import requests from bs4 import BeautifulSoup def parse_html(num): headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36' } response = requests.get(f'https://book.douban.com/top250?start={num}', headers=headers) soup = BeautifulSoup(response.text, 'lxml') # 书名 all_div = soup.find_all('div', class_='pl2') book_names = [div.find('a')['title'] for div in all_div] # 图书信息 all_p = soup.find_all('p', class_='pl') book_infos = [p.get_text() for p in all_p] # 评分 all_span = soup.find_all('span', class_='rating_nums') book_rates = [span.get_text() for span in all_span] # 简介 all_quote = soup.find_all('span', class_='inq') book_inqs = [quote.get_text() for quote in all_quote] d = '' # 组合 for name, info, rate, inq in zip(book_names, book_infos, book_rates, book_inqs): d = f'{d}书名:{name} 作者:{info} 评分:{rate} 简介:{inq} ======================= ' return d if __name__ == '__main__': data = '' for i in range(0, 250, 25): data = f'{data}{parse_html(i)}' filename = '豆瓣图书Top250.txt' with open(filename, 'w', encoding='utf-8') as f: f.write(data)