Evaluating　typical　rural　characteristics　reveals　certain　advantages　of　rural　revitalization　and　is　crucial　for　understanding　rural　disparities　and　promoting　development.　Field　research　and　statistical　data　can　reflect　the　spatial　distribution　of　local　resources　and　development　models.　However,　due　to　cost　limitations　and　statistical　constraints,　it　is　impossible　to　effectively　compare　and　evaluate　the　characteristics　of　rural　development　at　the　long　time　series,　large　scale　and　fine　granularity　required　for　sustainable　regeneration.　This　study　proposes　a　web-based　method　for　the　extraction　and　evaluation　of　rural　revitalization　characteristics　(WERRC).　The　BERT-BiLSTM-Attention　model　categorizes　rural　web　texts　according　to　five　themes:　industrial　prosperity,　ecological　livability,　rural　civilization,　effective　governance,　and　prosperous　life.　The　Term　Frequency-Inverse　Document　Frequency　(TF-IDF)　algorithm　extracts　rural　characteristics,　and　the　relative　advantages　of　these　features　are　compared　among　100　Chinese　villages.　WERRC　extracts　the　typical　characteristics,　obtains　the　spatial　distribution　and　relative　advantage,　and　then　ranks　them　according　to　the　five　themes.　The　relationship　between　national　policy　guidance　and　rural　development　is　explored.　The　results　support　further　exploration　of　differentiated,　high-quality　development　modes　that　incorporate　rural　advantages　into　policy,　adjust　industrial　structure,　and　optimise　revitalization　strategies　at　the　rural　scale.