dotloop 1.1.0

Python wrapper for Dotloop API - Real estate transaction management and document handling

Dotloop Python API Wrapper

A comprehensive Python wrapper for the Dotloop API v2, providing easy access to real estate transaction management and document handling functionality.

Features

• Complete API Coverage: Implements all major Dotloop API endpoints
• Type Safety: Full type hints and Pydantic validation
• Error Handling: Comprehensive exception handling with detailed error messages
• Easy to Use: Intuitive client interface with method chaining
• Well Documented: Extensive docstrings and examples
• Testing: 100% test coverage with pytest

Installation

pip install dotloop-api

Quick Start

from dotloop import DotloopClient, TransactionType, LoopStatus

# Initialize the client
client = DotloopClient(api_key="your_api_key")

# Or use environment variable DOTLOOP_API_KEY
client = DotloopClient()

# Get account information
account = client.account.get_account()
print(f"Account: {account['data']['firstName']} {account['data']['lastName']}")

# List profiles
profiles = client.profile.list_profiles()
for profile in profiles['data']:
    print(f"Profile: {profile['name']}")

# Create a new loop
loop = client.loop_it.create_loop(
    name="123 Main St Property",
    transaction_type=TransactionType.PURCHASE_OFFER,
    status=LoopStatus.PRE_OFFER,
    profile_id=123,
    street_number="123",
    street_name="Main St",
    city="San Francisco",
    state="CA",
    zip_code="94105"
)

Authentication

The Dotloop API uses OAuth 2.0 Bearer tokens for authentication. You can obtain an access token through the OAuth flow and then use it with this wrapper.

Setting up Authentication

1. Environment Variable (Recommended):

   export DOTLOOP_API_KEY="your_access_token"
   

2. Direct Parameter:

   client = DotloopClient(api_key="your_access_token")
   

Available Endpoints

Account

• client.account.get_account() - Get current account details

Profiles

• client.profile.list_profiles() - List all profiles
• client.profile.get_profile(profile_id) - Get profile by ID
• client.profile.create_profile(...) - Create a new profile
• client.profile.update_profile(profile_id, ...) - Update profile

Loops

• client.loop.list_loops(profile_id, ...) - List loops for a profile
• client.loop.get_loop(profile_id, loop_id) - Get loop by ID
• client.loop.create_loop(profile_id, ...) - Create a new loop
• client.loop.update_loop(profile_id, loop_id, ...) - Update loop

Loop-It (Simplified Loop Creation)

• client.loop_it.create_loop(...) - Create loop with property and participant data

Contacts

• client.contact.list_contacts() - List all contacts
• client.contact.get_contact(contact_id) - Get contact by ID
• client.contact.create_contact(...) - Create a new contact
• client.contact.update_contact(contact_id, ...) - Update contact
• client.contact.delete_contact(contact_id) - Delete contact

Examples

Creating a Complete Real Estate Transaction

from dotloop import DotloopClient, TransactionType, LoopStatus, ParticipantRole

client = DotloopClient()

# Create a comprehensive loop with property and participants
loop = client.loop_it.create_loop(
    name="John Doe - 456 Oak Avenue",
    transaction_type=TransactionType.PURCHASE_OFFER,
    status=LoopStatus.PRE_OFFER,
    profile_id=123,
    
    # Property information
    street_number="456",
    street_name="Oak Avenue",
    city="Los Angeles",
    state="CA",
    zip_code="90210",
    
    # Participants
    participants=[
        {
            "fullName": "John Doe",
            "email": "[e-mail]",
            "role": ParticipantRole.BUYER.value
        },
        {
            "fullName": "Jane Smith",
            "email": "[e-mail]",
            "role": ParticipantRole.BUYING_AGENT.value
        },
        {
            "fullName": "Bob Johnson",
            "email": "[e-mail]",
            "role": ParticipantRole.LISTING_AGENT.value
        }
    ],
    
    # Optional MLS information
    mls_property_id="ML123456",
    template_id=1001
)

print(f"Created loop: {loop['data']['loopUrl']}")

Managing Contacts

# Create a new contact
contact = client.contact.create_contact(
    first_name="Alice",
    last_name="Johnson",
    email="[e-mail]",
    phone="[phone]",
    company="Johnson Realty"
)

# Update the contact
updated_contact = client.contact.update_contact(
    contact_id=contact['data']['id'],
    phone="[phone]",
    company="Johnson Premium Realty"
)

# List all contacts
contacts = client.contact.list_contacts()
for contact in contacts['data']:
    print(f"{contact['firstName']} {contact['lastName']} - {contact.get('email', 'No email')}")

Working with Profiles

# Create a new profile
profile = client.profile.create_profile(
    name="My Real Estate Business",
    company="ABC Realty",
    phone="[phone]",
    address="123 Business Ave",
    city="New York",
    state="NY",
    zip_code="10001"
)

# List loops for this profile
loops = client.loop.list_loops(
    profile_id=profile['data']['id'],
    batch_size=50,
    sort="updated:desc",
    include_details=True
)

Error Handling

The wrapper provides comprehensive error handling with specific exception types:

from dotloop import DotloopClient
from dotloop.exceptions import (
    AuthenticationError,
    NotFoundError,
    ValidationError,
    RateLimitError
)

client = DotloopClient()

try:
    account = client.account.get_account()
except AuthenticationError:
    print("Invalid or expired API token")
except NotFoundError:
    print("Resource not found")
except ValidationError as e:
    print(f"Invalid parameters: {e}")
except RateLimitError:
    print("Rate limit exceeded, please wait")

Enums and Constants

The wrapper provides enums for common values:

from dotloop import (
    TransactionType,
    LoopStatus,
    ParticipantRole,
    SortDirection
)

# Transaction types
TransactionType.PURCHASE_OFFER
TransactionType.LISTING_FOR_SALE
TransactionType.PURCHASED
TransactionType.SOLD

# Loop statuses
LoopStatus.PRE_OFFER
LoopStatus.UNDER_CONTRACT
LoopStatus.SOLD
LoopStatus.ARCHIVED

# Participant roles
ParticipantRole.BUYER
ParticipantRole.SELLER
ParticipantRole.LISTING_AGENT
ParticipantRole.BUYING_AGENT

Development

Setting up Development Environment

# Clone the repository
git clone https://github.com/your-org/dotloop-python.git
cd dotloop-python

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements-dev.txt

# Run tests
pytest

# Run tests with coverage
pytest --cov=dotloop --cov-report=html

Running Tests

# Run all tests
pytest

# Run with coverage
pytest --cov=dotloop

# Run specific test file
pytest tests/test_account.py

# Run with verbose output
pytest -v

API Reference

For detailed API documentation, see the official Dotloop API documentation.

Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

• Documentation: API Documentation
• Issues: GitHub Issues
• Email: [e-mail]

Changelog

v1.0.0

• Initial release
• Complete implementation of core Dotloop API endpoints
• Account, Profile, Loop, Loop-It, and Contact management
• Comprehensive error handling and type safety
• 100% test coverage