03 Lead Enrichment Scanner

Automated B2B lead generation and enrichment. Input: company names or domains. Output: enriched contact records with decision-maker names, emails, LinkedIn profiles, and personalized outreach drafts. Use when user says 'find leads', 'enrich contacts', 'B2B prospecting', 'build outbound list', or '50 qualified leads per week'.

Lead Enrichment Scanner

When to use this skill

Activate when the user wants to:

• Build an outbound sales pipeline
• Enrich a list of company names with contact details
• Generate personalized outreach drafts at scale
• Find decision-makers (CEO, VP Sales, etc.) at target companies
• Get 50-200 qualified leads per week without hiring an SDR

Prerequisites

• OpenClaw gateway running
• LLM API key configured
• No special account needed for basic operation (uses public data)
• Optional: LinkedIn cookie for higher-quality enrichment (user provides their own)

Workflow

1. Prepare input list

Create a text file with company names or domains (one per line):

bash

cat > companies.txt <<EOF
Stripe
Notion
Linear
Figma
EOF

2. Run enrichment

bash

clawhub run lead-enrichment-scanner enrich \
  --input companies.txt \
  --output leads.csv

Useful flags:

• --bulk — parallel processing (3x faster for large lists)
• --concurrency N — set parallel worker count (default 3)
• --resume — skip already-processed companies in output file (good for large jobs)
• --dry-run — preview what would happen without making requests
• --pro — use pro tier (up to 500 leads vs free tier's 10)
• --rate-limit N — seconds between requests (default 5)

Default fields extracted:

• Decision-maker name + title (via LLM)
• Email pattern (firstname@, firstname.lastname@, etc.)
• LinkedIn profile URL
• Company size + industry (via LLM)
• Recent news (last 30 days)
• Tech stack detected

Examples:

bash

# Sequential, 10 leads (free tier)
clawhub run lead-enrichment-scanner enrich --input companies.txt --output leads.csv

# Parallel, faster for large lists
clawhub run lead-enrichment-scanner enrich --input big-list.txt --output leads.csv --bulk

# Preview what would happen
clawhub run lead-enrichment-scanner enrich --input big-list.txt --output leads.csv --dry-run

# Resume a previous interrupted run
clawhub run lead-enrichment-scanner enrich --input big-list.txt --output leads.csv --resume

# Pro tier (paid): up to 500 leads
clawhub run lead-enrichment-scanner enrich --input big-list.txt --output leads.csv --pro --bulk

3. Generate personalized outreach drafts

bash

clawhub run lead-enrichment-scanner drafts \
  --input leads.csv \
  --tone "consultative" \
  --variants 3 \
  --output drafts.md

Tones available: consultative, cold, warm, follow-up, referral.

4. Bulk mode (100+ companies)

bash

clawhub run lead-enrichment-scanner enrich \
  --input companies-large.txt \
  --concurrency 3 \
  --output leads-bulk.csv \
  --bulk

5. Filter and segment

bash

# Only companies with 50-500 employees
clawhub run lead-enrichment-scanner filter \
  --input leads.csv \
  --min-employees 50 \
  --max-employees 500 \
  --output leads-segmented.csv

5. Configure defaults

bash

clawhub run lead-enrichment-scanner configure \
  --respect-robots-txt true \
  --rate-limit-seconds 5 \
  --no-personal-emails true

Outputs

• leads.csv: enriched lead records
• drafts.md: 3 personalized outreach variants per lead
• leads-segmented.csv: filtered subset
• CRM-imported contacts (if integrated)

Throughput

• Sequential: 3-5 leads/minute (5s rate limit per lead)
• Bulk mode: 10-15 leads/minute (parallel, 3 concurrent)
• Weekly realistic: 200-500 leads per 8-hour session

For comparison, a human SDR produces 20-40 leads/day with manual research.

Compliance guardrails

• Respects robots.txt of every domain scraped
• Rate-limited (5s between requests by default)
• Public data only — no private databases, no LinkedIn premium scraping
• GDPR-aware: only work-email patterns by default

Common customizations

For SaaS founders (0-100 customers phase):

• Target: Series A startups, US/EU, 20-200 employees
• Tone: consultative (pain-point led)
• Output: HubSpot import

For agencies prospecting clients:

• Target: agencies themselves, 5-50 employees
• Tone: cold (direct, brief)
• Output: Pipedrive

For B2B sales teams:

• Target: ICP-based, 100-1000 employees
• Tone: warm (assumes inbound signal)
• Output: Salesforce

Cost expectations

• LLM extraction: ~$0.005 per lead
• Web scraping: free (public data)
• LinkedIn enrichment (optional): requires user's own premium account

Typical usage (200 leads/week): $1-2/week total.

Troubleshooting

Empty results for a company?

• Try a different domain format (e.g., stripe.com vs Stripe Inc.)
• Add the company to a manual-review list

Email patterns too generic?

• Enable LinkedIn enrichment (requires user cookies)
• Use Hunter.io API as fallback (paid)

Outreach drafts too similar?

• Add company-specific context (recent news, tech stack)
• Use --tone referral for more authentic voice

See also

• references/tone-guide.md — outreach tone customization
• references/icp-templates.md — pre-built ICP definitions
• references/crm-integration.md — HubSpot/Pipedrive/Salesforce setup
• references/compliance.md — GDPR/CAN-SPAM compliance notes