Lead Finder

Scrapes Google Maps to find local businesses that have a phone number but no website — ideal prospects for offering web development services.

How it works

1. Searches Google Maps for a business type + location
2. Scrolls through results to collect listings
3. Visits each business page to extract phone, address, website, rating, and category
4. Filters to businesses with a phone but no website
5. Exports leads to CSV or JSON

Setup

pip install -r requirements.txt
playwright install chromium

No API keys needed.

Usage

# Basic (checks 20 businesses)
python find_leads.py -q "taquerias" -l "Tulsa, OK"

# Check more businesses
python find_leads.py -q "barber shops" -l "Memphis, TN" --max 40

# Output as JSON
python find_leads.py -q "auto repair" -l "Omaha, NE" -o leads.json

# Include all businesses (even ones with websites)
python find_leads.py -q "nail salons" -l "Fresno, CA" --all

# Show the browser window (useful for debugging)
python find_leads.py -q "food trucks" -l "Portland, OR" --headed

Output

Generates a leads.csv (default) with these columns:

name	phone	address	category	rating	reviews	google_maps

Options

Flag	Description
-q, --query	Business type to search for (required)
-l, --location	City or area (required)
-m, --max	Max businesses to check (default: 20)
-o, --output	Output file, .csv or .json (default: leads.csv)
--all	Include all businesses, not just ones without websites
--headed	Show the browser window

Best search terms

These business types are most likely to lack a website:

• Food: taquerias, food trucks, bakeries, catering
• Personal care: barber shops, nail salons, hair braiding
• Services: cleaning services, handyman, mobile mechanics, junk removal
• Trades: welders, fencing contractors, concrete work

Smaller cities and suburbs tend to have a higher hit rate than major metros.

Notes

• Each run takes roughly 1-2 minutes per 20 businesses
• Built-in rate limiting between page visits to avoid being blocked
• Uses a stealth headless browser to bypass bot detection