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無法通過 Selenium Webdriver 甚至 Javascript 執行程序滾動網頁

[英]Cannot Scroll Webpage by Selenium Webdriver or even Javascript Executor

`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)`

我嘗試了各種方法,但都沒有奏效。 請幫助我。

這是滾動該頁面並加載項目的一種方式:

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)

終端打印的結果將是:

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

一旦達到 100,我將打破循環,您可以將 go 更高。重要的是要注意還有另一種獲取該數據的方法,即通過抓取從中提取數據的 GraphQL 端點。 盡管如此,這就是您使用 Selenium 的方式。 有關文檔,請參閱https://www.selenium.dev/documentation/

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