Kaspr Review

Kaspr is a contact-data tool built around a single moment: you're looking at a LinkedIn profile and want that person's email or phone number without leaving the tab. This review covers what the extension and dashboard actually do, what the per-seat pricing works out to once credits run thin, what third-party reviewers say, and who should look elsewhere.

Verdict at a glance

What kind of tool is Kaspr?

Kaspr isn't a standalone prospecting database you search from a blank page — it's a reveal-and-enrich layer that sits on top of LinkedIn (and, via the dashboard, on top of lists you already have). The Chrome extension adds a panel to LinkedIn profiles that shows verified emails and phone numbers on request, pulling from a claimed pool of 500M+ verified contacts across 200M+ profiles sourced from 150-plus data providers. A companion dashboard lets you manage the contacts you've collected, run bulk enrichment against an uploaded list, and push everything into a CRM or dialer.

That scoped design is the whole pitch: instead of learning a new search interface with dozens of filters, you keep browsing LinkedIn the way you already do, and Kaspr fills in the one piece LinkedIn withholds — direct contact info.

How it works

Installing the extension takes a few minutes and doesn't require any DNS work, database import, or CRM cutover. Once it's live, contact reveals happen directly on the LinkedIn profile or Sales Navigator search results page: click reveal, spend a credit, get an email or phone number. Bulk enrichment works the same way against uploaded lists rather than one profile at a time — useful for recruiters and SDRs clearing a backlog of saved leads rather than working live.

Native integrations push contacts into HubSpot, Salesforce, Pipedrive, and Zoho CRM, plus dialers Aircall and Ringover and outreach tools including Lemlist and Brevo. Business and Enterprise plans add API access for teams that want to script the enrichment step into their own tooling rather than working through the dashboard. Kaspr doesn't publish a long integration marketplace the way category-scale platforms do — Zapier fills most of the remaining gap.

Kaspr pricing (2026)

The real-cost traps are in the credit types, not the sticker price:

• "Unlimited" only covers B2B (work) email credits. Direct/personal email credits — the ones you need when a prospect's work address bounces or they've left the company — stay capped at 5 per month on Starter, identical to the free plan. Teams that lean on personal emails will burn through that in the first week and need Business or paid add-on credits.
• Per-seat pricing compounds fast. A 5-person SDR team on Business billed monthly is $495/month before any add-on credit purchases; billed annually it's $395/month. There's no team-pool discount structure published — every seat pays the per-user rate.
• Add-on credits run roughly €0.20–€0.35 each (phone, direct email, and export credits), scaled by volume. If your Starter team consistently needs more than 5 direct-email reveals a month, budget for this on top of the base seat price.
• Monthly billing carries a real premium — about 33% more per seat on Starter ($65 vs $49) and 25% more on Business ($99 vs $79) — so month-to-month flexibility costs meaningfully more than committing annually.

What users say

Kaspr shows a 4.4-out-of-5 rating from more than 750 G2 reviews on its own site — a large enough base to take seriously, though we weren't able to pull G2's individual review text directly (G2 blocks automated access), so we're citing the aggregate score rather than quoting reviewers. SoftwareAdvice, which does publish readable review summaries, shows a lower 3.3/5 from a much smaller sample of three reviews — worth noting as a small n, but the specific themes there are informative regardless of the star count.

On the positive side, reviewers consistently point to ease of setup — install the extension, start pulling data within minutes — and to credit generosity relative to competitors; one SoftwareAdvice reviewer described Kaspr's credits as "easy to obtain" compared with rival tools that meter more aggressively. Reviewers also credit the tool with real pipeline impact: contact reveal turning LinkedIn browsing directly into dialable, emailable lists rather than a separate research step.

The negative themes cluster around two things. First, phone-number data quality: reviewers report Kaspr can't reliably distinguish a professional number from a personal one, and some describe lower phone-match success rates than rivals like Zeliq or FullEnrich when hunting a direct line rather than a switchboard number. This matters most for recruiters and outbound reps who need a specific person's cell, not just any number associated with them. Second, customer support: multiple reviews describe difficulty reaching a human and getting a resolution once you do — a common complaint for a tool priced as a lightweight utility rather than a high-touch platform, but one that stings more when a data or billing issue actually needs a person to fix it. A smaller but recurring complaint is stale or unexpected data on some records, which is close to unavoidable for any provider aggregating from 150-plus sources but worth planning around rather than assuming away.

Pros and cons

Pros

• Contact reveal happens inline on LinkedIn, no separate search tool to learn
• Free tier with no credit card, genuinely usable for light prospecting
• Unlimited B2B (work) email credits on every paid plan
• Native CRM and dialer integrations cover the common sales stack
• Large G2 review base (750+) with a solidly positive aggregate score

Cons

• Direct/personal email credits stay capped at 5/month even on Starter
• Per-seat pricing with no visible team-pool discount, so costs scale linearly with headcount
• Phone-number accuracy, especially distinguishing personal from professional lines, is a recurring complaint
• Support responsiveness is a recurring complaint in smaller review samples
• Monthly billing carries a 25–33% premium over annual

Kaspr alternatives

Kaspr's category — LinkedIn-adjacent contact enrichment — has several credible players at different points on the price-versus-database-size spectrum:

• Apollo — a much larger standalone database with built-in sequencing, better for teams that want prospecting and outreach in one platform rather than an extension.
• ZoomInfo — the enterprise-scale incumbent with deeper firmographic and intent data, at a materially higher price point and typically an annual contract.
• Lusha — closest direct competitor on model: a similar Chrome-extension-first reveal workflow with its own credit-based pricing.
• Cognism — leans on compliance and international phone coverage, positioned for regulated industries and EMEA-heavy teams.
• Seamless.AI — real-time search-based enrichment with its own accuracy debates in reviews, worth comparing directly on phone data if that's your priority.
• Clay — a different model entirely: a workflow/automation layer that stitches together multiple enrichment providers (including Kaspr-adjacent tools) rather than being a single data source.

If your prospecting genuinely starts and ends on LinkedIn, Kaspr's extension-first model is faster to adopt than any of these. If you need a large standalone database with advanced filtering before you ever open LinkedIn, Apollo or ZoomInfo are the better starting point.

Who should use Kaspr — and who shouldn't

Good fit: SDRs and account executives who spend their prospecting time on LinkedIn and Sales Navigator and just need the contact-info gap filled; recruiters sourcing candidates the same way; solo founders and small teams who want a lightweight, per-seat tool rather than a platform migration.

Poor fit: teams that need a large standalone searchable database with heavy firmographic filtering before touching LinkedIn at all; anyone whose outbound depends specifically on reliable personal/direct phone numbers, where reviewers flag Kaspr as weaker than dedicated alternatives; teams with many seats who want volume-based per-user discounts, since Kaspr's per-seat pricing doesn't flex with headcount.