Commit graph

6 commits

Author SHA1 Message Date
38b0c36923 Use text-search approach for rate conditions (breakfast/cancel/payment)
Original scrapy approach: extract <li> condition lines from each rate plan row
and text-search for known keywords. No match = null (unknown), not assumed false.

Adds breakfast_text, cancel_text, payment_text columns to booking_com_rates.
Booleans now nullable (null = not mentioned, true/false = explicit signal).

JS extraction searches all <li> items in the row (falls back to newline-split
innerText if none). Breakfast: 'breakfast' keyword. Cancel: 'free cancellation',
'non-refundable', 'total cost to cancel', 'fully chargeable'. Payment: 'no
prepayment', 'pay at the property', 'pay online'. data-fltrs used as fallback.

API snapshot endpoint now returns breakfast/cancel/payment text strings. Old
boolean-only rows degrade gracefully to derived labels.

Modal plan rows replace the fixed meal|cancel|price column layout with a single
stacked conditions cell: 0-3 lines depending on what the page actually shows.
Breakfast green when 'included', cancel green when 'Free cancellation…'.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-07-14 18:10:00 +00:00
bb37fcf501 Add hotel-page scraper backend with full room/rate plan extraction
Switches booking.com scraping from search-results page (Cloudflare-targeted)
to individual hotel property pages (not CF-protected). Each page load returns
all room types, all rate plan variants (room-only/B&B × refundable/non-ref ×
1-2 adults), and availability counts.

Key changes:
- New PlaywrightHotelPageBackend: proxy reuse until block, rotate on CF/WAF
- booking_scraper.py: _run_hotel_page_scrape(), scrape_hotel_date(),
  _scrape_hotels_concurrent() — sharded by hotel so one proxy session covers
  all dates for one hotel (looks human)
- schema.sql: ADD COLUMN rate_plan_id, max_persons on booking_com_rates
- competitors API: filter max_persons=2, order by rate_gross ASC as tiebreaker
  so DISTINCT ON returns cheapest 2-adult rate from latest batch

Enable via Settings → Scraper Backend → playwright_hotel_page

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-07-09 23:08:03 +00:00
579a189cb8 Use pasted Booking.com search URL to pin scrape destination
The location_search_url column existed but was dead — the scraper always
rebuilt the URL from the free-text location name. Now the Location
Configuration form takes a "Booking.com search URL" field: paste the
address-bar URL from a real search and the scraper lifts ss/dest_id/
dest_type from it (the most reliable destination pin). Falls back to
dest_id, then plain name. Server also extracts dest_id from the URL for
the column and derives a display name from ss when none is typed.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-05 22:00:28 +00:00
9e5728efb1 Pin Booking.com search to a dest_id
Free-text ss= destination resolution is non-deterministic: tonight's
30-day run resolved "Stow on the Wold" to St. Wolfgang, Austria for 8 of
30 dates, saving Salzkammergut hotel rates into the matrix. dest_id +
dest_type=city in the search URL pins the destination.

- booking_scrape_config gains a dest_id column (idempotent ALTER)
- scrape_location_search/_build_search_url thread dest_id through
- /config/location accepts dest_id

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-05 21:49:57 +00:00
218b2f45f6 Scraper: don't flag not_listed from partial scrapes
A page-load timeout was logged and skipped, so a scrape could 'succeed'
with only page 1 of results — and the not_listed flagging then marked
every page-2 hotel absent, suppressing their last known rates.

- ScraperResult now tracks pages_requested/pages_ok
- scrape_date skips not_listed flagging when pages failed or when the
  scrape saw <60% of the date's 7-day coverage baseline; scraped rates
  are still saved, unseen hotels keep last known rate + scrape time

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-05 15:29:06 +00:00
e05054172f Add Rate Monitor app — Booking.com + direct booking engine competitor rates
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>
2026-07-05 12:06:30 +00:00