爬虫当当网前500书籍
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import requests import re import json def request_dandan(url): try: response = requests.get(url) if response.status_code == 200: return response.text except requests.RequestException: return None def parse_result(html): pattern = re.compile(‘<li>.*?list_num.*?(\d+).</div>.*?<img src="(.*?)".*?class="name".*?title="(.*?)">.*?class="star">.*?class="tuijian">(.*?)</span>.*?class="publisher_info">.*?target="_blank">(.*?)</a>.*?class="biaosheng">.*?<span>(.*?)</span></div>.*?<p><span\sclass="price_n">¥(.*?)</span>.*?</li>‘,re.S) items = re.findall(pattern,html) for item in items: yield { ‘range‘: item[0], ‘iamge‘: item[1], ‘title‘: item[2], ‘recommend‘: item[3], ‘author‘: item[4], ‘times‘: item[5], ‘price‘: item[6] } def write_item_to_file(item): print(‘开始写入数据 ====> ‘ + str(item)) with open(‘book.txt‘, ‘a‘, encoding=‘UTF-8‘) as f: f.write(json.dumps(item, ensure_ascii=False) + ‘\n‘) f.close() def main(page): url = ‘http://bang.dangdang.com/books/fivestars/01.00.00.00.00.00-recent30-0-0-1-‘ + str(page) html = request_dandan(url) items = parse_result(html) # 解析过滤我们想要的信息 for item in items: write_item_to_file(item) if __name__ == "__main__": for i in range(1,26): main(i)
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