The competition for LinkedIn contact data has exploded, but surprisingly, the two dominant players share more DNA than you might think. Understanding the shared features of Lusha and Kaspr for LinkedIn extraction can save you from costly trial-and-error while giving you the strategic advantage of knowing exactly what to look for in a B2B data tool.
Table of Contents
- Why LinkedIn Extraction Matters for B2B Sales
- Core Similarities Between Lusha and Kaspr
- Data Accuracy & Verification Standards
- Integration Capabilities
- Making the Choice That Grows Your Pipeline
- Ready to Scale?
Why LinkedIn Extraction Matters for B2B Sales
Let's get straight to the point. Your sales team lives and dies by the quality of your lead data. I've seen teams at companies like LoquiSoft transform their entire quarter simply by switching from manual prospecting to automated LinkedIn extraction. The thousands of hours your SDRs spend copying and pasting profiles could literally be generating qualified meetings instead.
LinkedIn remains the richest B2B database on the planet, with over 900 million professionals. The challenge isn't finding prospects—it's efficiently extracting verified contact information without getting your accounts restricted. Both Lusha and Kaspr emerged to solve this exact problem, though they come at it from slightly different angles.
Think about your current process. Are your sales reps still fighting with LinkedIn's connection limits or manual data entry? If you're anything like the teams we work with at EfficientPIM, you're probably leaving money on the table with every hour spent on low-value data collection tasks.
Core Similarities Between Lusha and Kaspr
Both tools share a browser extension architecture that integrates directly with LinkedIn's interface. This means no awkward tab switching or downloading CSV files from separate platforms. Your team can stay within LinkedIn's ecosystem while pulling contact details in real-time—something your sales reps will actually appreciate using.
Here's where it gets interesting: both platforms leverage similar data enrichment techniques, combining public LinkedIn profiles with external databases to complete contact information. In my experience managing outreach campaigns, this dual-source approach typically yields 15-20% higher data completeness than LinkedIn's native premium features alone.
Both platforms also offer Chrome-based compatibility that works seamlessly with Sales Navigator, giving you extended reach beyond standard LinkedIn profiles. This isn't just a convenience feature—it's a strategic advantage when you're targeting specific industries or company sizes.
Data Accuracy & Verification Standards
Let's talk about what actually matters: deliverability. Both Lusha and Kaspr employ multi-stage verification processes, but accuracy rates typically hover around 75-85% for premium users. That means roughly 1 in 4 emails might still bounce—hardly ideal when you're running precision outreach campaigns. When Prowle, an AI visuals company, needed contact data for their creative sector outreach, they discovered that standard verification wasn't enough for their hyper-targeted campaigns.
The shared weakness? Neither platform offers real-time verification against deliverability databases. You get cached verification data that might be weeks or even months old. This is where solutions like our instant B2B email scraper differ significantly, offering live verification with 95% accuracy rates.
Both tools do provide confidence scores with each email, typically color-coding contact reliability. This visual feedback helps your team prioritize outreach efforts, though I've noticed these scores can be misleadingly optimistic, especially for prospects who've recently changed companies.
Interestingly, both platforms also offer phone number extraction, though the accuracy varies dramatically by country and industry. For US-based B2B pros, expect hit rates around 60-70%—serviceable but not spectacular for multi-channel outreach campaigns.
Integration Capabilities
Where these tools truly shine is their CRM integration compatibility. Both connect seamlessly with Salesforce, HubSpot, and Pipedrive, allowing automatic data sync. This eliminates manual entry errors and ensures your contact data remains consistent across your entire sales stack.
I've worked with B2B teams who set up automated workflows that push extracted contacts directly into their sequence builders in tools like Outreach or SalesLoft. This one-two punch—data extraction plus automated follow-up—can reduce time-to-first-contact from days to mere hours.
Both platforms also offer API access for custom integrations, though pricing tiers vary significantly. If you're like Glowitone, the health and beauty affiliate platform that needed to process 258,000+ contacts, API access becomes essential for scaling beyond manual browser operations.
The flexibility of these integrations means you can build sophisticated prospecting workflows that automatically enrich new leads, tag them by campaign, and assign them to appropriate sales reps—all without human intervention. This is where the real ROI kicker happens in B2B sales automation.
Making the Choice That Grows Your Pipeline
So how do you decide between Lusha and Kaspr when their features look nearly identical on paper? The answer lies not in the feature comparison chart but in your specific use case. Are you primarily targeting specific industries, or do you need broad coverage across multiple verticals?
Consider your team's technical comfort level. Kaspr tends to be more developer-friendly with stronger API documentation, while Lusha focuses more on sales-user experience with cleaner interfaces and simpler setup processes. Neither wrong, just different strokes for different organizations.
Think about your scaling trajectory too. Based on our experience with clients like Proxyle, most companies outgrow browser-based extraction tools around the 10,000-contact-per-month mark. At that volume, server-based solutions with get clean contact data capabilities become more cost-effective and reliable.
Ask yourself: Are you solving for today's immediate needs, or investing in a scalable prospecting system that grows with your business? The answer will determine whether standard browser extensions suffice or if you need enterprise-grade extraction capabilities from the start.
Ready to Scale?
The shared features of Lusha and Kaspr represent the baseline requirement for any serious B2B prospecting operation. Both will solve your immediate LinkedIn extraction needs, but savvy sales leaders look beyond the obvious to consider long-term scalability and data accuracy as their primary decision factors.
Remember that these tools are just one component of your prospecting stack. The real magic happens when integrated thoughtfully with your CRM, sequence tools, and analytics platforms. Don't get lost in feature comparisons—focus instead on how each option accelerates your path to booked meetings and closed deals.
At EfficientPIM, we help teams like yours evaluate whether standard browser extensions meet their needs or if they've reached the scale where more robust extraction solutions make sense. The right choice depends entirely on your specific team, targets, and growth timeline.
What's your current cost per opportunity generated from LinkedIn prospects? If you can't answer that question immediately, that's your first step before adding any new tools. Master your metrics first, then optimize your tool stack accordingly.
