feat(tradein): yandex_detail.py — Product JSON-LD + DOM detail parser
Stage 4 of YandexRealtyScraper v1 (Wave 4 / Worker A — parallel with
yandex_newbuilding.py and yandex_valuation.py).
Module: app/services/scrapers/yandex_detail.py
- YandexDetailScraper(BaseScraper) — async fetch_detail(offer_url)
- DetailEnrichment Pydantic model (offer_id, price/title/rooms/area/floor,
description, sale_type, views, publish_date, agency block, metro stations,
photos 8 sizes, newbuilding linkage, NLP best-effort fields)
- Helpers: _find_section_text(h2/h3 -> next siblings), _parse_metro_stations,
_extract_relative_date, _extract_seller_name, _parse_title
Price source: Product JSON-LD offers.price (exact int) — falls back to None
if missing. Photos: 8 sizes from Product.image[] array.
NLP: parse_house_type / RE_YEAR / RE_METRO_WALK from description text
(best-effort — None when not present).
Tests: 35 unit tests against hand-crafted fixture HTML. All pass. Ruff clean.
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