从新闻网站中提取用户评论

Question

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


def wait(dr, x):
  element = WebDriverWait(dr, 50).until(
    EC.presence_of_all_elements_located((By.XPATH, x))
)
return element
from selenium import webdriver
browser = webdriver.Firefox()
browser.get("http://www.dinamalar.com/user_comments.asp? uid=14701&name=%E0%AE%A4%E0%AE%AE%E0%AE%BF%E0%AE%B4%E0%AF%8D%E0%AE%9A%E0%AF%86%E0%AE%B2%E0%AF%8D%E0%AE%B5%E0%AE%A9%E0%AF%8D")
for elem in wait(browser, '//*[@id="commsec"]/div[2]/div[1]'):
print elem.text

这是我需要提取所有 cmets http://www.dinamalar.com/user_comments.asp?uid=14701&name=%E0%AE%A4%E0%AE%AE%E0%AE%BF%E0%AE%B4%E0%AF%8D%E0%AE%9A%E0%AF%86%E0%AE%B2%E0%AF%8D%E0%AE%B5%E0%AE%A9%E0%AF%8D的链接

但是我的代码只提取了前 10 个 cmets。单击按钮后，将动态加载其他 10 个 cmets。如何使用 python selenium 提取所有这些 cmets

Answer 1

这个想法是寻找页面上存在多少“更多想法”元素。每次单击按钮并加载更多 cmets 时，就会出现一个“更多想法”红色按钮。实施：

from selenium.common.exceptions import TimeoutException
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 import webdriver


browser = webdriver.Firefox()
wait = WebDriverWait(browser, 10)
browser.get("http://www.dinamalar.com/user_comments.asp?uid=14701&name=%E0%AE%A4%E0%AE%AE%E0%AE%BF%E0%AE%B4%E0%AF%8D%E0%AE%9A%E0%AF%86%E0%AE%B2%E0%AF%8D%E0%AE%B5%E0%AE%A9%E0%AF%8D")

# initial wait for the page to load
wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, ".morered")))

pages = 1
while True:
    browser.find_elements_by_css_selector(".morered")[-1].click()

    # wait for more "load more" buttons to be present
    try:
        wait.until(lambda browser: len(browser.find_elements_by_css_selector(".morered")) > pages)
    except TimeoutException:
        break  # no more data loaded, exit the loop

    print("Comments loaded: %d" % len(browser.find_elements_by_css_selector(".dateg")))

    pages += 1

browser.close()

请注意，我还删除了 URL 中的多余空间。