Scraping LinkedIn is legal in the sense that matters most: the Ninth Circuit’s hiQ v. LinkedIn ruling established that pulling publicly visible data doesn’t violate the CFAA. But “legal” and “safe for your account” are two different questions, and LinkedIn has gotten more aggressive about enforcement, most notably its 2025 lawsuit against Proxycurl, which permanently shut down in July 2026 after LinkedIn accused it of running hundreds of thousands of fake accounts to harvest profile data. If you’re building a prospecting list or a lead gen workflow, you need LinkedIn scraping tools that stay on the right side of both the law and LinkedIn’s detection systems. Here are nine that do it well, ranked by how they balance data quality, compliance, and account risk.
1. PhantomBuster
PhantomBuster is the default answer for a reason: it covers profile scraping, search results, Sales Navigator exports, company pages, and post engagement in one platform. Its “Phantoms” run in the cloud rather than on your machine, which is convenient, but they do route traffic through your actual LinkedIn session, so your account absorbs whatever detection risk exists. Growth plans start around $69/month for 5 Phantoms and 500 AI credits, scaling to $159/month for the Business tier.
Best for: teams that want flexible, no-code automation across profiles, search, and Sales Navigator without writing scripts.
2. Bright Data
Bright Data takes a different approach entirely: instead of automating your logged-in session, its LinkedIn Web Scraper API pulls structured data from public pages using residential proxies and a dedicated scraping infrastructure. That separation from your personal account is the main appeal if you’re scaling past what a single seat can safely handle. It’s built for developers who want raw data feeds (Profile, Post, and Company APIs) rather than a point-and-click dashboard.
Best for: engineering teams building custom pipelines who need volume without tying scraping activity to a personal LinkedIn login.
3. Apify
Apify’s LinkedIn actors (its term for pre-built scrapers) cover Sales Navigator, job listings, company pages, posts, and ads. Because Apify runs in API mode for many of its scrapers, you can avoid handing over a LinkedIn cookie entirely for certain use cases, which meaningfully lowers account-ban exposure. It’s usage-based pricing, so cost scales with how much data you actually pull rather than a flat monthly seat fee.
Best for: teams that want off-the-shelf scrapers with the option to go cookie-free for lower-risk extraction.
4. Evaboot
Evaboot is narrower by design: it cleans and exports Sales Navigator search results, verifying emails and stripping out junk data (wrong titles, dead accounts, duplicate entries) that Sales Navigator itself doesn’t filter well. Pricing runs from roughly $49/month for 2,000 leads up to $129/month for 10,000. If you already pay for Sales Navigator and just need clean exports, this is more targeted than a general-purpose scraper. For more on getting the most out of Sales Navigator before you export anything, see our Sales Navigator hacks backed by real data.
Best for: Sales Navigator users who want clean, verified list exports without building a broader scraping stack.
5. Captain Data
Captain Data positions itself as an automation and data orchestration layer, not just a scraper. It connects LinkedIn scraping to your CRM, enrichment tools, and outbound sequences in a single workflow, with usage-based, credit-metered pricing (starting around $165 for 2,500 credits). It’s more expensive per unit than dedicated scrapers, but you’re paying for the orchestration, not just the extraction.
Best for: RevOps teams that want scraping wired directly into a broader data and automation stack rather than a standalone tool.
6. Wiza
Wiza specializes in turning Sales Navigator searches and LinkedIn URLs into verified email lists, with a free tier and paid plans from around $49 to $199/month depending on volume. It’s less of a general scraper and more of an email-finding layer that sits on top of LinkedIn search results, which makes it a reasonable complement to a broader outreach stack.
Best for: teams whose main goal is verified email discovery rather than full profile or company data extraction.
7. Skrapp
Skrapp is a budget-friendly option starting at $30/month billed annually (or $49 month-to-month), with a 50-credit free tier to test before committing. It focuses on email finding and basic profile data rather than deep scraping across search results or company pages, which keeps it simple but limits how much heavy lifting it can do on its own.
Best for: solo operators or small teams who need occasional email lookups without paying for enterprise-grade scraping infrastructure.
8. Derrick
Derrick has emerged as one of the safer options on account-security grounds because it doesn’t require pasting your LinkedIn cookie into a third-party cloud service the way session-based tools do. Several 2026 comparisons flag it specifically for lower ban risk relative to cookie-dependent scrapers like PhantomBuster or LinkedHelper, while still covering profile, company, and search data.
Best for: anyone who’s had an account restricted before and wants to minimize how much scraping activity touches their actual login session.
9. Lix
Lix offers a Chrome extension plus API access for exporting LinkedIn and Sales Navigator data, positioning itself as a lighter-weight alternative to the bigger platforms. It’s a reasonable fit if you want browser-based control over what you export without committing to a full automation platform, though it has a smaller feature set than Apify or Bright Data at scale.
Best for: individual sales reps who want quick, manual exports without setting up cloud automation.
Choosing LinkedIn Scraping Tools You Can Trust
None of these tools make scraping risk-free. LinkedIn’s own terms of service prohibit automated data collection, even though U.S. case law (so far) hasn’t found that a violation of federal computer-fraud statutes when the data is public. The practical risk isn’t a lawsuit, it’s account restriction: rate limits, temporary locks, or permanent bans if a tool routes too much traffic through your session too fast. If you’re layering scraping on top of outreach automation, it’s worth pairing your tool choice with sane usage limits, which is the same advice we give in our rundown of the best LinkedIn automation tools for 2026. Start with a low daily volume, prefer tools that don’t require your session cookie when the data allows it, and treat any tool promising unlimited, instant scraping at scale with real skepticism. That’s usually the profile that gets accounts flagged or, in Proxycurl’s case, sued out of existence.