Update app.py

app.py

@@ -7,9 +7,28 @@ import gspread
 import plotly.express as px
 
 # Streamlit UI 標題
-st.title("Booking.com 數據抓取和視覺化展示")
+st.title("Booking.com 多項目數據抓取和視覺化展示")
 
-# Step 1: 抓取 Booking.com 數據
+# Step 1: 多 URL 抓取 Booking.com 數據
+urls = [
+    "https://www.booking.com/hotel/it/appartamento-via-genova-roma.zh-tw.html",
+    "https://www.booking.com/hotel/it/giulia-39-s-coliseum.zh-tw.html",
+    "https://www.booking.com/hotel/it/le-stelle-dell-esquilino.zh-tw.html",
+    "https://www.booking.com/hotel/it/retro-flat-termini.zh-tw.html",
+    "https://www.booking.com/hotel/it/domus-fanti.zh-tw.html",
+    "https://www.booking.com/hotel/it/radiant-retreat-in-esquilino.zh-tw.html",
+    "https://www.booking.com/hotel/it/over-the-roof-top-roma.zh-tw.html",
+    "https://www.booking.com/hotel/it/rome-sweet-home-roma1234.zh-tw.html",
+    "https://www.booking.com/hotel/it/visione-guest-house-via-delle-fratte-36.zh-tw.html",
+    "https://www.booking.com/hotel/it/appartamento-roma-centro-roma5.zh-tw.html"
+]
+
+# 設定 User-Agent
+headers = {
+    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36"
+}
+
+# 抓取每個 URL 的標題和評分
 def fetch_booking_data(url, headers):
     try:
         response = requests.get(url, headers=headers)
@@ -18,9 +37,23 @@ def fetch_booking_data(url, headers):
         rating = soup.find("div", class_="bcdcb105b3 f45d8e4c32 df64fda51b").text.strip()
         return {"標題": title, "評分": rating}
     except Exception as e:
-        st.error(f"Error fetching data: {e}")
+        st.error(f"Error fetching data from {url}: {e}")
         return None
 
+# 逐一處理 URL 並收集數據
+data = []
+for url in urls:
+    result = fetch_booking_data(url, headers)
+    if result:
+        data.append(result)
+
+# 將數據轉換為 DataFrame
+if data:
+    df = pd.DataFrame(data)
+    st.write("抓取到的數據：", df)
+else:
+    st.warning("無法從任何 URL 抓取數據。")
+
 # Step 2: 上傳數據至 Google Sheets
 def upload_to_google_sheet(df, spreadsheet_url, creds_file):
     try:
@@ -35,44 +68,25 @@ def upload_to_google_sheet(df, spreadsheet_url, creds_file):
     except Exception as e:
         st.error(f"Error uploading data: {e}")
 
-# Step 3: 主程式 - 使用 Streamlit UI 設定參數
-url = st.text_input("Booking.com URL", "https://www.booking.com/hotel/it/appartamento-via-genova-roma.zh-tw.html")
+# Google Sheets URL 和金鑰文件上傳
 spreadsheet_url = st.text_input("Google Sheets URL", "https://docs.google.com/spreadsheets/d/1iOzoii9bVAmqlcqnseoqjZBkBuaFcpbIvUxZeRJ2kmk/edit?gid=0#gid=0")
 creds_file = st.file_uploader("上傳 Google API 金鑰檔案", type=["json"])
 
-headers = {
-    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36"
-}
-
-if st.button("抓取數據並上傳至 Google Sheets"):
-    data = fetch_booking_data(url, headers)
-    if data:
-        df = pd.DataFrame([data])
-        st.write("抓取到的數據：", df)
-        if creds_file is not None:
-            upload_to_google_sheet(df, spreadsheet_url, creds_file.name)
-
-# Step 4: 顯示動態數據圖表
-uploaded_file = st.file_uploader("上傳 CSV 數據檔案以生成圖表", type=["csv"])
-if uploaded_file is not None:
-    df = pd.read_csv(uploaded_file)
-    st.write("上傳的數據：", df)
-    
-    if "Date" in df.columns and "Value" in df.columns:
-        fig = px.line(df, x='Date', y='Value', title="動態數據圖")
-        st.plotly_chart(fig)
+# 上傳至 Google Sheets
+if st.button("上傳數據至 Google Sheets") and data:
+    if creds_file is not None:
+        upload_to_google_sheet(df, spreadsheet_url, creds_file.name)
     else:
-        st.error("CSV 檔案需包含 'Date' 和 'Value' 欄位")
+        st.error("請上傳 Google API 金鑰檔案")
 
-# Step 5: 下載字體檔案（可選）
-font_url = st.text_input("字體檔案 URL", "https://example.com/TaipeiSansTCBeta-Regular.ttf")
-font_path = "TaipeiSansTCBeta-Regular.ttf"
-
-if st.button("下載字體檔案"):
-    try:
-        response = requests.get(font_url)
-        with open(font_path, "wb") as f:
-            f.write(response.content)
-        st.success("字體下載成功！")
-    except Exception as e:
-        st.error(f"字體下載失敗：{e}")
+# Step 3: 顯示抓取的數據為動態圖表
+if not df.empty:
+    # 確保評分可以轉換為數字
+    df['評分'] = pd.to_numeric(df['評分'], errors='coerce')
+    
+    # 使用 Plotly 繪製條形圖
+    fig = px.bar(df, x='標題', y='評分', title="Booking.com 評分比較", labels={'標題': '酒店標題', '評分': '評分'})
+    fig.update_layout(xaxis_title="酒店標題", yaxis_title="評分", xaxis_tickangle=-45)
+    st.plotly_chart(fig)
+else:
+    st.warning("無可用數據繪製圖表")