jtricerolph
e05054172f
Combines Booking.com Playwright scraper (from forecasting), direct booking engine scraper (ported from laptop-archive/guestline-monitor), and Newbook own-hotel rates into one focused tool. Four views: Bookability, Market View (with price index badges + direct rate sub-rows), Direct Rates (per-competitor room breakdown, min-stay flags, hotel config/discovery), Rate Analysis (advance purchase curve, DOW chart, rate timeline, comparison table). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
28 lines
839 B
Python
28 lines
839 B
Python
from .guestline import GuestlineProfile
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from .newbook_scrape import NewbookScrapeProfile
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from .travelclick import TravelClickProfile
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from .directbook import DirectBookProfile
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from .base import BaseProfile
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PROFILES = {
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"guestline": GuestlineProfile,
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"newbook_scrape": NewbookScrapeProfile,
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"travelclick": TravelClickProfile,
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"directbook": DirectBookProfile,
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}
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def get_profile(name: str) -> BaseProfile:
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cls = PROFILES.get(name)
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if not cls:
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raise ValueError(f"Unknown engine profile: {name}")
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return cls()
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def detect_profile(url: str) -> dict | None:
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"""Given a booking URL, return suggested profile name and extracted params."""
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for name, cls in PROFILES.items():
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result = cls.detect(url)
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if result is not None:
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return {"profile": name, **result}
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return None
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