Location-search results aren't a fixed hotel set — a sold-out hotel drops
out and its last 'available' rate would remain the latest row for that
date, reading as a live price and skewing market averages. On each
successful per-date scrape, insert a NULL-rate 'not_listed' row for every
active hotel missing from the results (skipped if the parse found nothing,
which indicates scraper fault not absence). Failed/blocked scrapes write
nothing, so genuinely-stale data remains distinguishable by scraped_at.
Also: fix the DOW analysis to pick latest-then-filter so a not_listed
latest row drops the date instead of resurfacing an older rate, and widen
booking_com_id to VARCHAR(255) (some Booking slugs exceed 50 chars).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>