Company Email Finder: People, Titles & Email Pattern

Give it company websites. It reads each company's own site and returns:

• The people on its team, about and leadership pages: name, job title, a decision-maker flag, and LinkedIn when the site links it
• Every email published on the site, marked personal or generic (info@, sales@, press@...)
• The company's email pattern (first.last@, flast@, first@...), worked out from published emails that match people on the site
• An email for each person: the published one when there is one; otherwise built from the company's pattern, with a confidence level (high, medium or low) and the reason
• The mail provider (Google Workspace, Microsoft 365, Mimecast, Proofpoint...) and whether the domain accepts mail at all

Or give it "Jane Doe, acme.com" and get that person's most likely email.

No account, no API key, no proxy. $0.004 per contact. Domain summaries are free.

What you get

Person or lookup: domain, company, name, title, isDecisionMaker, email, emailSource (published on site / pattern), confidence (verified on site / high / medium / low), alternatives, basis, linkedin, sourceUrl, mailProvider

Email: domain, company, email, emailType (personal / generic), onCompanyDomain, sourceUrl, mailProvider

Domain summary (free): domain, company, reachable, pagesRead, acceptsMail, mailProvider, mxHosts, emailPattern, patternEvidence, patternExamples, peopleFound, decisionMakersFound, emailsFound, genericEmails

Example input

Leadership and emails at a list of companies:

{
  "domains": ["hubspot.com", "calendly.com", "sequoiacap.com"],
  "onlyDecisionMakers": true
}

One person's email:

{
  "people": ["Roelof Botha, sequoiacap.com", "Wade Foster, zapier.com"]
}

Example output

A person whose email the site publishes:

{
  "type": "person",
  "domain": "sequoiacap.com",
  "name": "Liam Corrigan",
  "email": "lcorrigan@sequoiacap.com",
  "emailSource": "published on site",
  "confidence": "verified on site",
  "sourceUrl": "https://sequoiacap.com/our-team"
}

A lookup answered from the company's pattern:

{
  "type": "lookup",
  "input": "Roelof Botha",
  "domain": "sequoiacap.com",
  "email": "rbotha@sequoiacap.com",
  "emailSource": "pattern",
  "confidence": "high",
  "basis": "Company pattern flast@ seen in 5 published email(s).",
  "mailProvider": "Mimecast"
}

The free summary per domain:

{
  "type": "domain",
  "domain": "sequoiacap.com",
  "acceptsMail": true,
  "mailProvider": "Mimecast",
  "emailPattern": "flast@sequoiacap.com",
  "patternEvidence": 5,
  "patternExamples": ["lcorrigan@sequoiacap.com", "smaguire@sequoiacap.com", "dmeyer@sequoiacap.com"],
  "peopleFound": 11,
  "emailsFound": 13
}

Uses

• Outbound sales: the founders and executives of your target accounts, with an email for each
• Enrich a CRM: fill in emails for contacts you already have by name and company
• Recruiting and partnerships: reach the right head of a team instead of info@
• Account research: who runs a company, and on what mail stack

Pricing

• $0.004 per contact: a person, a published email, or an answered lookup
• Domain summaries are free. Sites that don't load are free. Lookups at domains with no mail server are free.

How confidence works

• verified on site: the email is published on the company's website
• high: built from a pattern that two or more published emails confirm
• medium: built from a pattern that one published email confirms
• low: the site published no personal emails to learn from. You get the most common B2B pattern (first.last@), plus the next four as alternatives.

Notes

• Mailboxes are not checked over SMTP; datacenter servers can't reach mail servers on port 25. Use a verifier on low-confidence emails before a large send.
• Only the company's own website is read. People who aren't on the site are found through name lookups.
• Customer stories, testimonials and blog pages are skipped, and people whose title names another company are left out, so customers quoted on the site don't show up as staff.
• Sites that block bots or build their team page only in the browser can return few people. The free domain summary tells you how many pages were read.
• Respect the anti-spam and privacy laws that apply to you (CAN-SPAM, GDPR, CASL) when you contact anyone.