What is Kaspr?

What Kaspr is and how it works

Kaspr is a Chrome extension that pulls phone numbers and email addresses from LinkedIn profiles. This means you install it in your browser, visit a LinkedIn profile, click the Kaspr button, and get contact details instantly.

The tool focuses on European B2B contacts and runs on a credit system. Every time you reveal a phone number or email, it costs credits from your monthly plan. Kaspr is owned by Cognism (a European sales intelligence company that emphasizes GDPR compliance in how it sources and handles data).

Here's what makes Kaspr different from full sales intelligence platforms. It does one thing: extract contacts from LinkedIn. You won't find buyer intent signals, technographic data, or account hierarchies. The trade-off is simplicity and a lower price point for individual users who just need contact information.

The platform works across three LinkedIn interfaces:

• Standard LinkedIn profiles

• Sales Navigator searches and profile views

• Recruiter Lite candidate profiles

You're browsing LinkedIn already. Kaspr sits in your workflow and reveals contacts without forcing you into a separate prospecting platform.

Kaspr features and capabilities

Kaspr built its product around LinkedIn data extraction. The feature set stays narrow by design, targeting users who want contact lookup without the complexity of enterprise sales tools.

LinkedIn Chrome Extension

The Kaspr Chrome extension is how most people use Kaspr. You install it once, and it activates automatically when you visit LinkedIn.

Here's the workflow. You're looking at a prospect's LinkedIn profile. You click the Kaspr icon in your browser toolbar. The tool scans the profile and shows available phone numbers and email addresses. This is a real-time retrieval mechanism, not a cached database lookup: data is checked at the moment of request, which matters because contact information changes when people switch jobs or update numbers. Click to reveal, and the contact gets added to your Kaspr dashboard. From there, you can export to your CRM or download as a CSV.

You pay per contact revealed. If Kaspr finds a mobile number and a work email for someone, revealing both costs two credits. If it only finds an email, you pay for one credit. No contact found means no charge.

The extension works best when you're doing targeted prospecting. You've identified specific people you want to reach, and you need their contact details fast. It's less useful for building large lists because the credit costs add up quickly.

Data Enrichment and Bulk Search

Kaspr lets you enrich contact lists you already have. This means taking a spreadsheet of names and companies and filling in missing phone numbers and emails.

Upload a CSV with basic information like first name, last name, and company. Kaspr matches those records against its database and returns any contact details it finds. You get back an enriched file with new data columns populated.

The bulk search feature works differently. You run a search in LinkedIn Sales Navigator, and Kaspr extracts contacts from all the results at once. Instead of clicking through fifty profiles individually, you select them all and reveal contacts in batch. This saves time but burns through credits faster.

You can also set up automated workflows. For example, save a Sales Navigator search and have Kaspr check it daily for new profiles that match your criteria. When new people appear, Kaspr automatically reveals their contacts and adds them to a list. This keeps your prospecting lists fresh without manual work.

The enrichment quality depends on how much information you provide. More data points mean better matching. If you only give Kaspr a first name and a common company name, the match rate drops because it can't distinguish between multiple people with similar profiles.

CRM Integrations and API

Kaspr connects to Salesforce, HubSpot, and Pipedrive through native integrations. This means revealed contacts flow directly into your CRM without manual exports.

The sync happens automatically after you reveal a contact. Kaspr creates a new lead or contact record in your CRM and populates the phone and email fields. If the person already exists in your CRM, it updates the record with new information.

The data enrichment API is available on Business and Organization plans. You need technical resources to use it because it requires custom development work. Most small teams stick with the native integrations or use Zapier to connect Kaspr to other tools in their stack.

Here's what the integrations don't do. They don't sync firmographic data, technographic details, or intent signals because Kaspr doesn't collect that information. You get contact details only. If you need company revenue, employee count, or technology usage, you'll need a different tool.

Who uses Kaspr?

Kaspr targets individual sellers and small teams, not enterprise sales organizations. The product design and pricing reflect this focus.

SDRs use Kaspr when they're prospecting on LinkedIn and need phone numbers for cold calling. Instead of searching for contacts across multiple databases, they reveal numbers directly from the profiles they're already viewing. This cuts down on tool switching and keeps the workflow inside LinkedIn. For SDRs already living in LinkedIn Sales Navigator, Kaspr removes one tool-switching step: contact data surfaces inside the workflow they are already in, rather than requiring a separate platform login.

Recruiters use it to improve their candidate search and source contact information. LinkedIn shows you who matches a job description, but it doesn't give you their personal email or mobile number. Kaspr fills that gap. Recruiters reveal contacts, reach out directly, and move candidates into their ATS.

Founders and small business owners use Kaspr when they're building their first prospect lists. They don't have budget for enterprise sales intelligence platforms, and they're doing prospecting themselves. The free plan lets them test the tool, and the Starter plan costs less than most alternatives.

Freelancers and consultants use it for one-off contact lookups. They're not running high-volume outbound campaigns. They need to reach a handful of specific people for business development, and Kaspr gives them a pay-as-you-go option.

The common thread is LinkedIn-centric prospecting. If your workflow lives in LinkedIn and you need contact details without enterprise features, Kaspr fits. If you're running multi-channel campaigns, need intent data, or want to prioritize accounts based on buying signals, you'll hit limitations fast.

Kaspr pricing in 2025

Kaspr charges per user per month and limits how many contacts you can reveal based on your plan. The credit system works like this: revealing a phone number costs one credit, revealing an email costs one credit. If you reveal both for the same person, that's two credits.

The Free plan gives you enough credits to test the tool but not enough for regular prospecting. Most active users exhaust free credits in a few days. It's a trial, not a long-term solution.

Starter at $49 per month works for individual reps doing moderate outbound. You get a set number of phone credits and unlimited B2B email reveals. The email limit matters because work emails are easier to find than mobile numbers. Kaspr charges for mobile reveals but includes work emails in most plans.

Business at $79 per month adds API access and higher credit limits. This tier makes sense for small teams that need custom integrations or are revealing more contacts than Starter allows.

Organization pricing is custom and requires talking to sales. You get team management features, dedicated support, and negotiated credit limits based on your volume.

Annual billing discounts the monthly rate, but you pay upfront for the year. If you're not sure Kaspr fits your workflow, start monthly.

The pricing becomes expensive at scale. If you have five SDRs each revealing 200 contacts per month, you're paying $245 to $395 per month depending on the plan. Compare that to platforms offering unlimited contact access, and the per-credit model adds up.

Kaspr pros, cons, and user reviews

Kaspr delivers on LinkedIn contact extraction but comes with clear trade-offs. Here's what works and what doesn't.

What works:

• European data coverage: Kaspr sources data with GDPR compliance, making it stronger in European markets than US-focused competitors.

• Simple workflow: Install the extension, click a button, get contacts. No training required.

• Low entry cost: The free plan and $49 Starter tier make it accessible for individual users testing prospecting tools.

• LinkedIn integration: Works inside Sales Navigator and Recruiter Lite without forcing you into a separate platform.

• Strong user ratings: Kaspr holds a 4.4/5 rating on G2 with 750+ reviews, with users consistently citing the Chrome extension UX and European data coverage as standout strengths.

What doesn't work:

• US mobile accuracy: Phone number coverage is weaker in North America compared to Europe. You'll find work emails more reliably than mobile numbers.

• Credit limits: High-volume prospecting burns through credits fast, making the tool expensive at scale.

• LinkedIn-only sourcing: You can't verify contacts against other databases or access profiles outside LinkedIn's network.

• No intent data: Kaspr doesn't tell you which accounts are actively researching solutions or showing buying signals.

• Missing enterprise features: No org charts, no technographics, no account hierarchies. You get contact details and nothing else.

• Scale constraints: Teams running high-volume outbound programs or needing global coverage beyond Europe will find the credit model and LinkedIn-only sourcing become constraints faster than expected.

The tool works for lightweight prospecting where you're targeting specific people on LinkedIn and need their contact information quickly. It falls short when you need comprehensive sales intelligence, want to prioritize accounts based on intent, or require accurate US mobile numbers for cold calling.

The credit system creates friction: you are constantly monitoring how many credits you have left and rationing reveals based on your monthly limit. Platforms with unlimited contact access remove that friction and let you prospect without worrying about overage charges.

Kaspr vs. alternatives: how it compares

When evaluating Kaspr against other contact data tools, the key question is whether you need LinkedIn-native enrichment only, or a broader prospecting and intelligence platform. Here is how Kaspr compares against the most common alternatives.

Apollo vs. Kaspr

Apollo is the most common alternative buyers compare against Kaspr. Where Kaspr focuses on LinkedIn contact extraction, Apollo is a full sales engagement platform with built-in email sequences, a dialer, intent data, and a contact database that does not require LinkedIn browsing. Teams that need outreach sequencing alongside contact data will find Apollo covers more of the workflow, though at a higher price point and with less depth on European mobile data.

Cognism vs. Kaspr

Cognism is Kaspr's parent company and its enterprise-tier counterpart. Cognism targets larger teams with verified mobile data, DNC list compliance across 15 countries, and deeper CRM integrations. The trade-off is price: Cognism is positioned as a scaling tool for teams that have outgrown Kaspr's credit model.

Lusha vs. Kaspr

Lusha is a direct Kaspr competitor in the LinkedIn enrichment space, with similar Chrome extension mechanics and a credit-based pricing model. Lusha's database skews toward North American contacts, making it a stronger choice for US-focused teams while Kaspr holds the European data advantage.

Waalaxy vs. Kaspr

Waalaxy combines LinkedIn outreach automation with contact enrichment, targeting teams that want to run LinkedIn sequences alongside contact lookup, a broader workflow than Kaspr's pure enrichment focus.

For a deeper comparison of Kaspr competitors including ZoomInfo, see the full Kaspr alternatives guide.

When Kaspr isn't enough: what enterprise teams need

Teams outgrowing Kaspr need platforms built for scale and complexity. The shift happens when LinkedIn-only sourcing becomes a bottleneck, credit limits slow down prospecting, or you need data beyond contact details.

Here's what enterprise teams require that Kaspr doesn't provide:

• Global coverage: Accurate contact data across North America, EMEA, and APAC, not just Europe.

• Intent signals: Visibility into which accounts are researching solutions in your category right now.

• Technographic data: Understanding what technologies prospects use so you can personalize outreach and qualify fit.

• Firmographic depth: Company attributes like revenue, employee count, growth rate, and funding history.

• Org charts: Mapping reporting structures and buying committees so you know who influences decisions.

• Workflow automation: Built-in sequences, coordinated outreach across email and phone, and AI tools that do more than sync to your CRM.

ZoomInfo fills these gaps as an all-in-one AI GTM Platform.

How ZoomInfo goes beyond contact extraction

ZoomInfo fills these gaps as an all-in-one AI GTM Platform. ZoomInfo is an all-in-one AI GTM Platform that combines the industry's most comprehensive B2B data, the GTM Context Graph intelligence layer, and universal access across any tool or workflow.

The data foundation alone separates ZoomInfo from LinkedIn extraction tools. ZoomInfo processes over 1.5 billion data points daily across 500 million contacts and 100 million companies, with 200 million+ verified business emails and 135 million+ verified phone numbers continuously refreshed through multi-source verification. That scale matters because contact information alone rarely tells the full story: modern sales teams need context about the companies they target and signals indicating when those companies may actually be ready to buy.

The GTM Context Graph is ZoomInfo's intelligence layer, and it does something fundamentally different from a contact database. It fuses ZoomInfo's B2B data with a company's internal CRM records, conversation intelligence, and behavioral signals into a unified reasoning layer. Most CRMs track what happened in a deal: stage changes, close dates, opportunity values. The GTM Context Graph captures the signals behind those changes. It can connect a spike in buyer intent research with new stakeholders appearing in a deal, recent hiring activity, or changes discussed during sales calls. This creates a richer view of why opportunities progress or stall, which helps AI tools recommend who to contact, when to engage, and what messaging might resonate.

Teams that want to wire that same verified context and signal data into their own AI tools can do so through ZoomInfo MCP or API, without requiring a new interface. For companies building custom agents or developer integrations, the same intelligence is accessible via enterprise APIs and ZoomInfo MCP server, which allows developers and AI tools to access ZoomInfo's data programmatically.

ZoomInfo surfaces this intelligence in several ways depending on how teams work. Sellers typically use GTM Workspace, a seller execution environment where AI agents identify high-intent accounts, map buying committees, and generate outreach grounded in the GTM Context Graph's account intelligence. Marketing and RevOps teams use GTM Studio to design audiences, enrich CRM data, and automate go-to-market plays across channels.

Teams using GTM Workspace have seen measurable results. Seismic's sales team saved 11.5 hours per week per rep and generated 39% of pipeline from ZoomInfo signals, a shift from spray-and-pray prospecting to intent-driven outreach.

This architecture makes ZoomInfo fundamentally different from LinkedIn extraction tools like Kaspr. Rather than pulling contact details from a single website, ZoomInfo aggregates data from multiple sources, verifies it continuously, and connects it to broader company and market intelligence. Universal access means the same data and intelligence layer is available whether your team works in GTM Workspace, GTM Studio, or pipes it directly into existing systems via APIs and MCP.

The shift from tools like Kaspr to platforms like ZoomInfo usually happens when prospecting moves from individual activity to a team-level pipeline strategy. At that point, contact discovery alone is no longer enough. Teams need accurate data, real-time signals, and workflow automation working together to identify and convert the right opportunities.

If your GTM motion needs more than LinkedIn contact extraction, request a demo to see how ZoomInfo's data and intelligence platform works.

Frequently asked questions about Kaspr

Does Kaspr work outside of LinkedIn?

No. Kaspr only extracts contact data from LinkedIn profiles, Sales Navigator, and Recruiter Lite. You cannot use it to find contacts from company websites, directories, or other sources. This LinkedIn-only sourcing is the primary limitation for teams that need multi-channel prospecting data.

Can I use Kaspr for free long-term?

The free plan gives you limited credits each month, which most active prospectors exhaust quickly. It works for testing the tool but not for ongoing prospecting at any meaningful volume. Teams doing more than a handful of lookups per week will need a paid plan.

How accurate are Kaspr phone numbers in the United States?

Kaspr's phone number accuracy is stronger in Europe than North America. You will find more reliable mobile numbers for European contacts than US contacts because of how the platform sources data. US-focused teams doing high-volume cold calling should evaluate whether the European data advantage justifies the tool for their specific territory.

Does Kaspr include buyer intent data?

No. Kaspr provides contact information only. It does not track which accounts are researching solutions, visiting your website, or showing other buying signals. Teams that need intent data to prioritize which accounts to contact first will need a platform like ZoomInfo that combines contact data with real-time buying signals. GTM Workspace surfaces those signals directly in the seller workflow.

Can I export Kaspr contacts to my CRM automatically?

Yes, if you are using Salesforce, HubSpot, or Pipedrive. Kaspr has native integrations that sync revealed contacts directly to your CRM. Other CRMs require using Zapier or manual CSV exports.

Is Kaspr worth it for SDRs?

Kaspr is worth it for SDRs who prospect primarily on LinkedIn and need European contact data quickly. The Chrome extension removes tool-switching friction and the unlimited B2B email reveals on paid plans are generous. The limitations are real: US mobile accuracy is weaker than European, the credit model gets expensive at high volume, and there is no intent data to help prioritize which accounts to contact first. For individual reps doing targeted LinkedIn prospecting in European markets, Kaspr delivers on its core promise. For teams running high-volume outbound or needing global coverage, the credit model and LinkedIn-only sourcing become constraints. See Kaspr alternatives if you're evaluating whether to stay or move to a broader platform.

What is the difference between Apollo and Kaspr?

Apollo and Kaspr are fundamentally different tools. Kaspr is a LinkedIn-native contact enrichment tool: you browse LinkedIn, click the extension, and get phone numbers and emails. Apollo is a full sales engagement platform with its own contact database, built-in email sequencing, a dialer, and intent data, you do not need LinkedIn to use it. The key trade-off: Kaspr is simpler and cheaper for targeted LinkedIn prospecting, especially in European markets. Apollo covers more of the outreach workflow but at a higher price point and with less depth on European mobile data. For a broader comparison including ZoomInfo, see the full Kaspr alternatives guide.