题目要求：你需要爬取的是网上书店Books to ScrapeTravel这类书中，所有书的书名、评分、价格三种信息，并且打印提取到的信息。

 

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1 #3、书店寻宝（二） 2 #    题目要求：你需要爬取的是网上书店Books to ScrapeTravel这类书中，所有书的书名、评分、价格三种信息，并且打印提取到的信息。 3 #    网页URL:http://books.toscrape.com/catalogue/category/books/travel_2/index.html 4  5 import requests 6 from bs4 import BeautifulSoup 7 res = requests.get('http://books.toscrape.com/catalogue/category/books/travel_2/index.html') 8 html = res.text 9 soup = BeautifulSoup(html,'html.parser')10 items = soup.find_all('article',class_='product_pod')11 for item in items:12     print(item.find('h3').find('a')['title']+'\t'+item.find('p')['class'][1],'\t',item.find('p',class_='price_color').text)13 #    print(item.find('h3').find('a')['title'])14 #    print(item.find('p')['class'][1])15 #    print(item.find('p',class_='price_color').text)16 17 18 '''19 执行结果如下：20 It's Only the Himalayas Two      £45.1721 Full Moon over Noahâs Ark: An Odyssey to Mount Ararat and Beyond    Four     £49.4322 See America: A Celebration of Our National Parks & Treasured Sites      Three    £48.8723 Vagabonding: An Uncommon Guide to the Art of Long-Term World Travel     Two      £36.9424 Under the Tuscan Sun    Three    £37.3325 A Summer In Europe      Two      £44.3426 The Great Railway Bazaar        One      £30.5427 A Year in Provence (Provence #1)        Four     £56.8828 The Road to Little Dribbling: Adventures of an American in Britain (Notes From a Small Island #2)   One          £23.2129 Neither Here nor There: Travels in Europe       Three    £38.9530 1,000 Places to See Before You Die      Five     £26.0831 '''32 33 '''34 老师的代码35 36 import requests37 from bs4 import BeautifulSoup38 39 res_bookstore = requests.get('http://books.toscrape.com/catalogue/category/books/travel_2/index.html')40 bs_bookstore = BeautifulSoup(res_bookstore.text,'html.parser')41 list_books = bs_bookstore.find_all(class_='product_pod')42 for tag_books in list_books:43 # 找到a标签需要提取两次44     tag_name = tag_books.find('h3').find('a')45 # 这个p标签的class属性有两种："star-rating"，以及具体的几星比如"Two"。我们选择所有书都有的class属性："star-rating"46     list_star = tag_books.find('p',class_="star-rating")47 # 价格比较好找，根据属性提取，或者标签与属性一起都可以48     tag_price = tag_books.find('p',class_="price_color")49 # 这里用到了tag['属性名']提取属性值50     print(tag_name['title'])51 # 同样是用属性名提取属性值52     print('star-rating:',list_star['class'][1])53 # 用list_star['class']提取出来之后是一个由两个值组成的列表，如："['star-rating', 'Two']"，我们最终要提取的是这个列表的第1个值："Two"。54 # 为什么是列表呢？因为这里的class属性有两个值。其实，在这个过程中，我们是使用class属性的第一个值提取出了第二个值。55 # 打印的时候，我加上了换行，为了让数据更加清晰地分隔开，当然你也可以不加。56     print('Price:',tag_price.text, end='\n'+'------'+'\n')57 '''

 

items中每个Tag的内容如下

 

1 
      
        2     
       
         3         
         5     
       
 6     
       
 7          8          9         10         11         12     
13     
       
It's Only the14             Himalayas
15     
       
        16         
        
£45.17
17         
        
18             19 20 21             In stock22 23 24         
25         
        
         26             
         Add to basket27         
        
28     
       
29