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.
Other LinkedIn scrapers hand you everyone who liked the post. AllyHub reads the post: what was said, in what format, which reaction it drew.
Name the accounts, set the window, and take away a sortable record of what they posted.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
B2B content leads, ghostwriters, competitive marketers, and researchers — anyone who has to know what works on LinkedIn before writing it.
The pain: 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.
The pain: 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.
The pain: 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.
The pain: 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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What people ask before pulling LinkedIn posts — what’s visible, what’s out of scope, and what it takes to run.
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.
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.
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.
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.
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.
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.