完成作业
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96
33ljh.py
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96
33ljh.py
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import requests
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from bs4 import BeautifulSoup
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import json
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import csv
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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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movies = []
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for start in range(0, 250, 25):
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url = f'https://movie.douban.com/top250?start={start}'
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response = requests.get(url, headers=headers)
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response.encoding = 'utf-8'
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soup = BeautifulSoup(response.text, 'html.parser')
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for item in soup.find_all('div', class_='item'):
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title_tag = item.find('span', class_='title')
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if title_tag:
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title = title_tag.text
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else:
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title = "未找到标题"
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print(f"在这个item里没找到标题: {item}")
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other_tag = item.find('span', class_='other')
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other_title = other_tag.text.replace('/', '').strip() if other_tag else ""
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info_tag = item.find('p', class_='')
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info = info_tag.text.strip() if info_tag else ""
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playable_tag = item.find('span', class_='playable')
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if playable_tag:
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year_tag = playable_tag.find_previous_sibling('span', class_='year')
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year = year_tag.text.strip('()') if year_tag else "未知年份"
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else:
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year_tag = item.find('span', class_='year')
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year = year_tag.text.strip('()') if year_tag else "未知年份"
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rating_tag = item.find('span', class_='rating_num')
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rating = rating_tag.text if rating_tag else "0.0"
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people_tag = item.find('div', class_='star').find_all('span')[-1]
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people_count = people_tag.text.replace('人评价', '').strip() if people_tag else "0"
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quote_tag = item.find('span', class_='inq')
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quote = quote_tag.text if quote_tag else "暂无短评"
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director = ""
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actors = ""
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if '导演:' in info:
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director_part = info.split('导演:')[1].split('主演:')
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director = director_part[0].strip()
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if len(director_part) > 1:
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actors = director_part[1].split('/')[0].strip()
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movie = {
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'中文名': title,
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'英文名': other_title,
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'年份': year,
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'导演': director,
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'主演': actors,
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'评分': rating,
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'评价人数': people_count,
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'精选短评': quote
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}
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movies.append(movie)
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with open('movies.txt', 'w', encoding='utf-8') as f:
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f.write("中文名\t英文名\t年份\t导演\t主演\t评分\t评价人数\t精选短评\n")
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for movie in movies:
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f.write(f"{movie['中文名']}\t{movie['英文名']}\t{movie['年份']}\t{movie['导演']}\t{movie['主演']}\t{movie['评分']}\t{movie['评价人数']}\t{movie['精选短评']}\n")
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with open('movies.csv', 'w', encoding='utf-8', newline='') as f:
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writer = csv.DictWriter(
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f,
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fieldnames=['中文名', '英文名', '年份', '导演', '主演', '评分', '评价人数', '精选短评']
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)
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writer.writeheader()
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writer.writerows(movies)
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with open('movies.json', 'w', encoding='utf-8') as f:
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json.dump(movies, f, ensure_ascii=False, indent=4)
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print("爬取完成! 已生成 movies.txt, movies.csv, movies.json")
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