The Whole Public Record
Who they are, what they do now, and how they got there — the profile as the member has chosen to show it, landed as one row per person instead of a tab each.
Lead Finding
LinkedIn Profile Scraper
Turn a folder of LinkedIn profile links into a table you can sort — names, titles, companies, and work histories, for everyone on your list.
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What Can the LinkedIn Profile Scraper Do
You already know who these people are — what you don't have is them side by side, in something you can sort. AllyHub works down the list you supply and writes what each member has made public into a row.
Contact, Only If Published
When someone has written an email or a website into their public profile, it comes back in that row. When they haven't, the field is empty — AllyHub doesn't go looking elsewhere for it.
List In, File Out
Hand over the profile links you've collected, a handful or a long list, and the finished set downloads as CSV or JSON. Neither a developer key nor a line of code enters into it.
How to Scrape LinkedIn Profiles with AllyHub
From a folder of links to a sortable LinkedIn dataset in three steps.
01
Bring Your Profile Links
Paste the LinkedIn profile URLs you want covered, and say which fields matter and how the finished set should be filtered and ordered.
02
AllyHub Opens Each One
Working in your own browser session, it records name, headline, location, current title and company, past roles, education, skills, and any contact the member published.
03
Sort, Export, or Repeat
Rank and filter the set, export to CSV or JSON, and keep the run as a Playbook so the same list can be refreshed next quarter.
Why Choose AllyHub's LinkedIn Profile Scraper
Most of this category sells guessed contact details and stays quiet about the risk.
We Don't Guess Emails
The headline feature across this category is a verified email and a mobile number — figures that come from third-party databases, not from the page in front of you. AllyHub returns what the member published and leaves the rest blank, so you know where each detail came from.
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You Choose Who's On It
Most of these tools start by finding people for you: run a search, sweep a staff directory, walk away with strangers. AllyHub starts from the links you already gathered — the candidates you shortlisted, the accounts your team works — and doesn't go out looking for anyone you didn't name.
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Runs in Your Own Session
Extensions in this category drive your LinkedIn account and rarely say so. AllyHub works in the browser session you're already signed into, at your direction, with nothing handed to a third party. LinkedIn limits automated collection, so the pace and size of a run stay your call.
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The Same List, Next Quarter
Titles change, people move, companies rename themselves. Keep the list and the fields as a Playbook and next quarter's refresh is one instruction instead of an afternoon — your AllyHub never starts from scratch again, so the same roster gets faster every time.
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Who Uses AllyHub's LinkedIn Profile Scraper
For sales, recruiting, competitive intelligence, and research teams who already know who they need and just need them in one file.
B2B Sales & RevOps
Two hundred saved profile links sit in a browser folder, and nobody has the afternoon it takes to type them into the CRM. Hand the folder over and the set comes back as rows — titles, companies, tenure — ready to import and segment before the quarter turns.
Recruiting & Talent Teams
A shortlist living in twenty open tabs, where comparing two candidates means reading both again. Pull the profiles you've gathered into one table and sort by tenure, seniority, or where someone trained, and the comparison stops running on memory.
Competitive & Market Intelligence
You track a rival's team by remembering who used to work there, which fails the moment someone quietly moves. Keep the people you watch as a saved list, re-pull it on your own schedule, and a move shows up as a changed cell instead of a rumour.
Research & Analysis Teams
Workforce questions need structured records, and a hundred profiles read one by one is not a dataset. Turn the cohort you defined into rows carrying roles, tenures, and education, so the analysis starts from a file rather than a browser.
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FAQs About the LinkedIn Profile Scraper
What it reaches, what it leaves blank, and where it hands off.
What is a LinkedIn profile scraper?
It lifts the details off a member's public LinkedIn page — name, current role, employer, earlier positions — and puts them somewhere you can actually work with them: a spreadsheet, a CRM, an analysis. The term covers everything from a browser extension to a paid API; AllyHub's version is an agent you point at a set of links.
Is AllyHub's LinkedIn profile scraper free?
Yes. A short list of profiles runs on the free plan with the standard fields. Longer lists, refreshing a saved roster on a schedule, and pushing results into a CRM or a research pipeline sit on the paid tiers.
Do I need LinkedIn Premium, the API, or any code?
None of the three. There's no developer programme to apply to and nothing to script: AllyHub works in the browser session you're already signed into and reads the pages the way you would. No Premium tier to buy, and no credentials handed anywhere.
What can't it do?
Three limits worth knowing. It works from profile links you supply — it won't sweep a company's staff directory or run a people search on your behalf. It only sees what a member has made public, and LinkedIn lets anyone switch sections, or their whole public profile, off. And if you want posts or job listings rather than people, those are the LinkedIn Post Scraper and the LinkedIn Jobs Scraper.
How is this different from copying profiles by hand?
Mostly in what's left afterwards. Copying gets you the same fields and loses the method: by the fortieth profile you're comparing from memory, and next quarter starts from nothing. This keeps the list, the fields, and the filters together as a Playbook, so the refresh is a sentence — every token produces more value than it did on the first pass.