B2B Leads Finder: Business Emails and LinkedIn Profiles Without Apollo or ZoomInfo

Apollo charges $49/month for 1,200 exports. ZoomInfo runs five figures annually. Our B2B Leads Finder combines Google SERP, LinkedIn’s public index, and email pattern inference to return decision-maker names, job titles, LinkedIn profiles, and guessed business emails at $0.002 per lead — no third-party enrichment API required.

How it works

For each target company or domain:

1. LinkedIn SERP discovery — queries Google for site:linkedin.com/in "company name" "job title" to find people who list the company on their profile.
2. Company website scraping — visits /team, /about, and /contact pages to find any directly listed emails and names.
3. Email pattern inference — generates the most common business email patterns (firstname@domain, f.lastname@domain, firstname.lastname@domain) and validates the domain has active MX records.

The output labels each email as found (directly extracted from the web), guessed (pattern-inferred), or verified (MX records confirmed for the domain).

What you get per lead

• company — company name
• domain — company domain
• name — person’s full name
• job_title — their job title and headline
• linkedin_url — LinkedIn profile URL
• email — business email (found or guessed)
• email_confidence — "found" | "guessed" | "verified"
• phone — phone number (if found on website)
• source — which data surface returned the record
• scraped_at — ISO timestamp

Python example

import requests, time

run = requests.post(
    "https://api.apify.com/v2/acts/themineworks~b2b-leads-finder/runs",
    headers={"Authorization": f"Bearer {APIFY_TOKEN}"},
    json={
        "companies": ["stripe.com", "notion.so", "linear.app"],
        "jobTitles": ["Head of Marketing", "VP Sales", "CEO"],
        "maxLeadsPerCompany": 10
    }
)

run_id = run.json()["data"]["id"]

while True:
    r = requests.get(
        f"https://api.apify.com/v2/actor-runs/{run_id}",
        headers={"Authorization": f"Bearer {APIFY_TOKEN}"}
    ).json()
    if r["data"]["status"] in ("SUCCEEDED", "FAILED"):
        break
    time.sleep(5)

leads = requests.get(
    f"https://api.apify.com/v2/actor-runs/{run_id}/dataset/items",
    headers={"Authorization": f"Bearer {APIFY_TOKEN}"}
).json()

for lead in leads:
    print(lead["name"], lead["job_title"], "@", lead["company"])
    print(f"  {lead['email']} ({lead['email_confidence']}) | {lead['linkedin_url']}")

Filtering by confidence

# Use found emails for immediate outreach
direct_emails = [l for l in leads if l["email_confidence"] == "found"]

# Use guessed emails with a warm-up or validation tool
pattern_emails = [l for l in leads if l["email_confidence"] == "guessed"]

print(f"{len(direct_emails)} directly found, {len(pattern_emails)} inferred")

Email deliverability note

Guessed emails are pattern-inferred, not deliverability-verified. Run them through a validation service (Zerobounce, Mailcheck) before sending at scale. Directly found emails from company websites are generally reliable.

Cost comparison

Tool	1,000 leads	Per lead
Apollo (Starter)	$49/mo (1,200 exports)	~$0.041
ZoomInfo	~$14,995/yr (varies)	varies
Lusha	$29/mo (40 credits)	~$0.73
B2B Leads Finder	$2.00	$0.002

Nothing is charged for leads that fail to enrich.

Use cases

Cold outreach. Build targeted prospect lists for email or LinkedIn sequences without a $500+/month enrichment subscription.

Account enrichment. Fill in missing contact data in your CRM for accounts that were identified but never enriched.

Market mapping. Identify all decision-makers at a shortlist of target accounts before an ABM campaign.

Agency lead lists. Build and deliver enriched contact lists for clients at a cost that leaves real margin.

Pricing

$0.002 per lead. Empty results are not charged.

Available on Apify.