Affiliate disclosure: some links in this article are partner links. If you start a paid plan through them, imisofts may earn a commission at no extra cost to you. We only recommend tools we actually use to run client campaigns.
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- Outdated email = undelivered email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test emails to Apollo-provided addresses. 82% reached real inboxes (legitimate email addresses). 18% bounced or were outdated.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 ([email protected], [email protected], 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.