Best LinkedIn Scrapers in 2026: Public Data and the Real Rules

November 8, 2026

Most "best LinkedIn scraper" lists skip the hard part. LinkedIn prohibits scraping in its User Agreement, it enforces that in court, and well-known scraping companies have shut down over it. This guide starts with the rules, then compares the options by what they read and how much risk they carry.

What LinkedIn's terms say

Section 8.2 of LinkedIn's User Agreement lists what members agree not to do, including developing or using "software, devices, scripts, robots or any other means or processes" to "scrape or copy the Services, including profiles and other data", and using "bots or other unauthorized automated methods to access the Services" User Agreement. These terms bind people who have accepted them, which is everyone with a LinkedIn account.

What the cases show

• hiQ Labs v. LinkedIn. After years of litigation over public profiles, a California federal court held in November 2022 that LinkedIn's terms prohibiting scraping and fake profiles were enforceable against hiQ. The parties then agreed to a $500,000 judgment and an injunction requiring hiQ to stop scraping and destroy the data and code built from it National Law Review.
• Proxycurl. LinkedIn sued the LinkedIn data API Proxycurl in January 2025. Its founder announced the shutdown on 4 July 2025, "to comply with the legal settlement with LinkedIn" founder's post.

The pattern: logged-in scraping, fake accounts and large-scale profile copying are what get companies sued. Reading a small amount of public, logged-out data is a different risk level, but not zero.

This is not legal advice. Terms and case law change, and the answer depends on where you are and what you do with the data. Talk to a lawyer before you build a business on it.

The options compared

Official APIs

LinkedIn's Community Management API is open to approved developers. Its development tier allows 500 calls per app per 24 hours LinkedIn access tiers. For organizations you don't administer, the organization lookup returns only a few fields (id, name, website, vanity name, logo, locations, type), and the network size endpoint gives a follower count for any organization Organization Lookup docs. Reading an organization's posts needs r_organization_social, which is limited to organizations where you hold an admin or content role Posts API docs. Good for: your own Pages. Not for: research on others.

Browser-session scrapers

Tools like the open-source linkedin_scraper drive a real browser with your saved login session GitHub. Cloud tools such as PhantomBuster work similarly with your session cookie (see our PhantomBuster comparison). They are capable, and the data is rich. The account doing the scraping is yours, and section 8.2 applies to it directly. If LinkedIn restricts that account, you lose your professional network too.

Public-data APIs

Some APIs return only what LinkedIn shows logged-out visitors: company pages, public posts and public profile sections. Ask any vendor three questions: do you use logged-in accounts, do you read only public pages, and what happens to your service if LinkedIn objects? Bright Data, for example, sells LinkedIn datasets; see our Bright Data comparison.

Checklist for responsible LinkedIn data use

• Logged out, public pages only. No fake or borrowed accounts.
• Collect the minimum. A company's follower count needs no employee data.
• Don't build databases of people's profiles for resale.
• Honor deletion. If a person asks you to remove their data, do it.
• Don't use scraped data for unsolicited bulk messaging.
• Know your privacy law: GDPR and similar laws apply to public personal data too.

How to do it with ScrapeIO

ScrapeIO reads only public LinkedIn data and never logs in or acts as a user. The LinkedIn company API and LinkedIn company posts API cover company research, the LinkedIn post API and LinkedIn post search API cover content, and the LinkedIn profile API returns a public profile from its URL. Each call is 1 credit. Use the profile endpoint for specific people with a clear reason, not for building lists.

Sources

Checked on 8 November 2026 from each vendor's own pages. Prices and limits change; follow the links before you decide.

• https://www.linkedin.com/legal/user-agreement
• https://www.natlawreview.com/article/linkedin-s-data-scraping-battle-hiq-labs-ends-proposed-judgment
• https://nubela.co/blog/goodbye-proxycurl/
• https://learn.microsoft.com/en-us/linkedin/marketing/increasing-access
• https://learn.microsoft.com/en-us/linkedin/marketing/community-management/organizations/organization-lookup-api
• https://learn.microsoft.com/en-us/linkedin/marketing/community-management/shares/posts-api
• https://github.com/joeyism/linkedin_scraper