Kavex vs Kaspr — LinkedIn Leads, No Seat Fees (2026)
People comparing kavex vs kaspr usually like Kaspr's convenience — the contact's phone and email appear right inside LinkedIn while you browse — but they've hit one of two walls: the per-seat price as the team grows, or the one-profile-at-a-time ceiling when they actually need a list of 2,000, not a reveal of one. This page is about which side of that line you're on.
Kaspr is a Chrome extension that surfaces B2B contact data without leaving LinkedIn. Open a profile, click, and you get the email and — its real draw — a phone number, often a direct mobile, pulled from Kaspr's database. It's fast and tactile for a rep working accounts by hand. The model is per user, per month, with separate credit pools for B2B emails, phone reveals and direct emails.
Kavex isn't an extension and doesn't ride along inside LinkedIn. It's a bulk lead engine: feed it profile URLs, a company's people, a search of look-alikes, and it scrapes them server-side — around 26 fields per profile — then exports to CSV or API. And LinkedIn is only one of its surfaces; the same account scrapes Google Maps, finds and verifies emails, and writes AI cold-email openers. The mental model: Kaspr reveals contacts one at a time as you browse; Kavex builds lists at volume in the background.
Pricing: per-seat subscription vs. per-result, no seats
Kaspr is per seat. Paid plans land roughly between $49/user/month (Starter) and $79/user/month (Business), billed annually — monthly billing costs about 25% more. Each seat carries metered pools: B2B emails (generous), phone credits (often ~100–200/month), and a smaller pool of direct emails. There's a small free plan (a handful of phone and email credits a month). The structure rewards a single power-user and punishes a team — five reps means five subscriptions.
Kavex has no per-seat fee and no monthly base. Invite your whole team to one account; you're billed per result. A LinkedIn profile scrape is 3 credits ($0.003); a Google Maps lead is 2 credits ($0.002); email find and verify are priced per lead. Every new account starts with 1,000 free credits — about 500 enriched leads — no card. For anything past one seat, the per-result model almost always comes out lower at typical volumes.
The honest concession: if you're a solo SDR who reveals a modest number of contacts a month and lives inside LinkedIn all day, Kaspr's flat seat price can be the simpler, even cheaper, choice — and you get those direct mobiles.
Where Kavex pulls ahead
- No per-seat cost. One account, the whole team, billed only on results.
- Bulk, not one-at-a-time. Queue thousands of profiles or a whole company's people set and let it run — no manual click-per-contact.
- More than LinkedIn. Google Maps, email find + verify, AI cold-email personalization and trigger watches in the same place; Kaspr is LinkedIn-contact focused.
- More fields per profile. ~26 fields per LinkedIn profile for richer segmentation.
- No idle cost. Pay-per-result means quiet months cost nothing.
- 1,000 free credits to evaluate before you commit a budget.
Where Kaspr is the better fit
- Verified personal mobiles. Kaspr's database is built around direct dials — the "mobile that picks up." Kavex only surfaces phone numbers that are public.
- In-LinkedIn workflow. If your reps work accounts manually inside LinkedIn, the click-to-reveal extension fits the muscle memory; Kavex is a separate dashboard.
- Instant single reveals. For one contact right now, a database lookup beats queuing a scrape job.
- Solo, low-volume use. One seat, modest reveals — the flat price can be simplest.
Feature-by-feature
| What you're buying | Kavex | Kaspr |
|---|---|---|
| LinkedIn data | Bulk scrape, ~26 fields/profile | In-extension reveal, profile-by-profile |
| Chrome extension (in-LinkedIn) | No | Yes — core product |
| Verified personal mobiles | Public numbers only | Yes — specialty (phone credits) |
| Google Maps scraping | Yes | No |
| Email finder + verifier | Yes | Yes |
| AI cold-email personalization | Yes | No |
| Pricing model | Per result, no seats | Per seat, per month |
| Team of 5 cost | One account, pay per result | Five subscriptions |
| Free to start | 1,000 credits on signup | Small free plan (few credits) |
Who should pick which
The Kavex vs Kaspr decision really turns on volume and seats: a single rod-and-reel reveal tool, or a net that builds whole lists for a team.
Pick Kavex if you're building lists at volume and/or running a team — you want LinkedIn and Maps and email enrichment from one account, with no per-seat tax and no idle-month cost. It's the better fit for agencies, founders and ops teams feeding a pipeline rather than working one profile at a time.
Pick Kaspr if you're a rep (or a small team) who lives inside LinkedIn, reveals contacts one at a time as you prospect, and most values direct mobile numbers. That's the field Kaspr owns, and the extension fits a manual, account-by-account motion.
Try Kavex free
If the per-seat math or the one-at-a-time ceiling is what sent you searching, the quickest test is to run a real list. Every Kavex account starts with 1,000 free credits — about 500 enriched leads — so you can scrape a batch of LinkedIn profiles, pull a Maps list for the same target market, verify the emails, and see the per-result model in practice. No credit card, no seat to buy.
Start free with 1,000 credits →
Keep comparing
- Kavex vs Lusha — the other big "verified phone numbers" comparison
- Kavex vs Phantombuster — LinkedIn scraping, per-result vs. per-hour
- Kavex vs Apollo — database seats vs. live scraping
- Recruiting and sourcing leads — bulk LinkedIn people lists
- LinkedIn Profiles scraper — the 26 fields, priced
Start free — 1,000 credits, no card.
Pick a category and a city, run Google Maps, and export an enriched CSV.
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