使用xpath多线程爬取百度贴吧内容
#encoing=utf-8
from lxml import etree
from multiprocessing.dummy import Pool as ThreadPool
import requests
import json
import sys reload(sys) sys.setdefaultencoding('utf-8') '''重新运行之前请删除content.txt,因为文件操作使用追加方式,会导致内容太多。''' def towrite(contentdict):
f.writelines(u'回帖时间:' + str(contentdict['topic_reply_time']) + '\n')
f.writelines(u'回帖内容:' + unicode(contentdict['topic_reply_content']) + '\n')
f.writelines(u'回帖人:' + contentdict['user_name'] + '\n\n') def spider(url):
html = requests.get(url)
selector = etree.HTML(html.text)
content_field = selector.xpath('//div[@class="l_post j_l_post l_post_bright "]')
item = {}
for each in content_field:
reply_info = json.loads(each.xpath('@data-field')[0].replace('"',''))
author = reply_info['author']['user_name']
content = each.xpath('div[@class="d_post_content_main"]/div/cc/div[@class="d_post_content j_d_post_content clearfix"]/text()')[0]
reply_time = reply_info['content']['date']
item['user_name'] = author
item['topic_reply_content'] = content
item['topic_reply_time'] = reply_time
towrite(item) if __name__ == '__main__':
pool = ThreadPool(4)
f = open('content.txt','a')
page = []
for i in range(1,10):
newpage = 'http://tieba.baidu.com/p/3522395718?pn=' + str(i)
page.append(newpage) results = pool.map(spider, page)
pool.close()
pool.join()
f.close()