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>

backend/jobs/scrape_direct_rates.py

@@ -0,0 +1,43 @@
+"""
+Daily job: scrape all enabled direct competitor hotels.
+Hotels are scraped sequentially — the scraper enforces 10s delays per date
+to avoid rate-limiting, so concurrent scraping is not beneficial.
+"""
+import logging
+from sqlalchemy import text
+
+from database import SyncSessionLocal
+from services.direct_scraper import run_scrape
+
+log = logging.getLogger(__name__)
+
+
+def run_scrape_all_direct():
+    db = SyncSessionLocal()
+    try:
+        rows = db.execute(
+            text("""SELECT id, name, profile_name, params
+                    FROM direct_competitor_hotels
+                    WHERE scrape_enabled = true
+                    ORDER BY id""")
+        ).mappings().fetchall()
+    finally:
+        db.close()
+
+    if not rows:
+        log.info("No direct competitor hotels enabled for scraping")
+        return
+
+    log.info(f"Starting direct rate scrape for {len(rows)} hotels")
+    for hotel in rows:
+        try:
+            log.info(f"Scraping {hotel['name']} ({hotel['profile_name']})")
+            run_scrape(
+                hotel_id=hotel["id"],
+                profile_name=hotel["profile_name"],
+                params=hotel["params"],
+            )
+        except Exception as e:
+            log.error(f"Direct scrape failed for hotel {hotel['id']} ({hotel['name']}): {e}")
+
+    log.info("Direct rate scrape complete")