B2B Leads Finder - Email Finder & Contact Database Builder | Apollo Alternative | $5/1K

Build targeted B2B lead lists with verified emails, job titles, LinkedIn profiles, and company data — in minutes. An affordable Apollo.io alternative that scrapes real-time data instead of relying on stale databases.

Save 80-90% vs Apollo.io, ZoomInfo, Lusha, and Snov.io. No annual contract. Pay only for the leads you get.

Why Use This B2B Leads Finder?

• 🎯 Real-Time Data — Scrapes live data, not a stale contact database
• 💰 80-90% Cheaper — $5/1K leads vs $30-50/1K on Apollo.io
• 📧 Email Included — Finds emails from company websites, not just LinkedIn
• 🔍 Precise Targeting — Filter by job title, location, industry, and company size
• 🔗 LinkedIn Profiles — Every lead includes a verified LinkedIn URL
• 💳 No Subscription — Pay per use, no annual commitment
• 📦 Export Ready — JSON, CSV, Excel, Google Sheets

How This Lead Generation Tool Works

The actor combines four data sources to build the most complete lead profile possible:

1. Google Search — Finds LinkedIn profiles matching your criteria (title + company + location)
2. LinkedIn Public Profiles — Extracts name, job title, company, and location from public profile pages
3. Company Website Crawl — Visits company websites to discover real email addresses
4. Email Pattern Generation — Creates likely email variants (firstname@company.com, f.lastname@company.com, etc.)

B2B Lead Finder vs. Apollo.io and Alternatives

Feature	This Actor	Apollo.io	ZoomInfo	Lusha	Snov.io
Price per 1K leads	$5	$30-50	$50-100+	$40-80	$25-50
Monthly subscription	None	$49-119/mo	$15K+/yr	$29-69/mo	$33-83/mo
Annual contract required	No	Yes (best rate)	Yes	No	No
Data freshness	Real-time	Database (may be stale)	Database	Database	Database
LinkedIn profile URL	Yes	Yes	Yes	Yes	Yes
Email verification	Pattern + found	Built-in	Built-in	Built-in	Built-in
Pay per use	Yes	No	No	No	No

Bottom line: $5 vs $30-50 for the same 1,000 leads. That is 6-10x cheaper.

Input Examples

Find Marketing Managers in San Francisco

{
    "searchQueries": ["marketing manager San Francisco"],
    "jobTitle": "marketing manager",
    "location": "San Francisco",
    "maxResults": 100
}

Find CTOs at Fintech Companies

{
    "searchQueries": [
        "CTO fintech New York",
        "CTO fintech San Francisco",
        "CTO fintech London"
    ],
    "jobTitle": "CTO",
    "industry": "fintech",
    "maxResults": 200
}

Find VP Sales at Mid-Market SaaS

{
    "searchQueries": [
        "VP sales SaaS",
        "head of sales B2B software",
        "sales director enterprise"
    ],
    "jobTitle": "VP Sales",
    "companySize": "51-200",
    "maxResults": 500
}

Find Startup Founders for Outreach

{
    "searchQueries": [
        "founder CEO startup San Francisco 2024",
        "co-founder tech startup New York"
    ],
    "jobTitle": "founder",
    "maxResults": 100
}

Target Specific Companies

{
    "searchQueries": ["stripe", "hubspot", "salesforce"],
    "jobTitle": "Head of Marketing",
    "maxResults": 50
}

Full Output Example

{
    "query": "marketing manager San Francisco",
    "fullName": "Jane Smith",
    "firstName": "Jane",
    "lastName": "Smith",
    "jobTitle": "Marketing Manager",
    "company": "Acme Corp",
    "email": "jane.smith@acmecorp.com",
    "emailConfidence": "high",
    "emailsFound": ["info@acmecorp.com", "jane.smith@acmecorp.com"],
    "emailGuesses": ["jane@acmecorp.com", "jane.smith@acmecorp.com", "jsmith@acmecorp.com"],
    "linkedinUrl": "https://www.linkedin.com/in/janesmith",
    "companyWebsite": "https://www.acmecorp.com",
    "companyDomain": "acmecorp.com",
    "location": "San Francisco, California",
    "industry": "Marketing and Advertising",
    "scrapedAt": "2026-03-04T12:00:00.000Z"
}

Email Confidence Levels Explained

Confidence	Meaning	Typical Accuracy
high	Email found directly on company website matching the person	90%+
medium	Generic company email found (info@, contact@) but not personal	50-70%
guess	Pattern-generated email (firstname@company.com variants)	40-60%
none	No email could be determined	N/A

We recommend using our Email Verify API to validate emails before sending cold outreach.

Input Parameters Reference

Parameter	Type	Required	Default	Description
searchQueries	Array	Yes	—	Search terms like "VP sales fintech" or company names like "stripe"
jobTitle	String	No	—	Filter by title (e.g., "CEO", "VP Marketing", "Head of Sales")
location	String	No	—	Filter by city/region (e.g., "New York", "London")
industry	String	No	—	Filter by industry (e.g., "SaaS", "Healthcare", "Finance")
companySize	Enum	No	any	Filter: 1-10, 11-50, 51-200, 201-500, 501-1000, 1000+
maxResults	Integer	No	100	Max leads to return (1–1,000 per run)
proxy	Object	No	Auto	Proxy config (residential recommended)

Pricing

$5 per 1,000 leads. No subscription. No minimum. No contracts.

Leads	Cost	vs Apollo.io
100	$0.50	Save ~$3-5
500	$2.50	Save ~$15-25
1,000	$5.00	Save ~$25-45
5,000	$25.00	Save ~$125-225
10,000	$50.00	Save ~$250-450

You pay only for successfully extracted leads. Failed or duplicate results are not charged.

Top Use Cases

• Cold Email Outreach — Build targeted prospect lists by title, location, and company size
• Sales Prospecting — Feed your CRM with fresh decision-maker contacts before outreach sequences
• Recruiting — Find passive candidates at target companies by job title and location
• Account-Based Marketing — Build contact lists for all target companies at once
• Investor Research — Find founders and C-suite at startups for deal sourcing
• Event Marketing — Build attendee outreach lists by industry and location
• Partnership Outreach — Identify potential partners by company and role

Tips for Getting the Best Leads

1. Be specific with search queries — "VP marketing SaaS San Francisco" outperforms "marketing"
2. Stack multiple queries — Different queries surface different people; use 3-5 per campaign
3. Combine filters — jobTitle + location together gives the most precise targeting
4. Test before scaling — Run 50-100 leads first to validate query quality before a full campaign
5. Verify emails — Use emailConfidence: high leads first; verify guess emails before sending
6. Use residential proxies — Pre-configured by default for best Google and LinkedIn success rates

Known Limitations

• Email confidence varies — "high" emails are most reliable; always verify before bulk sending
• LinkedIn may limit public profile access under heavy load (proxy rotation handles this automatically)
• Company websites with no public emails will return guess level confidence only
• Google CAPTCHA throttling under very high query volume (proxy rotation mitigates this)

Export & Integrations

• CSV / JSON / Excel / XML — Direct download from Apify dataset
• Google Sheets — Auto-sync with Apify's native integration
• Webhooks — Push results to your CRM or pipeline when the run completes
• REST API — Fetch lead datasets programmatically and pipe into HubSpot, Salesforce, Outreach, etc.

Related Actors in This Suite

Actor	What It Does	Price
LinkedIn Company Scraper	Get firmographic data for target accounts	$3/1K
LinkedIn Company Employees Finder	Find all employees at a company by title	$3/1K
LinkedIn Profile Scraper	Extract full profile data from LinkedIn URLs	$3/1K
Contact Email Finder	Find email addresses from any website	$3/1K
Google Maps Email Extractor	Local business lead generation from Maps	$5/1K
LinkedIn Jobs Scraper	Find companies actively hiring	$2/1K
LinkedIn Post Scraper	Find engaged prospects via post interactions	$2/1K

FAQ

Is this a real Apollo.io alternative? Yes — for teams that need fresh, targeted lead lists without a $500+/month SaaS contract. This actor scrapes data in real time, so results reflect the current state of LinkedIn and company websites. The trade-off is that email verification is pattern-based rather than database-backed, so we recommend verifying high-value leads.

Is this legal to use? The actor accesses only publicly available data from Google search results and public LinkedIn profiles. No login is required. Always comply with applicable data protection regulations (GDPR, CCPA) and anti-spam laws (CAN-SPAM, CASL) when using the data for outreach.

How accurate are the email addresses? Emails marked high confidence are found directly on company websites with the person's name visible nearby — accuracy is 90%+. Pattern-generated (guess) emails are accurate 40-60% of the time depending on the company's email format. We recommend running leads through an email verifier before a cold campaign.

Can I export leads to CSV for use in my outreach tool? Yes. Apify datasets export to CSV, JSON, Excel, and XML from the console. You can also push directly to Google Sheets or use webhooks to send leads to your CRM automatically.

How fast does it run? Approximately 100-200 leads per minute depending on proxy speed and target website response times. A 1,000-lead run typically completes in 5-15 minutes.