Selenium TimeoutException:消息：

Question

我有下面的代码，它从堆栈溢出中清除问题。当我使用class names作为ex：question-hyperlink类名的css selectors时，我将它转换为css选择器作为.question-hyperlink。这样做没问题。

但是，当我使用tagNames作为CSS selectors (如.A或.DIV )时，它会返回这个超时错误：

Traceback (most recent call last):
  File "C:\Users\intel\Desktop\D_scraper2.pyw", line 37, in to_do
    element = WebDriverWait(driver, 5).until(
  File "C:\Users\intel\AppData\Local\Programs\Python\Python38\lib\site-packages\selenium\webdriver\support\wait.py", line 80, in until
    raise TimeoutException(message, screen, stacktrace)
selenium.common.exceptions.TimeoutException: Message: 

我的代码:

from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import pandas as pd
import time
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import csv

def to_do():
# vars...
    csv_file_location = r"C:\Users\intel\Desktop\data_file.csv"

    user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_3) AppleWebKit/537.36 (KHTML, like Gecko) ' \
                 'Chrome/80.0.3987.132 Safari/537.36'

    driver_exe = 'chromedriver'
    options = Options()
    options.add_argument("--headless")
    options.add_argument(f'user-agent={user_agent}')
    options.add_argument("--disable-web-security")
    options.add_argument("--allow-running-insecure-content")
    options.add_argument("--allow-cross-origin-auth-prompt")

    url = "https://stackoverflow.com/questions"

    driver = webdriver.Chrome(executable_path=r"C:\Users\intel\Downloads\setups\chromedriver.exe", options=options)
    driver.get(url)

    one_ = ".A"

    two_ = ".DIV"

    three_ = ".A"

    try:
        element = WebDriverWait(driver, 5).until(
            EC.presence_of_element_located((By.CSS_SELECTOR, one_))
        )
        elements_1 = driver.find_elements_by_css_selector(one_)

        web_content_list = []
        for ele in elements_1:
            web_content_dict = {}
            web_content_dict["Title"] = ele.text
            web_content_list.append(web_content_dict)

        element = WebDriverWait(driver, 5).until(
            EC.presence_of_element_located((By.CSS_SELECTOR, two_))
        )
        elements_2 = driver.find_elements_by_css_selector(two_)

        for ele2 in elements_2:
            web_content_dict = {}
            web_content_dict["Title2"] = ele2.text
            web_content_list.append(web_content_dict)

        element = WebDriverWait(driver, 5).until(
            EC.presence_of_element_located((By.CSS_SELECTOR, three_))
        )

        elements_3 = driver.find_elements_by_css_selector(three_)

        for ele3 in elements_3:
            web_content_dict = {}
            web_content_dict["Title3"] = ele3.text
            web_content_list.append(web_content_dict)

        df = pd.DataFrame(web_content_list)
        new_df = pd.DataFrame({'Column 1': df['Title'].dropna(),
                  'Column 2': df['Title2'].dropna(),
                  'Column 3': df['Title3'].dropna()})
        new_df.to_csv(csv_file_location,
                  index=False, mode='a', encoding='utf-8')

        try:
            f = open(csv_file_location)
            print("Done !!!\n"*3)

        except IOError:
            print("File not accessible")

        finally:
            f.close()
        driver.quit()

    except:
        element = WebDriverWait(driver, 5).until(
            EC.presence_of_element_located((By.CSS_SELECTOR, one_))
        )
        elements_1 = driver.find_elements_by_css_selector(one_)

        element = WebDriverWait(driver, 5).until(
            EC.presence_of_element_located((By.CSS_SELECTOR, two_))
        )

        elements_2 = driver.find_elements_by_css_selector(two_)

        element = WebDriverWait(driver, 5).until(
            EC.presence_of_element_located((By.CSS_SELECTOR, three_))
        )

        elements_3 = driver.find_elements_by_css_selector(three_)

        df = pd.DataFrame({
            "Title1" : [ele for ele.text in elements_1],
            "Title2" : [ele2 for ele2.text in elements_2],
            "Title3" : [ele3 for ele3.text in elements_3],
        })
        df.to_csv(csv_file_location,
                  index=False, mode='w', encoding='utf-8')

        try:
            f = open(csv_file_location)
            print("Done !!!\n"*3)
            # Do something with the file
        except IOError:
            print("File not accessible")

        finally:
            f.close()
        driver.quit()

    finally:
        print("start")

if __name__ == "__main__":
    to_do()

--在class names为css selectors的情况下，我在csv文件中使用了三列，对于tagNames，我也使用了三列用于csv。也许那些标签上有更多的列..。

任何帮助都将不胜感激..。

Answer 1

当您想使用css选择器搜索标记时，不使用前面的句点。如果您想使用'a‘锚标记，您可以这样做：

one_ = "a"

element = WebDriverWait(driver, 5).until(
            EC.presence_of_element_located((By.CSS_SELECTOR, one_))
        )

把点放在前面是用来表示类名的。