8 Best LinkedIn Scraper Tools Compared (2026 Guide)

LinkedIn holds data on over a billion professionals. For sales teams, recruiters, and marketers, that data is the starting point for every pipeline. The challenge? LinkedIn makes it deliberately difficult to extract that information at scale. That is where LinkedIn scraper tools come in.

A good LinkedIn scraper pulls profile data, company information, job titles, emails, and activity signals into a structured format you can actually use. But not all scrapers work the same way. Some run as browser extensions. Others operate in the cloud. A few use LinkedIn's own API endpoints, while others simulate browser behavior.

Picking the wrong tool can mean wasted money, inaccurate data, or worse, a restricted LinkedIn account. We tested and researched the eight most popular LinkedIn scrapers on the market to help you find the right fit. For a deeper look at how LinkedIn scraping works and the rules around it, check out our LinkedIn scraping guide.

Quick Comparison Table

Tool	Type	Starting Price	Email Enrichment	Cloud-Based	Best For
PhantomBuster	Cloud automation	$69/mo	Yes (credits)	Yes	Technical users who need multi-platform scraping
Apify	Cloud scraping platform	$49/mo	No	Yes	Developers building custom scrapers
Captain Data	Workflow automation	$399/mo	Yes	Yes	Enterprise teams with complex workflows
Evaboot	Sales Navigator export	$29/mo	Yes	No (extension)	Sales Navigator users who need clean exports
Skrapp	Email finder + scraper	$29/mo	Yes	Yes	Teams focused on finding verified emails
Dux-Soup	Browser extension	$14.99/mo	No	No (extension)	Solo users on a budget
LinkedHelper	Desktop automation	$15/mo	No	No (desktop app)	LinkedIn automation with CRM features
Flocurve	AI-powered outreach	$149/mo	Yes (included)	Yes	Teams who want scraping plus intelligent outreach

1. PhantomBuster

PhantomBuster is one of the most well-known names in LinkedIn scraping. It works through "Phantoms," which are pre-built automation scripts that run in the cloud. You can scrape LinkedIn search results, Sales Navigator lists, group members, post commenters, and more.

The tool is powerful but complex. Each scraping action is a separate Phantom, and connecting them into workflows (called Flows) takes some setup. Pricing is credit-based, which makes costs unpredictable if you are running high-volume extractions.

Pricing: Starts at $69/mo for 500 credits. Credits are consumed per action, so costs scale with usage.

Strengths: Wide range of scraping Phantoms, cloud execution, multi-platform support (LinkedIn, Instagram, Twitter, Google Maps).

Weaknesses: Credit system is confusing. Learning curve is steep for non-technical users. Email enrichment eats into credits quickly.

2. Apify

Apify is a web scraping platform, not a LinkedIn-specific tool. It runs "Actors" (pre-built or custom scrapers) in the cloud, and several community-built Actors focus on LinkedIn data extraction. You can scrape profiles, company pages, job listings, and search results.

The real power of Apify shows up when you need custom scraping logic. If you have a developer on your team, Apify lets you build scrapers tailored to your exact needs. For non-technical teams, the pre-built LinkedIn Actors work but can break when LinkedIn changes its page structure.

Pricing: Free tier available. Paid plans start at $49/mo with usage-based pricing.

Strengths: Highly customizable. Massive library of community scrapers. Good for developers who want control.

Weaknesses: LinkedIn Actors can be unreliable. No built-in email enrichment. Requires technical knowledge for best results.

3. Captain Data

Captain Data is an enterprise-grade data extraction and workflow automation platform. It connects LinkedIn scraping with email enrichment, CRM updates, and outbound sequencing in a single workflow. Think of it as PhantomBuster's more polished, more expensive cousin.

The tool excels at complex, multi-step workflows. Scrape a Sales Navigator list, enrich emails, push to HubSpot, trigger an outbound sequence. Captain Data handles that entire chain. But the pricing reflects the enterprise positioning.

Pricing: Starts at $399/mo. Custom enterprise pricing available.

Strengths: Clean UI, robust workflow builder, reliable cloud execution, strong integrations.

Weaknesses: Expensive. Overkill for teams that just need basic scraping. Minimum commitment can be high.

4. Evaboot

Evaboot is purpose-built for one thing: exporting clean data from LinkedIn Sales Navigator. It runs as a Chrome extension that adds an export button directly to your Sales Navigator search results. One click, and you get a CSV with names, titles, companies, emails, and more.

What sets Evaboot apart is its data cleaning. It automatically detects and removes false positives from Sales Navigator searches, giving you more accurate lead lists. If you already pay for Sales Navigator and want a simple way to get data out of it, Evaboot is hard to beat.

Pricing: Starts at $29/mo for 500 leads. Scales based on export volume.

Strengths: Dead simple to use. Excellent data cleaning. Built specifically for Sales Navigator.

Weaknesses: Only works with Sales Navigator (not regular LinkedIn). Browser extension, not cloud-based. Limited to profile exports.

5. Skrapp

Skrapp combines LinkedIn profile scraping with email finding in one tool. The Chrome extension lets you scrape profiles individually or in bulk from search results, and Skrapp simultaneously searches for verified email addresses associated with those profiles.

Email accuracy is where Skrapp focuses its effort. The tool cross-references multiple data sources to verify email addresses, claiming accuracy rates above 90%. For teams whose primary goal is building email lists from LinkedIn data, Skrapp delivers.

Pricing: Free tier with 100 emails/mo. Paid plans start at $29/mo for 1,000 emails.

Strengths: Good email accuracy. Simple Chrome extension. Reasonable pricing for email-focused use cases.

Weaknesses: Limited profile data extraction compared to full scrapers. No automation features. Extension-based, so it requires your browser to be open.

6. Dux-Soup

Dux-Soup is a veteran LinkedIn automation tool that has been around since 2016. It runs as a Chrome extension and can scrape profiles, auto-visit profiles, send connection requests, and manage follow-up messages. The scraping functionality is built into its broader automation suite.

For solo users or small teams on a tight budget, Dux-Soup offers a lot of value at a low price point. The trade-off is that it runs in your browser, which means your computer needs to be on and Chrome needs to be open for it to work.

Pricing: Starts at $14.99/mo for the Pro plan. Turbo plan at $55/mo adds more automation features.

Strengths: Very affordable. Established tool with a large user base. Combines scraping with basic outreach automation.

Weaknesses: Browser-based execution limits scale. Interface feels dated. Higher risk of LinkedIn detection since it operates directly in your browser.

7. LinkedHelper

LinkedHelper takes a different approach by running as a standalone desktop application rather than a browser extension. It creates its own browser instance to interact with LinkedIn, which gives it more control over execution speed and patterns. The tool handles scraping, connection requests, messaging sequences, and basic CRM functionality.

The desktop app approach has pros and cons. It is more stable than browser extensions and gives you a built-in CRM for managing scraped leads. But it only runs when the app is open on your machine.

Pricing: Starts at $15/mo for the Standard plan. Pro plan at $45/mo adds InMail automation and other advanced features.

Strengths: Built-in CRM. More stable than browser extensions. Good value for the feature set.

Weaknesses: Desktop-only (no cloud execution). Windows-focused (Mac support is limited). Learning curve for the interface.

8. Flocurve

Most LinkedIn scrapers stop at data extraction. You get a spreadsheet of names, titles, and maybe emails. Then it is on you to figure out who to contact, what to say, and when to reach out. Flocurve takes a fundamentally different approach by combining LinkedIn scraping with AI-powered outreach intelligence.

Flocurve monitors over 30 buying signals across LinkedIn activity, funding events, job changes, and competitor engagement. Instead of scraping a static list and blasting generic messages, you get real-time alerts when prospects show intent, plus AI-generated messages tailored to each signal.

Pricing: Growth plan at $149/mo includes 2 LinkedIn accounts and 200 verified emails. Scale plan at $299/mo includes 5 accounts and 1,000 verified emails. Both come with a 7-day free trial.

Strengths: Buying signal detection turns raw data into actionable intelligence. AI-written messages that sound human. Multi-channel outreach (LinkedIn plus email) in one platform. Verified email enrichment included.

Weaknesses: Higher starting price than basic scrapers. Focused exclusively on LinkedIn (no other social platforms). Newer platform with a growing feature set.

How to Choose the Right LinkedIn Scraper

Your choice depends on three factors: what you need the data for, your technical skill level, and your budget.

If you just need clean CSV exports from Sales Navigator, Evaboot is the simplest option. It does one thing and does it well.

If you want maximum flexibility and have a developer available, Apify gives you the most control over what and how you scrape.

If you need an all-in-one scraping and basic automation tool on a budget, Dux-Soup or LinkedHelper will cover the basics without breaking the bank.

If you want scraping connected to intelligent outreach, Flocurve is the only tool on this list that turns scraped data into signal-driven conversations. You skip the manual work of deciding who to contact and what to say.

For a detailed breakdown of LinkedIn scraping methods, compliance considerations, and best practices, read our complete LinkedIn scraping guide.

FAQ

Is it legal to scrape LinkedIn?

The legality depends on how you do it and what data you collect. The 2022 hiQ v. LinkedIn ruling established that scraping publicly available data is not a violation of the Computer Fraud and Abuse Act. However, violating LinkedIn's Terms of Service can result in account restrictions. Always avoid scraping private data, and follow GDPR rules if you handle EU resident data.

Will LinkedIn ban my account for using a scraper?

It is possible. LinkedIn actively detects automation and scraping behavior. Cloud-based tools generally carry lower risk than browser extensions because they do not operate directly in your LinkedIn session. Using reasonable rate limits and mimicking human behavior patterns reduces your risk significantly.

Can LinkedIn scrapers find email addresses?

Some can, but not all. Tools like Skrapp, Evaboot, and Flocurve include email enrichment as part of their scraping workflow. Others, like Apify and Dux-Soup, focus on profile data extraction and require a separate email finder tool.

What is the difference between a LinkedIn scraper and LinkedIn automation?

A scraper extracts data from LinkedIn (profiles, emails, company info) into a usable format. Automation tools perform actions on LinkedIn (sending connection requests, messages, profile visits). Many tools, including Flocurve, combine both capabilities so you can extract data and act on it within the same platform.