem, because LinkedIn's own post search is not exposed to third parties. An engagement export is a paginated read of a panel that gets long and slow on a post with thousands of reactions.
Most of the tools below do one of the three well and the other two badly, so the first filter is not the brand. It is which of those three sentences describes your week.
Our own Search Console data across 90 days to August 2026 shows 426 impressions spread over eight variants of this query, and the shape of the variants is telling. Two of the eight name a Chrome extension explicitly. Two more name "free". Those two concerns, install footprint and price, are what people are actually filtering on before they ever get to features, which is why they get a column each below.
What each type of tool needs from you to run
Strip the branding off and every tool that returns LinkedIn post data falls into one of five setups. The difference is not effort, it is what you have to provide before the first result comes back.
Nothing of yours. The tool reads public post pages from its own infrastructure, using its own network and its own account plumbing. You create an account with the vendor and use an API key that belongs to that vendor's service, not to LinkedIn. You never log into LinkedIn to use it.
A LinkedIn login connected once, kept on file. You connect your LinkedIn account in a dashboard and the tool signs in as you from its own servers, on its own schedule, whenever a run is due. That setup is built for repeat exports rather than a single read.
A LinkedIn login used for one run, not kept afterward. The same connection, used only for the duration of one run. You still need to be signed in for that run to work, but nothing is left waiting in a dashboard for the next one.
A browser extension. Code runs inside the tab where you are already logged in. It reads what you can read, from your own browser, for as long as the tab stays open, and stops the moment you close it.
Your own machine and your own key. You run an open-source script yourself. Whatever it needs, you supply, and the question becomes maintenance rather than setup.
The question that actually decides which one fits
Is this a one-time read, or a job you want repeated automatically every week? A tool built around a connected account fits the second case. A tool that reads a public page and forgets it the moment the run ends fits the first, and needs nothing kept anywhere for it to work again next time.
The 12 tools, and what each one needs to run
Two columns in that table carry the real decision.
The "what it asks for" column separates tools that bring their own access from tools that use yours to read a page. That is not a quality judgement. Several of the cloud tools are more capable and better documented, precisely because a logged-in reader can see things a logged-out one cannot.
The "runs once or on a schedule" column is the one that actually predicts whether a tool fits your job. A one-off read and a standing scheduled export are different products even when the same brand sells both, and picking the wrong one means either paying for automation you will not use, or manually repeating a job that should run itself.
Tier one: tools that ask for nothing from your LinkedIn account
These four never sign in as you. Whatever they can reach, they reach the way a logged-out visitor reaches it, or through access that belongs to the vendor rather than to you.
Apify actors
Apify is a marketplace of hosted scripts, called actors, several of which target LinkedIn posts. Two of the results ranking on this query are actor pages, which tells you how much of the demand this format absorbs.
What it asks for depends entirely on the actor, and this is the part people miss. The actors that read public post pages want a URL and nothing else, and they run on Apify's infrastructure with Apify's network. Other actors in the same marketplace, particularly the ones that reach into feeds or private search results, do ask for a LinkedIn login, and the moment one does it belongs in tier four of this list rather than tier one. Read the input schema of the specific actor before you run it, not the category page.
The output is good: CSV, JSON, Excel, and an API you can call from your own code. Pricing runs on compute and per-actor rental rather than a flat monthly fee, so the cost of a mistake scales with the size of the mistake. For a fuller read on what a marketplace actor costs and controls, there is a side-by-side in the BeReach vs Apify comparison.
Bright Data
Bright Data sells data collection as infrastructure: prebuilt datasets, scraper APIs, and the network underneath them. Its LinkedIn posts product ranks second on this query, and its own listing advertises a free monthly record allowance, which is why it shows up in every "free LinkedIn post scraper" thread.
What it asks for is an account and an API key of theirs. Your LinkedIn login is not part of the transaction. That makes it a straightforward way to get a large volume of public post data, and it also makes it the least personal. You get records, at scale, in a schema they define. You do not get a workflow, and you do not get the thing most people actually want, which is a short list of people worth writing to.
This is the right choice when the deliverable genuinely is the dataset: research, market mapping, or feeding a model. It is the wrong choice when the deliverable is a handful of real conversations.
Open-source scripts from GitHub
A GitHub repository ranks fifth on this query, which is a fair reflection of how many people solve this with fifty lines of Python.
What it asks for is entirely up to you, and that is the whole appeal. Point it at public post pages and it needs no login at all. Point it at anything behind the login and you supply your own credentials, which stay on your own machine. There is no third party involved at all.
The cost is maintenance, and it is not small. Public page markup changes without warning, and every change breaks a selector somewhere. Rate limiting and network handling are your problem. Nobody is on the other end when it stops working on a Friday. If you enjoy that trade, this is the cheapest route in the list by a wide margin. If you do not, the hours will cost more than any plan below.
The official LinkedIn API
Worth naming because people assume it is the clean answer, and for post scraping it is not.
What it asks for is app review and a partnership. What it gives back, once you have it, is data about content on assets you administer. Your own company page's posts, and the reactions and comments on them. There is no supported route to the posts of an arbitrary profile, and no supported route to the engagement on somebody else's post. The API is for managing your own presence, not for reading the network.
That is not a gap a better application form closes, it is the shape of the product. If your job is your own page's analytics, use it. If your job is finding people, it does not do that.
Tier two: a LinkedIn login used once, per run
One entry, and it is ours, so read it with that in mind.
BeReach free post tools
There are two, and they cover two of the three jobs at the top of this article. The LinkedIn profile post scraper takes a profile URL and returns that person's recent posts, so you know what somebody has been writing about before you write to them. The tool that lets you scrape LinkedIn posts by keyword takes a topic or a Boolean string and returns posts on that topic along with the people who wrote them.
What they ask for: a BeReach account, and your LinkedIn login at the time you run a search. That is the honest version, and it is a real ask. We do not store your credentials or your data. Your login is only used to run your own search, and the leads go straight to you.
The difference from tier three is architecture rather than intent: these run on a server rather than as code injected into your logged-in tab, so nothing is added to your browser and nothing reads pages you open later. Either way, the point of the tool is the same: a list of people worth writing to, not a raw export you still have to work through by hand.
The honest limit gets its own section further down, because it deserves more than a clause.
Tier three: tools that ask for a browser extension
An extension runs inside the tab where you are already logged in, using your own browser and your own connection. It reads what you can read, at whatever speed you let it run.
Because it lives inside your live browser rather than on separate infrastructure, an extension is built for occasional, hands-on use rather than scheduled runs. Close the tab and it stops; nothing keeps running in the background overnight. For a job you do occasionally and by hand, that is a reasonable trade.
Evaboot
Best known for cleaning Sales Navigator exports, and it also pulls post engagers through your live browser session before deduplicating and enriching the result. The data that comes out is cleaner than most, which is the point of the product.
What it asks for is the extension and a logged-in session in the browser it runs in. Because it runs through your own browser rather than separate infrastructure, a long engagement list takes as long as your connection allows to pull, in exchange for needing nothing extra set up.
Dux-Soup
One of the older names in the category, and it does engagement and visitor export alongside its outreach features, all inside your browser. Mature, configurable, and unglamorous.
What it asks for is the extension and permission on LinkedIn pages. Export and outreach automation live in the same tool, so most people end up using one or the other rather than both at once.
Bardeen
A general browser automation extension with prebuilt LinkedIn playbooks, including post and engagement capture, and connectors that push results into a spreadsheet or a workspace tool.
What it asks for is an extension, plus a cloud account once you start scheduling runs. That second half is why it sits at the boundary of this tier. A capture you trigger by hand in an open tab behaves like an extension. A flow that runs on a schedule while your laptop is shut behaves like a cloud tool, and it needs something stored to do that. Which mode you use decides which tier you are actually in.
Tier four: tools that ask for a cloud account holding your login
These four are the most capable of the twelve, because a connected account lets a tool run on a schedule, chain multiple steps, and reach data that requires being signed in. The trade is that you have to keep an account connected somewhere other than your own browser for any of that to work.
PhantomBuster
The most cited name in this space, with dedicated flows for post data and post engagement. You connect your account once and the runs execute from PhantomBuster's cloud on a schedule from then on.
What it asks for is exactly what the cloud model implies, and the documentation does not hide it. The product is genuinely good at repeat work: a post exported every morning, a list refreshed weekly, results piped onward. That scheduling is the whole value of the cloud model, since once it is connected nothing needs to be triggered by hand again. It is also one of the five listicles ranking on this query, which is worth knowing when you read a comparison hosted on its own domain.
TexAu
A growth automation platform with a large recipe library, sold both as a cloud service and as a desktop application. That split matters more than any feature on the page.
What it asks for depends on which one you run. The cloud version stays connected and behaves like every other entry in this tier. The desktop version runs locally on your own machine instead, which is a much lighter setup even though the automation itself is just as heavy. Same brand, two different answers to the only question this article asks.
Captain Data
Built for teams, with LinkedIn workflows including engagement extraction, run server side and wired into other systems through an API. This is the enterprise shape of the category.
What it asks for is a connected account held server side, with sustained scheduled activity as the normal mode rather than the exception. That is the heaviest setup of the twelve, and it is deliberate: the right architecture if you have a data team running workflows continuously, overkill if you have a laptop and an occasional need.
Dripify
Primarily a cloud sequencing tool, with extraction alongside the campaigns it sends. The export is a feature in service of the outreach rather than a product of its own.
What it asks for is your account connected in its dashboard, and because sending is the main event, the connection stays live for as long as the campaign runs. The export and the outreach share the same connection, which is at least a single setup rather than two. If you were going to connect an account to a sequencer anyway, the extraction is close to free. If you only wanted a CSV, this is a heavy way to get one.
What "free" means in each of the four models
Two of the eight query variants in our Search Console data name "free" explicitly, so it is worth being precise about what the word buys in each architecture, because it means four different things.
The trap in every row except the last is that the cap lands mid-job rather than before it. A free tier that stops part way down a long engagement list has not given you a partial answer, it has given you the people who reacted first, which is a different and much worse list than a random sample of the same size. Check where the ceiling is before you start, not when the progress bar stalls.
The honest limit on our own tools
A competitor roundup says in public that BeReach reads recent posts rather than a full archive. That is correct, so here it is from us.
The profile post tool returns a profile's recent posts. It is built for the moment before you write to somebody: what have they been talking about lately, what are they working on, is there a line in there that only applies to them. For that job, recency is the point, and a post from three years ago is noise.
If your job is a complete post history going back years, for content analysis or research or training a model, that is a different job and we are the wrong tool for it. A marketplace actor or a hosted dataset vendor from tier one will do it better, at volume, without asking for anything of yours. We would rather say that than have you discover it after paying.
The same shape applies to keyword search. The post search tool finds posts on a topic and the people behind them so you can reach out. It is not an archive of everything ever written on a subject: public search indexes have their own limits on how many results surface for a single query, and no tool removes that ceiling. Broadening or varying how you search is what gets you past it, the same way it would with any search engine.
Picking by job rather than by brand
Three sentences, three answers.
- You need to know what one person writes about, before you message them. Any tier one or tier two tool does this in seconds. It is a per-person read, so volume is not the constraint and a scheduled platform is overbuying.
- You need people who are already discussing the problem you solve. That is a search problem rather than a scraping problem, and the result depends on how you phrase and vary the search rather than on how many pages you pull.
- You need the people who engaged with a specific post. This is where the tiers genuinely differ, because a post with thousands of reactions is a long paginated read. For comments, the LinkedIn comment scraper covers the higher-intent half of the panel, and there is a fuller ranking of that job in LinkedIn comment export tools compared.
If you are choosing between architectures rather than brands, how to export LinkedIn post engagers without a Chrome extension covers the same setup question on the engagement job.
The export is the easy half
A file of 400 names is not 400 leads, and this is where most of the effort in this category gets wasted. Every tool above competes on the part of the work that takes ten minutes, and none of them touch the part that takes the week.
Two filters do most of the qualification. Fit: does this person match who you actually sell to, judged more on company shape than on job title, because titles lie in both directions. Relevance: did they engage with something adjacent to the problem you solve, or did they engage with a viral post about hiring. Somebody who commented on a post about the exact problem you solve is worth a great deal more than somebody who liked a post about company culture, and the topic of the post is part of the signal rather than context around it.
The published outreach research all points the same way on this. Messages to people who already have a relationship with the sender reply at a materially higher rate than cold connection campaigns, and the gap is relationship rather than prose. Somebody who publicly engaged with the subject you sell into sits closer to that warm end than a name pulled out of a title search, and the relevance is what does the warming.
The edge disappears the moment a message meant to prove you did your homework collapses into pasting a first name. Sarah K., a head of operations, can spot the merge field from the notification preview. Doing enough reading to write one line that could only have been sent to her is the whole difference, and it is a step no scraper performs.
Where BeReach sits, and where it does not
BeReach is not on the twelve-tool list as a scraper, because it is not one. It is an AI agent that finds people who just showed interest on LinkedIn, writes one personal message per person, and sends from your own account at a paced rate, with every send approved by you before it goes out. There is no unattended mode and no queue that empties itself while you are asleep.
The free post tools above are the reading end of that same system, which is why they are in the comparison and the agent is not. Reading, fit scoring and drafting all happen before anything is sent. The only step that requires acting through a LinkedIn account is the send.
Pricing, since it belongs next to the tier four subscriptions: Pro is 89 EUR a month billed quarterly, or 99 billed monthly. Max is 179 billed quarterly and 199 monthly. Max+ is 269 billed quarterly and 299 monthly. There is a 3-day free trial on all of them. The free post tools do not need a plan, but they do need a BeReach account and your LinkedIn login connected to run a search, which is the same disclosure made above and not a different one.
Every viral post is 100+ warm conversations waiting.
Tell your agent who you want to reach. It finds them, says which ones are worth your time, writes the first line, and follows up.
Frequently asked questions
Is there a free LinkedIn post scraper?
Several, and "free" means four different things. Marketplace actors give you a starting compute credit. Hosted data vendors give you a monthly record allowance. Extensions cap rows or exports per month. Open-source scripts are genuinely free and cost you maintenance instead. Check where the ceiling lands before you start a large run, because a free tier that stops at 200 rows returns the first 200, not a representative 200.
Can you scrape LinkedIn posts without a Chrome extension?
Yes. Marketplace actors, hosted scraper APIs and server-side tools all read public post pages without anything installed in your browser. An extension is the one architecture that runs inside your logged-in tab instead, which is why it is the easiest to start but the one tied most closely to your own browser.
Do you need to log into LinkedIn to scrape posts?
Not for public posts. A public post page is readable by a logged-out visitor, so a server can read it without signing in as anyone. Logging in becomes necessary only when a tool reaches something behind the login, such as feed results or a private search. Match how much access a tool asks for to how public the job actually is.
Can you scrape a LinkedIn profile's full post history?
Some marketplace actors and hosted dataset vendors go deep into a profile's archive. Most lightweight tools, including the BeReach profile post tool, return recent posts instead, which is what you need before writing to somebody and not what you need for research. Match the depth to the job, and do not pay for archive depth you will never read.
What is the best LinkedIn post scraper?
It depends on which of three jobs you have. For bulk research, a hosted dataset vendor that needs no LinkedIn login at all. For a repeated scheduled export, a cloud platform built to stay connected and run on its own timetable. For reading one person before you message them, a lightweight server-side tool built for a single search rather than a standing connection. There is no single winner, because the tools are not competing on the same job.
Reading this in an AI assistant? Hand it the page and let it summarize, so you can ask follow-up questions against the whole argument rather than the part you have read so far.
