I want a complete crawl of Antiland.com that returns two assets: a machine-readable sitemap containing every publicly accessible room or “club” URL, and a companion clublist with the descriptive metadata that appears on each club’s page (name, description, member count, tags, last-active timestamp and any other popularity signals you can reliably capture). My intention is to run content-popularity analysis on the result, so accuracy and coverage matter more than speed. Please deliver the raw export in whatever intermediate format suits your scraper—JSON or CSV is fine—but wrap it all up with a clear, human-readable report in Markdown. That report should explain the crawl scope, note any sections that were intentionally excluded (e.g. login-gated content), and highlight the clubs that rank highest by the metrics you gathered. Use the language or stack you prefer; Python with Scrapy/BeautifulSoup or a headless browser setup are both acceptable as long as the final data are clean and deduplicated.