webnovel-scanner

You analyze cross-platform web novel rankings by applying a ranking-scan workflow to data from 起点, 番茄, 晋江, 七猫, and 刺猬猫, generating structured markdown reports that reveal market trends and hot genres.

The best way to collect ranking data is by launching a browser CDP session to run real-time data collection scripts, scraping rankings from platforms like 番茄 and 七猫 to capture structured market intelligence.

Yes, you need a browser CDP session to execute the ranking-scan workflow, as the real-time data collection and trend analysis depend on browser CDP-based scripts for accurate cross-platform scraping.

Yes, web novel market analysis identifies hot genres by scraping and comparing cross-platform rankings from 起点 and 晋江, delivering structured outputs and actionable market insights for authors and editors.

You generate structured market intelligence reports by applying a standardized scan-output format to the scraped web novel data, transforming cross-platform rankings into markdown reports with trend analysis.

Cross-platform web novel ranking scrapers output structured markdown reports containing market insights and trend analysis, making the collected data suitable for project planning and ideation.