使用 BeautifulSoup 将抓取的文本转换为 Pandas 数据框

Question

我正在使用下面的代码从网站中提取一些文本。我有它的字符串形式。

import requests
URL = 'https://www.instituteforsupplymanagement.org/about/MediaRoom/newsreleasedetail.cfm?ItemNumber=30655&SSO=1'
r = requests.get(URL)
page = r.text

from bs4 import BeautifulSoup
soup = BeautifulSoup(page, 'lxml')
import re

strong_el = soup.find('strong',text='WHAT RESPONDENTS ARE SAYING …')

ul_tag = strong_el.find_next_sibling('ul')
LI_TAG =''
for li_tag in ul_tag.children:

    LI_TAG += li_tag.string

print LI_TAG

我正在尝试创建一个包含 2 列的数据框：1）评论 2）行业（括号内的子字符串）。 当我尝试使用StringIO 时出现一些错误，如下所示：'TypeError: data argument can't be an iterator'。如何将这些 cmets 转换为数据框？

import sys
if sys.version_info[0] < 3: 
    from StringIO import StringIO
else:
    from io import StringIO

import pandas as pd

LI_TAG = StringIO(LI_TAG)
df = pd.DataFrame(LI_TAG)

Answer 1

看起来 LI_TAG 变量只是一个长字符串 - 因此您必须将其拆分以将其存储在数据帧中。

import requests
URL = 'https://www.instituteforsupplymanagement.org/about/MediaRoom/newsreleasedetail.cfm?ItemNumber=30655&SSO=1'
r = requests.get(URL)
page = r.text

from bs4 import BeautifulSoup
soup = BeautifulSoup(page, 'lxml')
import re

strong_el = soup.find('strong',text='WHAT RESPONDENTS ARE SAYING …')

ul_tag = strong_el.find_next_sibling('ul')
LI_TAG =''
for li_tag in ul_tag.children:

    LI_TAG += li_tag.string

# Convert to unicode to remove quotation marks \u201c and \u201d
LI_TAG_U = unicode(LI_TAG)
comments=[]
industries=[]
for string in LI_TAG.strip().split('\n'):
    comment, industry =  string.split(u'\u201d')
    comments.append(comment.strip(u'\u201c'))
    industries.append(industry.strip(' (').strip(')'))

import pandas as pd

data = pd.DataFrame()

data['Comment']=comments
data['Industry']=industries

希望这对你有用！