仝仝仝 发表于 2021-9-8 18:09:06

笔趣阁小说爬取

import lxml
import requests
from bs4 import BeautifulSoup
#爬取小说所有的标题和章节
if __name__=='__main__':
    url = 'https://www.xbiquge.la/13/13959/'
    headers = {
      'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.97 Safari/537.36'
    }

    #对首页数据进行爬取
    page_text1 = requests.get(url=url,headers=headers)
    page_text1.encoding = 'utf-8'
    page_text = page_text1.text
    #print(page_text)
    #在首页中解析出章节的标题和详情页的url
    #1.实例化BeautifulSoup对象,需要将页面源码数据加载到该对象
    soup = BeautifulSoup(page_text,'lxml')
    #解析章节标题和详情页的url
    dd_list = soup.select('.box_con > div > dl > dd')
    print(dd_list)
    fp = open('./shengxu.txt','w',encoding='utf-8')
    for dd in dd_list:
      title = dd.a.string
      detail_url = 'https://www.xbiquge.la/'+dd.a['href']
      #对详情页发起请求,解析出章节内容
      detail_text1 = requests.get(url=detail_url,headers=headers)
      detail_text1.encoding = 'utf-8'
      detail_text = detail_text1.text
      #解析出详情页中相关的章节内容
      detail_soup = BeautifulSoup(detail_text,'lxml')
      div_tag = detail_soup.find('div',id='content')
      #解析到章节的内容
      content = div_tag.text
      fp.write(title+':'+content+'\n')
      print(title,'爬取成功!')
出现如下问题怎么解决呀!Orz
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




仝仝仝 发表于 2021-9-8 20:23:28

第二章 后文明时代 爬取成功!
第三章 青铜昆仑 爬取成功!
第四章 奇树与猛兽 爬取成功!
第五章 花开 爬取成功!
第六章 石盒 爬取成功!
第七章 异变 爬取成功!
第八章 世界变了 爬取成功!
第九章 惊悚 爬取成功!
第十章 剧变 爬取成功!
第十一章 到家 爬取成功!
第十二章 太行神山 爬取成功!
第十三章 不属于此界 爬取成功!
第十四章 牛魔王 爬取成功!
第十五章 神秘呼吸法 爬取成功!
Traceback (most recent call last):
File "D:/jiaoben/HSV-detection--HSV-Range-Find--mole-main/main.py", line 35, in <module>
    content = div_tag.text
AttributeError: 'NoneType' object has no attribute 'text'

错误如上

wp231957 发表于 2021-9-8 20:36:34

仝仝仝 发表于 2021-9-8 20:23
第二章 后文明时代 爬取成功!
第三章 青铜昆仑 爬取成功!
第四章 奇树与猛兽 爬取成功!


看一下第16章,应该是元素构成和其他章不一样

冬雪雪冬 发表于 2021-9-8 23:58:08

触发了反爬机制,每次爬取后间隔几秒。
我也写了一个,爬取几页后就出现你说的问题,加上sleep后就好了。
import requests
from bs4 import BeautifulSoup
import time
url = 'https://www.xbiquge.la/13/13959/'
headers = {
'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.97 Safari/537.36'
}
res = requests.get(url = url, headers = headers)
res.encoding = 'utf-8'
soup = BeautifulSoup(res.text, 'html.parser')
s = soup.find_all('dd')
f= open('mybook.text', 'w', encoding = 'utf-8')
for each in s:
    title = each.a.text
    url = 'https://www.xbiquge.la' + each.a['href']
    res = requests.get(url = url, headers = headers)
    res.encoding = 'utf-8'
    soup = BeautifulSoup(res.text, 'html.parser')
    s1 = soup.find('div', id = 'content')
    f.write('=' * 20 + '\n' + title + '\n' + '=' * 20 + '\n')
    f.write(s1.text + '\n')
    print(title, '爬取成功!')
    time.sleep(2)
f.close()

benyazi 发表于 2021-9-9 00:54:29

加time.sleep

仝仝仝 发表于 2021-9-9 09:56:21

冬雪雪冬 发表于 2021-9-8 23:58
触发了反爬机制,每次爬取后间隔几秒。
我也写了一个,爬取几页后就出现你说的问题,加上sleep后就好了。
...

确实是加上就好了,万分感谢Orz

仝仝仝 发表于 2021-9-9 09:57:44

benyazi 发表于 2021-9-9 00:54
加time.sleep

感谢感谢Orz

晴雨皆宜 发表于 2021-9-9 11:43:42

膜拜····
页: [1]
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