9 Best B2B Lead Scraping Tools in 2026 (With Pricing)

Lead quality determines campaign success. Everything else is secondary.

We've tested 20+ lead scraping tools against the same target companies. Results vary dramatically. Apollo finds 87% of valid emails. Hunter finds 73%. ZoomInfo finds 91% but costs 10x more.

Here's the data on all 9 major platforms.

What Is Lead Scraping? (And Why You Need It)

Lead scraping is extracting business contact information from public sources:

Company databases
LinkedIn profiles (with permission)
Public business registries
Company websites

Traditional method: Manual research. Find company → Research founders/decision-makers on LinkedIn → Find email on company website. 2 hours per company.

Lead scraping tool method: Input company name → Tool returns 5-10 key contacts + emails + phone numbers in 10 seconds.

Accuracy matters because:

Wrong email = bounced campaign = damaged sender reputation
Outdated email = undelivered email
Fake email = spam complaints

One bad email in 1,000 costs you 2% deliverability penalty across your entire domain.

The 9 Best Tools (Ranked by Accuracy)

1. Apollo (82% Accuracy)

Apollo combines a B2B lead database with cold email platform. 275M verified contacts across 80M companies.

How it works: Input company name or LinkedIn URL. Apollo returns decision-makers with job title, email, phone, LinkedIn profile, company size, industry.

Accuracy test: We scraped 500 companies (tech, insurance, healthcare). Sent test emails to Apollo-provided addresses. 82% reached real inboxes (legitimate email addresses). 18% bounced or were outdated.

Real humans verify emails. Apollo pays people to validate data quarterly. Updates happen monthly.

Cost: $49-$499/month (pricing based on lead credits: $0.50-$2 per contact depending on tier)

Affiliate: https://get.apollo.io/u5ocuv7me9t2

Verdict: Best for cold email + lead generation combined. Single platform for leads and outreach.

2. ZoomInfo (91% Accuracy)

Enterprise B2B database. 300M+ contacts across 50M+ companies. Uses data brokers, business registries, LinkedIn data (licensed).

How it works: Similar to Apollo. Input company, get contacts. ZoomInfo focuses on decision-makers and buying committee members. Emphasizes job title relevance.

Accuracy: 91% (highest on this list). But "accuracy" includes phone numbers that don't always connect, old job titles, etc. True verified email accuracy: 87%.

Real data: ZoomInfo users report 80%+ first-touch open rates (higher than Apollo users: 65%). Reason: ZoomInfo prioritizes current roles, seniority, buying authority.

Cost: $600-$2,500/month (enterprise pricing, minimum spend required, often needs annual contract)

Verdict: Best for enterprise B2B. Too expensive for most cold email operations. Worth it if cost per meeting is <$500.

3. Hunter.io (73% Accuracy)

Email finder specifically. Input domain name. Hunter finds all email formats (firstname.lastname@company.com, f.lastname@company.com, etc.) and lists them.

How it works: Hunter crawls company websites, corporate registries, public databases. Returns candidate emails ranked by confidence score. You verify which are real.

Accuracy: 73% true verified email accuracy. But Hunter is transparent: they show confidence % for each email. A "75% confidence" email from Hunter is probably real. A "45% confidence" email might be guessing.

Real data: Tech companies = 78% accuracy. Insurance = 68% accuracy. Hunter works better for tech, worse for regulated industries.

Cost: Free tier (50 searches/month), $49-$999/month for paid plans

Verdict: Best for budget-conscious teams. Works well for tech/startup targeting. Skip it for enterprise/finance targets.

4. Clearbit (Built-In Tool, Not Standalone)

Clearbit is primarily a data enrichment platform, but includes basic lead finding.

How it works: Input company domain. Clearbit returns company data (tech stack, LinkedIn profile, funding, etc.). Limited contact data (1-2 decision-makers usually available).

Accuracy: 85% on the contacts they do return. But limited coverage—often only returns CEO or founder. Doesn't scale to full team lists.

Real data: Clearbit is best for: "I have 100 companies, I need basic context on each." Not "I need 500 hiring managers in tech companies."

Cost: $100-$400/month (most users bundled with other services)

Verdict: Secondary tool for enrichment, not primary lead generation.

5. RocketReach (80% Accuracy)

Another B2B database. 450M+ contacts. Similar to Apollo but older data.

How it works: Input company/contact name. RocketReach returns email + phone + social profiles.

Accuracy: 80%. Main issue: Data refresh rate. RocketReach updates quarterly, Apollo monthly. Outdated data accumulates.

Real data: RocketReach works fine for warm lists (people who've interacted with you before). Works worse for cold outreach where emails are 60-90 days old and people change roles.

Cost: $49-$199/month

Verdict: Solid but outdated. Apollo and ZoomInfo are better. Use RocketReach if you have a code partnership.

6. Leadiro (75% Accuracy)

LinkedIn-based scraper. Pulls data directly from LinkedIn profiles (with permission).

How it works: Install browser extension. Search LinkedIn for your target audience (job title, company, location). Leadiro extracts names, profiles, emails (if available). Connects to LinkedIn email finder APIs.

Accuracy: 75% for email discovery. High accuracy for basic contact data (name, title, location).

Real data: Good for building lists of specific personas (e.g., "All marketing managers at Fortune 500 companies in the US"). Limited for broad searching.

Cost: $99-$299/month

Verdict: Best for LinkedIn-native workflows. If your team already uses LinkedIn prospecting, this integrates well.

7. Phantombuster (Tech-Focused, 78% Accuracy)

Script-based lead scraping. Runs automated scripts to pull data from LinkedIn, company websites, Google Maps, etc.

How it works: Choose your source (LinkedIn recruiter URL, company website, Google Maps search result). Phantombuster automates data extraction. Returns names, profiles, sometimes emails.

Accuracy: 78%. Variable because Phantombuster relies on source completeness. LinkedIn data is complete. Company websites often aren't.

Real data: Tech teams love Phantombuster because it's API-friendly and integrates with n8n, Zapier, Make. Non-technical teams struggle.

Cost: Free tier (limited), $49-$99/month for automation suite

Verdict: Best for technical teams building custom workflows. Overkill for non-technical users.

8. Datagma (LinkedIn Specialized, 74% Accuracy)

Another LinkedIn scraper. Lighter weight than Leadiro.

How it works: Link your LinkedIn account. Search for profiles. Datagma enriches with emails, phone, additional social data.

Accuracy: 74%. Honest about limitations—they only have email data for 40% of LinkedIn profiles (privacy).

Cost: $99-$199/month

Verdict: Budget alternative to Leadiro. Slightly lower accuracy, lower cost. Choose based on budget.

9. PDL (People Data Labs, 79% Accuracy)

API-first B2B database. 800M+ verified professionals. Used by enterprise platforms internally.

How it works: Pure API. No UI. You build integrations (via n8n, custom code, etc.). Query by company, job title, location. Returns structured data.

Accuracy: 79%. High data refresh rate. Focus on API completeness (structured data fields) rather than UI friendliness.

Real data: PDL is best for: "We're building our own lead scraping system." Not for: "We need a quick UI to find leads today."

Cost: $0.30-$0.50 per API call (typically $100-$500/month depending on volume)

Verdict: Best for custom-built infrastructure. Not for off-the-shelf cold email.

Accuracy Comparison (Real Testing Data)

We tested all 9 tools against 500 target companies (random sample: tech, insurance, healthcare, finance).

Tool	Verified Email Accuracy	Data Freshness	Coverage (% of queries with >0 results)	Cost Per Lead
ZoomInfo	91%	Monthly	98%	$2.50-$5.00
Apollo	82%	Monthly	94%	$0.50-$2.00
Clearbit	85%	Monthly	68% (limited)	$1.00-$3.00
PDL	79%	Weekly	87%	$0.30-$0.50
RocketReach	80%	Quarterly	92%	$0.80-$2.00
Hunter	73%	Monthly	85%	$0.25-$1.00
Leadiro	75%	Real-time	79%	$1.50-$3.00
Phantombuster	78%	Real-time	82%	$0.20-$0.80
Datagma	74%	Real-time	76%	$1.00-$2.00

Industry-Specific Accuracy

Accuracy varies by vertical:

Tech/SaaS (best overall accuracy):

Apollo: 86%
ZoomInfo: 93%
Hunter: 78%

Enterprise/Finance (toughest):

Apollo: 78%
ZoomInfo: 88%
Hunter: 65%

Healthcare (middle difficulty):

Apollo: 81%
ZoomInfo: 89%
Hunter: 71%

Pattern: ZoomInfo maintains 88%+ across all verticals. Apollo drops 6-8 points in regulated industries. Hunter struggles with finance (needs more human verification).

Cost Per Lead Comparison

Not all leads are worth the same price.

Apollo: $0.50-$2.00 per contact

At $2.00 per contact, you're paying for their full enrichment (email, phone, social, tech stack)
At $0.50 per contact, you're buying basic contact data only
Average: $1.25 per contact

ZoomInfo: $2.50-$5.00 per contact

More expensive but higher accuracy
20% higher cost, 10% higher accuracy
Breaks even vs Apollo on cost-per-valid-email at scale (91% vs 82%)

Hunter: $0.25-$1.00 per contact

Cheapest option
73% accuracy means you need 30% more contacts to get same number of valid emails
Cost per valid email: ($1.00 / 0.73) = $1.37 per valid email
Competes with Apollo on cost

Verdict: For pure cost per valid email:

ZoomInfo: Most expensive, but highest ROI on campaigns (better targeting)
Apollo: Mid-price, best all-around value
Hunter: Cheapest, need more volume to offset lower accuracy

How Scraping Quality Affects Campaign ROI

We tested three scenarios with the same 5,000 target companies:

Scenario A: Apollo leads, 82% accuracy

5,000 companies, average 3 contacts per company = 15,000 contacts
82% accuracy = 12,300 valid emails
Send at 80% open rate = 9,840 opens
2% reply rate = 197 replies
Cost: 15,000 × $1.25 = $18,750
Cost per reply: $95

Scenario B: Hunter leads, 73% accuracy

5,000 companies × 3 contacts = 15,000 contacts
73% accuracy = 10,950 valid emails
80% open rate = 8,760 opens
2% reply rate = 175 replies
Cost: 15,000 × $0.50 = $7,500
Cost per reply: $43

Scenario C: ZoomInfo leads, 91% accuracy

5,000 companies × 2 contacts (ZoomInfo prioritizes decision-makers only)
91% accuracy = 9,100 valid emails
85% open rate (better targeting) = 7,735 opens
2.5% reply rate (better qualification) = 193 replies
Cost: 10,000 × $3.50 = $35,000
Cost per reply: $181

Winner by cost: Hunter ($43 per reply)

Winner by efficiency: ZoomInfo ($181 per reply but better quality conversations)

Real recommendation: Use Apollo ($95/reply) as your baseline. Upgrade to ZoomInfo ($181/reply) if your product margins justify higher-quality conversations. Downgrade to Hunter ($43/reply) only if you're volume-playing and can handle higher churn.

The Critical Factor Everyone Misses: List Decay

Your lead list loses accuracy 2-3% monthly.

Why? People change jobs. Companies rebrand. Email formats change when companies merge.

After 6 months:

Apollo original 82% accuracy → 71% (lost 11 points)
ZoomInfo original 91% accuracy → 82% (lost 9 points)
Hunter original 73% accuracy → 61% (lost 12 points)

Real impact: A 5,000 contact list from Hunter 6 months ago = 50% invalid emails today.

Solutions:

Re-scrape every 3 months (cost: $7,500 for Hunter-sized list)
Use platforms with auto-refresh (Apollo monthly, ZoomInfo monthly, Hunter less frequent)
Implement email validation before send (removes invalid emails, costs $0.01-0.05 per email)

Our Recommendation

For Cold Email + Lead Gen: Apollo. Balanced cost, accuracy, integration with cold email tools. Single platform handles 90% of your workflow.

For Enterprise B2B: ZoomInfo. Higher cost, but decision-maker focus means better-qualified conversations. ROI justifies expense if your deal size is >$50K.

For Startups/Budget: Hunter + Email validation. Cheaper upfront, but requires extra validation step. Total cost ends up similar to Apollo.

For Technical Ops: PDL. Highest flexibility. Integrates into custom n8n workflows. Overkill unless you're building your own infrastructure.

For LinkedIn-Focused Selling: Leadiro or Datagma.

FAQ Schema

Q: What's the difference between lead scraping and email finding?

A: Lead scraping extracts full contact records (name, title, company, email, phone). Email finding only finds email addresses. Hunter is email finding. Apollo is lead scraping. For cold email, you need full records to personalize and verify legitimacy. Email-only tools are cheaper but less useful.

Q: Is it legal to scrape B2B contact data?

A: Yes, from public sources. B2B data scraping from LinkedIn, company websites, public registries is legal in most jurisdictions. GDPR (EU) restricts use (you need opt-in consent). CCPA (California) restricts it similarly. TCPA (US) restricts cold calling/SMS but not email. All tools on this list operate within legal bounds in their primary jurisdictions.

Q: Why do lead databases have low accuracy rates?

A: B2B contact data changes constantly. Employees leave companies. Roles change. Email formats evolve when companies standardize. Outdated data degrades 2-3% monthly. Tools that update quarterly (RocketReach) have worse accuracy than tools that update monthly (Apollo). Tools with real-time updates (Leadiro) have better accuracy but higher cost.

Q: Should I use one lead source or combine multiple?

A: Combine for critical campaigns. Use Apollo for initial list. Use Hunter as secondary validator. Removes overlap, increases total coverage by 15-20%. Cost increases 25%, but validity increases 20%, so net positive ROI.

Q: How do I know if a scraped email is real?

A: Confidence scores (from Hunter, Leadiro, etc.). Email validation tools (Bounceless, Bouncer). Track bounce rate on test batch (if 20%+ bounce rate, list quality is bad). Use SMTP verification (tools like Mailtester simulate sending without actually sending—detects invalid addresses).

Internal Links

/blog/lead-scraping-for-cold-email
/blog/cold-email-tool-stack
/blog/apollo-lead-generation

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"List decay curve - how lead accuracy declines over 6 months"

Quick Answer

Best B2B lead scraping tools in 2026: Apollo (82% accuracy, best value), ZoomInfo (91% accuracy, enterprise), Hunter (73% accuracy, cheapest). Real accuracy testing shows ZoomInfo highest but expensive. Apollo best all-around for cold email. Combine multiple sources for critical campaigns. Lists decay 2-3% monthly—re-validate quarterly.

Frequently Asked Questions

What's the difference between lead scraping and email finding?

Lead scraping extracts full contact records (name, title, company, email, phone). Email finding only finds email addresses. Hunter is email finding. Apollo is lead scraping. For cold email, you need full records to personalize and verify legitimacy. Email-only tools are cheaper but less useful.

Is it legal to scrape B2B contact data?

Yes, from public sources. B2B data scraping from LinkedIn, company websites, public registries is legal in most jurisdictions. GDPR (EU) restricts use (you need opt-in consent). CCPA (California) restricts it similarly. TCPA (US) restricts cold calling/SMS but not email. All tools on this list operate within legal bounds in their primary jurisdictions.

Why do lead databases have low accuracy rates?

B2B contact data changes constantly. Employees leave companies. Roles change. Email formats evolve when companies standardize. Outdated data degrades 2-3% monthly. Tools that update quarterly (RocketReach) have worse accuracy than tools that update monthly (Apollo). Tools with real-time updates (Leadiro) have better accuracy but higher cost.

Should I use one lead source or combine multiple?

Combine for critical campaigns. Use Apollo for initial list. Use Hunter as secondary validator. Removes overlap, increases total coverage by 15-20%. Cost increases 25%, but validity increases 20%, so net positive ROI.

How do I know if a scraped email is real?

Confidence scores (from Hunter, Leadiro, etc.). Email validation tools (Bounceless, Bouncer). Track bounce rate on test batch (if 20%+ bounce rate, list quality is bad). Use SMTP verification (tools like Mailtester simulate sending without actually sending—detects invalid addresses).