Python wrapper for Wasatch Front Regional MLS API
Project description
WFRMLS Python Client
A comprehensive Python wrapper for the Wasatch Front Regional MLS (WFRMLS) API, providing easy access to all RESO-certified endpoints.
⚠️ Important Notice
Media, History, and Green Verification endpoints are currently unavailable due to server-side issues (504 Gateway Timeouts and missing entity types). These features have been temporarily disabled until the server issues are resolved.
🚀 Quick Start
from wfrmls import WFRMLSClient
# Initialize client with bearer token
client = WFRMLSClient(bearer_token="your_bearer_token")
# Or use environment variable WFRMLS_BEARER_TOKEN
client = WFRMLSClient()
# Get active properties
properties = client.property.get_properties(
top=10,
filter_query="StandardStatus eq 'Active'"
)
# Get property details
property_detail = client.property.get_property("12345678")
# Get member information
members = client.member.get_active_members(top=10)
# Get office information
offices = client.office.get_active_offices(top=10)
📦 Installation
pip install wfrmls
🔧 Setup
Environment Variables
Create a .env file in your project root:
WFRMLS_BEARER_TOKEN=your_bearer_token_here
Getting Your Bearer Token
- Visit the Vendor Dashboard
- Login to your account
- Navigate to Service Details to retrieve your bearer token
📚 API Reference
Core Resources
- Property - Real estate listings and property data
- Member - Real estate agent information
- Office - Brokerage and office details
- OpenHouse - Open house schedules and events
Service Clients
# Property operations
client.property.get_properties()
client.property.get_property(listing_id)
client.property.search_properties_by_radius(lat, lng, radius)
# Member (agent) operations
client.member.get_members()
client.member.get_member(member_id)
# Office operations
client.office.get_offices()
client.office.get_office(office_id)
# Open house operations
client.openhouse.get_open_houses()
client.openhouse.get_open_house(openhouse_id)
🔍 Advanced Features
OData Query Support
# Field selection
properties = client.property.get_properties(
select=["ListingId", "ListPrice", "StandardStatus"],
top=50
)
# Complex filtering
properties = client.property.get_properties(
filter_query="ListPrice ge 200000 and ListPrice le 500000 and StandardStatus eq 'Active'",
orderby="ListPrice desc"
)
# Include related data
properties = client.property.get_properties(
expand=["Media", "Member"],
top=25
)
Geolocation Search
# Search within radius (miles)
properties = client.property.search_properties_by_radius(
latitude=40.7608, # Salt Lake City
longitude=-111.8910,
radius_miles=10,
additional_filters="StandardStatus eq 'Active'"
)
# Search within polygon area
polygon = [
{"lat": 40.7608, "lng": -111.8910},
{"lat": 40.7708, "lng": -111.8810},
{"lat": 40.7508, "lng": -111.8710},
{"lat": 40.7608, "lng": -111.8910} # Close polygon
]
properties = client.property.search_properties_by_polygon(
polygon_coordinates=polygon,
additional_filters="PropertyType eq 'Residential'"
)
Data Synchronization
from datetime import datetime, timedelta
# Get incremental updates (recommended every 15 minutes)
cutoff_time = datetime.utcnow() - timedelta(minutes=15)
updates = client.property.get_properties(
filter_query=f"ModificationTimestamp gt {cutoff_time.isoformat()}Z"
)
# Track deletions for data integrity
deleted_records = client.deleted.get_deleted(
filter_query="ResourceName eq 'Property'"
)
🏗️ Architecture
The client follows a modular architecture with service separation:
WFRMLSClient
├── property # Property listings
├── member # Real estate agents
├── office # Brokerages/offices
├── openhouse # Open house events
├── lookup # Lookup tables
├── adu # Accessory Dwelling Units
├── deleted # Deletion tracking
└── data_system # API metadata
Note: Media, History, and Green Verification clients are currently disabled due to server-side issues.
⚠️ Error Handling
from wfrmls.exceptions import (
WFRMLSError,
AuthenticationError,
NotFoundError,
RateLimitError
)
try:
property = client.property.get_property("12345678")
except NotFoundError:
print("Property not found")
except RateLimitError:
print("Rate limit exceeded - wait before retrying")
except AuthenticationError:
print("Invalid bearer token")
except WFRMLSError as e:
print(f"API error: {e}")
📊 Utah Grid Address System
The API supports Utah's unique grid address system:
# Standard address: "123 Main Street"
# Grid address: "1300 E 9400 S"
# Grid addresses are automatically detected and handled
properties = client.property.get_properties(
filter_query="StreetName eq '9400 S'"
)
🚦 Rate Limits
- 200 records per request maximum
- 15-minute recommended update frequency for data sync
- Use NextLink pagination for large datasets (more efficient than $skip)
🧪 Development
Setup Development Environment
# Clone repository
git clone https://github.com/theperrygroup/wfrmls.git
cd wfrmls
# Create virtual environment
python -m venv venv
source venv/bin/activate # or venv\Scripts\activate on Windows
# Install development dependencies
pip install -e .[dev]
Running Tests
# Run tests with coverage
pytest --cov=wfrmls --cov-report=html
# Run specific test file
pytest tests/test_property.py
# Run with verbose output
pytest -v
Code Quality
# Format code
black wfrmls tests
isort wfrmls tests
# Lint code
flake8 wfrmls tests
pylint wfrmls
# Type checking
mypy wfrmls
📝 Contributing
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Follow the style guide in
STYLE_GUIDE.md - Ensure 100% test coverage
- Commit changes (
git commit -m 'Add amazing feature') - Push to branch (
git push origin feature/amazing-feature) - Open a Pull Request
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🔗 Links
🆘 Support
For API access issues, contact UtahRealEstate.com support. For library issues, open an issue in this repository.
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