app.py

import streamlit as st
import pandas as pd
import requests
import json
import matplotlib.pyplot as plt
import seaborn as sns

st.set_page_config(page_title="PChome 行李箱價格分析", layout="wide")
st.title("🧳 PChome 行李箱爬蟲與價格分析")

keyword = st.text_input("請輸入要搜尋的商品關鍵字", "行李箱")

if st.button("開始爬蟲"):
    with st.spinner("正在抓取資料中，請稍候..."):
        alldata = pd.DataFrame()
        for i in range(1, 2):  # 可調整頁數
            url = f'https://ecshweb.pchome.com.tw/search/v3.3/all/results?q={keyword}&page={i}&sort=sale/dc'
            r = requests.get(url)
            getdata = json.loads(r.content)
            df = pd.DataFrame(getdata['prods'])
            alldata = pd.concat([alldata, df])
        
        df = alldata[["name", "price"]]
        st.success("✅ 抓取完成！")

        st.subheader("📄 前幾筆資料")
        st.dataframe(df.head(10))

        st.subheader("📊 價格統計")
        st.write("平均價格:", df['price'].mean())
        st.write("最高價格:", df['price'].max())
        st.write("最低價格:", df['price'].min())

        st.subheader("📈 價格前 70 筆折線圖")
        fig, ax = plt.subplots(figsize=(12, 6))
        df['price'][:70].plot(ax=ax, marker='o', color='skyblue')
        ax.axhline(y=df['price'].mean(), color='red', linestyle='--', label='平均價')
        ax.set_title(f"{keyword} 前 70 筆價格圖")
        ax.set_xlabel("商品序號")
        ax.set_ylabel("價格")
        ax.legend()
        st.pyplot(fig)

        st.subheader("📉 價格分布直方圖")
        fig2, ax2 = plt.subplots(figsize=(12, 6))
        sns.histplot(df['price'], bins=30, kde=True, ax=ax2)
        ax2.set_title("價格分佈圖")
        ax2.set_xlabel("價格")
        ax2.set_ylabel("商品數量")
        st.pyplot(fig2)