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.

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

Parameter	Required	Description
--search	Yes	Search query (e.g., "plumbers in Austin TX")
--limit	No	Max results (default: 10)
--sheet-url	No	Existing sheet to append to
--workers	No	Parallel workers (default: 3)

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

Component	Per Lead
Apify Google Maps	~$0.01-0.02
Claude Haiku	~$0.002
DuckDuckGo/HTTP	Free
Total	~$0.012-0.022

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

---

Schema

Inputs

Name	Type	Required	Description
search	string	Yes	Search query (e.g., 'plumbers in Austin TX')
limit	integer	No	Max results (default: 10)
sheet_url	string	No	Existing sheet to append to
workers	integer	No	Parallel workers (default: 3)

Outputs

Name	Type	Description
sheet_url	string	Google Sheet URL with 36-field lead data
lead_count	integer	Number of leads scraped

Credentials

Name	Source
APIFY_API_TOKEN	.env
ANTHROPIC_API_KEY	.env

Composable With

Skills that chain well with this one: classify-leads, casualize-names, instantly-campaigns, onboarding-kickoff

Cost

$0.012-0.022 per lead