xvideos SSR's JSON-LD VideoObject (duration/title/uploadDate) + on-page /models/ (perf)
+ /tags/. Sample: median ~10.5min, 93% >=3min. Pilot (2 pages): 29 new, 100% playable +
visible + tagged (performers sparse — xvideos 'new' is amateur-heavy; /models/ tagged
mostly on studio rips).
- XVideosBrowseScraper (JSON-LD + page-parse models/tags), in ALL_BROWSE_SCRAPERS.
- deep_crawl._PAGE_CAP: per-sitetag depth cap; xvideoscom=1800 (~newest 50k). At the cap
the tube is marked exhausted (reset -> incremental re-sweep) so a mega-tube cannot
monopolize the round-robin or balloon the DB.
- ported yesporn.py into the public repo (was prod-only, like hdporngg) ending the
__init__ public/prod divergence.
youporn rejected: JSON-LD lacks actor/keywords, its /pornstar//category/ links are A-Z
nav not scene-specific. xhamster: 429/Cloudflare from the VPS IP.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
porntrex/hqporner rejected for deep-crawl: KVS sites with no SSR metadata (77% of
existing porntrex has no duration -> invisible under the app's >=60 filter). eporner
instead exposes a public JSON API (api/v2/video/search) returning title + length_sec
+ keywords + added per video; ~100k videos, ~100/page, no per-scene detail fetch.
- BaseBrowseScraper.crawl_page(page): factored out of latest_scenes; returns None
(transient fail) / [] (catalog end) / [scenes]. API subclasses override it.
- deep_crawl drives via crawl_page (supports HTML-listing AND API sources).
- EpornerApiScraper: crawl_page hits the eporner API -> RawScene with duration+tags+
date+thumb+playback; registered in ALL_BROWSE_SCRAPERS.
- Pilot (2 API pages): 192 new, 100% playable + tagged + visible (>=60); the <180s
trailer filter dropped 6 short clips.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
We ingested only ~3% of each browse tube's catalog (porndoe >62k scenes; we had 1959)
because tubes were hit only by performer-search + top-N browse. Pilot (porndoe pages
64-110): 1119 new scenes, 100% playable + 100% tagged, 0% canonical overlap (purely
additive — content not in TPDB/StashDB).
- app/scheduler/deep_crawl.py: round-robin over ALL_BROWSE_SCRAPERS, per-tube page cursor
in app/_state/deepcrawl_state.json (no DB migration), deep-paginate from the cursor,
idempotent (resolver skips known by raw_hash), mark 'exhausted' at catalog end then
reset cursors for an incremental re-sweep.
- _job_deep_crawl: hourly, 60 pages/run (~1860 scenes, ~22 min), wrapped in the 1h
hard-timeout; registered in build_scheduler (jobs=10).
- config: sched_deep_crawl_hours=1, deep_crawl_pages_per_run=60, deepcrawl_state_path.
- scripts/pilot_porndoe_deepcrawl.py: one-off pilot used to validate the approach.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
