Apollo vs Hunter (2026): Database Size, Find Rates, and Outreach Compared

If you’re comparing Apollo vs Hunter, here’s the short answer: Apollo works better as an all-in-one prospecting and outreach platform, while Hunter is the sharper tool when you already know who you want to email and just need to find (and verify) their address. Neither one is “better” across the board. The right choice depends on whether you’re starting from a target list of companies or building one from scratch.

Apollo leans into scale. It’s a searchable database you can filter by job title, industry, or company size, paired with sequences and a dialer so you can reach out without leaving the platform. Hunter leans into precision. It’s built around domain search and email verification, so you tell it a company, and it tells you who works there and how confident it is in each address.

Here’s a quick snapshot before we go deeper:

Apollo vs Hunter: the quick verdict

Apollo is a full outbound platform with a 275M+ contact database, email sequences, a dialer, and CRM integrations. Hunter is an email outreach platform built around finding, verifying, and connecting with professional contacts, focusing primarily on email finding, verification, and cold email sequences. If you already know which companies to target and want clean emails fast, Hunter is the simpler pick. If you want to search by filters, get phone numbers, and run sequences from the same tool, Apollo covers more ground.

However, both platforms rely on a single proprietary database. When Apollo doesn’t have a contact, the lookup returns nothing. There is no failover to a second or third source. Hunter’s database is built from web crawling and public sources, and when that single source doesn’t have a contact, there is no fallback. That matters because a waterfall approach (querying multiple data providers in sequence) typically produces higher find rates than either tool alone.

What Apollo and Hunter are built for

Apollo in one paragraph

Apollo is a B2B sales platform that combines a contact database (275 million contacts), a sequence engine for cold email and LinkedIn outreach, a built-in dialer, and basic AI-powered personalization. You search by job title, company size, industry, funding stage, and dozens of other filters, then push those contacts into outreach from the same interface. Paid plans start at $49/user/month on annual billing.

Hunter in one paragraph

Hunter has 150 million professional email addresses sourced from 650 million public web pages. Its three core tools are Domain Search (find all emails at a company), Email Finder (look up a specific person), and Email Verifier (check deliverability before sending). Paid plans start at $34/month on annual billing, and every plan includes unlimited users. Hunter also has a basic email campaigns feature, but it’s limited to email-only outreach.

Head-to-head comparison

Data coverage and accuracy

This is where the two tools diverge the most. Apollo’s database of 275M+ claimed contacts is one of the largest in B2B sales intelligence. You can search and filter before knowing the company name, which makes it useful for building lists from scratch.

Hunter’s data is sourced differently. It crawls 30 million web pages every day and indexes only the public web. That approach tends to produce high-quality results for contacts who are publicly visible, but it can’t surface contacts who don’t appear anywhere online.

On accuracy, the picture is mixed. High-confidence Hunter addresses (90%+ confidence score) verify at over 95% accuracy. For Apollo, applying the “Verified Emails” filter drops the database from 275M+ contacts to 96M, and user-reported email accuracy runs at 65–70%. Both tools perform better in US and UK markets than in Europe or APAC.

Phone numbers

Apollo includes phone numbers (mobile and direct dials) as part of its database. Hunter does not offer phone data on any plan. Hunter is email-only, with no phone numbers on any tier.

If cold calling is part of your workflow, this alone might be a deciding factor. Though keep in mind that Apollo’s phone data is still limited by its single-source database, so connect rates vary.

Verification

Both tools verify emails, but they handle it differently.

Hunter treats verification as a separate action with its own credit cost. Finding an email costs one credit and verifying it costs half a credit. So a find-and-verify workflow costs 1.5 credits per contact. That gives you explicit control over what you verify.

Apollo bundles basic verification into its lookup process. You’ll see a verification status on each contact, though the depth of that check is less transparent than Hunter’s confidence-score system.

Neither tool uses waterfall verification (checking across multiple providers). If you’re sending at volume, that gap can increase your bounce rate. A tool like lemlist’s Email Finder & Verifier queries 14+ providers in sequence, which typically produces higher find rates and cleaner lists.

Outreach features

Apollo has a full multichannel sequence builder covering email, calls, LinkedIn tasks, reminders, and conditional logic, with CRM sync and lead scoring built in. For a team that wants prospecting and outreach in one place, Apollo removes the need for a separate sequencing tool.

Hunter has a lightweight Campaigns feature covering email-only sequences with basic personalization. It works for simple follow-up sequences, but it won’t support calls, LinkedIn steps, or advanced branching logic.

Worth noting: neither tool supports WhatsApp or SMS natively. If those channels matter (and reply rates suggest they often do), you’ll still want a dedicated multichannel platform.

Chrome extensions

Both tools offer Chrome extensions, and the use cases overlap but aren’t identical.

Hunter’s Chrome extension makes it easy to find and check emails directly from websites. Enter any website and it surfaces the associated email addresses and patterns. Apollo’s extension works with LinkedIn and company websites, showing contact details in real time.

If you spend most of your prospecting time on LinkedIn, Apollo’s extension is more useful. If you’re doing domain-based research across company websites, Hunter’s is more natural.

Pricing and credits

Apollo and Hunter price differently, and the math changes depending on team size.

Hunter’s absence of per-user pricing is a genuine advantage. A 5-person team on the Growth plan pays $149/month total, compared to $245–395/month for the same team on Apollo.

Here’s the side-by-side:

Apollo runs on a credit system, and how fast you burn credits determines what the platform really costs your team. On Hunter, fully processing one contact costs 1.5 credits (find + verify), so the effective contact volume is lower than the headline credit number.

When to choose Apollo

Apollo fits best when you want one platform to handle prospecting and outreach together. Specifically:

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  You’re building lists from scratch. Apollo’s 65+ filters let you search by title, industry, tech stack, funding stage, and more, without knowing company names upfront.

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  You want phone numbers. Apollo is one of few tools at this price point that includes mobile and direct-dial numbers.

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  You want sequences beyond email. Apollo supports email, calls, and LinkedIn tasks in one workflow.

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  You’re a solo user or small team. The free plan offers 900 credits per seat per year. It’s enough to test the database, though not enough to run outbound.

When to choose Hunter

Hunter works well when your prospecting motion is account-based and email-focused. Specifically:

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  You already know your target companies. Hunter’s Domain Search is excellent at surfacing every indexed email at a given company, plus the email pattern for addresses it hasn’t found yet.

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  You prioritize email accuracy over volume. Hunter offers fewer contacts with higher accuracy, making it the stronger choice when reliable data matters more.

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  You have a larger team. With unlimited users on every plan, Hunter’s pricing doesn’t scale per-seat, which saves money on bigger teams.

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  You verify existing lists. If you already have emails from other sources and want to clean them before sending, Hunter’s verifier is straightforward and cost-effective.

Where both fall short

The biggest limitation both tools share is their reliance on a single data source. B2B data decays at 22.5% per year, meaning roughly one in five contacts in any static database becomes outdated within twelve months. When a lookup fails in Apollo or Hunter, there’s no second provider in the background picking up the slack.

That’s the problem waterfall enrichment solves. Instead of depending on one database, a waterfall tool queries multiple data providers in sequence until it finds a verified result. The first provider misses? The second one tries. Then the third. This is how you get higher find rates without sacrificing accuracy.

lemlist’s Email Finder & Verifier uses this exact approach, querying 14+ premium data providers in sequence and double-verifying every result. The outcome is roughly 80% find rates on average, compared to the 40–70% range you’ll typically see from any single source. And because lemlist only charges for verified, usable emails, you’re not burning credits on dead ends.

Beyond enrichment, lemlist also goes further on the outreach side. While Apollo handles email and calls and Hunter handles email only, lemlist runs campaigns across email, LinkedIn, phone, WhatsApp, and SMS from one workflow, with a unified inbox for every reply. If your outbound motion has outgrown a single channel, that difference compounds quickly.

→ Try lemlist (no credit card required)

Pick the right tool for your outbound motion

Here’s the short version:

Choose Apollo if you want a large searchable database with phone numbers and built-in sequences, and you’re willing to accept variable data accuracy at scale.

Choose Hunter if you already know your target domains, care most about email accuracy, and want unlimited team seats on a flat rate.

Choose lemlist if you want the highest email find rate (waterfall across 14+ providers), multichannel outreach across five channels, and a 600M+ contact database in one platform.

The best way to tell which tool fits your workflow is to test with real data. Pull a list of 50–100 contacts you already know and run them through each tool. Compare find rates, accuracy, and bounce rates. That test will tell you more than any comparison article can.

→ Start free with lemlist and see how waterfall enrichment compares.