What Was Posted
Each post comes back with its text, its format — text, image, video, document, article, poll, or a repost — the date it went up, and a link straight to it.
Demand Research
LinkedIn Post Scraper
Other LinkedIn scrapers hand you everyone who liked the post. AllyHub reads the post: what was said, in what format, which reaction it drew.
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What Can the LinkedIn Post Scraper Do
LinkedIn will show you a competitor’s posts one scroll at a time and nothing you can sort. AllyHub takes the posts themselves — each one’s format and reactions, only where the author made them public — across the accounts you track, cut to the slice you want, in a file you can open.
The Reactions, by Type
Reactions, comments, and reposts come back as counts — and where LinkedIn shows the split, so does AllyHub, so an insightful reads differently from a like.
Public Posts Only
A post the author set to public is readable without an account, and that’s the only kind AllyHub reads — connections-only posts never reach the file, and no login or cookie is involved.
A Set, Not an Account
Give it a handful of profiles and company pages together and the author’s name rides on every row, so putting your output beside four rivals’ is a single sort.
Narrow It as It Runs
Ask for the last quarter only, or posts above a reaction floor, or only the documents, or the ones mentioning pricing — the cut is made while it collects.
Then See the Pattern
Take CSV, JSON, or Excel — or stay in the run and have AllyHub lay out the format mix, the posting rhythm, and the themes that keep earning comments.
How to Scrape LinkedIn Posts with AllyHub
Name the accounts, set the window, and take away a sortable record of what they posted.
01
Specify Your Source
Paste profile or company page URLs, or name a hashtag to follow. Add a date range, a reaction floor, or a format if you want it narrowed.
02
AllyHub Extracts Post Data
It walks each account’s public posts and records the text, format, publish date, permalink, reaction, comment and repost counts, and the reaction split where LinkedIn shows one.
03
Analyze Competitors and Build Strategy
Download it, or ask which formats and topics did the work. Keep the setup as a Playbook and next month’s benchmark starts already configured.
Why Choose AllyHub’s LinkedIn Post Scraper
Most LinkedIn post scrapers are lead tools wearing a content hat.
The Post, Not the Audience
Nearly every tool in this category sells the same thing: the names, headlines, and profile links of everyone who reacted, packaged as warm leads. AllyHub doesn’t build that list. People data is a different job with a different consent question; this page studies the content.
Insightful Isn’t a Like
Flattening every reaction into one total is how a post that made people think ends up scored the same as a post that made them scroll. Where LinkedIn publishes the split, keeping it is the difference between counting applause and reading it.
Nothing to Get You Banned
The usual setup runs on your session cookie or your own account, which is why the category quietly warns about restrictions. AllyHub reads what a logged-out visitor sees, so there’s no credential to hand over and no account of yours in the loop.
Set Once, Read Monthly
Content benchmarking is the same question every month, and rebuilding the query each time is why it quietly stops happening. Save it as a Playbook and you re-run it instead of rebuilding it — AllyHub never starts from scratch again, so the monthly read costs a sentence.
Who Uses AllyHub’s LinkedIn Post Scraper
B2B content leads, ghostwriters, competitive marketers, and researchers — anyone who has to know what works on LinkedIn before writing it.
B2B Content & Social Teams
You’ve been told to do more thought leadership, and nobody can point at which of your competitors’ posts actually did anything, so the calendar gets filled from taste. Pull their public posts with formats and reactions attached, and the pattern that keeps working is visible before you commit a quarter to the wrong one.
Competitive Intelligence Analysts
Your client wants to know why you’re recommending a carousel over a paragraph, and “that’s what performs” is not an argument they accept. Pull the top voices in their exact niche, show which formats and openings drew which reactions, and the recommendation arrives with its evidence attached.
Executive & Personal Brand Consultants
A rival’s positioning turns up in their posts long before it reaches a press release, but nobody has time to watch six company pages. Track the set on a schedule and a shift in what they’re pushing surfaces as a change in the file rather than as something someone happened to notice.
Marketing Researchers
Studying B2B discourse needs a corpus with dates, formats, and engagement attached, and what you have is screenshots and a spreadsheet someone abandoned. Take the public posts across a defined set and keep the query in a Playbook, so the dataset arrives with its own provenance instead of a story about how it was gathered.
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FAQs About LinkedIn Post Scraper
What people ask before pulling LinkedIn posts — what’s visible, what’s out of scope, and what it takes to run.
What is a LinkedIn post scraper?
It collects posts from LinkedIn profiles and company pages — the text, the format, the date, and the engagement counts — and returns them as a table rather than a feed. AllyHub takes a list of accounts in plain language, keeps to what is publicly visible, and can read the format and topic patterns in the same run.
Is AllyHub’s LinkedIn post scraper free?
Yes — one account’s public posts with the standard fields is on the free plan. Tracking a set of accounts, longer date ranges, scheduled re-runs, and the pattern-reading step are what the paid plans cover.
Does it give me the people who liked or commented?
No, and that’s deliberate. That list is people data, and building it is what a profile tool is for, along with the consent and retention questions that come with it. If you need the audience side, LinkedIn Profile Scraper is the right lane; this page stays on the content.
Do I need a LinkedIn login, Premium, or the API?
None of the three. AllyHub reads what a signed-out visitor can see, so there’s no cookie to paste, no subscription to hold, and no developer access to apply for. The trade is honest: posts an author restricted to their connections aren’t visible that way, so they aren’t in your file either.
Can I follow a hashtag or a topic instead of named accounts?
Yes — name the hashtag and AllyHub collects the public posts carrying it, with the same fields as an account pull. It’s the usual way in when you’re mapping a topic rather than a competitor set, and it reaches only the posts their authors made public.
How is this different from scrolling LinkedIn myself?
Scrolling gives you impressions and no export; by post forty you’re comparing from memory. AllyHub returns the same posts as sortable rows with formats and reaction splits attached, holds a whole set of accounts in one run, and compounds with every task — so the second month’s benchmark is a sentence rather than an afternoon.