无法通过 Selenium Webdriver 甚至 Javascript 执行程序滚动网页

Question

`from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.common.action_chains import ActionChains
import time

driver = webdriver.Chrome('chromedriver.exe')

driver.get('https://iremedy.com/search?query=Vital%20Signs%20Monitors')

time.sleep(5)

element = driver.find_element(By.CLASS_NAME, 'body').send_keys(Keys.END)`

我尝试了各种方法，但都没有奏效。 请帮助我。

Answer 1

这是滚动该页面并加载项目的一种方式：

from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.action_chains import ActionChains
import pandas as pd
import time as t

chrome_options = Options()
chrome_options.add_argument("--no-sandbox")
chrome_options.add_argument('disable-notifications')

chrome_options.add_argument("window-size=1280,720")

webdriver_service = Service("chromedriver/chromedriver") ## path to where you saved chromedriver binary
browser = webdriver.Chrome(service=webdriver_service, options=chrome_options)
wait = WebDriverWait(browser, 20)
url = 'https://iremedy.com/search?query=Vital%20Signs%20Monitors'
browser.get(url)
items_list = []
while True:
    elements_on_page = wait.until(EC.presence_of_all_elements_located((By.CSS_SELECTOR, '[class^="card"]')))
    print(len(elements_on_page), 'total items found')
    if len(elements_on_page) > 100:
        print('more than 100 found, stopping')
        break
    footer = wait.until (EC.presence_of_element_located((By.CSS_SELECTOR, 'footer[id="footer"]')))
    footer.location_once_scrolled_into_view
    t.sleep(2)
for el in elements_on_page:
    title = el.find_element(By.CSS_SELECTOR, 'h3[class="title"]')
    price = el.find_element(By.CSS_SELECTOR, 'div[class="price"]')
    items_list.append((title.text.strip(), price.text.strip()))
df = pd.DataFrame(items_list, columns = ['Item', 'Price'])
print(df)

终端打印的结果将是：

10 total items found
20 total items found
20 total items found
30 total items found
30 total items found
40 total items found
50 total items found
60 total items found
70 total items found
80 total items found
90 total items found
100 total items found
110 total items found
more than 100 found, stopping
Item    Price
0   Edan M3A Vital Signs Monitors   $2,714.95
1   M3 Vital Signs Monitors by Edan Instruments $2,476.95
2   Vital Signs Patient Monitors - Touch Screen $2,015.95
3   RVS-100 Advanced Vital Signs Monitors by Riester    $362.95
4   Edan iM80 Vital Signs Patient Monitors  $5,291.95
... ... ...
105 Patient Monitor Connex® Vital Signs Monitoring...   $10,571.95
106 Patient Monitor Connex® Spot Check and Vital S...   $5,089.95
107 Patient Monitor Connex® Spot Check and Vital ...    $5,964.95
108 Patient Monitor X Series® Vital Signs Monitori...   $48,978.95
109 Patient Monitor Connex® Spot Check and Vital S...   $4,391.95
110 rows × 2 columns

一旦达到 100，我将打破循环，您可以将 go 更高。重要的是要注意还有另一种获取该数据的方法，即通过抓取从中提取数据的 GraphQL 端点。 尽管如此，这就是您使用 Selenium 的方式。 有关文档，请参阅https://www.selenium.dev/documentation/