57 lines
1.8 KiB
Python
Executable File
57 lines
1.8 KiB
Python
Executable File
#!/usr/bin/env python3
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import io
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import json
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import re
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import requests
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from bs4 import Tag
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from book import Book
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user_agent = 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko)Chrome/50.0.2661.75 Safari/537.36'
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header = {'User-Agent': user_agent}
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def fetch(url, headers, cookies):
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r = requests.get(url, headers=headers, cookies=cookies)
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from bs4 import BeautifulSoup
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import lxml
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bs = BeautifulSoup(r.text, lxml.__name__)
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time = re.match('数据更新于：(.*)', bs.find('span', style='color:#FFF9A8').text).group(1)
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kindle = {'time': time, 'books': []}
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book_items = bs.find_all('div', style='margin-bottom: 0.9em;')
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for book_item in book_items:
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book = Book()
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if isinstance(book_item, Tag):
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a = book_item.find('a')
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min_day = book_item.find('span', title=re.compile('最近在')).get('title')
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book.min_day = re.match('最近在(.*)达到最低价', min_day).group(1)
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if isinstance(a, Tag):
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book.url = 'https' + re.match('http(.*)/ref', a.get('href')).group(1)
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book.title = a.get('title')
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matches = re.match('.*历史均价：￥(.*)，现价：￥(.*)作者：(.*)，评分：(.*)，历史最低价：￥(.*)', book_item.text)
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book.average = matches.group(1)
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book.price = matches.group(2)
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book.author = matches.group(3)
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book.score = matches.group(4)
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book.min = matches.group(5)
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kindle['books'].append(book)
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with io.open('kindle.json', 'w', encoding='utf-8') as f:
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f.write(json.dumps(kindle, default=lambda o: o.__dict__, indent=2, ensure_ascii=False, sort_keys=True))
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if __name__ == '__main__':
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fetch('http://t.bookdna.cn', header, {})
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