因为工作需要，前几天写了一个爬虫，现在把它改良封装得更通用了。

它需要依赖第三方包requests和BeautifuSoup4，请使用pip3安装即可

####################
##
# 一个爬虫，用于在百度百科搜索词条，返回网页内容（以防百度封IP，每秒爬一次）
##
####################
import re
import requests
from bs4 import BeautifulSoup

class webCrawlerBaiduBaike(object):
	"""docstring for webCrawlerBaiduBaike"""
	def __init__(self, url = 'http://baike.baidu.com/search/word'):
		super(webCrawlerBaiduBaike, self).__init__()
		self.url = url


	# input keyword
	# output resquests object
	# url = 'http://baike.baidu.com/search/word'
	def search(self, searchItem):
		word = self.getWordClean(searchItem)
		res = requests.get(self.url, params={'word':word})
		res.encoding = 'utf-8'
		soup = BeautifulSoup(res.text)

		# 查找不到词条，那么对返回的搜索列表进行二次查询
		if res.url[:35] == "http://baike.baidu.com/search/none?":
			for soup in self.findInSuggestList(word, soup):
				yield soup

		# 直接进入词条
		else:
			# isDrug, drugCharacterIncluded = findCharacterFromHtml(soup)
			yield soup


	def getWordClean(self, word):

		word = re.sub("\((.*)\)", "", word)
		word = word.replace(u"", "")
		return word


	# 直接查询不到条目时，百度会返回推荐条目列表。本程序会在推荐条目列表中尝试搜索合适的条目
	def findInSuggestList(self, word, soup):

		linkList = soup.find_all('a',class_ = 'result-title')

		for link in linkList:
			ajdustedItemName = link.text.replace('_百度百科',"")
			iPos = word.find(ajdustedItemName)
			# 找到最可能的匹配条目
			if iPos != -1:
				# 获得该条目的链接
				tmpUrl = link['href']
				res = requests.get(tmpUrl)
				res.encoding = 'utf-8'
				soup = BeautifulSoup(res.text)
				yield soup


# 使用方法 | example for using
if __name__ == '__main__':

	searchItem = input("请输入需要查询的条目：")
	# searchItem = "待搜索的词"

	crawler = webCrawlerBaiduBaike()
	soupIter = crawler.search(searchItem)
	isEmpty = True

	for soup in soupIter:
		text = re.sub(r"(\n)+", r"\n", soup.body.text)
		text = re.sub(r"(\r)+", r"\r", text)
		print(text)
		isEmpty = False

	if isEmpty:
		print("搜索结果为空")