Lead Scraper Pro

Overview

Scrapes Google Maps search results for any business category and location. Extracts: business name, address, phone number, website, rating, reviews count, and Google Maps URL. Outputs to CSV/JSON ready for CRM import.

When to use

• Building a lead list for a new city/category
• Weekly lead generation batch jobs
• Market research — how many businesses in a niche?

Prerequisites

• Python 3.8+
• pip install requests beautifulsoup4

Step-by-step

1. Install

pip install requests beautifulsoup4

2. Basic usage

python scripts/scrape-maps.py --query "plumbers in Bangalore" --output leads.csv

3. Advanced usage

# Multiple categories, single location
python scripts/scrape-maps.py \
  --query "real estate agents in Mumbai" \
  --output mumbai-agents.csv \
  --max 200 \
  --format json

# Batch from file
python scripts/scrape-maps.py \
  --input cities.txt \
  --category "dentist" \
  --output all-leads.csv

Output format

name,address,phone,website,rating,reviews,google_maps_url,source
"ABC Dental","MG Road, Mumbai","+91 98765 43210","https://abcdental.com","4.5","127","https://maps.google.com/...","maps"

Pitfalls

• Google rate-limits aggressively — add --delay 5 for 5-second pauses between results
• Use a VPN or proxy for large batches (500+ results)
• Free tier limited to ~200 results per session; upgrade to pro for unlimited

Verification

# Check output file
head -5 leads.csv

# Count results
wc -l leads.csv

# Validate phone numbers
python3 -c "
import csv
with open('leads.csv') as f:
    reader = csv.DictReader(f)
    total = sum(1 for _ in reader)
    print(f'{total} leads collected')
"