抓取亚马逊评论，不能排除付费评论

Question

我正在尝试刮除每个评论者给产品的星数。我注意到一些评论者是"Vine Voices"或付费评论者。他们很少给 4 星，主要是 5 星。因此，我想排除它们。

我这样做的方法是将它们标记为"付费">

或"未付费"，如果评论标记为"a-color-success a-text-bold"标签。

我似乎无法将任何"付费"标签附加到藤蔓变量中。怎么来了？

只有那些由 Vine Voice 撰写的评论才有标签，那些没有标签的评论没有"付费"标签。

import requests
from bs4 import BeautifulSoup
import pandas as pd
import time
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.71 Safari/537.36'}
rating_list = [] 
date_list = []
vine = []
for num in range(1,12):
url = "https://www.amazon.com/Jabra-Wireless-Noise-Canceling-Headphones-Built/product-reviews/B07RS8B5HV/ref=cm_cr_arp_d_paging_btm_next_2?ie=UTF8&reviewerType=all_reviews&pageNumber={}&sortBy=recent".format(num)
r = requests.get(url, headers = headers)
soup = BeautifulSoup(r.content, 'lxml')
for ratings in soup.find_all("div", attrs={"data-hook": "review"}):     
submission_date = ratings.find("span", {'data-hook':'review-date'}).text
rating = ratings.find('i', attrs={"data-hook": "review-star-rating"}).text
paid = ratings.find("span", attrs={"class": "a-color-success a-text-bold"})
if paid in ratings:
vine.append("Paid")
else:
vine.append("Not-paid")
date_list.append(submission_date)
rating_list.append(rating)
data = {'Rating':rating_list, 'Date':date_list, "Paid":vine}
time.sleep(2)
df = pd.DataFrame(data)
df["Date"] = pd.to_datetime(df["Date"])
df = df.sort_values(by="Date", ascending=False)
print(df)

这就是我到目前为止得到的。 评论 2 和 3 是 Vine Voice，但它们被标记为未付费，但应该付费。

0    5.0 out of 5 stars 2019-09-18  Not-paid
1    4.0 out of 5 stars 2019-09-13  Not-paid
2    5.0 out of 5 stars 2019-09-12  Not-paid
3    5.0 out of 5 stars 2019-09-11  Not-paid
4    5.0 out of 5 stars 2019-09-10  Not-paid
...

Answer 1

您将元素与元素进行比较，这就是为什么它总是进入 else 条件的原因。 我已经进行了更改并将文本与文本进行了比较，它工作正常。检查下面的代码。

import requests
from bs4 import BeautifulSoup
import pandas as pd
import time
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.71 Safari/537.36'}
rating_list = []
date_list = []
vine = []
for num in range(1,12):
url = "https://www.amazon.com/Jabra-Wireless-Noise-Canceling-Headphones-Built/product-reviews/B07RS8B5HV/ref=cm_cr_arp_d_paging_btm_next_2?ie=UTF8&reviewerType=all_reviews&pageNumber={}&sortBy=recent".format(num)
r = requests.get(url, headers = headers)
soup = BeautifulSoup(r.content, 'lxml')
for ratings in soup.find_all("div", attrs={"data-hook": "review"}):
submission_date = ratings.find("span", {'data-hook':'review-date'}).text
rating = ratings.find('i', attrs={"data-hook": "review-star-rating"}).text
paid = ratings.find("span", attrs={"class": "a-color-success a-text-bold"})
if paid:
if paid.text in ratings.text:
vine.append("Paid")
date_list.append(submission_date)
rating_list.append(rating)
data = {'Rating': rating_list, 'Date': date_list, "Paid": vine}
else:
vine.append("Not-paid")
date_list.append(submission_date)
rating_list.append(rating)
data = {'Rating':rating_list, 'Date':date_list, "Paid":vine}
time.sleep(2)
df = pd.DataFrame(data)
df["Date"] = pd.to_datetime(df["Date"])
df = df.sort_values(by="Date", ascending=False)
print(df)

输出：

Date      Paid              Rating
0   2019-09-18  Not-paid  5.0 out of 5 stars
1   2019-09-13  Not-paid  4.0 out of 5 stars
2   2019-09-12      Paid  5.0 out of 5 stars
3   2019-09-11      Paid  5.0 out of 5 stars
4   2019-09-10  Not-paid  5.0 out of 5 stars
5   2019-09-10  Not-paid  2.0 out of 5 stars
6   2019-09-10      Paid  5.0 out of 5 stars
7   2019-09-09      Paid  5.0 out of 5 stars
8   2019-09-09  Not-paid  2.0 out of 5 stars
9   2019-09-08      Paid  5.0 out of 5 stars
10  2019-09-05      Paid  5.0 out of 5 stars
11  2019-09-01  Not-paid  2.0 out of 5 stars
12  2019-08-31      Paid  5.0 out of 5 stars
13  2019-08-25      Paid  5.0 out of 5 stars
14  2019-08-24  Not-paid  4.0 out of 5 stars
15  2019-08-22  Not-paid  5.0 out of 5 stars
16  2019-08-21      Paid  5.0 out of 5 stars
17  2019-08-20  Not-paid  5.0 out of 5 stars
18  2019-08-20      Paid  5.0 out of 5 stars
19  2019-08-18      Paid  5.0 out of 5 stars
20  2019-08-17  Not-paid  5.0 out of 5 stars
21  2019-08-17  Not-paid  5.0 out of 5 stars
22  2019-08-14  Not-paid  4.0 out of 5 stars
23  2019-08-12      Paid  5.0 out of 5 stars
24  2019-08-05      Paid  5.0 out of 5 stars
25  2019-08-05      Paid  4.0 out of 5 stars
26  2019-08-04      Paid  5.0 out of 5 stars
27  2019-08-04      Paid  4.0 out of 5 stars
29  2019-08-03      Paid  5.0 out of 5 stars
28  2019-08-03      Paid  4.0 out of 5 stars
..         ...       ...                 ...
80  2019-07-08      Paid  5.0 out of 5 stars
81  2019-07-08      Paid  5.0 out of 5 stars
82  2019-07-08      Paid  5.0 out of 5 stars
85  2019-07-07      Paid  5.0 out of 5 stars
83  2019-07-07      Paid  5.0 out of 5 stars
84  2019-07-07      Paid  5.0 out of 5 stars
87  2019-07-06      Paid  5.0 out of 5 stars
86  2019-07-06      Paid  4.0 out of 5 stars
88  2019-07-05  Not-paid  4.0 out of 5 stars
89  2019-07-05      Paid  5.0 out of 5 stars
90  2019-07-05      Paid  5.0 out of 5 stars
91  2019-07-05      Paid  5.0 out of 5 stars
92  2019-07-04      Paid  5.0 out of 5 stars
93  2019-07-04      Paid  4.0 out of 5 stars
94  2019-07-04      Paid  5.0 out of 5 stars
95  2019-07-04      Paid  5.0 out of 5 stars
96  2019-07-04      Paid  5.0 out of 5 stars
98  2019-07-03  Not-paid  3.0 out of 5 stars
97  2019-07-03      Paid  5.0 out of 5 stars
99  2019-07-01      Paid  5.0 out of 5 stars
100 2019-07-01      Paid  3.0 out of 5 stars
101 2019-07-01      Paid  5.0 out of 5 stars
102 2019-06-30      Paid  5.0 out of 5 stars
103 2019-06-29      Paid  5.0 out of 5 stars
104 2019-06-29      Paid  5.0 out of 5 stars
105 2019-06-28  Not-paid  1.0 out of 5 stars
106 2019-06-27      Paid  4.0 out of 5 stars
107 2019-06-27      Paid  5.0 out of 5 stars
108 2019-06-26      Paid  5.0 out of 5 stars
109 2019-06-26      Paid  5.0 out of 5 stars
[110 rows x 3 columns]

Answer 2

我认为更好的方法(使用 bs4 4.7.1+(是使用 ：has 和 ：not 预先排除。然后，您不需要排除字段/标志。在下文中，我打印出审稿人姓名作为目视检查(您将看到付费审稿人姓名没有出现(。我还调整您的循环以正常工作并使用Session提高效率。我还使用更短更强大的选择器。

css 选择器比find快，所以我可能会find行更改为：

submission_date = review.select_one('[data-hook=review-date]').text
rating = review.select_one('[data-hook=review-star-rating]').text

---

派

import requests
from bs4 import BeautifulSoup
import pandas as pd
headers = {'User-Agent': 'Mozilla/5.0'}
rating_list = [] 
date_list = []
with requests.Session() as s:   
for num in range(1,12):
url = "https://www.amazon.com/Jabra-Wireless-Noise-Canceling-Headphones-Built/product-reviews/B07RS8B5HV/ref=cm_cr_arp_d_paging_btm_next_2?ie=UTF8&reviewerType=all_reviews&pageNumber={}&sortBy=recent".format(num)
r = s.get(url, headers = headers)
soup = BeautifulSoup(r.content, 'lxml')
for review in soup.select('.review:not(:has(.a-color-success))'):   
submission_date = review.select_one('[data-hook=review-date]').text
rating = review.select_one('[data-hook=review-star-rating]').text
date_list.append(submission_date)
rating_list.append(rating)
print(review.select_one('.a-profile-name').text) #check 
data = {'Rating':rating_list, 'Date':date_list}
df = pd.DataFrame(data)
df["Date"] = pd.to_datetime(df["Date"])
df = df.sort_values(by="Date", ascending=False)
print(df)