Анализ трендов на платформах сетевых романов

★ 7.0 · research

story-long-scan is a Claude Code skill that scrapes and analyzes ranking charts from major Chinese web-novel platforms — Qidian, Tomato Novel, Jjwxc, and Qimao — to identify market trends and high-potential genres for long-form fiction writers. It is triggered via `/story-long-scan` or natural queries like "what's trending on Qidian" and collects structured data using dedicated scripts: `qidian-rank-scraper.js` (mobile SSR, no Chrome required by default), `fanqie-rank-scraper.js` (browser-cdp for font obfuscation), and `jjwxc-rank-scraper.js` (list + detail pages). Each platform is analyzed on its own terms — Qidian by subscriptions and monthly votes, Tomato Novel by active-reader counts, Jjwxc by bookmarks and nutrition liquid. The output is a structured scouting report covering genre distribution, emerging trend signals, title patterns, and actionable genre candidates with feasibility notes — aimed at authors who want data-driven decisions before committing to a long serialized project.