diff --git a/app/api/v1/app_valuations/app_valuations.py b/app/api/v1/app_valuations/app_valuations.py
index 2bd7c4f..75faaea 100644
--- a/app/api/v1/app_valuations/app_valuations.py
+++ b/app/api/v1/app_valuations/app_valuations.py
@@ -478,9 +478,47 @@ async def _extract_calculation_params_c(data: UserValuationCreate) -> Dict[str,
     manual_bids: List[float] = None
     # TODO 需要客户确认 三个数值
     expert_valuations = None
-    # 浏览热度分 TODO 需要先确定平台信息
-    daily_browse_volume = 500.0  # 近7日日均浏览量(默认占位) 是否 使用该商品近12个月的链接浏览量？？？
-    collection_count = 50  # 收藏数(默认占位) 无
+    # 浏览热度分 - 优化数据获取逻辑
+    daily_browse_volume = 0  # 默认值
+    
+    # 第一优先级：使用用户填写的该商品近12个月的链接浏览量
+    if hasattr(data, 'link_views') and data.link_views:
+        try:
+            # 尝试将字符串转换为浮点数
+            daily_browse_volume = float(data.link_views)
+        except (ValueError, TypeError):
+            # 如果转换失败，继续使用其他数据源
+            pass
+    
+    # 第二优先级：如果没有link_views，尝试从平台账户数据中获取
+    if daily_browse_volume == 0 and hasattr(data, 'platform_accounts') and data.platform_accounts:
+        try:
+            platform_accounts_data = data.platform_accounts
+            # 获取第一个平台的数据
+            first_platform_key = next(iter(platform_accounts_data))
+            first_platform_data = platform_accounts_data[first_platform_key]
+            # 尝试获取浏览量
+            platform_views = first_platform_data.get("views", "0")
+            daily_browse_volume = float(platform_views)
+        except (ValueError, TypeError, StopIteration, AttributeError):
+            # 如果获取失败，保持默认值
+            daily_browse_volume = 0
+    
+    # 收藏数 - 尝试从平台账户数据中获取
+    collection_count = 0  # 默认值
+    
+    if hasattr(data, 'platform_accounts') and data.platform_accounts:
+        try:
+            platform_accounts_data = data.platform_accounts
+            # 获取第一个平台的数据
+            first_platform_key = next(iter(platform_accounts_data))
+            first_platform_data = platform_accounts_data[first_platform_key]
+            # 尝试获取收藏数
+            platform_likes = first_platform_data.get("likes", "0")
+            collection_count = int(platform_likes)
+        except (ValueError, TypeError, StopIteration, AttributeError):
+            # 如果获取失败，保持默认值
+            collection_count = 0
     # 稀缺性乘数C3 发行量
     circulation = data.scarcity_level or '限量'
 
diff --git a/app/api/v1/calculation/calcuation.py b/app/api/v1/calculation/calcuation.py
index 02026b6..9bf144a 100644
--- a/app/api/v1/calculation/calcuation.py
+++ b/app/api/v1/calculation/calcuation.py
@@ -388,9 +388,31 @@ async def _extract_calculation_params_c(data: UserValuationCreate) -> Dict[str,
     # expert_valuations: 专家估值列表(系统配置)
     transaction_data: Dict = None
     manual_bids: List[float] = None
-    expert_valuations = [random.uniform(0, 1) for _ in range(3)]
+    # expert_valuations = [random.uniform(0, 1) for _ in range(3)]
+    expert_valuations = 0  # 默认 0
     # 浏览热度分 TODO 需要先确定平台信息
-    daily_browse_volume = 500.0 # 近7日日均浏览量(默认占位)
+    # 优化后的多平台数据结构，支持从platform_accounts中提取或使用默认值
+    default_platform_data = {
+        "bilibili": {
+            "account": "default_account",
+            "likes": "100",
+            "comments": "50", 
+            "shares": "20",
+            "views": "500"
+        }
+    }
+    
+    # 如果有平台账户数据，尝试提取浏览量，否则使用默认值
+    if hasattr(data, 'platform_accounts') and data.platform_accounts:
+        platform_accounts_data = data.platform_accounts
+        # 获取第一个平台的数据
+        first_platform_key = next(iter(platform_accounts_data))
+        first_platform_data = platform_accounts_data[first_platform_key]
+        # 尝试获取浏览量，如果没有则使用默认值
+        daily_browse_volume = float(first_platform_data.get("views", "500"))
+    else:
+        daily_browse_volume = 500.0  # 默认值
+    
     collection_count = 50 # 收藏数(默认占位)
     # 稀缺性乘数C3 发行量
     circulation = data.circulation or '限量'
diff --git a/app/utils/calculation_engine/market_value_c/market_value_c.py b/app/utils/calculation_engine/market_value_c/market_value_c.py
index d012b1d..efea7c9 100644
--- a/app/utils/calculation_engine/market_value_c/market_value_c.py
+++ b/app/utils/calculation_engine/market_value_c/market_value_c.py
@@ -76,7 +76,7 @@ class MarketValueCCalculator:
         """
         # 计算市场竞价C1
         market_bidding_c1 = self.market_bidding_calculator.calculate_market_bidding_c1(
-            transaction_data={'weighted_average_price': input_data.get('average_transaction_price', 50000.0)},
+            transaction_data={'weighted_average_price': input_data.get('average_transaction_price', 50000.0)}, # 默认了一个 50000
             manual_bids=input_data.get('manual_bids', [input_data.get('average_transaction_price', 50000.0)]),
             expert_valuations=input_data.get('expert_valuations', [input_data.get('average_transaction_price', 50000.0)])
         )