您好，我正在尝试使用 html 表确定在 eBay 上购买商品的日期:https://offer.ebay.com/ws/eBayISAPI.dll?ViewBidsLogin&item=173653442617&rt=nc&_trksid=p2047675.l2564
我的Python代码:
def soup_creator(url):
# Downloads the eBay page for processing
res = requests.get(url)
# Raises an exception error if there's an error downloading the website
res.raise_for_status()
# Creates a BeautifulSoup object for HTML parsing
return BeautifulSoup(res.text, 'lxml')
soup = soup_creator(item_link)
purchases = soup.find('div', attrs={'class' : 'BHbidSecBorderGrey'})
purchases = purchases.findAll('tr', attrs={'bgcolor' : '#ffffff'})
for purchase in purchases:
date = purchase.findAll("td", {"align": "left"})
date = date[2].get_text()
print(purchase)
当我运行 print 语句时，它不会返回任何内容，我认为这意味着它没有找到任何内容。我希望它打印出这样的内容:
Jul-02-19 18:22:28 PDT
Jun-27-19 16:12:59 PDT
Jun-23-19 06:46:23 PDT
...
最佳答案
Pandas :
对于 pandas 来说非常简单，只需为右表建立索引并切出列
import pandas as pd
table = pd.read_html('https://offer.ebay.com/ws/eBayISAPI.dll?ViewBidsLogin&item=173653442617&rt=nc&_trksid=p2047675.l2564')[4]
table['Date of Purchase']
bs4 方法 1:
正如您所知的列号，您可以在感兴趣的表上使用 nth-of-type
from bs4 import BeautifulSoup as bs
import requests
r = requests.get('https://offer.ebay.com/ws/eBayISAPI.dll?ViewBidsLogin&item=173653442617&rt=nc&_trksid=p2047675.l2564')
soup = bs(r.content, 'lxml')
#if column # is known
purchases = [item.text for item in soup.select('table[width] td:nth-of-type(5)')]
bs4 方法 2(不太理想且列号未知)
from bs4 import BeautifulSoup as bs
import requests
r = requests.get('https://offer.ebay.com/ws/eBayISAPI.dll?ViewBidsLogin&item=173653442617&rt=nc&_trksid=p2047675.l2564')
soup = bs(r.content, 'lxml')
#if column # not known
headers = [item.text.strip() for item in soup.select('table[width] th')]
desired_header = 'Date of Purchase'
if desired_header in headers:
print([item.text for item in soup.select('table[width] td:nth-of-type(' + str(headers.index(desired_header) + 1) + ')')])
关于python - 使用 BeautifulSoup 从表中提取某些列，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/56895156/