使用网络抓取提供数据框

我正在尝试将一些刮取的值附加到数据框中。我有这个代码：

import time
import requests
import pandas

import pandas as pd
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.firefox.options import Options
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
import json

# Grab content from URL
url = "https://www.remax.pt/comprar?searchQueryState={%22regionName%22:%22%22,%22businessType%22:1,%22listingClass%22:1,%22page%22:1,%22sort%22:{%22fieldToSort%22:%22ContractDate%22,%22order%22:1},%22mapIsOpen%22:false,%22listingTypes%22:[],%22prn%22:%22%22}"

PATH = 'C:\DRIVERS\chromedriver.exe'
driver = webdriver.Chrome(PATH)
option = Options()
option.headless = False
#chromedriver = 
#driver = webdriver.Chrome(chromedriver)
#driver = webdriver.Firefox() #(options=option)
#driver.get(url)
#driver.implicitly_wait(10)  # in seconds

time.sleep(1)
wait = WebDriverWait(driver, 10)
driver.get(url)

rows = driver.find_elements_by_xpath("//div[@class='row results-list ']/div")
data=[]
for row in rows:
    price=row.find_element_by_xpath(".//p[@class='listing-price']").text
    print(price)
    address=row.find_element_by_xpath(".//p[@class='listing-address']").text
    print(address)
    Tipo=row.find_element_by_xpath(".//p[@class='listing-type']").text
    print(Tipo)
    Area=row.find_element_by_xpath(".//p[@class='listing-area']").text
    print(Area)
    Quartos=row.find_element_by_xpath(".//p[@class='icon-bedroom-full']").text
    print(Quartos)
    data.append([price],[address],[Tipo],[Area],[Quartos])



#driver.quit()

问题是它返回以下错误：

NoSuchElementException                    Traceback (most recent call last)
<ipython-input-16-9e4d01985cda> in <module>
     49     price=row.find_element_by_xpath(".//p[@class='listing-price']").text
     50     print(price)
---> 51     address=row.find_element_by_xpath(".//p[@class='listing-address']").text
     52     print(address)
     53     Tipo=row.find_element_by_xpath(".//p[@class='listing-type']").text

~\anaconda3\lib\site-packages\selenium\webdriver\remote\webelement.py in find_element_by_xpath(self, xpath)
    349             element = element.find_element_by_xpath('//div/td[1]')
    350         """
--> 351         return self.find_element(by=By.XPATH, value=xpath)
    352 
    353     def find_elements_by_xpath(self, xpath):

~\anaconda3\lib\site-packages\selenium\webdriver\remote\webelement.py in find_element(self, by, value)
    656                 value = '[name="%s"]' % value
    657 
--> 658         return self._execute(Command.FIND_CHILD_ELEMENT,
    659                              {"using": by, "value": value})['value']
    660 

~\anaconda3\lib\site-packages\selenium\webdriver\remote\webelement.py in _execute(self, command, params)
    631             params = {}
    632         params['id'] = self._id
--> 633         return self._parent.execute(command, params)
    634 
    635     def find_element(self, by=By.ID, value=None):

~\anaconda3\lib\site-packages\selenium\webdriver\remote\webdriver.py in execute(self, driver_command, params)
    319         response = self.command_executor.execute(driver_command, params)
    320         if response:
--> 321             self.error_handler.check_response(response)
    322             response['value'] = self._unwrap_value(
    323                 response.get('value', None))

~\anaconda3\lib\site-packages\selenium\webdriver\remote\errorhandler.py in check_response(self, response)
    240                 alert_text = value['alert'].get('text')
    241             raise exception_class(message, screen, stacktrace, alert_text)
--> 242         raise exception_class(message, screen, stacktrace)
    243 
    244     def _value_or_default(self, obj, key, default):

NoSuchElementException: Message: no such element: Unable to locate element: {"method":"xpath","selector":".//p[@class='listing-address']"}
  (Session info: chrome=90.0.4430.72)

但是，当我仅尝试使用第一个元素时，它会返回价格列表。如果我在数据框中给它不同的位置并且使用相同类型的路径，有什么区别？

你遇到的主要问题是locators。 1 首先，比较我使用的定位器和您代码中的定位器。 2 其次，添加显式等待from selenium.webdriver.support import expected_conditions as EC3 第三，删除不必要的代码。

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC


driver = webdriver.Chrome(executable_path='/snap/bin/chromium.chromedriver')
url = "https://www.remax.pt/comprar?searchQueryState={%22regionName%22:%22%22,%22businessType%22:1,%22listingClass%22:1,%22page%22:1,%22sort%22:{%22fieldToSort%22:%22ContractDate%22,%22order%22:1},%22mapIsOpen%22:false,%22listingTypes%22:[],%22prn%22:%22%22}"
driver.get(url)
wait = WebDriverWait(driver, 10)
wait.until(EC.presence_of_all_elements_located((By.XPATH, "//div[@class='row results-list ']/div")))
rows = driver.find_elements_by_xpath("//div[@class='row results-list ']/div")
data = []
for row in rows:
    price_p = row.find_element_by_xpath(".//p[@class='listing-price']").text
    address = row.find_element_by_xpath(".//h2[@class='listing-address']").text
    type = row.find_element_by_xpath(".//li[@class='listing-type']").text
    area = row.find_element_by_xpath(".//li[@class='listing-area']").text
    quartos = row.find_element_by_xpath(".//li[@class='listing-bedroom']").text
    data.append([price, address, price_p, area, quartos])
driver.close()
driver.quit()

请注意，我是在 Linux 上进行的。您的 Chrome 驱动程序位置不同。 另外，要打印列表，请使用：

for p in data:
    print(p.text, sep='\n')

您可以根据需要修改它。 我收到以下输出：

['240 000 €', 'Lisboa -  Lisboa, Carnide', 'Apartamento', '54 m\n2', '1']
['280 000 €', 'Lisboa -  Lisboa, Beato', 'Apartamento', '80 m\n2', '1']
['285 000 €', 'Lisboa -  Lisboa, Beato', 'Apartamento', '83 m\n2', '1']
['290 000 €', 'Lisboa -  Lisboa, Beato', 'Apartamento', '85 m\n2', '1']
['280 000 €', 'Lisboa -  Lisboa, Beato', 'Apartamento', '80 m\n2', '1']
['290 000 €', 'Lisboa -  Lisboa, Beato', 'Apartamento', '85 m\n2', '1']
['285 000 €', 'Lisboa -  Lisboa, Beato', 'Apartamento', '83 m\n2', '1']
['80 000 €', 'Santarém -  Cartaxo, Ereira e Lapa', 'Terreno', '12440 m\n2', '1']
['260 000 €', 'Lisboa -  Sintra, Queluz e Belas', 'Prédio', '454 m\n2', '1']
['37 500 €', 'Santarém -  Torres Novas, Torres Novas (Santa Maria, Salvador e Santiago)', 'Prédio', '92 m\n2', '1']
['505 000 €', 'Lisboa -  Sintra, Algueirão-Mem Martins', 'Duplex', '357 m\n2', '1']
['135 700 €', 'Lisboa -  Mafra, Milharado', 'Terreno', '310 m\n2', '1']
['132 800 €', 'Lisboa -  Mafra, Milharado', 'Terreno', '310 m\n2', '1']
['133 440 €', 'Lisboa -  Mafra, Milharado', 'Terreno', '310 m\n2', '1']
['179 000 €', 'Lisboa -  Mafra, Milharado', 'Terreno', '310 m\n2', '1']
['75 000 €', 'Lisboa -  Vila Franca de Xira, Vila Franca de Xira', 'Apartamento', '52 m\n2', '1']
['575 000 €', 'Porto -  Matosinhos, Matosinhos e Leça da Palmeira', 'Apartamento', '140 m\n2', '1']
['35 000 €', 'Setúbal -  Almada, Caparica e Trafaria', 'Outros - Habitação', '93 m\n2', '1']
['550 000 €', 'Leiria -  Alcobaça, Évora de Alcobaça', 'Moradia', '160 m\n2', '1']
['550 000 €', 'Lisboa -  Loures, Santa Iria de Azoia, São João da Talha e Bobadela', 'Moradia', '476 m\n2', '1']