我怎样才能找到一个字母变化的div类？

Question

我想刮一个网站，目前，我可以刮网站从第1页到第5页。 唯一让我恼火的是，在第3页，网站改变了div类的信息，我想刮

发件人：“xl价格区间价格”

收件人：“l-price rangePrice”

收件人：“m-price rangePrice”

find("div", {"class": "xl-price rangePrice"})

如何更改此代码以便查询刮取“xl price rangePrice”、“l-price rangePrice”和“m-price rangePrice”

提前感谢您的回答

我的总体代码是：

#Fonctionne jusqu à la page 5  mais j'ai pas la page 5 

import pandas as pd
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from bs4 import BeautifulSoup

options = Options()
options.add_argument("window-size=1400,600")
from fake_useragent import UserAgent

ua = UserAgent()
a = ua.random
user_agent = ua.random
print(user_agent)
options.add_argument(f'user-agent={user_agent}')

driver = webdriver.Chrome('/Users/raduulea/Documents/chromedriver', options=options)

driver.get('https://www.immoweb.be/fr/recherche/immeuble-de-rapport/a-vendre/liege/4000')

import time

time.sleep(10)

Title = []
address = []
price = []
surface = []
desc = []
page = 2
while True:
    time.sleep(10)
    html = driver.page_source
    soup = BeautifulSoup(html, 'html.parser')
    if int(page)<=2:
        results = soup.find_all("div", {"class": "result-xl"})
        for result in results:
            Title.append(result.find("div", {"class": "title-bar-left"}).get_text().strip())
            address.append(result.find("span", {"result-adress"}).get_text().strip())
            price.append(result.find("div", {"class": "xl-price rangePrice"}).get_text().strip())
            surface.append(result.find("div", {"class": "xl-surface-ch"}).get_text().strip())
            desc.append(result.find("div", {"class": "xl-desc"}).get_text().strip())
        if len(driver.find_elements_by_css_selector("a.next")) > 0:
            url = "https://www.immoweb.be/fr/recherche/immeuble-de-rapport/a-vendre/liege/4000/?page={}".format(page)
            driver.get(url)
            page += 1
    elif 3 <= int(page) < 5:
        results = soup.find_all("div", {"class": "result-l"})
        for result in results:
            Title.append(result.find("div", {"class": "title-bar-left"}).get_text().strip())
            address.append(result.find("span", {"result-adress"}).get_text().strip())
            price.append(result.find("div", {"class": "l-price rangePrice"}).get_text().strip())
            surface.append(result.find("div", {"class": "l-surface-ch"}).get_text().strip())
            desc.append(result.find("div", {"class": "l-desc"}).get_text().strip())
        if len(driver.find_elements_by_css_selector("a.next")) > 0:
            url = "https://www.immoweb.be/fr/recherche/immeuble-de-rapport/a-vendre/liege/4000/?page={}".format(page)
            driver.get(url)
            page += 1
    elif 5 <= int(page) <= 6:
        results = soup.find_all("div", {"class": "result-m"})
        for result in results:
            Title.append(result.find("div", {"class": "title-bar-left"}).get_text().strip())
            address.append(result.find("span", {"result-adress"}).get_text().strip())
            price.append(result.find("div", {"class": "m-price rangePrice"}).get_text().strip())
            surface.append(result.find("div", {"class": "m-surface-ch"}).get_text().strip())
            desc.append(result.find("div", {"class": "m-desc"}).get_text().strip())
        if len(driver.find_elements_by_css_selector("a.next")) > 0:
            url = "https://www.immoweb.be/fr/recherche/immeuble-de-rapport/a-vendre/liege/4000/?page={}".format(page)
            driver.get(url)
            page += 1
        else:
            break
    elif int(page) > 6:
        break


df = pd.DataFrame({"Title": Title, "Address": address, "Price:": price, "Surface": surface, "Description": desc})
df.to_csv("immo_scrap.csv")

如果有人需要它： 我找到了另一个解决方案，部分来自这里的答案，还查看了其他论坛：

下面是我的代码，现在简单多了：

#Fonctionne jusqu à la page 5  mais j'ai pas la page 5 

import pandas as pd
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from bs4 import BeautifulSoup

options = Options()
options.add_argument("window-size=1400,600")
from fake_useragent import UserAgent

ua = UserAgent()
a = ua.random
user_agent = ua.random
print(user_agent)
options.add_argument(f'user-agent={user_agent}')

driver = webdriver.Chrome('/Users/raduulea/Documents/chromedriver', options=options)

driver.get('https://www.immoweb.be/fr/recherche/immeuble-de-rapport/a-vendre/liege/4000')

import time

time.sleep(10)

Title = []
address = []
price = []
surface = []
desc = []
page = 2
while True:
    time.sleep(10)
    html = driver.page_source
    soup = BeautifulSoup(html, 'html.parser')
    if int(page)<=6:
        results = soup.find_all(True, {"class": ["result-xl", "result-l","result-m"]})
        for result in results:
            Title.append(result.find("div", {"class":"title-bar-left"}).get_text().strip())
            address.append(result.find("span", {"result-adress"}).get_text().strip())
            price.append(result.find("div", {"class": ["xl-price rangePrice", "l-price rangePrice", "m-price rangePrice"]}).get_text().strip())
            surface.append(result.find("div", {"class": ["xl-surface-ch", "l-surface-ch", "m-surface-ch"]}).get_text().strip())
            desc.append(result.find("div", {"class": ["xl-desc", "l-desc", "m-desc"]}).get_text().strip())
        if len(driver.find_elements_by_css_selector("a.next")) > 0:
            url = "https://www.immoweb.be/fr/recherche/immeuble-de-rapport/a-vendre/liege/4000/?page={}".format(page)
            driver.get(url)
            page += 1
    elif int(page) > 6:
        break


df = pd.DataFrame({"Title": Title, "Address": address, "Price:": price, "Surface": surface, "Description": desc})
df.to_csv("immoweb_no_secret.csv")

Answer 1

下面的任何一个选择器都应该执行此操作。在试一试之前，请确保您已通过了recaptcha障碍：

这个：

for item in soup.select("[data-type='resultgallery-resultitem'] .rangePrice"):
    print(item.text)

或者这个：

for item in soup.select("[class^='result-'] .rangePrice"):
    print(item.text)

这是一种方法：

from selenium import webdriver
from bs4 import BeautifulSoup

url = "https://www.immoweb.be/fr/recherche/immeuble-de-rapport/a-vendre/liege/4000?page=3"

with webdriver.Chrome() as driver:
    driver.delete_all_cookies()
    driver.get(url)
    soup = BeautifulSoup(driver.page_source,"lxml")
    for item in soup.select("[class^='result-'] .rangePrice"):
        print(item.text.strip())

Answer 2

您可以将css结尾与选择器（$=）一起使用：

div[class$="-price rangePrice"]