本章将从Python案例讲起：所使用bs4做一个简单的爬虫案例，更多内容请参考:Python学习指南

案例：使用BeautifulSoup的爬虫

我们已腾讯社招页面来做演示：http://hr.tencent.com/position.php?&start=10#a

使用BeautifulSoup4解析器，将招聘网页上的职位名称、职位类别、招聘人数、工作地点、时间、以及每个职位详情的点击链接存储出来。

#-*- coding:utf-8 -*-from bs4 import BeautifulSoupimport urllib2
import urllib
import json   #使用json格式存储def tencent():url = "http://hr.tencent.com/"request = urllib2.Request(url+"position.php?&start=10#a")response = urllib2.urlopen(request)resHtml = response.read()output = open('tencent.json', 'w')html = BeautifulSoup(resHtml, 'lxml')#创建CSS选择器result = html.select('tr[class="even"]')result2 = html.select('tr[class="odd"]')result += result2print(result)items = []for site in result:item = {}name = site.select('td a')[0].get_text()dataLink = site.select('td a')[0].attrs['href']catalog = site.select('td')[1].get_text()recruitNumber = site.select('td')[2].get_text()workLocation = site.select('td')[3].get_text()publishTime = site.select('td')[4].get_text()item['name'] = nameitem['datailLink'] = url + dataLinkitem['catalog'] = catalogitem['recruitNumber'] = recruitNumberitem['publishTime'] = publishTimeitems.append(item)#禁用ascii编码，按utf-8编码line = json.dumps(items, ensure_ascii = False)output.write(line.encode('utf-8'))output.close()if __name__ == '__main__':tencent()