Web爬网具有多个表的页面 [英] Web Scraping a page with multiple tables
本文介绍了Web爬网具有多个表的页面的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我正在尝试从该网站上抓取第二张表: https://fbref.com/en/comps/9/stats/超级联赛统计数据但是,在尝试通过查找表标签访问信息时,我只设法从第一个表中提取了信息.任何人都可以向我解释为什么我无法访问第二个表或向我展示如何操作.
I am trying to web scrape the second table from this website: https://fbref.com/en/comps/9/stats/Premier-League-Stats However, I have only ever managed to extract the information from the first table when trying to access the information by finding the table tag. Would anyone be able to explain to me why I cannot access the second table or show me how to do it.
import requests
from bs4 import BeautifulSoup
url = "https://fbref.com/en/comps/9/stats/Premier-League-Stats"
res = requests.get(url)
soup = BeautifulSoup(res.text, 'lxml')
pl_table = soup.find_all("table")
player_table = tables[0]
推荐答案
该表位于HTML注释内<!-...->
.
The table is inside HTML comments <!-- ... -->
.
要从注释中获取表格,可以使用以下示例:
To get the table from comments, you can use this example:
import requests
from bs4 import BeautifulSoup, Comment
url = 'https://fbref.com/en/comps/9/stats/Premier-League-Stats'
soup = BeautifulSoup(requests.get(url).content, 'html.parser')
table = BeautifulSoup(soup.select_one('#all_stats_standard').find_next(text=lambda x: isinstance(x, Comment)), 'html.parser')
#print some information from the table to screen:
for tr in table.select('tr:has(td)'):
tds = [td.get_text(strip=True) for td in tr.select('td')]
print('{:<30}{:<20}{:<10}'.format(tds[0], tds[3], tds[5]))
打印:
Patrick van Aanholt Crystal Palace 1990
Max Aarons Norwich City 2000
Tammy Abraham Chelsea 1997
Che Adams Southampton 1996
Adrián Liverpool 1987
Sergio Agüero Manchester City 1988
Albian Ajeti West Ham 1997
Nathan Aké Bournemouth 1995
Marc Albrighton Leicester City 1989
Toby Alderweireld Tottenham 1989
...and so on.
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