利用requests+BeautifulSoup爬取网页关键信息
一、requests库基础知识
10年积累的成都网站设计、做网站经验,可以快速应对客户对网站的新想法和需求。提供各种问题对应的解决方案。让选择我们的客户得到更好、更有力的网络服务。我虽然不认识你,你也不认识我。但先建设网站后付款的网站建设流程,更有玉山免费网站建设让你可以放心的选择与我们合作。
Requests的方法
requests库的response对象
二、爬取网站所需信息
1.访问网站,如图1-1所示:
图1-1
2.点击子页面,审查网页元素,部分内容如图1-2所示:
图1-2
3.实现代码如下:
#coding:utf-8 import requests from bs4 import BeautifulSoup import xlsxwriter #定义网页内容获取函数GET_HTML_CONTENT def GET_HTML_CONTENT(url): #定义user_agent,模拟浏览器访问网页 user_agent = 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) \ Chrome/63.0.3239.132 Safari/537.36' headers = {'User-Agent':user_agent} r = requests.get(url,headers=headers) #获取网页内容 html_str = r.text return html_str #定义子网页URL获取函数GET_CHILD_URL def GET_CHILD_URL(content): data = BeautifulSoup(content, "html.parser") genre_session = data.find_all('li', attrs={'class': "medium listbox group"}) #定义一个空列表childurl存放类别名称及子网页URL childurl = [] for session in genre_session: elements = session.find_all('h4', attrs={'class': "heading"}) for element in elements: genre = {} genre['name'] = element.find('a').text genre['nextpage'] = element.find('a')['href'] childurl.append(genre) return childurl #定义子网页内容处理函数GET_CHILD_INFO def GET_CHILD_INFO(content,kind): data = BeautifulSoup(content, "html.parser") book_session = data.find_all('ol', attrs={'class': "alphabet fandom index group "}) items = book_session[0].find_all('ul', attrs={'class': "tags index group"}) #定义一个空列表books存放书的类别、名称及评论数 books = [] for item in items: book = {} book['kinds'] = kind book['name'] = item.find('a').text book['reviews'] = item.text.strip().split('\n')[-1].strip().strip('()') books.append(book) return books if __name__ == '__main__': url = 'https://archiveofourown.org/media' content = GET_HTML_CONTENT(url) childurl = GET_CHILD_URL(content) row = 1 col = 0 data = [[u'类别',u'名称',u'评论数']] workbook = xlsxwriter.Workbook("data.xlsx") worksheet = workbook.add_worksheet() worksheet.write_row(0,0,data[0]) for k in childurl: kind = k['name'] nexturl = k['nextpage'] geturl = 'https://archiveofourown.org' + nexturl txt = GET_HTML_CONTENT(geturl) books = GET_CHILD_INFO(txt,kind) for info in books: worksheet.write(row, col, info['kinds']) worksheet.write(row, col + 1, info['name']) worksheet.write(row, col + 2, info['reviews']) row += 1 workbook.close()
4.运行结果如图1-3所示:
图1-3
标题名称:利用requests+BeautifulSoup爬取网页关键信息
网站链接:http://hbruida.cn/article/pjjdso.html