为什么 Beautifulsoup 中的 select_one 函数返回 None 值

Question

我正在使用 python 3 和 Beautifulsoup

我的以下代码返回一个无值列表

import bs4 as bs
import urllib.request
import pandas as pd
from requests_html import HTMLSession


review_dict = {'review':[], 'author':[]}

page = 1

while page != 10:
    session = HTMLSession()

    url = 'https://www.goodreads.com/book/show/2932708?from_search=true&from_srp=true&qid=OOQwYQkG9A&rank=1' + str(++page)

    grURL = session.get(url)

    soup = bs.BeautifulSoup(grURL.content, 'html.parser')
    prod_containers = soup.find('div', id = 'lazy_loadable_view')
    firstelement = prod_containers.find_all('div', attrs={'class': 'left bodycol'})
    
    for rows in firstelement:
        review = rows.select_one('p > div.reviewText stacked > span.readable > span')
        author = rows.select_one('p > div.reviewHeader uitext stacked > span > a[title]')
        review_dict['review'].append(review)
        review_dict['author'].append(author)

    if page == 10:
        break
    page += 1
sword_reviews = pd.DataFrame(review_dict)
sword_reviews

当我使用 .text 函数 Jupiter notebook 给我这个错误：

AttributeError: 'NoneType' object has no attribute 'text'

如何调整我的代码以正确抓取评论和评论者姓名？

Answer 1

要获取您想要的数据，您需要更改select_one 中的搜索字符串。用 '.' 加入多个类

试试这个代码：

import bs4 as bs
import urllib.request
import pandas as pd
from requests_html import HTMLSession


review_dict = {'review':[], 'author':[]}

page = 1

while page != 10:
    session = HTMLSession()

    url = 'https://www.goodreads.com/book/show/2932708?from_search=true&from_srp=true&qid=OOQwYQkG9A&rank=1' + str(++page)

    grURL = session.get(url)

    soup = bs.BeautifulSoup(grURL.content, 'html.parser')
    prod_containers = soup.find('div', id = 'lazy_loadable_view')
    firstelement = prod_containers.find_all('div', attrs={'class': 'left bodycol'})
    
    for rows in firstelement:
        review = rows.select_one('div.reviewText.stacked > span.readable > span')
        author = rows.select_one('div.reviewHeader.uitext.stacked > span > a[title]')
        review_dict['review'].append(review)
        review_dict['author'].append(author)

    if page == 10:
        break
    page += 1
    
sword_reviews = pd.DataFrame(review_dict)

print(sword_reviews)