Lead Enrichment Engine - Apollo & Clearbit Alt avatar

Lead Enrichment Engine - Apollo & Clearbit Alt

Pricing

Pay per usage

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Lead Enrichment Engine - Apollo & Clearbit Alt

Lead Enrichment Engine - Apollo & Clearbit Alt

Enrich leads from domain or email. Company profile, social links, tech stack, funding data, SEC filings, GitHub presence. Apollo alternative, Clearbit alternative, ZoomInfo alternative at $0.05/query.

Pricing

Pay per usage

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Developer

daehwan kim

daehwan kim

Maintained by Community

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0

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3

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2

Monthly active users

3 days ago

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Turn any domain or email address into a full company profile — tech stack, social links, SEC filings, email patterns, and Wayback Machine history — without paying for Apollo, Clearbit, or ZoomInfo, at $0.05 per query.

What does Lead Enrichment Engine do?

Lead Enrichment Engine takes a domain name (e.g. stripe.com) or an email address (e.g. john@stripe.com) and returns enriched company intelligence by querying multiple free public data sources in parallel. It extracts company name, industry, founding date, CEO, headquarters, employee estimates, stock ticker, tech stack, CDN/hosting provider, SSL certificate details, Wayback Machine history, and email format patterns — all from a single input.

The Actor uses Wikidata SPARQL, SEC EDGAR full-text search, the Wayback Machine CDX API, crt.sh SSL certificate transparency logs, DNS MX resolution, and direct HTTP header analysis. These sources are combined and de-duplicated to produce a single enriched record per query.

Four modes let you focus on what you need: full_enrichment runs all sources in parallel, company_profile fetches identity and funding data, social_discovery retrieves social media presence, and tech_intel audits the domain's technology stack and security headers. This makes the Actor suitable as a direct replacement for Apollo's company enrichment, Clearbit's Reveal API, or the basic ZoomInfo company lookup — without monthly contracts or per-seat pricing.

Key features

  • Domain or email input: accepts raw domains, email addresses (extracts domain automatically), or partial domains
  • Wikidata SPARQL enrichment: company name, industry, CEO, headquarters, founded date, stock ticker, and employee count from structured knowledge graph data
  • SEC EDGAR search: cross-references filings mentioning the domain to identify public company status and recent 10-K/10-Q/20-F filings
  • Wayback Machine history: first archived date, last snapshot, and estimated company age in years
  • crt.sh SSL lookup: certificate issuer, validity dates, and Let's Encrypt status
  • DNS MX analysis: email provider detection (Google Workspace, Microsoft 365, Zoho, Amazon SES, and more)
  • HTTP header fingerprinting: CDN detection (Cloudflare, CloudFront, Vercel, Netlify, Fastly, Akamai), server type, and powered-by hints
  • Security headers audit: HSTS, CSP, X-Frame-Options, X-Content-Type-Options, Referrer-Policy, Permissions-Policy — scored 0–100
  • Email pattern inference: derives common formats (first.last@domain, firstl@domain) from the detected email provider
  • Employee estimates: sourced from Wikidata employee count data
  • Pay-per-event pricing: charged only on successful enrichment

Use cases

  • Sales development reps: enrich a prospect list with company size, industry, and tech stack before outreach
  • Founders doing competitive research: profile competitor domains for funding indicators, tech choices, and company age
  • Recruiters: identify which email provider a company uses and estimate headcount before cold outreach
  • Security researchers: audit a domain's security posture via header scores, SSL issuer, DMARC/SPF presence
  • Data analysts: batch enrich a CRM export with structured company data to segment by industry or size
  • Marketing ops teams: qualify inbound leads by domain enrichment without paying for a dedicated data vendor

How to use Lead Enrichment Engine

  1. Configure input — provide a domain or email address and select your enrichment mode; optionally toggle funding info, email patterns, and employee estimates
  2. Run the Actor — click "Start" in Apify Console or call via the Apify API
  3. Get structured results — output is pushed to the Apify dataset as structured JSON

Input parameters

ParameterTypeRequiredDefaultDescription
querystringYesstripe.comDomain name (stripe.com) or email address (john@stripe.com) to enrich
modestringNofull_enrichmentfull_enrichment, company_profile, social_discovery, or tech_intel
includeEmailsbooleanNotrueDiscover common email patterns based on MX provider
includeFundingbooleanNotrueInclude SEC EDGAR filings and Wikidata funding/investor indicators
includeEmployeesbooleanNotrueEstimate company size from Wikidata and GitHub org data

Output example

{
"query": "stripe.com",
"domain": "stripe.com",
"mode": "full_enrichment",
"companyName": "Stripe",
"industry": "financial technology",
"founded": "2010-01-01",
"headquarters": "San Francisco",
"ceo": "Patrick Collison",
"stockTicker": null,
"isPublicCompany": false,
"emailProvider": "Google Workspace",
"cdn": "Cloudflare",
"server": null,
"employeeCount": 8000,
"employeeEstimate": "~8,000",
"emailPatterns": {
"patterns": [
"first.last@stripe.com",
"first@stripe.com",
"firstl@stripe.com",
"flast@stripe.com"
],
"provider": "Google Workspace"
},
"secFilings": [],
"wayback": {
"firstSeen": "2010-09-15",
"lastSeen": "2025-03-18",
"companyAgeYears": 14
},
"sslInfo": {
"issuer": "DigiCert Inc",
"validFrom": "2024-11-01",
"validTo": "2025-11-01",
"isLetsEncrypt": false
},
"timestamp": "2025-03-21T09:22:11.447Z"
}

Pricing

Each successful enrichment costs $0.05 under Apify's pay-per-event model. You only pay when enrichment completes and data is pushed to the dataset. Queries that fail due to network errors or invalid input are not charged. Learn more about pay-per-event pricing.

API and integrations

Call this Actor via the Apify API, schedule recurring runs, or connect to Zapier, Make, or Google Sheets to enrich incoming leads automatically. Results are available as JSON, CSV, or Excel from the Apify dataset.

Limitations

  • Data quality depends on public source availability: Wikidata coverage is strongest for well-known companies; smaller or newer companies may return fewer fields
  • Employee estimates and funding data reflect what is publicly recorded in Wikidata and SEC EDGAR, not real-time headcount
  • Social profile URLs (LinkedIn, Twitter, Crunchbase) are inferred from domain name patterns and are not verified by live HTTP checks in all modes