话不多说直接上代码：

获取目标网站的大量相关网页链接

if name == 'main':
import ClimbHealthSkyCom

ClimbHealthSkyCom.main()

对链接进行进一步处理，去重

def LinkDeduplication():
print('开始链接去重')
try:
fp = open('secondList.txt', 'r')
linkList = []
line = fp.readline()
while line:
linkList.append(line)
line = fp.readline()
except:
print('未找到相关文件')
# 去重
dealLinkListResult = list(set(linkList))
dealLinkListResult.sort()
# 保存去重后的链接
try:
fp = open('dealLinkListResult.txt', 'a')
except:
print('创建dealLinkListResult.txt失败')
for temp in dealLinkListResult:
fp.write(temp)
print('链接去重结束')

LinkDeduplication()

爬取中国糖尿病网站中糖尿病相关信息链接

author 王耀国

time 2019年12月29日

'''
经过分析，该网站的首页是动态加载内容，并且加载网页的url为http://www.health-sky.com/zhishi/page/？
目前为止不清楚网页的规模大小，也就是不知道？最大时多少
经过分析，首页右侧有几大分类，可以依据其相似格式对网站进行爬取
现在构造一个链接盒子listold[]存放已经爬取过的链接，目前时单线程爬取，以后考虑多线程，一边更新自建的目标网站链接库，一边爬取并解析网页
构造一个二级链接库
'''

import urllib.request
from bs4 import BeautifulSoup
import re
import os

第一步获取原网页 因为网页位动态加载所以需要分析抓取动态网页 经过分析找到了动态加载的链接。

def gethtml(url):
print('正在获取网页')
req = urllib.request.Request(url)
response = urllib.request.urlopen(req)
res = response.read().decode('utf-8')
print('获取网页结束')
return res

利用Beautiful Soup解析网页

def ParsingWebpage(res):
print('正在解析网页')
# 暂存新的链接
secondList = []
# 将新获得的链接保存到文件中
if (os.path.exists('secondList.txt')):
fp2 = open('secondList.txt', 'a')
print("打开已存在的'secondList.txt'")
else:
fp2 = open('secondList.txt', 'w')
print("创建新的'secondList.txt'")
soup = BeautifulSoup(res, "lxml")
# 获取网站的全部指定链接
for linkList in soup.find_all('a',href = re.compile(r"http://www.health-sky.com/.*?.html")):
# print(linkList['href'])
secondList.append(linkList['href'] + "\n")
for temp in secondList:
fp2.write(temp)
fp2.close()
print('解析网页结束')

从此处开始爬取

def main():
print('进入main')
# 参照首页右侧的链接大类分类爬取并保存
firstLink = [] # 原始的链接库
firstLink.append('http://www.health-sky.com/zhishi')
firstLink.append('http://www.health-sky.com/bingyin')
firstLink.append('http://www.health-sky.com/zhengzhuang')
firstLink.append('http://www.health-sky.com/zhiliao')
firstLink.append('http://www.health-sky.com/jiancha')
firstLink.append('http://www.health-sky.com/zhenduan')
firstLink.append('http://www.health-sky.com/bingfazheng')
firstLink.append('http://www.health-sky.com/huli')
firstLink.append('http://www.health-sky.com/yufang')
firstLink.append('http://www.health-sky.com/yiyuan')
firstLink.append('http://www.health-sky.com/yaowu')

# #与之相匹配的正则表达式解析页面获取网页链接
# ListOfRe = []
# ListOfRe.append(' href = re.compile(r"http://www.health-sky.com/zhishi/.*?.html")')
# ListOfRe.append(' href = re.compile(r"http://www.health-sky.com/bingyin/.*?.html")')
# ListOfRe.append(' href = re.compile(r"http://www.health-sky.com/zhengzhuang/.*?.html")')
# ListOfRe.append(' href = re.compile(r"http://www.health-sky.com/zhiliao/.*?.html")')
# ListOfRe.append(' href = re.compile(r"http://www.health-sky.com/jiancha/.*?.html")')
# ListOfRe.append(' href = re.compile(r"http://www.health-sky.com/zhenduan/.*?.html")')
# ListOfRe.append(' href = re.compile(r"http://www.health-sky.com/bingfazheng/.*?.html")')
# ListOfRe.append(' href = re.compile(r"http://www.health-sky.com/huli/.*?.html")')
# ListOfRe.append(' href = re.compile(r"http://www.health-sky.com/yufang/.*?.html")')
# ListOfRe.append(' href = re.compile(r"http://www.health-sky.com/yiyuan/.*?.html")')
# ListOfRe.append(' href = re.compile(r"http://www.health-sky.com/yaowu/.*?.html")')

listOld = []  # 存放已经爬过的链接库
# 判断自建的目标网站链接库是否存在
if (os.path.exists('oldList.txt')):
    fp = open("oldList.txt", 'a')  # 追加新的链接
    print("打开已存在的oldList.txt")
else:
    fp = open("oldList.txt", 'w')
    print("创建新的oldList.txt")
# 根据原始链接库循环爬取
for temp in firstLink:
    print(temp)
    i = 1
    res = gethtml(temp)
    listOld.append(temp)
    while res:
        ParsingWebpage(res)  # 解析网页
        i += 1
        urlTemp = temp + '/page/%d' % i
        print(urlTemp)
        try:
            res = gethtml(urlTemp)
            listOld.append(urlTemp)
        except:
            print('爬取%s结束！共爬取网页%d页' % (urlTemp, i - 1))
            break
for temp in listOld:
    fp.write(temp + "\n")
fp.close()
print('离开main')

爬取根据dealLinkListResult链接库爬取最终结果

from bs4 import BeautifulSoup
import os

if name == 'main':
import ClimbHealthSkyCom

def ClimbFinalResult():
print('进入ClimbFinalResult')
#最终的链接库
linkList = []
linkList.append('Link/LinkOfCauseOfDiabetes.txt')
linkList.append('Link/LinkOfDiabetesCare.txt')
linkList.append('Link/LinkOfDiabetesCheck.txt')
linkList.append('Link/LinkOfDiabetesComplications.txt')
linkList.append('Link/LinkOfDiabetesDiagnosis.txt')
linkList.append('Link/LinkOfDiabetesHospital.txt')
linkList.append('Link/LinkOfDiabetesKnowledge.txt')
linkList.append('Link/LinkOfDiabetesMedication.txt')
linkList.append('Link/LinkOfDiabetesPrevention.txt')
linkList.append('Link/LinkOfDiabetesSymptoms.txt')
linkList.append('Link/LinkOfDiabetesTreatment.txt')
#最终的文档库
contentList = []
contentList.append('content/CententOfCauseOfDiabetes.txt')
contentList.append('content/CententOfDiabetesCare.txt')
contentList.append('content/CententOfDiabetesCheck.txt')
contentList.append('content/CententOfDiabetesComplications.txt')
contentList.append('content/CententOfDiabetesDiagnosis.txt')
contentList.append('content/CententOfDiabetesHospital.txt')
contentList.append('content/CententOfDiabetesKnowledge.txt')
contentList.append('content/CententOfDiabetesMedication.txt')
contentList.append('content/CententOfDiabetesPrevention.txt')
contentList.append('content/CententOfDiabetesSymptoms.txt')
contentList.append('content/CententOfDiabetesTreatment.txt')

# 打开链接库Link
contenNumber = 0
for temp in linkList:
    print(temp)
    print(contenNumber)
    try:
        fp = open(temp, 'r')
        print('打开%s成功'%temp)
    except:
        print('打开%s失败'%temp)

    # 保存网页数据
    if os.path.exists(contentList[contenNumber]):
        print(contentList[contenNumber])
        fpContent = open(contentList[contenNumber], 'a', encoding="utf8")  # 追加新的内容
        print("打开已存在的%s" % contentList[contenNumber])
    else:
        fpContent = open(contentList[contenNumber], 'w', encoding="utf8")
        print("创建新的%s" % contentList[contenNumber])

    #获取网页内容
    temp = fp.readline()
    while temp:
        print(temp)
        try:
            res = ClimbHealthSkyCom.gethtml(temp)
            #print(res)
            # 解析返回结果
            soup = BeautifulSoup(res,'lxml')
            # 获取网页内容
            for content in soup.find('h1'):
                fpContent.write(content.text)
            for content in soup.find_all('article'):
                fpContent.write(content.text)
        except:
            print('获取网页内容失败！')
        temp = fp.readline()
    fp.close()
    fpContent.close()
    contenNumber += 1  # 保持文档与链接的一致性

ClimbFinalResult()
注意最后的链接需要自己分类存放到相应的txt中，然后进行相应的网页最终内容提取