Python爬虫之string、strings、stripped_strings、get_text和text用法区别

Python爬虫获取html中的文本方法多种多样，这里主要介绍一下string、strings、stripped_strings和get_text用法

string：用来获取目标路径下第一个非标签字符串，得到的是个字符串

strings：用来获取目标路径下所有的子孙非标签字符串，返回的是个生成器

stripped_strings：用来获取目标路径下所有的子孙非标签字符串，会自动去掉空白字符串，返回的是一个生成器

get_text：用来获取目标路径下的子孙字符串，返回的是字符串（包含HTML的格式内容）

text：用来获取目标路径下的子孙非标签字符串，返回的是字符串

这里补充说明一下，如果获取到的是生成器，一般都是把它转换成list，不然你看不出那是什么玩意

接下来举栗子说明。以某中介网站举例，目标是获取各个在售二手单元的信息

wp_editor_md_3e0ba4ab2e979a9cc9c5d1aae0352f96.jpg

一、string

import requests
from bs4 import BeautifulSoup
 
url = 'https://gz.centanet.com/ershoufang/'
headers = {'User-Agent':"Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.100 Safari/537.36"}
 
respone = requests.get(url,headers=headers)
soup = BeautifulSoup(respone.text)
 
ps = soup.select('div[class="section"] div[class="house-item clearfix"] p[class="house-name"]')
for p in ps:
    house = p.string
    print(house)

上面代码执行结果显示的是一堆None，这是因为string只会取第一个值，如下图，第一个值是空，所以最终获取到的是None

获取值

二、strings

import requests
from bs4 import BeautifulSoup
 
url = 'https://gz.centanet.com/ershoufang/'
headers = {'User-Agent':"Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.100 Safari/537.36"}
 
respone = requests.get(url,headers=headers)
soup = BeautifulSoup(respone.text)
 
ps = soup.select('div[class="section"] div[class="house-item clearfix"] p[class="house-name"]')
for p in ps:
    house = list(p.strings)
    print(house)

如下图，每个list中都会有10个字段，这些字段如何来的参考上图我框红色的地方就知道了。

strings

三、stripped_strings

import requests
from bs4 import BeautifulSoup
 
url = 'https://gz.centanet.com/ershoufang/'
headers = {'User-Agent':"Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.100 Safari/537.36"}
 
respone = requests.get(url,headers=headers)
soup = BeautifulSoup(respone.text)
 
houses = []
ps = soup.select('div[class="section"] div[class="house-item clearfix"] p[class="house-name"]')
for p in ps:
    house = list(p.stripped_strings)#stripped_strings一下子能取出对应目录下的所有文本，并且自动把空白去掉
    houses.append(house)
    print(house)

stripped_strings

四、get_text

import requests
from bs4 import BeautifulSoup
 
url = 'https://gz.centanet.com/ershoufang/'
headers = {'User-Agent':"Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.100 Safari/537.36"}
 
respone = requests.get(url,headers=headers)
soup = BeautifulSoup(respone.text)
 
ps = soup.select('div[class="section"] div[class="house-item clearfix"] p[class="house-name"]')
for p in ps:
    house = p.get_text
    print(house)
    print("=="*40)

get_text

五、text

import requests
from bs4 import BeautifulSoup
 
url = 'https://gz.centanet.com/ershoufang/'
headers = {'User-Agent':"Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.100 Safari/537.36"}
 
respone = requests.get(url,headers=headers)
soup = BeautifulSoup(respone.text)
 
ps = soup.select('div[class="section"] div[class="house-item clearfix"] p[class="house-name"]')
for p in ps:
    house = p.text
    print(house)
    print("=="*40)

text