删除 q2_1_crawler/q2_1.py
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import requests
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import json
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from bs4 import BeautifulSoup
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def crawl_movies():
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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/91.0.4472.124 Safari/537.36"
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}
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resp = requests.get(url, headers=headers)
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resp.encoding = 'utf-8' # 根据实际编码调整
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html = resp.text
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# 保存原始网页源码
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with open("movies.html", "w", encoding="utf-8") as f:
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f.write(html)
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# 解析 HTML 提取数据
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soup = BeautifulSoup(html, 'html.parser')
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# 示例:数据编号(请根据实际网页结构调整选择器)
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data_id_elem = soup.find('span', id='data-id')
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data_id = data_id_elem.text.strip() if data_id_elem else "unknown"
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# 示例:电影列表(请根据实际网页结构调整选择器)
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movies = []
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movie_elements = soup.find_all('div', class_='movie') # 示例选择器
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for elem in movie_elements:
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# 以下字段提取均为示例,需实际调整
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movie = {
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'id': elem.get('data-id') or elem.find('span', class_='id').text.strip(),
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'title': elem.find('h3', class_='title').text.strip(),
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'director': elem.find('span', class_='director').text.strip(),
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'year': int(elem.find('span', class_='year').text.strip()),
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'rating': float(elem.find('span', class_='rating').text.strip()),
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'duration': int(elem.find('span', class_='duration').text.strip().replace(' min', '')),
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'genre': [g.text.strip() for g in elem.find_all('span', class_='genre')],
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'actors_count': int(elem.find('span', class_='actors_count').text.strip())
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}
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movies.append(movie)
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# 保存 JSON
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result = {
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"data_id": data_id,
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"movies": movies
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}
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with open("movies.json", "w", encoding="utf-8") as f:
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json.dump(result, f, ensure_ascii=False, indent=2)
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print("爬取完成,已生成 movies.html 和 movies.json")
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return result
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if __name__ == "__main__":
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crawl_movies()
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