从图像中
2002和December和1,262.516->>在html标记中，2002为td [1]，12月为td [2]和1,262.516作为td [3]
立即下一行，假设2002年第4季度为td [1] 4,017.422 td [2]
那么我如何在domesitc中存储4,017.422？
https://i.stack.imgur.com/45F3v.png
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chensiduan 回答：如何使用python和硒对具有相同类名的表数据（包括合并的单元格）进行webscrap
您需要导入以下库。
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
要获取所有元素，请尝试以下代码。 visibility_of_all_elements_located（）及其后的xpath
allelements=WebDriverWait(driver,20).until(EC.visibility_of_all_elements_located((By.XPATH,"//td[@class='dataTD' and @colspan='2']/following::td[1]")))
for item in allelements:
print(item.text)
或使用以下CSS选择器。
allelements=WebDriverWait(driver,20).until(EC.visibility_of_all_elements_located((By.CSS_SELECTOR,"td.dataTD[colspan='2']+td")))
for item in allelements:
print(item.text)
**预期输出**：
Year Month Domestic
2003 December 1,424.216
2003Total - 15,232.525
%Chg over 2002 -
Q4 Only 5.13%
2004 January 1,234.820
已编辑 根据您的预期输出，这是更新的代码。 创建一个函数并传递字符串值。
def Get_details(strtext):
Year=[]
Month=[]
Domestic=[]
allelements=WebDriverWait(driver,"td.dataTD")))
for element in allelements:
if element.text==strtext and element.get_attribute("colspan")=='2':
Year.append(element.find_element_by_xpath("./parent::tr/preceding-sibling::tr[1]/td[1]").text)
Month.append(element.find_element_by_xpath("./parent::tr/preceding-sibling::tr[1]/td[2]").text)
Domestic.append(element.find_element_by_xpath("./parent::tr/preceding-sibling::tr[1]/td[3]").text)
Year.append(element.text)
Month.append("-")
Domestic.append(element.find_element_by_xpath("./following::td[1]").text)
if element.find_element_by_xpath("./parent::tr/following-sibling::tr[1]/td[1]").get_attribute("colspan")=='2':
Year.append(element.find_element_by_xpath("./parent::tr/following-sibling::tr[1]/td[1]").text)
Month.append("-")
Domestic.append(element.find_element_by_xpath("./parent::tr/following-sibling::tr[1]/td[2]").text)
Year.append(element.find_element_by_xpath("./parent::tr/following-sibling::tr[2]/td[1]").text)
Month.append(element.find_element_by_xpath("./parent::tr/following-sibling::tr[2]/td[2]").text)
Domestic.append(element.find_element_by_xpath("./parent::tr/following-sibling::tr[2]/td[3]").text)
print(Year)
print(Month)
print(Domestic)
如果您使用2003 Total
Get_details("2003 Total")
输出：
['2003','2003 Total','%Chg over 2002\nQ4 Only','2004']
['December','-','January']
['1,424.216','15,232.525','5.13%','1,234.820']
如果您使用2004 Total
Get_details("2004 Total")
输出：
['2004','2004 Total','%Chg over 2003','2005']
['December',526.984','16,452.807','8.01%',280.516']