Metadata-Version: 2.4
Name: fast-hotels
Version: 0.2.0
Summary: A fast, simple hotel scraper for Google Hotels, inspired by fast-flights.
Author-email: Jonathan Gan <jg.developor@gmail.com>
License: MIT License
        
        Copyright (c) 2025 Jonathan Gan
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE. 
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: playwright>=1.40.0
Requires-Dist: requests>=2.31.0
Dynamic: license-file

# fast-hotels

A fast, simple hotel scraper for Google Hotels, inspired by fast-flights. Fetches hotel data (name, price, rating, amenities, etc.) using a fast HTTP-based approach with protobuf encoding.

## Features
- Scrape Google Hotels for hotel data using fast HTTP requests
- Simple, synchronous API with protobuf-based filtering
- Returns structured hotel data (name, price, rating, amenities, URL)
- **Sort results by price, rating, or best value (rating/price ratio)**
- **Limit the number of results returned**
- **Support for IATA airport codes as locations (e.g., 'HND' → 'Tokyo')**
- **Multiple fetch modes: common, fallback, force-fallback, local**
- **Automatic location conversion from airport codes to city names**

## Installation

```sh
pip install fast-hotels
```

## Usage

```python
from fast_hotels.hotels_impl import HotelData, Guests
from fast_hotels import get_hotels

hotel_data = [
    HotelData(
        checkin_date="2025-06-23",
        checkout_date="2025-06-25",
        location="Tokyo",  # or use an IATA code like "HND"
        room_type="standard",
        amenities=["wifi", "breakfast"]
    )
]
guests = Guests(adults=2, children=1, infants=0)

# Basic usage
result = get_hotels(
    hotel_data=hotel_data,
    guests=guests,
    room_type="standard",
    amenities=["wifi", "breakfast"],
    fetch_mode="common"
)

for hotel in result.hotels:
    print(f"Name: {hotel.name}")
    print(f"Price: ${hotel.price}")
    print(f"Rating: {hotel.rating}")
    print(f"Amenities: {hotel.amenities}")
    print(f"URL: {hotel.url}")
    print("---")

# Limit results to 5 hotels
result = get_hotels(
    hotel_data=hotel_data,
    guests=guests,
    room_type="standard",
    amenities=["wifi", "breakfast"],
    limit=5
)

# Sort by price (descending)
result = get_hotels(
    hotel_data=hotel_data,
    guests=guests,
    room_type="standard",
    amenities=["wifi", "breakfast"],
    sort_by="price"
)

# Sort by rating (descending)
result = get_hotels(
    hotel_data=hotel_data,
    guests=guests,
    room_type="standard",
    amenities=["wifi", "breakfast"],
    sort_by="rating"
)

# Default sort is by best value (highest rating/price ratio)
result = get_hotels(
    hotel_data=hotel_data,
    guests=guests,
    room_type="standard",
    amenities=["wifi", "breakfast"]
)

# Use an IATA airport code as location
hotel_data = [HotelData(
    checkin_date="2025-06-23", 
    checkout_date="2025-06-25", 
    location="HND",  # Haneda Airport
    room_type="standard",
    amenities=["wifi", "breakfast"]
)]
result = get_hotels(
    hotel_data=hotel_data,
    guests=guests,
    room_type="standard",
    amenities=["wifi", "breakfast"]
)
```

## API

### get_hotels(hotel_data, guests, room_type="standard", amenities=None, fetch_mode="common", limit=None, sort_by=None)
- `hotel_data`: List of `HotelData` objects
- `guests`: `Guests` object (adults, children, infants)
- `room_type`: "standard", "deluxe", or "suite"
- `amenities`: List of preferred amenities (e.g., ["wifi", "breakfast"])
- `fetch_mode`: "common", "fallback", "force-fallback", or "local"
- `limit`: Maximum number of hotels to return (default: all)
- `sort_by`: 'price', 'rating', or None (default: best value, i.e., highest rating/price ratio)
- Returns: `Result` with `.hotels` (list of `Hotel`), `.lowest_price`, and `.current_price`

### Models
- `HotelData`: checkin_date, checkout_date, location (city name or IATA airport code), room_type, amenities
- `Guests`: adults, children, infants
- `Hotel`: name, price, rating, amenities, url
- `Result`: hotels (list of Hotel), lowest_price, current_price

### Fetch Modes
- `"common"`: Use fast HTTP requests (default)
- `"fallback"`: Use HTTP requests, fallback to Playwright if needed
- `"force-fallback"`: Use Playwright directly
- `"local"`: Use local Playwright instance

## Location Support
The library automatically converts IATA airport codes to city names using a comprehensive airport database:
- `"HND"` → `"Tokyo"`
- `"CDG"` → `"Paris"`
- `"JFK"` → `"New York"`
- And many more...

## License
MIT
