SeleniumForLoop卡在彈出訊息上

我有一個幾乎按預期作業的應用程式。在第 5 個實體上運行回圈后出現問題。搜索表明有兩個結果導致相同的最終結果。發生這種情況時，我想選擇兩者中的第一個。

彈出訊息如下所示：

我正在使用以下代碼創建串列，然后回圈：

from selenium import webdriver
import pandas as pd
import random
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from selenium.webdriver.common.proxy import Proxy, ProxyType
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import time




#service = Service('C:\Program Files\Chrome Driver\chromedriver.exe')
URL = "https://mor.nlm.nih.gov/RxClass/search?query=ALIMENTARY TRACT AND METABOLISM"
driver = webdriver.Chrome('C:\Program Files\Chrome Driver\chromedriver.exe')
driver.get(URL)

category = [my_elem.text for my_elem in WebDriverWait(driver, 20).until(EC.visibility_of_all_elements_located((By.CSS_SELECTOR, "div.drug_class img a")))]
classid = [my_elem.text for my_elem in WebDriverWait(driver, 20).until(EC.visibility_of_all_elements_located((By.CSS_SELECTOR, "div.propText")))]
dfObj = pd.DataFrame(category) 
dfObj.columns =['Category']
dfObj.dropna(inplace = True)
new = dfObj["Category"].str.split("(", n = 1, expand = True)
dfObj["New Category"]= new[0]
dfObj["Count"]= new[1]
dfObj.drop(columns =["Category"], inplace = True)
dfObj['Count'] = dfObj['Count'].str.rstrip(')')
dfObj['IsNumber'] = dfObj['Count'].str.isnumeric()
dfObj = dfObj[(dfObj['IsNumber'] == True)]
searchcat = dfObj['New Category'].tolist()
print(searchcat)
dfObj.to_csv('tabledf.csv',index=False)
time.sleep(8)
driver.quit()

for search in searchcat:
    page = f"https://mor.nlm.nih.gov/RxClass/search?query={search}"
    driver = webdriver.Chrome('C:\Program Files\Chrome Driver\chromedriver.exe')
    driver.get(page)
    time.sleep(4)
    table = WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.CSS_SELECTOR, 'tr.dbsearch')))
    time.sleep(4)
    filename = search[0:30] 'table.csv'
    pd.read_html(driver.page_source)[1].iloc[:,:-1].to_csv(filename,index=False)        
    time.sleep(4)
    driver.quit()

如果我手動單擊每個搜索結果，回圈將繼續運行。但是，我希望 selenium 始終選擇第一個選項。我該怎么辦？

更新代碼：

from selenium import webdriver
import pandas as pd
import random
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from selenium.webdriver.common.proxy import Proxy, ProxyType
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait, TimeoutException
import time

with webdriver.Chrome('C:\Program Files\Chrome Driver\chromedriver.exe') as driver:

    URL = "https://mor.nlm.nih.gov/RxClass/search?query=ALIMENTARY TRACT AND METABOLISM"
    driver.get(URL)
    category = [my_elem.text for my_elem in WebDriverWait(driver, 20).until(EC.visibility_of_all_elements_located((By.CSS_SELECTOR, "div.drug_class img a")))]
    dfObj = pd.DataFrame(category) 
    dfObj.columns =["Category"]
    dfObj.dropna(inplace = True)
    new = dfObj["Category"].str.split("(", n = 1, expand = True)
    dfObj["New Category"]= new[0]
    dfObj["Count"]= new[1]
    dfObj.drop(columns =["Category"], inplace = True)
    dfObj["Count"] = dfObj["Count"].str.rstrip(')')
    dfObj["IsNumber"] = dfObj["Count"].str.isnumeric()
    dfObj = dfObj[(dfObj["IsNumber"] == True)]
    searchcat = dfObj["New Category"].tolist()
    dfObj.to_csv('tabledf.csv',index=False)
    time.sleep(3)

    for search in searchcat:
        page = f"https://mor.nlm.nih.gov/RxClass/search?query={search}"
        driver = webdriver.Chrome('C:\Program Files\Chrome Driver\chromedriver.exe')
        driver.get(page)
        table = WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.CSS_SELECTOR, 'tr.dbsearch')))
        modal_wait = WebDriverWait(driver, 1)
        try:
            modal_el = modal_wait.until(EC.visibility_of_element_located((By.ID, 'optionModal')))
            modal_el.find_element(By.CSS_SELECTOR, '.uloption').click()
        except TimeoutException:
            pass
        filename = search[0:30] 'table.csv'
        classid = [my_elem.text for my_elem in WebDriverWait(driver, 20).until(EC.visibility_of_all_elements_located((By.CSS_SELECTOR, "div.table-responsive div.propText strong:nth-child(2)")))]
        classname = [my_elem.text for my_elem in WebDriverWait(driver, 20).until(EC.visibility_of_all_elements_located((By.CSS_SELECTOR, "div.table-responsive div.propText strong:nth-child(1)")))]
        classtype = [my_elem.text for my_elem in WebDriverWait(driver, 20).until(EC.visibility_of_all_elements_located((By.CSS_SELECTOR, "div.table-responsive div.propText strong:nth-child(3)")))]
        df = pd.read_html(driver.page_source)[1].iloc[:,:-1]
        df["ClassID"] = pd.Series(classid)
        df["ClassName"] = pd.Series(classname)
        df["ClassType"] = pd.Series(classtype)
        df.to_csv(filename,index=False)        
        time.sleep(4)
        driver.quit()

uj5u.com熱心網友回復：

首先，我建議您使用with背景關系管理器。它將自行處理打開/關閉驅動程式（Chrome）。這確保如果引發任何例外，它仍然會被關閉。

為此，請使用：

with webdriver.Chrome() as driver:
   ...

在您的代碼中，我看到您為每個 URL 關閉/打開一個新瀏覽器。這不是必需的，不這樣做會加快您的腳本速度。只需用于driver.get()更改 URL。

對于您的主要問題，只需添加一部分將檢測模態并選擇第一個選項的代碼。類似的東西

modal_wait = WebDriverWait(driver, 1)
try:
    modal_el = modal_wait.until(EC.element_to_be_clickable((By.ID, 'optionModal')))
    modal_el.find_element(By.CSS_SELECTOR, '.uloption').click()
except TimeoutException:
    pass

您必須包括以下匯入：

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

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