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+import requests
+import re
+import csv
+import json
+
+url = "https://movie.douban.com/top250"
+headers = {
+    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36"
+}
+
+response = requests.get(url, headers=headers)
+html = response.text
+
+pattern = re.compile(
+    r'<em class="">(\d+)</em>.*?'
+    r'<span class="title">(.*?)</span>.*?'
+    r'<span class="other">(.*?)</span>.*?'
+    r'<span class="rating_num".*?>(.*?)</span>.*?'
+    r'<span>(\d+人评价)</span>.*?' 
+    r'<span class="inq">(.*?)</span>?',
+    re.S
+)
+
+movies = pattern.findall(html)[:10]
+
+
+movie_list = []
+for m in movies:
+    rank = m[0]
+    title = m[1]
+    en_title = m[2].replace("/", "").strip()
+    rating = m[3]
+    people = m[4]       
+    quote = m[5] if len(m) > 5 else "" 
+    movie_list.append({
+        "rank": int(rank),
+        "title": title,
+        "en_title": en_title,
+        "rating": rating,
+        "people": people,  
+        "quote": quote     
+    })
+
+with open("movies.txt", "w", encoding="utf-8") as f:
+    for m in movie_list:
+        f.write(m["title"] + " | " + m["quote"] + "\n") 
+print("✅ 练习1完成：已保存中文名+评语到 movies.txt")
+
+with open("movies.csv", "w", encoding="utf-8-sig", newline="") as f:
+    writer = csv.writer(f)
+   
+    writer.writerow(["排名", "中文名", "英文名", "评分", "评价人数", "经典评语"])
+    for m in movie_list:
+        writer.writerow([m["rank"], m["title"], m["en_title"], m["rating"], m["people"], m["quote"]])
+print("✅ 练习2完成：已保存到 movies.csv")
+
+with open("movies.json", "w", encoding="utf-8") as f:
+    json.dump(movie_list, f, ensure_ascii=False, indent=4)
+print("✅ 练习3完成：已保存到 movies.json")
+
+
+
+print("\n--- 练习5：JSON统计 ---")
+with open("movies.json", "r", encoding="utf-8") as f:
+    data = json.load(f)
+
+
+max_movie = max(data, key=lambda x: float(x["rating"]))
+print(f"评分最高：{max_movie['title']}（{max_movie['rating']}分 | {max_movie['people']}）")