Update app.py

app.py

@@ -1,7 +1,10 @@
 import requests
 from bs4 import BeautifulSoup
 import pandas as pd
-import streamlit as st
+from geopy.geocoders import Nominatim
+
+# 初始化 geopy 的 Nominatim geolocator
+geolocator = Nominatim(user_agent="geoapiExercises")
 
 # 從Google Sheets讀取網址
 sheet_id = "1IywohlfSnpPND45mUZQM8F1r7JNUiZzC9ZyH9jB7ufc"  # 替換為實際的sheet ID
@@ -11,7 +14,7 @@ df_urls = pd.read_csv(f"https://docs.google.com/spreadsheets/d/{sheet_id}/export
 urls = df_urls['URL'].tolist()
 
 # 建立一個空的 DataFrame 來存放所有餐廳的資料
-df = pd.DataFrame(columns=["Store Name", "Address", "Phone", "Description"])
+df = pd.DataFrame(columns=["Store Name", "Address", "Phone", "Description", "Latitude", "Longitude"])
 
 # 迭代處理每個網址
 for url in urls:
@@ -39,16 +42,28 @@ for url in urls:
     except AttributeError:
         description = None
 
+    # 使用 geopy 取得經緯度
+    latitude, longitude = None, None
+    if address:
+        try:
+            location = geolocator.geocode(address)
+            if location:
+                latitude = location.latitude
+                longitude = location.longitude
+        except Exception as e:
+            print(f"Error getting geocode for address {address}: {e}")
+
     # 將每個餐廳的資料轉換為 DataFrame 並使用 pd.concat 合併
     new_row = pd.DataFrame({
         "Store Name": [store_name],
         "Address": [address],
         "Phone": [phone],
-        "Description": [description]
+        "Description": [description],
+        "Latitude": [latitude],
+        "Longitude": [longitude]
     })
 
     df = pd.concat([df, new_row], ignore_index=True)
 
-# 在Streamlit介面中顯示DataFrame
-st.title("餐廳資料表")
-st.dataframe(df)
+# 輸出 DataFrame
+print(df)