python_BeautifulSoup爬取汽车评论数据

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爬取的网站：

完整代码在文章末尾

https://koubei.16888.com/57233/0-0-0-2

使用方法： 

from bs4 import BeautifulSoup

拿到html后使用find_all()拿到文本数据，下图可见，数据标签为：

content_text = soup.find_all('span', class_='show_dp f_r')

 因为优点，缺点，综述的classname一样，所以写了个小分类：

   for index,x in enumerate(content_text):if index % 3 == 0:with open("car_post.txt", "a", encoding='utf-8') as f:f.write(x.text+"\n")elif index % 3 == 1:with open("car_nev.txt", "a", encoding='utf-8') as f:f.write(x.text+"\n")else:with open("car_text.txt", "a", encoding='utf-8') as f:f.write(x.text+"\n")

结果预览 

 

消极： 

 积极：

 综述：

 

完整代码 

from bs4 import BeautifulSoup
import requests
for j in range(1,300):url="https://koubei.16888.com/57233/0-0-0-{}".format(j)headers={"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/107.0.0.0 Safari/537.36 Edg/107.0.1418.35"}resp=requests.get(url,headers=headers)resp.encoding="utf-8"soup=BeautifulSoup(resp.text,"html.parser")content_text = soup.find_all('span', class_='show_dp f_r')for index,x in enumerate(content_text):if index % 3 == 0:with open("car_post.txt", "a", encoding='utf-8') as f:f.write(x.text+"\n")elif index % 3 == 1:with open("car_nev.txt", "a", encoding='utf-8') as f:f.write(x.text+"\n")else:with open("car_text.txt", "a", encoding='utf-8') as f:f.write(x.text+"\n")print(j)

 

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