74 lines
2.5 KiB
Python
74 lines
2.5 KiB
Python
import requests
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import json
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from bs4 import BeautifulSoup
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# 题目强制要求请求头
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url = "https://exam.detr.top/exam-b/movies"
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headers = {
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"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"
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}
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# 仅一次请求，符合题目要求
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resp = requests.get(url, headers=headers)
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resp.encoding = "utf-8"
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html_text = resp.text
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# 保存原始网页 movies.html
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with open("movies.html", "w", encoding="utf-8") as f:
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f.write(html_text)
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print("✅ 已保存网页源码 movies.html")
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# 优先尝试直接解析接口JSON（接口真实返回格式）
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movie_list = []
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data_id = None
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try:
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api_data = json.loads(html_text)
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data_id = api_data.get("data_id")
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movie_list = api_data.get("movies", [])
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print("✅ 识别为JSON接口，直接读取数据")
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except json.JSONDecodeError:
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# 若为HTML表格页面，执行原bs4解析逻辑
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print("识别为HTML表格页面，使用BeautifulSoup解析")
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soup = BeautifulSoup(html_text, "html.parser")
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# 提取页面data_id
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if soup.body and "data-id" in soup.body.attrs:
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data_id = soup.body["data-id"]
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# 提取表格行
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all_tr = soup.find_all("tr")
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for tr in all_tr[1:]:
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td_list = tr.find_all("td")
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if len(td_list) >= 8:
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# 增加类型转换容错
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def safe_int(txt):
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try:
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return int(txt.strip())
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except:
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return 0
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def safe_float(txt):
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try:
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return float(txt.strip())
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except:
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return 0.0
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movie = {
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"id": safe_int(td_list[0].get_text()),
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"title": td_list[1].get_text(strip=True),
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"director": td_list[2].get_text(strip=True),
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"year": safe_int(td_list[3].get_text()),
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"rating": safe_float(td_list[4].get_text()),
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"duration": safe_int(td_list[5].get_text()),
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"genre": td_list[6].get_text(strip=True),
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"actors_count": safe_int(td_list[7].get_text())
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}
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movie_list.append(movie)
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print(f"页面data_id: {data_id}")
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print(f"一共抓取到 {len(movie_list)} 部电影")
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# 组装并保存 movies.json
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save_data = {
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"data_id": data_id,
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"movies": movie_list
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}
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with open("movies.json", "w", encoding="utf-8") as f:
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json.dump(save_data, f, ensure_ascii=False, indent=2)
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print("✅ movies.json 写入完成") |