B2B Sales Lead Engine — End-to-End Pipeline

Generate qualified B2B leads in minutes. This actor runs a complete 5-phase pipeline: company discovery → website analysis → contact extraction → lead scoring → CRM-ready export.

Perfect for sales teams, recruiters, and business developers who need structured lead lists without manually researching each prospect.

How It Works

The pipeline executes five phases automatically:

1. Company Discovery — Searches DuckDuckGo Lite and LinkedIn for companies matching your industry, location, and keywords
2. Website Analysis — Scrapes each company's homepage, about page, and contact page for metadata, description, tech stack, and team size
3. Contact Extraction — Finds emails (classified as named, info, sales, support, or jobs), phone numbers, and social media links (LinkedIn, Twitter, Facebook, Instagram, GitHub)
4. Lead Scoring — Scores each lead 1–100 based on data completeness, contact quality, and enrichment depth. Labeled HIGH / MEDIUM / LOW confidence
5. CRM Export — Output includes pre-mapped fields for HubSpot and Salesforce

Input Parameters

Parameter	Type	Required	Description
targetIndustry	string	✅	Industry to target (e.g., "SaaS", "manufacturing", "healthcare")
targetLocation	string	✅	Geographic area (e.g., "New York", "Berlin", "remote")
targetKeywords	string	—	Extra keywords to refine the search
maxLeads	integer	—	Max leads to generate (default: 50, max: 500)
includeEmails	boolean	—	Extract email addresses from company websites (default: true)
includePhones	boolean	—	Extract phone numbers (default: true)
includeSocialMedia	boolean	—	Extract social media profile links (default: true)
proxy	object	—	Proxy configuration (default: Apify proxy)

Output Example

Each lead is a structured JSON object:

{
  "company_name": "Acme Corp",
  "domain": "acme.com",
  "linkedin_url": "https://linkedin.com/company/acme",
  "industry": "SaaS",
  "description": "Acme Corp provides cloud-based project management...",
  "location": "San Francisco",
  "team_size": "50-200",
  "emails": [
    {"address": "john@acme.com", "type": "named", "context": "/about"},
    {"address": "sales@acme.com", "type": "sales", "context": "/contact"}
  ],
  "phones": ["+1-555-0123"],
  "social_links": {"linkedin": "...", "twitter": "..."},
  "tech_stack": ["React", "AWS", "Stripe"],
  "lead_score": 85,
  "lead_confidence": "HIGH",
  "_hubspot_fields": {"company": "Acme Corp", "website": "acme.com", ...},
  "_salesforce_fields": {"Name": "Acme Corp", "Website": "acme.com", ...}
}

Use Cases

• Sales prospecting — Build targeted account lists for outbound campaigns
• Market research — Profile competitors or identify companies in a new market
• Event prep — Generate attendee / sponsor lists for conferences
• Partnership sourcing — Find integration partners by tech stack and industry
• Recruiting — Identify companies hiring specific roles in a region

Pricing

Pay-per-event: $0.0045 per lead generated ($4.50 per 1,000 leads). You only pay for leads that are successfully generated and pushed to the output dataset.

Tips

• Be specific with industry + location for best results (e.g., "SaaS" + "Berlin" yields more targeted leads than broad terms)
• Use targetKeywords to filter by tech stack ("React"), business model ("B2B"), or company stage ("Series A")
• Leads with named contacts (email names, not info@) score higher automatically
• The output includes _hubspot_fields and _salesforce_fields — ready for direct CRM import