如何用硒迭代hrefs？

Question

我一直在尝试获取新闻文章主页的所有 href。最后，我想创造一些东西，给我所有新闻文章中最常用的 n 个词。为此，我认为我需要先使用 href，然后一个接一个地单击它们。

在这个平台的另一个用户的大力帮助下，这是我现在得到的代码：

from bs4 import BeautifulSoup
from selenium import webdriver

url = 'https://ad.nl'

# launch firefox with your url above
# note that you could change this to some other webdriver (e.g. Chrome)
driver = webdriver.Chrome()
driver.get(url)

# click the "accept cookies" button
btn = driver.find_element_by_name('action')
btn.click()

# grab the html. It'll wait here until the page is finished loading
html = driver.page_source

# parse the html soup
soup = BeautifulSoup(html.lower(), "html.parser")
articles = soup.findAll("article")

for i in articles:
    article = driver.find_element_by_class_name('ankeiler')
    hrefs = article.find_element_by_css_selector('a').get_attribute('href')
    print(hrefs)
driver.quit()

它给了我我认为的第一个href，但它不会遍历下一个href。它只是给我第一个 href 的次数与它必须迭代的次数一样多。有谁知道我如何让它进入下一个 href 而不是被困在第一个？

附言。如果有人对如何进一步完成我的小项目有一些建议，请随时分享，因为我还有很多关于 Python 和编程的知识要学习。

Answer 1

要获取文章中的所有href，您可以这样做：

hrefs = article.find_elements_by_xpath('//a')
#OR article.find_element_by_css_selector('a')

for href in hrefs:
  print(href.get_attribute('href'))

但是，要推进项目，也许以下内容会有所帮助：

hrefs = article.find_elements_by_xpath('//a')
links = [href.get_attribute("href") for href in hrefs]

for link in link:
  driver.get(link)
  #Add all words in the article to a dictionary with the key being the words and
  #the value being the number of times they occur

Answer 2

不要用漂亮的汤，这样怎么样？

articles = driver.find_elements_by_css_selector('article')

for i in articles:
    href = i.find_element_by_css_selector('a').get_attribute('href')
    print(href)

Answer 3

为了改进我之前的答案，我已经为您的问题编写了完整的解决方案：

from selenium import webdriver

url = 'https://ad.nl'

#Set up selenium driver
driver = webdriver.Chrome()
driver.get(url)

#Click the accept cookies button
btn = driver.find_element_by_name('action')
btn.click()

#Get the links of all articles
article_elements = driver.find_elements_by_xpath('//a[@class="ankeiler__link"]')
links = [link.get_attribute('href') for link in article_elements]

#Create a dictionary for every word in the articles
words = dict()

#Iterate through every article
for link in links:
    #Get the article
    driver.get(link)

    #get the elements that are the body of the article
    article_elements = driver.find_elements_by_xpath('//*[@class="article__paragraph"]')

    #Initalise a empty string
    article_text = ''

    #Add all the text from the elements to the one string
    for element in article_elements:
        article_text+= element.text + " "

    #Convert all character to lower case  
    article_text = article_text.lower()

    #Remove all punctuation other than spaces
    for char in article_text:
        if ord(char) > 122 or ord(char) < 97:
            if ord(char) != 32:
                article_text = article_text.replace(char,"")

    #Split the article into words
    for word in article_text.split(" "):
        #If the word is already in the article update the count
        if word  in words:
            words[word] += 1
        #Otherwise make a new entry
        else:
            words[word] = 1

#Print the final dictionary (Very large so maybe sort for most occurring words and display top 10)
#print(words)

#Sort words by most used
most_used = sorted(words.items(), key=lambda x: x[1],reverse=True)

#Print top 10 used words
print("TOP 10 MOST USED: ")
for i in range(10):
    print(most_used[i])

driver.quit()

对我来说很好，如果您遇到任何错误，请告诉我。