我一直在用这个刮刀刮这个URL的评论:https://www.rottentomatoes.com/m/avengers_endgame/reviews 尽管如此,我一直在为如何浏览额外的页面而苦苦挣扎,因为目前这会刮伤第一页的评论。有人知道我会怎么做吗
import selenium
from selenium import webdriver
import pandas as pd
driver = webdriver.Chrome()
driver.get("https://www.rottentomatoes.com/m/avengers_endgame/reviews")
review_1df = pd.DataFrame(columns=['Date', 'Reviewer', 'Website', 'Review', 'Score'])
dates = []
reviews = []
scores = []
newscores = []
names = []
sites = []
results = driver.find_elements_by_class_name("review_area")
reviewnum = 1
reviewers = driver.find_elements_by_class_name("col-xs-8")
for r in results:
dates.append(r.find_element_by_class_name('subtle').text)
reviews.append(r.find_element_by_class_name('the_review').text)
revs = r.find_element_by_class_name('review_desc')
scores.append(revs.find_element_by_class_name('subtle').text)
for r in reviewers:
names.append(r.find_element_by_xpath('//*[@id="reviews"]/div[2]/div[4]/div[' +str(reviewnum)+ ']/div[1]/div[3]/a[1]').text)
sites.append(r.find_element_by_xpath('//*[@id="reviews"]/div[2]/div[4]/div[' +str(reviewnum)+']/div[1]/div[3]/a[2]/em').text)
reviewnum+=1
for score in scores:
if score == ('Full Review'):
newscores.append('no score')
else:
score2 = score[14:]
newscores.append(score2)
review_1df['Date'] = dates
review_1df['Review'] = reviews
review_1df['Score'] = newscores
review_1df['Reviewer'] = names
review_1df['Website'] = sites
您可以使用URL参数进入下一页的评论,并重复相同的步骤。例如,以下url将带您进入评论的第二页:
注意参数是
type=&sort=&page=2
,您还可以在其中指定排序和类型。将其更改为page=3
以进入第三页您还必须添加一个检查,以查看该页面是否存在。例如,您将不会收到此URL的任何评论:
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