gmaps-leads

name: gmaps-leads description: Scrape Google Maps for B2B leads with deep website enrichment and contact extraction. Use when user asks to find local businesses, scrape Google Maps, generate contractor lists, or build local service business databases. allowed-tools: Bash, Read, Write, Edit, Glob, Grep

Google Maps Lead Generation

Goal

Generate high-quality B2B leads from Google Maps with deep contact enrichment by scraping websites and using Claude to extract structured contact data.

Inputs

Scripts

• ./scripts/gmaps_lead_pipeline.py - Main orchestration
• ./scripts/gmaps_parallel_pipeline.py - Parallel version
• ./scripts/scrape_google_maps.py - Google Maps scraper
• ./scripts/extract_website_contacts.py - Website contact extractor
• ./scripts/update_sheet.py - Google Sheets sync

Process

Basic Usage

# Create new sheet with 10 leads
python3 ./scripts/gmaps_lead_pipeline.py --search "plumbers in Austin TX" --limit 10

# Append to existing sheet (recommended for building database)
python3 ./scripts/gmaps_lead_pipeline.py --search "dentists in Miami FL" --limit 25 \
  --sheet-url "https://docs.google.com/spreadsheets/d/..."

# Higher volume
python3 ./scripts/gmaps_lead_pipeline.py --search "roofing contractors in Austin TX" \
  --limit 50 --workers 5

Pipeline Steps

1. Google Maps Scrape - Apify compass/crawler-google-places returns listings
2. Website Scraping - Fetches main page + up to 5 contact pages
3. Web Search Enrichment - DuckDuckGo search for owner contact info
4. Claude Extraction - Claude 3.5 Haiku extracts structured contacts
5. Google Sheet Sync - Appends new leads, deduplicates by lead_id

Output Schema (36 fields)

Business Basics: business_name, category, address, city, state, zip_code, phone, website, rating, review_count

Extracted Contacts: emails, additional_phones, business_hours

Social Media: facebook, twitter, linkedin, instagram, youtube, tiktok

Owner Info: owner_name, owner_title, owner_email, owner_phone, owner_linkedin

Team Contacts: JSON array of team members

Metadata: lead_id, scraped_at, search_query, pages_scraped, enrichment_status

Cost

For 100 leads: ~$1.50-2.50 total

Troubleshooting

• "No businesses found": Include location in query
• 403 Forbidden: ~10-15% of sites block scrapers (handled gracefully)
• Auth issues: Delete token.json and re-authenticate
• Duplicates: Uses lead_id (MD5 of name|address) for deduplication

Environment

APIFY_API_TOKEN=your_token
ANTHROPIC_API_KEY=your_key