练习下BeautifulSoup,requests库,用python3.3 写了一个简易的豆瓣小爬虫,将爬取的信息在控制台输出并且写入文件中。
上源码:
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#
coding = utf-8
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‘‘‘
my words
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基于python3 需要的库 requests BeautifulSoup
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这个爬虫很基本,没有采用任何的爬虫框架,用requests,BeautifulSoup,re等库。
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这个爬虫的基本功能是爬取豆瓣各个类型的书籍的信息:作者,出版社,豆瓣评分,评分人数,出版时间等信息。
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不能保证爬取到的信息都是正确的,可能有误。
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也可以把爬取到的书籍信息存放在数据库中,这里只是输出到控制台。
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爬取到的信息存储在文本txt中。
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‘‘‘
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import
requests
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from bs4 import BeautifulSoup
13import re
14 15#爬取豆瓣所有的标签分类页面,并且提供每一个标签页面的URL 16def provide_url():
17# 以http的get方式请求豆瓣页面(豆瓣的分类标签页面) 18 responds = requests.get("https://book.douban.com/tag/?icn=index-nav")
19# html为获得响应的页面内容 20 html = responds.text
21# 解析页面 22 soup = BeautifulSoup(html, "lxml")
23# 选取页面中的需要的a标签,从而提取出其中的所有链接 24 book_table = soup.select("#content > div > .article > div > div > .tagCol > tbody > tr > td > a")
25# 新建一个列表来存放爬取到的所有链接 26 book_url_list = []
27for book in book_table:
28 book_url_list.append(‘https://book.douban.com/tag/‘ + str(book.string))
29return book_url_list
30 31#获得评分人数的函数 32def get_person(person):
33 person = person.get_text().split()[0]
34 person = re.findall(r‘[0-9]+‘,person)
35return person
36 37#当detail分为四段时候的获得价格函数 38def get_rmb_price1(detail):
39 price = detail.get_text().split(‘/‘,4)[-1].split()
40if re.match("USD", price[0]):
41 price = float(price[1]) * 6
42elif re.match("CNY", price[0]):
43 price = price[1]
44elif re.match("A$", price[0]):
45 price = float(price[1:len(price)]) * 6
46else:
47 price = price[0]
48return price
49 50#当detail分为三段时候的获得价格函数 51def get_rmb_price2(detail):
52 price = detail.get_text().split(‘/‘,3)[-1].split()
53if re.match("USD", price[0]):
54 price = float(price[1]) * 6
55elif re.match("CNY", price[0]):
56 price = price[1]
57elif re.match("A$", price[0]):
58 price = float(price[1:len(price)]) * 6
59else:
60 price = price[0]
61return price
62 63#测试输出函数 64def test_print(name,author,intepretor,publish,time,price,score,person):
65print(‘name: ‘,name)
66print(‘author:‘, author)
67print(‘intepretor: ‘,intepretor)
68print(‘publish: ‘,publish)
69print(‘time: ‘,time)
70print(‘price: ‘,price)
71print(‘score: ‘,score)
72print(‘person: ‘,person)
73 74 75 76 77#解析每个页面获得其中需要信息的函数 78def get_url_content(url):
79 res = requests.get(url)
80 html = res.text
81 soup = BeautifulSoup(html.encode(‘utf-8‘),"lxml")
82 tag = url.split("?")[0].split("/")[-1] #页面标签,就是页面链接中‘tag/‘后面的字符串 83 titles = soup.select(".subject-list > .subject-item > .info > h2 > a") #包含书名的a标签 84 details = soup.select(".subject-list > .subject-item > .info > .pub") #包含书的作者,出版社等信息的div标签 85 scores = soup.select(".subject-list > .subject-item > .info > div > .rating_nums") #包含评分的span标签 86 persons = soup.select(".subject-list > .subject-item > .info > div > .pl") #包含评价人数的span标签 87 88print("*******************这是 %s 类的书籍**********************" %tag)
89 90#打开文件,将信息写入文件 91 file = open("C:/Users/lenovo/Desktop/book_info.txt",‘a‘) #可以更改为你自己的文件地址 92 file.write("*******************这是 %s 类的书籍**********************" % tag)
93 94#用zip函数将相应的信息以元祖的形式组织在一起,以供后面遍历 95for title,detail,score,person in zip(titles,details,scores,persons):
96try:#detail可以分成四段 97 name = title.get_text().split()[0] #书名 98 author = detail.get_text().split(‘/‘,4)[0].split()[0] #作者 99 intepretor = detail.get_text().split(‘/‘,4)[1] #译者100 publish = detail.get_text().split(‘/‘,4)[2] #出版社101 time = detail.get_text().split(‘/‘,4)[3].split()[0].split(‘-‘)[0] #出版年份,只输出年102 price = get_rmb_price1(detail) #获取价格103 score = score.get_text() if True else""#如果没有评分就置空104 person = get_person(person) #获得评分人数105#在控制台测试打印106 test_print(name,author,intepretor,publish,time,price,score,person)
107#将书籍信息写入txt文件108try:
109 file.write(‘name: %s ‘ % name)
110 file.write(‘author: %s ‘ % author)
111 file.write(‘intepretor: %s ‘ % intepretor)
112 file.write(‘publish: %s ‘ % publish)
113 file.write(‘time: %s ‘ % time)
114 file.write(‘price: %s ‘ % price)
115 file.write(‘score: %s ‘ % score)
116 file.write(‘person: %s ‘ % person)
117 file.write(‘n‘)
118except (IndentationError,UnicodeEncodeError):
119continue120121except IndexError:
122try:#detail可以分成三段123 name = title.get_text().split()[0] # 书名124 author = detail.get_text().split(‘/‘, 3)[0].split()[0] # 作者125 intepretor = ""# 译者126 publish = detail.get_text().split(‘/‘, 3)[1] # 出版社127 time = detail.get_text().split(‘/‘, 3)[2].split()[0].split(‘-‘)[0] # 出版年份,只输出年128 price = get_rmb_price2(detail) # 获取价格129 score = score.get_text() if True else""# 如果没有评分就置空130 person = get_person(person) # 获得评分人数131#在控制台测试打印132 test_print(name, author, intepretor, publish, time, price, score, person)
133#将书籍信息写入txt文件134try:
135 file.write(‘name: %s ‘ % name)
136 file.write(‘author: %s ‘ % author)
137 file.write(‘intepretor: %s ‘ % intepretor)
138 file.write(‘publish: %s ‘ % publish)
139 file.write(‘time: %s ‘ % time)
140 file.write(‘price: %s ‘ % price)
141 file.write(‘score: %s ‘ % score)
142 file.write(‘person: %s ‘ % person)
143 file.write(‘n‘)
144except (IndentationError, UnicodeEncodeError):
145continue146147except (IndexError,TypeError):
148continue149150except TypeError:
151continue152 file
153154 file.write(‘n‘)
155 file.close() #关闭文件156157158#程序执行入口159if__name__ == ‘__main__‘:
160#url = "https://book.douban.com/tag/程序"161 book_url_list = provide_url() #存放豆瓣所有分类标签页URL的列表162for url in book_url_list:
163 get_url_content(url) #解析每一个URL的内容
下面是效果图:
原文:https://www.cnblogs.com/jeavenwong/p/8442833.html
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