Update app.py

app.py

@@ -3,8 +3,6 @@ from bs4 import BeautifulSoup
 import pandas as pd
 import plotly.graph_objects as go
 import streamlit as st
-from geopy.geocoders import Nominatim
-from geopy.exc import GeocoderServiceError
 
 # 設定應用標題
 st.title("餐廳資料抓取與分析")
@@ -19,51 +17,32 @@ urls = urls_df['網址'].tolist()
 # 初始化一個空的 DataFrame 列表來儲存所有資料
 df_list = []
 
-# 初始化 geolocator
-geolocator = Nominatim(user_agent="restaurant_data_app")
-
 # 迭代每個網址並抓取資料
 for url in urls:
     try:
         response = requests.get(url)
-        response.raise_for_status()
+        response.raise_for_status()  # Raises an HTTPError for bad responses
         soup = BeautifulSoup(response.content, 'html.parser')
 
         # 解析並抓取所需資料
         title_tag = soup.find('h1', class_='restaurant-details__heading--title')
         title = title_tag.text.strip() if title_tag else 'N/A'
-
+        
         address_tag = soup.find('li', class_='restaurant-details__heading--address')
         address = address_tag.text.strip() if address_tag else 'N/A'
-
+        
         phone_tag = soup.find('a', {'data-event': 'CTA_tel'})
         phone = phone_tag['href'].replace('tel:', '') if phone_tag else 'N/A'
-
+        
         description_tag = soup.find('div', class_='restaurant-details__description--text')
         description = description_tag.text.strip() if description_tag else 'N/A'
 
-        # Geocoding the address
-        try:
-            location = geolocator.geocode(address)
-            latitude = location.latitude if location else 'N/A'
-            longitude = location.longitude if location else 'N/A'
-        except GeocoderServiceError:
-            latitude = 'N/A'
-            longitude = 'N/A'
-
         # 將抓取的資料新增到列表中
-        df_list.append({
-            'Title': title,
-            'Address': address,
-            'Phone': phone,
-            'Description': description,
-            'Latitude': latitude,
-            'Longitude': longitude
-        })
-    except requests.HTTPError as http_err:
-        st.error(f"HTTP error occurred for URL {url}: {http_err}")
-    except Exception as err:
-        st.error(f"An error occurred for URL {url}: {err}")
+        df_list.append({'Title': title, 'Address': address, 'Phone': phone, 'Description': description})
+
+    except requests.exceptions.HTTPError as e:
+        print(f"HTTP error occurred for URL {url}: {e}")
+        continue  # Skip to the next URL if there's an error
 
 # 使用 pd.DataFrame() 將所有資料合併成一個 DataFrame
 df = pd.DataFrame(df_list)
@@ -90,4 +69,3 @@ fig_pie.update_layout(title='每個區的商家數量比例')
 # 按鈕來顯示圓餅圖
 if st.button('顯示每個區的商家數量比例圓餅圖'):
     st.plotly_chart(fig_pie)
-