查找具有相同类名的多个表，Python webscraping
查找具有相同类名的多个表，Python webscraping
提问于 2020-04-25 12:29:36
我正在尝试使用Python4和BeautifulSoup抓取具有相同类名的多个表。
from bs4 import BeautifulSoup
import csv
standingsURL = "https://efl.network/index/efl/Standings.html"
standingsPage = requests.get(standingsURL)
standingsSoup = BeautifulSoup(standingsPage.content, 'html.parser')
standingTable = standingsSoup.find_all('table', class_='Grid')
standingTitles = standingTable.find_all("tr", class_='hilite')
standingHeaders = standingTable.find_all("tr", class_="alt")但是，在运行此命令时，它会显示以下错误
Traceback (most recent call last):
File "C:/Users/user/Desktop/program.py", line 15, in <module>
standingTitles = standingTable.find_all("tr", class_='hilite')
File "C:\Users\user\AppData\Local\Programs\Python\Python37-32\lib\site-packages\bs4\element.py", line 2128, in __getattr__
"ResultSet object has no attribute '%s'. You're probably treating a list of elements like a single element. Did you call find_all() when you meant to call find()?" % key
AttributeError: ResultSet object has no attribute 'find_all'. You're probably treating a list of elements like a single element. Did you call find_all() when you meant to call find()?如果我使用standingTable = standingsSoup.find('table', class_='Grid')更改standingTable = standingsSoup.find_all('table', class_='Grid')
它可以工作，但在我尝试获取两个表的数据时，它只提供其中一个表的数据
回答 1
Stack Overflow用户
发布于 2020-04-26 09:07:39
尝尝这个。
from simplified_scrapy import SimplifiedDoc,req,utils
standingsURL = "https://efl.network/index/efl/Standings.html"
standingsPage = req.get(standingsURL)
doc = SimplifiedDoc(standingsPage)
standingTable = doc.selects('table.Grid')
standingTitles = standingTable.selects("tr.hilite")
standingHeaders = standingTable.selects("tr.alt")
print(standingTitles.tds.text)结果：
[[['Wisconsin Brigade', '10', '3', '0', '.769', '386', '261', '6-1-0', '4-2-0', '3-2-0', '3-2-0', 'W4'], ...这里有更多的例子。https://github.com/yiyedata/simplified-scrapy-demo/tree/master/doc_examples
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/61420988
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