Agent skill
geocoder
Convert addresses to coordinates (geocoding) and coordinates to addresses (reverse geocoding). Use for location data enrichment or address validation.
Stars
163
Forks
31
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/development/geocoder
SKILL.md
Geocoder
Convert between addresses and geographic coordinates.
Features
- Geocoding: Address to coordinates
- Reverse Geocoding: Coordinates to address
- Batch Processing: Process CSV files
- Multiple Providers: Nominatim (free), Google, Bing
- Address Components: Structured address parsing
- Caching: Built-in result caching
Quick Start
python
from geocoder import Geocoder
geo = Geocoder()
# Address to coordinates
result = geo.geocode("1600 Amphitheatre Parkway, Mountain View, CA")
print(f"Coordinates: {result['lat']}, {result['lon']}")
# Coordinates to address
result = geo.reverse(37.4224, -122.0840)
print(f"Address: {result['address']}")
CLI Usage
bash
# Geocode address
python geocoder.py --geocode "Empire State Building, New York"
# Reverse geocode
python geocoder.py --reverse "40.7484,-73.9857"
# Batch geocode CSV
python geocoder.py --input addresses.csv --column address --output geocoded.csv
# Batch reverse geocode
python geocoder.py --input coords.csv --lat lat --lon lon --reverse-batch --output addresses.csv
API Reference
Geocoder Class
python
class Geocoder:
def __init__(self, provider: str = "nominatim", api_key: str = None)
# Single operations
def geocode(self, address: str) -> dict
def reverse(self, lat: float, lon: float) -> dict
# Batch operations
def batch_geocode(self, addresses: list, delay: float = 1.0) -> list
def batch_reverse(self, coordinates: list, delay: float = 1.0) -> list
# File operations
def geocode_csv(self, input: str, column: str, output: str) -> str
def reverse_csv(self, input: str, lat: str, lon: str, output: str) -> str
Providers
Nominatim (Default)
- Free, no API key required
- Rate limited (1 request/second)
- Uses OpenStreetMap data
Google Maps
python
geo = Geocoder(provider="google", api_key="YOUR_KEY")
Bing Maps
python
geo = Geocoder(provider="bing", api_key="YOUR_KEY")
Geocoding Result
python
{
"address": "1600 Amphitheatre Parkway, Mountain View, CA",
"lat": 37.4224764,
"lon": -122.0842499,
"components": {
"house_number": "1600",
"road": "Amphitheatre Parkway",
"city": "Mountain View",
"state": "California",
"postcode": "94043",
"country": "United States"
},
"raw": {...} # Provider-specific data
}
Reverse Geocoding Result
python
{
"lat": 40.7484,
"lon": -73.9857,
"address": "20 W 34th St, New York, NY 10001, USA",
"components": {
"house_number": "20",
"road": "West 34th Street",
"city": "New York",
"state": "New York",
"postcode": "10001",
"country": "United States"
}
}
Example Workflows
Geocode Customer Addresses
python
geo = Geocoder()
result = geo.geocode_csv(
input="customers.csv",
column="shipping_address",
output="customers_geocoded.csv"
)
print(f"Geocoded {result['success']} of {result['total']} addresses")
Validate Addresses
python
geo = Geocoder()
address = "123 Main St, Anytown"
result = geo.geocode(address)
if result:
print(f"Valid: {result['address']}")
print(f"Standardized: {result['components']}")
else:
print("Address not found")
Add Addresses to Coordinates
python
geo = Geocoder()
locations = [
(40.7128, -74.0060),
(34.0522, -118.2437),
(41.8781, -87.6298)
]
for lat, lon in locations:
result = geo.reverse(lat, lon)
print(f"({lat}, {lon}): {result['address']}")
Rate Limiting
Nominatim requires 1 second between requests. The batch functions handle this automatically.
python
# Automatic delay in batch operations
results = geo.batch_geocode(addresses, delay=1.0)
# For paid providers, can reduce delay
geo = Geocoder(provider="google", api_key="KEY")
results = geo.batch_geocode(addresses, delay=0.1)
Error Handling
python
result = geo.geocode("Invalid Address XYZ123")
if result is None:
print("Address not found")
elif result.get('error'):
print(f"Error: {result['error']}")
else:
print(f"Found: {result['address']}")
Dependencies
- geopy>=2.4.0
- pandas>=2.0.0
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