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，并且我想将其写为空单元格值，而不是使用跳过.text。我还试图用.string ，但它给我TypeError: can only concatenate str (not "NoneType") to str我也想设定一个动态的发现得到，如果<td>有<a href>则追加<a>如果标签数据没有，追加是什么<td>，但写出来为空（或文本“无”）值，如果<td>有没有数据。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()
这是一个示例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,Type_Value,Cardinality,Description
Data 1,Data 2,,"Data 4"
Data 1,2ndPage,Data 3,
我已经在stackoverflow上测试和查找示例了几个星期了:(，请帮助。在此先感谢！
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)
写道data.csv：
Parameter,Type_Value,Cardinality,Description
Data 1,Data 2,,Data 4
Data 10,2ndPage,Data 3,
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