Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import requests
+from bs4 import BeautifulSoup
+from google.oauth2.service_account import Credentials
+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")
+
+# Step 1: 抓取 Booking.com 數據
+def fetch_booking_data(url, headers):
+    try:
+        response = requests.get(url, headers=headers)
+        soup = BeautifulSoup(response.content, "html.parser")
+        title = soup.find("h2", class_="d2fee87262 pp-header__title").text.strip()
+        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}")
+        return None
+
+# Step 2: 上傳數據至 Google Sheets
+def upload_to_google_sheet(df, spreadsheet_url, creds_file):
+    try:
+        scope = ['https://www.googleapis.com/auth/spreadsheets']
+        creds = Credentials.from_service_account_file(creds_file, scopes=scope)
+        gs = gspread.authorize(creds)
+        sheet = gs.open_by_url(spreadsheet_url)
+        worksheet = sheet.get_worksheet(0)
+        worksheet.clear()
+        worksheet.update([df.columns.values.tolist()] + df.values.tolist())
+        st.success("Data uploaded to Google Sheets successfully!")
+    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")
+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)
+    else:
+        st.error("CSV 檔案需包含 'Date' 和 'Value' 欄位")
+
+# 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}")