问题描述
我想将网页抓取到4列csv文件中,并且某些表数据不包含任何数据,我想将其写为空单元格值,而不是用.text
跳过它。我也尝试使用.string
,但它给了我TypeError: can only concatenate str (not "NoneType") to str
我还想设置一个动态查找,以获取<td>
是否具有<a href>
,然后附加<a>
标签数据,附加<td>
中的内容,但写为空如果<td>
没有数据,则返回(或文本“ None”)值。
您可以在下面看到HTML示例。
from urllib.request import urlopen as uReq
from bs4 import BeautifulSoup as soup
my_url = 'https://www.example.com'
# opening up connection,grabbing the page
uClient = uReq(my_url)
page_soup = soup(uClient.read(),"lxml")
uClient.close()
# containers = page_soup.find("table",{"class": "typetable"}).find_all("tr",{"class":"typetable"})
# container = containers[0]
containers = page_soup.find_all("tr",{"class": "typetable"})
# print(containers.td)
tds = []
out_filename = "output.csv"
headers = "Parameter,Type_Value,Cardinality,Description \n"
f = open(out_filename,"w")
f.write(headers)
parameter = []
type_value = []
cardinality = []
description = []
for container in containers:
parameter = container.findAll('td')[0].text
type_value = container.find_all('td')[1].text
cardinality = container.find_all('td')[2].text
description = container.find_all('td')[3].text
print("parameter: " + parameter + "\n")
print("type_value: " + type_value + "\n")
print("cardinality: " + cardinality + "\n")
print("description: " + description + "\n")
#f.write(parameter + ',' + type_value + ',' + cardinality + ',"' + description + ' "\n')
f.write(f'{parameter},{str(type_value)},{cardinality},"{description}"\n')
f.close()
下面是一个示例html:
<tr class="typetable">
<td>Data 1 </td>
<td>Data 2 </td>
<td> </td>
<td>Data 4 </td>
</tr>
<tr class="typetable">
<td>Data 10 </td>
<td>
<a href="#2ndPage">2ndPage</a>" "
</td>
<td>Data 3 </td>
<td> </td>
</tr>
我希望输出显示
Parameter,Description
Data 1,Data 2,"Data 4"
Data 1,2ndPage,Data 3,
我已经测试并在stackoverflow上查找示例了几个星期了:(,请帮助。在此先感谢!
解决方法
您可以使用此脚本从表中提取数据:
import csv
from bs4 import BeautifulSoup
txt = '''<tr class="typetable">
<td>Data 1 </td>
<td>Data 2 </td>
<td> </td>
<td>Data 4 </td>
</tr>
<tr class="typetable">
<td>Data 10 </td>
<td>
<a href="#2ndPage">2ndPage</a>" "
</td>
<td>Data 3 </td>
<td> </td>
</tr>'''
soup = BeautifulSoup(txt,'html.parser')
all_data = []
for row in soup.select('tr.typetable'):
tds = [td.a.get_text(strip=True) if td.a else td.get_text(strip=True) for td in row.select('td')]
all_data.append(tds)
with open('data.csv','w',newline='') as csvfile:
writer = csv.writer(csvfile,delimiter=',',quotechar='"',quoting=csv.QUOTE_MINIMAL)
writer.writerow(['Parameter','Type_Value','Cardinality','Description'])
for row in all_data:
writer.writerow(row)
编写此data.csv
:
Parameter,Type_Value,Cardinality,Description
Data 1,Data 2,Data 4
Data 10,2ndPage,Data 3,