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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
| Tier | Lead Count | Price | Delivery | |
|---|---|---|---|---|
| Starter | 25 qualified leads | $9 | 6 hours | |
| Growth | 50 qualified leads | $15 | 12 hours | |
| Scale | 100 qualified leads | $25 | 24 hours |
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:
- Company websites - About pages, team pages, contact pages.
- LinkedIn - Company pages, employee directories (respect rate limits).
- Industry directories - Clutch, G2, Capterra, Crunchbase, AngelList.
- Job boards - Companies hiring for relevant roles signal growth.
- Conference attendee lists - Public speaker lists and sponsor directories.
- Press releases - Funding announcements signal budget availability.
- GitHub - For developer-focused leads, check org pages.
- 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:
| Criteria | Points | How to Verify | |
|---|---|---|---|
| Matches ICP industry | +2 | Company website, LinkedIn | |
| Matches ICP company size | +1 | LinkedIn employee count, website | |
| Decision maker identified | +2 | Title matches target role | |
| Verified email address | +1 | Email pattern validation | |
| Phone number available | +1 | Website contact page | |
| Buying signals present | +2 | Hiring, funding, pain point mentions | |
| Active online presence | +1 | Recent posts, blog, social activity |
Score interpretation:
| Score | Label | Meaning | |
|---|---|---|---|
| 8-10 | Hot | High-priority, immediate outreach recommended | |
| 6-7 | Warm | Good fit, likely to respond | |
| 4-5 | Cool | Partial fit, nurture needed | |
| 1-3 | Cold | Low priority, may not be a fit |
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:
- Format check - Valid email format (RFC 5322).
- Domain check - Domain exists, has MX records.
- Pattern matching - Use common patterns: first@, first.last@, firstl@.
- Catch-all detection - Note if the domain accepts all addresses.
- 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 Leads1.**{company}** - {contact} ({title}) - Score: {score}{one-line why this is a top lead}2....## Recommended Outreach Sequence1.Day 1: Personalized cold email referencing {signal}2.Day 3: LinkedIn connection request with note3.Day 7: Follow-up email with value-add content4.Day 14: Final touchpoint, offer call## Methodology{Brief description of sources used and verification approach}
Ethical Guidelines
These are non-negotiable rules:
- No scraping personal data from platforms that prohibit it in their ToS.
- Business emails only - Never collect personal email addresses.
- No deception - Never impersonate someone to get contact info.
- Respect opt-outs - If a company has a "do not contact" notice, skip them.
- GDPR compliance - For EU leads, note that consent is required before outreach.
- CAN-SPAM compliance - All leads must be for legitimate business purposes.
- Data minimization - Only collect what is needed for outreach.
- 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 scriptnode scripts/scraper.js --query "SaaS companies Austin Texas" --count 25 --output leads.json# With ICP filtersnode scripts/scraper.js --query "e-commerce startups" --count 50 --industry ecommerce --size "10-50"
Example Commands
# Generate a starter lead listcashclaw leads --icp "saas,10-50,US" --count 25 --output leads.json# Generate with specific titlescashclaw leads --icp "ecommerce,50-200,EU" --titles "CEO,CMO" --count 50