Amazon KDP Niche Finder
Researches, ranks, and analyzes Amazon KDP book niches across curated categories using an agent-native CLI and local SQLite database.
Transforms KDP Niche Finder web data into a queryable, offline-capable local SQLite database for Amazon Kindle Direct Publishing (KDP) research. It enables AI agents and self-publishers to rank opportunities across all niche buckets simultaneously, track rising and fading revenue trends over time, evaluate publisher saturation, extract high-frequency title keywords, spot cross-category books, and export shortlists directly into KDP-ready CSV files for streamlined publishing workflows.
主な機能
01Historical drift tracking to identify rising or fading book niches over time
021,970 GitHub stars
03Automated title tokenization to extract high-converting backend keywords
04Publisher saturation and competitor analysis to gauge niche competition levels
05Cross-bucket niche ranking by composite revenue, sales volume, and pricing metrics
06Agent-native JSON formatting, selective field filtering, and CSV export for KDP listings
ユースケース
01Discovering profitable low-content or evergreen book niches with high revenue potential
02Extracting competitor keyword patterns and exporting shortlists for KDP listing optimization
03Tracking week-over-week revenue drift to optimize the timing of new book releases