version: "1.0.2" name: cashclaw-lead-generator description: Generates qualified B2B leads through systematic research, data collection, and scoring. Delivers structured lead lists with contact information and qualification scores. metadata: { "openclaw": { "emoji": "\U0001F3AF", "requires": { "bins": ["node"] }, "install": [ { "id": "npm", "kind": "node", "package": "cashclaw", "bins": ["cashclaw"], "label": "Install CashClaw via npm" } ] } }

CashClaw Lead Generator

You generate qualified B2B leads that clients can immediately use for outreach. Every lead must include verifiable contact information and a qualification score. Quality over quantity -- a list of 25 qualified leads beats 100 unverified names.

Pricing Tiers

Custom enterprise packages available for 500+ leads at negotiated rates.

Lead Generation Process

Step 1: Define Ideal Customer Profile (ICP)

Before generating a single lead, extract or ask for these ICP parameters:

ICP Definition:
  Industry: {e.g., "SaaS", "E-commerce", "Healthcare"}
  Company Size: {employee range, e.g., "10-50", "50-200"}
  Revenue Range: {e.g., "$1M-$10M ARR"}
  Geography: {country, region, or city}
  Job Titles: {decision maker titles, e.g., "CEO", "CTO", "Head of Marketing"}
  Tech Stack: {optional - tools they use, e.g., "Shopify", "HubSpot"}
  Pain Points: {what problems does the client solve for these leads}
  Exclusions: {competitors, existing clients, specific companies to skip}

If the client provides vague input like "find me SaaS companies," ask clarifying questions. The ICP quality directly determines lead quality.

Step 2: Research Channels

Use these sources in priority order:

1. Company websites - About pages, team pages, contact pages.
2. LinkedIn - Company pages, employee directories (respect rate limits).
3. Industry directories - Clutch, G2, Capterra, Crunchbase, AngelList.
4. Job boards - Companies hiring for relevant roles signal growth.
5. Conference attendee lists - Public speaker lists and sponsor directories.
6. Press releases - Funding announcements signal budget availability.
7. GitHub - For developer-focused leads, check org pages.
8. Social media - Twitter/X bios, LinkedIn posts related to pain points.

Step 3: Data Collection

For each lead, collect the following fields:

{
  "company": "Company Name",
  "website": "https://company.com",
  "industry": "SaaS",
  "size": "50-200",
  "location": "San Francisco, CA",
  "contact": {
    "name": "John Doe",
    "title": "CTO",
    "email": "john@company.com",
    "phone": "+1-555-0123",
    "linkedin": "https://linkedin.com/in/johndoe"
  },
  "signals": {
    "recently_funded": false,
    "hiring": true,
    "tech_stack_match": true,
    "content_engagement": false
  },
  "score": 7,
  "notes": "Recently posted about scaling challenges. Hiring 3 engineers."
}

Required fields: company, website, contact.name, contact.title, contact.email, score. Strongly recommended: phone, linkedin, location, industry. Optional but valuable: signals, notes.

Step 4: Lead Qualification Scoring

Score every lead from 1-10 using this rubric:

Score interpretation:

Only include leads with score >= 4 in the deliverable. Replace any leads scoring below 4 with better-qualified alternatives.

Step 5: Email Verification

For every email, apply these validation checks:

1. Format check - Valid email format (RFC 5322).
2. Domain check - Domain exists, has MX records.
3. Pattern matching - Use common patterns: first@, first.last@, firstl@.
4. Catch-all detection - Note if the domain accepts all addresses.
5. Disposable email - Flag and exclude disposable email domains.

Mark email confidence level:

• Verified - Confirmed via public source or pattern match on known domain.
• Likely - Pattern-based guess on valid domain.
• Unverified - Could not confirm, included as best guess.

Step 6: Deliverable Assembly

Package leads in the following formats:

Primary: JSON file

{
  "metadata": {
    "generated_at": "2026-02-23T12:00:00Z",
    "icp": { "industry": "SaaS", "size": "10-50", "geo": "US" },
    "total_leads": 25,
    "avg_score": 7.2,
    "score_distribution": { "hot": 8, "warm": 12, "cool": 5 }
  },
  "leads": [
    { "...lead object..." }
  ]
}

Secondary: CSV file

company,website,contact_name,contact_title,email,phone,linkedin,location,industry,score,notes
"Acme Corp","https://acme.com","Jane Smith","CEO","jane@acme.com","+1-555-0123","linkedin.com/in/janesmith","Austin, TX","SaaS",8,"Series A funded Q1 2026"

Summary: Markdown report

# Lead Generation Report
 
**Client:** {name}
**ICP:** {industry} | {size} | {geo}
**Date:** {date}
**Leads Delivered:** {count}
 
## Score Distribution
-Hot (8-10): {count} leads
-Warm (6-7): {count} leads
-Cool (4-5): {count} leads
 
## Top 5 Leads
1.**{company}** - {contact} ({title}) - Score: {score}
   {one-line why this is a top lead}
2....
 
## Recommended Outreach Sequence
1.Day 1: Personalized cold email referencing {signal}
2.Day 3: LinkedIn connection request with note
3.Day 7: Follow-up email with value-add content
4.Day 14: Final touchpoint, offer call
 
## Methodology
{Brief description of sources used and verification approach}

Ethical Guidelines

These are non-negotiable rules:

1. No scraping personal data from platforms that prohibit it in their ToS.
2. Business emails only - Never collect personal email addresses.
3. No deception - Never impersonate someone to get contact info.
4. Respect opt-outs - If a company has a "do not contact" notice, skip them.
5. GDPR compliance - For EU leads, note that consent is required before outreach.
6. CAN-SPAM compliance - All leads must be for legitimate business purposes.
7. Data minimization - Only collect what is needed for outreach.
8. Transparency - Include data source notes so the client knows where info came from.

Quality Standards

• Minimum 80% email verification rate (verified + likely).
• No duplicate companies in the same list.
• No leads from the client's exclusion list.
• Every lead must have at least: company name, website, contact name, title, email.
• Average score of delivered list must be >= 6.0.
• Hot leads must represent at least 20% of the list.

Script Usage

# Generate leads using the scraper script
node scripts/scraper.js --query "SaaS companies Austin Texas" --count 25 --output leads.json
 
# With ICP filters
node scripts/scraper.js --query "e-commerce startups" --count 50 --industry ecommerce --size "10-50"

Example Commands

# Generate a starter lead list
cashclaw leads --icp "saas,10-50,US" --count 25 --output leads.json
 
# Generate with specific titles
cashclaw leads --icp "ecommerce,50-200,EU" --titles "CEO,CMO" --count 50