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26062309.py

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+import requests
+import json
+from bs4 import BeautifulSoup
+
+# 请求检测头（题目硬性要求）
+headers = {
+    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
+}
+url = "https://exam.detr.top/exam-b/movies"
+
+response = requests.get(url, headers=headers)
+response.raise_for_status()
+response.encoding = "utf-8"
+
+# 保存网页源码
+with open("movies.html", "w", encoding="utf-8") as f:
+    f.write(response.text)
+
+# 解析表格数据
+soup = BeautifulSoup(response.text, "html.parser")
+table = soup.find("table")
+tr_rows = table.find_all("tr")[1:]
+
+movie_list = []
+for row in tr_rows:
+    cell = row.find_all("td")
+    info = {
+        "id": int(cell[0].text.strip()),
+        "title": cell[1].text.strip(),
+        "director": cell[2].text.strip(),
+        "year": int(cell[3].text.strip()),
+        "rating": float(cell[4].text.strip()),
+        "duration": int(cell[5].text.strip()),
+        "genre": cell[6].text.strip(),
+        "actors_count": int(cell[7].text.strip())
+    }
+    movie_list.append(info)
+
+# 提取页面数据编号
+data_code = soup.find("code").get_text(strip=True)
+result = {
+    "data_id": data_code,
+    "movies": movie_list
+}
+
+# 写入JSON文件
+with open("movies.json", "w", encoding="utf-8") as f:
+    json.dump(result, f, ensure_ascii=False, indent=4)
+
+print("✅ 爬取完成，两个文件已正常生成")