Is LinkedIn Legit & Safe?
With 4.6 stars across 2,968 ratings, LinkedIn is an established app on the App Store. The 1-3 star reviews below show the specific issues some users hit, not red flags about the app itself.
Based on public App Store data and user reviews. Not affiliated with LinkedIn Corporation.
What users complain about in LinkedIn
Users frequently complain about excessive verification processes, including repeated captchas and requests for government ID, which often fail or lock them out of their accounts. Many also criticize the job search functionality, citing poor filters, inability to sort results, and issues with saved jobs. Additionally, users express frustration with the app's instability, bugs, and the introduction of video content that they feel detracts from LinkedIn's professional focus.
Summarized from 317 recent 1-3 star reviews.
LinkedIn: frequently asked questions
Is LinkedIn legit?
LinkedIn is a legitimate app listed on the App Store with a 4.6 star rating from 2,968 ratings. "Legit" and "good for you" are different questions: the 1-3 star reviews below show where real users run into trouble.
Is LinkedIn safe to download?
LinkedIn is distributed through the official App Store, which screens apps before listing. The main safety questions for most users are around subscriptions, data permissions, and billing. The negative reviews below surface those concerns when users report them.
Is LinkedIn a scam?
LinkedIn is a real, store-listed app rather than a scam link. As with any app, scan the negative reviews below for billing or subscription complaints so there are no surprises after install.
Why does LinkedIn have negative reviews?
Even well-rated apps collect 1-3 star reviews when users hit specific friction: crashes, paywalls, account issues, or missing features. The reviews below group these complaints so you can judge whether they affect your use case.
Should I download LinkedIn?
For most users, LinkedIn is a safe choice given its 4.6 star rating. Skim the negative reviews below to check the edge cases (regional limits, payment methods) that the high average hides.