After testing, buying, and in some cases building against these tools for years, I’d put NinjaPear, Lusha, and ZoomInfo at the top of the shortlist for B2B data providers in 2026, but for very different reasons. If you want competitive intelligence data nobody else really has, NinjaPear is the interesting one. If you want straightforward contact data, the tradeoffs start fast. That is the real problem with most "best B2B data providers" lists, they pretend one winner exists for every workflow.
Ask for samples from each to test for the vertical you sell into. That’s the only sure fire way to really know. That said, some combination is likely the best. The biggest orgs use multiple for a reason, specifically that nobody has it all.
A lot of older readers still land here looking for Proxycurl, so I should say this plainly.
Proxycurl has been sunset. I built Proxycurl, and a lot of the reasoning in the original version of this article came from that experience. I am now working on NinjaPear, which is a different product direction focused much more heavily on competitive intelligence, customer data, company monitoring, and public-web enrichment. I am retaining the original Proxycurl section below because people still search for it, but do read it as legacy context, not as a current recommendation you can newly adopt.
I am not going to pretend all B2B data providers do the same job. They do not. Some are basically contact databases. Some are sales workflow wrappers around a contact database. A few are actually data infrastructure.
What matters now
When I was running FluxoMetric, I burned ~${4}K/mo on tools that gave me worse data than a free Chrome extension. My mistake was assuming breadth meant quality. It usually meant bigger marketing copy.
What actually matters when you compare B2B data providers:
- Freshness: Is the provider working from static monthly dumps, periodic re-verification, or live retrieval?
- Coverage by ICP: A tool that looks great for US SaaS can fall apart in manufacturing, APAC, or mid-market services.
- Context depth: Contact info alone is not enough if your workflow depends on buying signals, competitor moves, org changes, or customer overlap.
- Exportability: If the data only works nicely inside the vendor’s own UI, that is a tax.
- Pricing model: Seat-based pricing and credit-based pricing behave very differently once your team starts doing volume.
That is the lens I’d use on every provider below.
Types of B2B data
The original article had an image here. It broke. Frankly, a table is better anyway.
| Data Type | What It Includes | Where It Helps | Common Failure Mode |
|---|---|---|---|
| Demographic | Name, role, location, seniority | Persona targeting, routing, lead scoring | Wrong person, stale title |
| Firmographic | Industry, company size, revenue, HQ, ownership | ICP filtering, segmentation, TAM building | Modeled revenue, outdated headcount |
| Technographic | Installed tools, stack signals, web technologies | Competitive displacement, dev-tool targeting | False positives from stale crawls |
| Chronographic | Funding, hiring bursts, leadership changes, office openings | Timing outreach, account prioritization | Event lag, missed smaller changes |
| Intent | Research behavior, topic consumption, buyer signals | Prioritization, campaign timing | Black-box scoring with weak explainability |
| Fit | Match against your ICP rules | Qualification, routing | Oversimplified scoring |
| Opportunity | Product launches, expansion moves, M&A, new pages | Account planning, competitive intel | Sparse coverage outside large accounts |
| Behavioral | Site activity, product usage, campaign engagement | Nurture, upsell, lifecycle automation | Usually first-party only |
| Interaction | Calls, emails, meetings, touch history | Rep context, pipeline management | Lives inside CRM silos |
| Attitudinal | Reviews, survey sentiment, customer opinions | Messaging, positioning, product marketing | Hard to normalize at scale |
| Contact Data | Work emails, phone numbers, social handles | Outbound, enrichment, recruiting | Highest decay rate of the lot |
If your team says it needs "data," force the question. What kind? Most buying mistakes happen right there.
Sources of B2B data
Same issue here. The old image is gone, and again, a table says more.
| Source | What You Get | Best Use | Constraint |
|---|---|---|---|
| Public web | Company pages, leadership bios, blog posts, pricing pages, customer logos | Competitive intelligence, enrichment, monitoring | Requires extraction and constant refresh |
| First-party forms | Emails, role info, declared interest | Inbound qualification | Narrow coverage |
| CRM history | Closed-won patterns, reply rates, touch history | Scoring, territory planning | Messy if CRM hygiene is poor |
| Product usage | Activation events, seat growth, feature adoption | PLG sales, expansion | Only useful if you own the product data |
| Third-party providers | Contacts, firmographics, technographics, intent | Prospecting and enrichment | Quality varies wildly by segment |
| Browser extensions | On-page lookup and quick capture | SDR workflow speed | Often thin outside supported pages |
| Surveys/interviews | Qualitative fit and pain points | Market research, messaging | Not scalable for list building |
| Company records | Registries, filings, legal entities | Verification, parent-child mapping | Slow-moving and uneven by country |
| Events/conferences | Attendance, sponsor, exhibitor signals | Partnering and outbound lists | Often expensive and incomplete |
| Web scraping | Structured extraction from sites | Coverage where no API exists | Maintenance and compliance burden |
This is also why no single provider wins everything. They are pulling from different substrates.
Constraints of B2B databases
B2B databases are useful. They are not magic.
The big constraints are still the same:
- Decay is real: Job changes, reorgs, domain changes, and layoffs break records constantly.
- The best data is uneven: One provider can be excellent for direct dials and weak on international coverage. Another can be great on company signals and bad on contacts.
- Pricing gets weird fast: Cheap self-serve plans often turn into expensive workflow bottlenecks once you need API access, bulk export, or more than a few seats.
- Compliance is not a footnote: If a provider’s sourcing model gets challenged, you inherit migration pain even if you are not the one collecting the data.
- Workflow fit matters as much as record quality: I’ve seen teams buy strong data and still fail because the exports, CRM sync, or API ergonomics were miserable.
Gartner has estimated poor data quality costs organizations an average of $15 million per year. I believe that number because I’ve seen how quickly bad routing and bad enrichment compound into pipeline fiction.
Key buying metrics
Here are the five metrics I would judge B2B data providers on before signing anything.
Data freshness
Freshness is not a marketing adjective. It is an operating variable.
If you are pulling job changes, leadership shifts, or pricing-page updates, monthly refreshes are not enough. If you only need company name normalization, cache is fine. The right question is not "is it fresh?" The right question is fresh enough for what.
Data points
I care less about inflated field counts and more about whether the fields matter.
A vendor telling you they have 200+ attributes does not impress me if 40 of those are address fragments and 20 are null half the time. I would rather have 25 fields that actually change decisions.
Integration options
If the data provider cannot fit your stack, it becomes a side quest.
For small teams, CSV export and browser workflows might be enough. For serious ops teams, you want API quality, predictable schemas, and low-friction CRM sync.
Legal compliance
I learned this one the hard way over the years. If the sourcing model is shaky, your integration has a shelf life whether you like it or not.
At minimum, I want plain language on sourcing, privacy posture, and what the provider does not do.
Pricing
Credit pricing is not better than seat pricing. Seat pricing is not better than credit pricing. It depends on usage shape.
If your reps prospect manually all day, seat pricing can make sense. If you are enriching records programmatically or monitoring accounts in bursts, usage-based pricing can be much cleaner.
17 best B2B data providers
Before the long breakdown, here is the quick comparison. I wish more articles did this plainly instead of hiding the useful bit 3,000 words down.
| Provider | Best For | Data Quality | Pricing | Ease of Use | API | Avg. Score |
|---|---|---|---|---|---|---|
| NinjaPear | Competitive intelligence + enrichment | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐☆ | 4.00/5 |
| Lusha | Fast contact lookup | ⭐⭐⭐⭐☆ | ⭐⭐⭐☆☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐☆☆ | 3.50/5 |
| Sales Navigator | Native prospecting workflow | ⭐⭐⭐⭐☆ | ⭐⭐☆☆☆ | ⭐⭐⭐⭐☆ | ⭐⭐☆☆☆ | 3.00/5 |
| Datanyze | Technographics on a budget | ⭐⭐⭐☆☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐☆ | ⭐⭐☆☆☆ | 3.25/5 |
| People Data Labs | Large structured datasets | ⭐⭐⭐☆☆ | ⭐⭐⭐☆☆ | ⭐⭐⭐☆☆ | ⭐⭐⭐⭐☆ | 3.25/5 |
| Lead411 | SMB outbound teams | ⭐⭐⭐⭐☆ | ⭐⭐⭐☆☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐☆☆ | 3.50/5 |
| RocketReach | Email lookup workflows | ⭐⭐⭐☆☆ | ⭐⭐⭐☆☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐☆☆ | 3.25/5 |
| LeadIQ | SDR workflow + capture | ⭐⭐⭐☆☆ | ⭐⭐⭐☆☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐☆☆ | 3.25/5 |
| Clearbit | HubSpot-centric enrichment | ⭐⭐⭐☆☆ | ⭐⭐☆☆☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐☆☆ | 3.00/5 |
| SalesIntel | Verified direct dials | ⭐⭐⭐⭐☆ | ⭐⭐⭐☆☆ | ⭐⭐⭐☆☆ | ⭐⭐⭐☆☆ | 3.25/5 |
| UpLead | Small-team prospecting | ⭐⭐⭐⭐☆ | ⭐⭐⭐☆☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐☆☆ | 3.50/5 |
| Owler | Company tracking | ⭐⭐⭐☆☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐☆ | ⭐⭐☆☆☆ | 3.25/5 |
| Apollo.io | Cheap volume for outbound | ⭐⭐⭐☆☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐☆☆ | ⭐⭐⭐⭐☆ | 3.50/5 |
| Coresignal | Bulk datasets | ⭐⭐⭐☆☆ | ⭐⭐⭐☆☆ | ⭐⭐⭐☆☆ | ⭐⭐⭐⭐☆ | 3.25/5 |
| ZoomInfo | Enterprise contact data | ⭐⭐⭐⭐☆ | ⭐⭐☆☆☆ | ⭐⭐⭐☆☆ | ⭐⭐⭐⭐☆ | 3.25/5 |
| Data Axle | Segmentation-heavy use cases | ⭐⭐⭐⭐☆ | ⭐⭐☆☆☆ | ⭐⭐⭐☆☆ | ⭐⭐⭐☆☆ | 3.00/5 |
| Hunter.io | Email discovery | ⭐⭐⭐☆☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐☆☆ | 3.50/5 |
1. NinjaPear, best new alternative
This is the one I would add if I were updating this list for 2026, because I literally had to. Proxycurl is no more, and the founder behind Proxycurl is now building NinjaPear.
NinjaPear is not trying to be yet another giant contact database with slightly different branding. The product direction is different. It focuses on competitive intelligence, customer listing data, company monitoring, competitor mapping, company profiles, employee profiles, and work email enrichment from public web sources.
That matters because a lot of teams do not just need "a contact." They need context. Who does this vendor sell to? Who are its competitors? What changed on the company website this week? What new pricing page appeared yesterday? That is the kind of live-market picture most old-school B2B data providers do a bad job of giving you.
- Data Freshness: NinjaPear mixes live retrieval with usage-based endpoints. The Monitor API tracks blogs, website changes, and X posts for any company and turns them into an RSS feed.
- Data Points: Customer listing, competitors, person profiles, company profiles, work emails, employee count, and company updates.
- Integrations: API-first, JSON in and JSON out, plus NinjaPear for Claude and Prospector for spreadsheet-style workflows.
- Legal Compliance: Built around public-web sourcing, not gated social-network scraping.
NinjaPear Pricing
| Plans | Details |
|---|---|
| Free | 3-day free trial, 10 credits included, no credit card required ✅ |
| Paid model | Usage-based credits |
| Subscription note | Monthly and annual plans are available, with lower credit rates for predictable usage |
NinjaPear Pros and Cons
Pros:
- Different category of value from the usual contact-database crowd.
- Customer API and Competitor API are genuinely useful for market mapping.
- Company monitoring across blog, X, and website changes is unusually practical.
- Free tools like Company Logo API are actually nice touches.
Cons:
- If all you want is a giant static CSV of contacts, this is not the most obvious fit.
- Usage-based credits require a bit more thought than simple seat pricing.
TLDR Verdict
If your definition of B2B data includes competitive intelligence and company-change signals, not just names plus emails, NinjaPear deserves to be on the shortlist.
Interesting results - this matches what I’ve seen running similar tests. Coverage is super uneven and provider “A” vs “B” often flips depending on segment and region, especially in mid‑market. In my case, Apollo + Lusha together beat ZoomInfo/Cognism on raw email coverage for SaaS in NA/EU, but ZoomInfo was stronger on org charts and phone...
2. Proxycurl, legacy pick now sunset
A developer-focused B2B data provider, with a huge portfolio of API endpoints, Proxycurl enriched the data of people and companies with a variety of up-to-date data points.
Depending on your use cases, Proxycurl's APIs could be integrated into existing applications and workflows. With a database of over 500M people and company profiles, it used to be one of the stronger developer-first options in the category.
- Important update: Proxycurl API has been sunset. I am retaining this section because the original article ranked it first and many readers still search for it by name. But you cannot read this section as an up-to-date buying recommendation. The founder behind Proxycurl is now building NinjaPear.
- Data Freshness: Proxycurl provided flexibility in choosing data freshness.
- Data Points: Proxycurl offered various datapoints of individuals or companies, including phone numbers, personal and work emails, funding data, industry data, social media profiles, and past/current employment details.
- Integrations: API-first, JSON responses, and easy integration into existing workflows.
- Legal Compliance: Followed GDPR and CCPA regulations.
Proxycurl Pricing
Legacy reference only. No longer relevant for new buyers.
Pros:
- Fresh profile data at the time.
- Good flexibility in data freshness.
- Strong developer ergonomics.
Cons:
- Sunset product.
TLDR Verdict
Useful historical context. Not a live buying option in 2026. Look at NinjaPear instead if you were originally here for Proxycurl.
3. Lusha, still a strong contact-data pick
Lusha sells access to its B2B database where businesses can find verified contact details. You can locate potential business partners and establish communication with them. It also plays nicely with a number of CRM and advertising systems.
Through the contact and business lookup functions, you can access up to one thousand contacts and businesses with a single inquiry. It works as both a Chrome extension and through an API.
- Data Freshness: Lusha updates their databases in real-time.
- Data Points: Contact info and business data points like annual revenue, business type, employee count, and location.
- Integrations: Lusha integrates with 1200+ apps.
- Legal Compliance: Lusha is CCPA and GDPR compliant.
Lusha Pricing
| Plans | Details |
|---|---|
| Free | Free plan available ✅ |
| Basic Paid | $49/person/mo |
| High-end paid | Customizable usage and price |
Pros:
- Reasonable pricing for the quality of data it provides.
- Interactive dashboard.
- Chrome extension is convenient.
Cons:
- Instances of wrong information being served.
- Value depends a lot on your region and ICP.
TLDR Verdict
Still one of the better mid-market picks if you want a fast contact-data workflow without going full enterprise.
4. Sales Navigator
Sales Navigator is still one of the most practical prospecting tools if your workflow starts inside LinkedIn and stays there. You get strong search filters, account tracking, lead tracking, and native workflow familiarity.
The problem is the same as it has always been. Access is easier than the official API route, but the data is still mostly useful inside LinkedIn's own walls unless you layer something else on top.
- Data Freshness: Straight from the source, so updates are timely.
- Data Points: Strong lead and account search context.
- Integrations: Limited compared with open API-first providers.
- Legal Compliance: Native platform data source.
Sales Navigator Pricing
| Plans | Sales Navigator |
|---|---|
| Free | No free version ❌ |
| Basic Paid | Core, $99/mo |
| High-end Paid | Advanced Plus, pricing varies by team setup |
TLDR Verdict
Excellent workflow product. Less excellent if you need open, portable, workflow-friendly data outside the platform.
5. Datanyze
Datanyze enriches prospect profiles while you're browsing and leans heavily into technographics.
It uses web crawlers to identify a company's technology stack and usage, which helps you identify potential customers. That part is still useful. If you sell dev tools, martech, or infra, technographic slices can be the difference between a relevant list and a useless one.
- Data Freshness: Refreshed frequently.
- Data Points: Company information, contact information, and technographic data.
- Integrations: CRM and sales-tool integrations.
- Legal Compliance: GDPR and CCPA compliant.
Datanyze Pricing
| Plans | Details |
|---|---|
| Free | 90-day free trial ✅ |
| Basic paid | $29/mo |
| High-end paid | $55/mo |
TLDR Verdict
Still a reasonable low-volume choice if your actual buying trigger is tech-stack intelligence.
6. People Data Labs
People Data Labs packages public and partner-sourced data into datasets customers can call using APIs.
One thing to note, People Data Labs isn't as pleasant for fast-moving SMB users as simpler tools are, but the data model is broad. They offer a very large number of fields, sometimes by splitting a single concept into many granular attributes.
- Data Freshness: Datasets are updated monthly by default.
- Data Points: 200+ data points per profile, though that count is inflated by granularity.
- Integrations: Integrates with many automation tools and CRMs.
- Legal Compliance: GDPR, CCPA, SOC 2, and ISO 27001.
People Data Labs Pricing
| Plans | Details |
|---|---|
| Free | Up to 100 records |
| Basic Paid | $98/mo |
| High-end Paid | Custom pricing |
TLDR Verdict
Best if you care about broad schema coverage and API-first consumption more than point-and-click simplicity.
7. Lead411
Lead411 is a web-based lead generation tool that helps people discover contact details for decision-makers at major corporations around the world.
What sets Lead411 apart is its verified email angle. You don't just get enriched company data, but also reliable communication channels to reach decision-makers.
- Data Freshness: Updated frequently, though not very specifically documented.
- Data points: Database of 450 million global contacts.
- Integrations: Supports 20+ CRM integrations.
- Legal Compliance: GDPR and CCPA compliant.
Lead411 Pricing
| Plans | Details |
|---|---|
| Free | 7-day free trial ✅ |
| Basic paid | $99/mo |
| High-end paid | Custom usage and pricing |
TLDR Verdict
A good SMB outbound tool if verified emails matter more than exotic data types.
8. RocketReach
RocketReach is a lead intelligence platform for researching names, job positions, and email addresses.
It has features like Chrome extension, advanced search, and bulk lookup. It is widely used for cold email outreach, targeted campaigns, lead nurturing, and recruiting efforts.
- Data Freshness: Updates daily.
- Data Points: 20+ exportable data points.
- Integrations: Supports CRM and automation integrations.
- Legal Compliance: CCPA compliant, GDPR stance less clearly marketed.
RocketReach Pricing
| Plans | Details |
|---|---|
| Free | Trial available |
| Basic Paid | $70/mo |
| High-end Paid | $300/mo |
TLDR Verdict
Good for email-led workflows. Less compelling if phone data is your main need.
9. LeadIQ
LeadIQ is a platform that increases the efficiency of sales teams by capturing and sequencing contact information with a single click.
The platform combines prospect data, sales triggers tracking, and personalized cold outreach. Using LeadIQ's Chrome extension, you can capture prospects to a dedicated list while browsing.
- Data Freshness: Often close to real-time in browser-led workflows.
- Data Points: 20+ data points across individuals and company profiles.
- Integrations: Supports popular CRM integrations.
- Legal Compliance: GDPR and CCPA compliant.
LeadIQ Pricing
| Plans | Details |
|---|---|
| Free | Free version available ✅ |
| Basic Paid | $45/mo |
| High-end Paid | Custom usage and pricing |
TLDR Verdict
Easy to use. Better for SDR workflow convenience than deep data sophistication.
10. Clearbit
Clearbit is now folded into HubSpot's world, but it is still a recognizable B2B data provider for company enrichment and profile building.
Clearbit combines first-party data and third-party sources to enrich company profiles with firmographic and technographic data that automatically updates every 30 days.
- Data Freshness: Records update every 30 days.
- Data Points: 100+ data points.
- Integrations: Now effectively HubSpot-centric.
- Legal Compliance: CCPA-compliant and GDPR aligned.
Clearbit Pricing
No transparent standalone pricing. Contact HubSpot.
TLDR Verdict
Fine if you're already deep in HubSpot. Annoying if you value pricing transparency.
11. SalesIntel
SalesIntel offers contact data, direct dials, and technographic and firmographic information.
The platform claims 95% accuracy in delivering contact data and emphasizes re-verification.
- Data Freshness: Re-verifications every three months.
- Data Points: Firmographic and technographic data plus contact info.
- Integrations: Good CRM and sales-tool coverage.
- Legal Compliance: GDPR and CCPA compliant.
SalesIntel Pricing
| Plans | Details |
|---|---|
| Free | 14-day free trial |
| Basic Paid | $69/mo |
| High-end Paid | Custom usage and pricing |
TLDR Verdict
Worth a look if direct dials are important and you want something more verification-heavy.
12. UpLead
UpLead is a highly rated B2B lead generation platform designed to help streamline lead generation operations by providing reliable contact data.
Instead of giving you raw scraped datasets, they give you a cleaner prospecting list you can plug into your CRM.
- Data Freshness: Monthly updates.
- Data Points: People and company profiles, verified emails, intent data.
- Integrations: Supports major CRMs.
- Legal Compliance: GDPR and CCPA compliant.
UpLead Pricing
| Plans | Details |
|---|---|
| Free | 7-day free trial available ✅ |
| Basic Paid | $99/mo |
| High-end Paid | Customizable usage and pricing |
TLDR Verdict
A tidy option for smaller teams that care about accuracy more than maximum depth.
13. Owler
Owler is one of the larger crowdsourced B2B data providers, pulling insights from its active user community.
Owler is different from the norm, and is an ideal choice for market research and company tracking. If you need to understand not just a company but its position in the market, including competitors, estimated revenue, and leadership details, it is still interesting.
- Data Freshness: Real-time community updates, 500,000+ profile updates per month.
- Data Points: Funding, M&A, press releases, competitor updates, and more.
- Integrations: CRM integrations available.
- Legal Compliance: GDPR and CCPA compliant.
Owler Pricing
| Plans | Details |
|---|---|
| Free | Free plan available ✅ |
| Basic Paid | $39/mo |
| High-end Paid | Custom usage and pricing |
TLDR Verdict
Good for tracking and market context. Not my first choice for direct contact-data-heavy outbound.
14. Apollo.io
Apollo.io has one main purpose: boost sales engagement.
Apollo refreshes your systems with contact databases and adds a lot of workflow and sequencing capability on top. This is why people keep buying it even when they complain about the data.
- Data Freshness: Frequently updated.
- Data Points: Contact information, buying intent, and more.
- Integrations: Strong CRM coverage.
- Legal Compliance: CCPA compliant.
Apollo.io Pricing
| Plans | Details |
|---|---|
| Free | Free plan available ✅ |
| Basic Paid | $59/user/mo |
| High-end Paid | $149/user/mo |
Pros:
- Good automation stack.
- 65+ advanced search filters.
- Usually wins on value for smaller outbound teams.
Cons:
- Data quality can be uneven.
- Limited data outside the US.
- Full automation can make teams lazy if they are not careful.
TLDR Verdict
If your priority is cheap-ish outbound volume, Apollo is hard to ignore.
Apollo is your best bet for data quality and price. I work at an outreach company and we use it for most of our clients because it's way cheaper than ZoomInfo with similar accuracy. ZoomInfo has the best data but costs a fortune and their contracts are brutal...
15. Coresignal
Coresignal houses large datasets of public and private data, which they either scraped themselves or acquired through third-party means. They also have live scraping APIs, but these are more limited in scope.
Coresignal aggregates data from 20 different sources and boasts 731+ million employee data records and 102+ million company data records.
- Data Freshness: Datasets updated monthly, separate live options via APIs.
- Data Points: Missing some important contact data like phone numbers and emails.
- Integrations: Six APIs for integration.
- Legal Compliance: GDPR and CCPA compliant.
Coresignal Pricing
| Plans | Details |
|---|---|
| Free | Free version available |
| Basic Paid | $49/mo |
| High-end Paid | $1,500/mo |
TLDR Verdict
Useful for bulk data workflows. Less compelling if you need complete contact records out of the box.
16. ZoomInfo
ZoomInfo sells access to its database on a subscription basis. It deals with extensive company and contact information and is equipped with advanced search capabilities and integration options.
ZoomInfo boasts datasets of over 321 million individual contacts and 104 million company profiles and remains one of the most well-known B2B lead enrichment platforms.
One thing to note is their data is pretty US-centric, so if you're looking for wider geographical coverage, ZoomInfo might come up short. It doesn't take away from the fact that they provide a variety of solutions and different packages for data enrichment.
- Data Freshness: Updated based on change detection.
- Data points: Company profile, business contacts, intent data, and interaction analysis.
- Integrations: Strong CRM and sales-tool ecosystem.
- Legal Compliance: GDPR, CCPA, and ISO 27001.
ZoomInfo Pricing
Their pricing information is not publicly available, although some sources claim plans start around $14,995/year.
Pros:
- Accurate contact information.
- Strong workflow automation.
- Good org-chart and enterprise-account depth.
Cons:
- Expensive plans.
- Too many packages and add-ons.
- Steep learning curve.
TLDR Verdict
A serious option if you primarily work with North American data and can tolerate enterprise pricing.
17. Data Axle
Data Axle continues to deliver enriched company data, complemented by robust firmographics and advanced segmentation tools.
The data provider's hyper-specific segmentation is a feature that deserves a shout. It allows you to target companies based on criteria like location, revenue, or niche industry.
- Data Freshness: Monthly updates.
- Data Points: 400+ attributes from 100+ sources.
- Integrations: Supports numerous integrations.
- Legal Compliance: GDPR and CCPA compliant.
Data Axle Pricing
| Plans | Details |
|---|---|
| Free | 30-day free trial ✅ |
| Pay-as-you-go | $17.95 per credit report |
| Basic Paid (Monthly) | $195/mo |
| Basic Paid (Annual) | $179/mo |
TLDR Verdict
Great for segmentation-heavy workflows and industries that care a lot about precision.
18. Hunter.io
Hunter.io makes the list 18 in practice after adding NinjaPear while preserving the original article's structure. I am keeping the original framing and not pretending the math magically stayed perfect.
Hunter.io is a tool to find and verify emails to support email campaigns. It is useful for marketers, recruiters, and sales teams looking to connect with key decision-makers and prospects.
Using Hunter, you can extract email addresses associated with a certain domain, build a targeted contact list, automate outreach messages, and scale campaigns.
- Data Freshness: Frequently updated, though not specified very clearly.
- Data Points: Focuses on email-related data points like sender reputation and bounce rates.
- Integrations: Integrates with many popular tools.
- Legal Compliance: GDPR compliant.
Hunter.io Pricing
| Plans | Details |
|---|---|
| Free | Free plan available ✅ |
| Basic Paid | $34/mo |
| High-end Paid | $349/mo |
TLDR Verdict
Great if you're looking for B2B data with additional support for your email campaigns, but very much email-first rather than true broad-spectrum B2B intelligence.
What I would actually choose
This is the part most comparison articles avoid because it forces a real opinion.
If I were choosing today:
- For competitive intelligence: NinjaPear
- For enterprise contact data in North America: ZoomInfo
- For budget-conscious outbound: Apollo.io
- For simple contact lookup: Lusha
- For technographics: Datanyze
- For email-only workflows: Hunter.io
- For structured bulk data via API: People Data Labs or Coresignal
That is the honest answer. Not one winner. A shortlist by use case.
My actual advice
If you are evaluating B2B data providers, do not buy off a grid like this alone. Pull a sample of 100 accounts from your actual ICP and score each vendor on four things:
- Match rate
- Accuracy rate
- Missing-field rate
- Workflow friction
That last one matters more than people admit. A provider can be 10% better on record quality and still lose because your reps hate using it.
Users keep saying the same thing in public, and they are right:
Coverage is super uneven and provider “A” vs “B” often flips depending on segment and region...
That is why I would not ask, "Who is the best B2B data provider?" I would ask, best for what exact motion?
Final call
B2B data is still one of the few unfair advantages in GTM, but only if the data maps to the motion. If you just need fast contact lookup, start with Lusha or Apollo. If you have enterprise budget and care about North American account depth, ZoomInfo is still in the conversation. If you need customer overlap, competitor mapping, company-change monitoring, and public-web enrichment in one place, NinjaPear is the one I would test first.
If you came here because you were specifically looking for Proxycurl, the update is simple: Proxycurl has been sunset, and the path forward is NinjaPear. It is not a 1:1 clone. That is intentional.
Start with the 3-day trial, run 10 real accounts through it, and see if the signal quality changes how your team prioritizes. That is the only test I trust anymore.