您好,我正在尝试使用以下HTML表格确定从该网站在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,我认为这意味着它找不到任何内容。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
...
答案 0 :(得分:0)
我使用了list unpacking和切片来从表格行中选择合适的单元格,然后提取其文本。用[2:5]
切片列列表可以达到目的。
import requests
from bs4 import BeautifulSoup
import re
def make_soup(url: str) -> BeautifulSoup:
res = requests.get(url)
res.raise_for_status()
return BeautifulSoup(res.text, 'html.parser')
def extract_purchases(soup: BeautifulSoup) -> list:
table = soup.find('th', text=re.compile('Date of Purchase')).find_parent('table')
purchases = []
for row in table.find_all('tr')[1:]:
price_cell, qty_cell, date_cell = row.find_all('td')[2:5]
p = {
'price': price_cell.text.strip(),
'quantity': qty_cell.text.strip(),
'date': date_cell.text.strip()
}
purchases.append(p)
return purchases
if __name__ == '__main__':
url = 'https://offer.ebay.com/ws/eBayISAPI.dll?ViewBidsLogin&item=173653442617&rt=nc&_trksid=p2047675.l2564'
soup = make_soup(url)
purchases = extract_purchases(soup)
from pprint import pprint
pprint(purchases)
输出:
[{'date': 'Jul-02-19 18:22:28 PDT', 'price': 'US $54.08', 'quantity': '1'},
{'date': 'Jun-27-19 16:12:59 PDT', 'price': 'US $54.08', 'quantity': '1'},
{'date': 'Jun-23-19 06:46:23 PDT', 'price': 'US $54.08', 'quantity': '1'},
{'date': 'Jun-20-19 09:14:07 PDT', 'price': 'US $54.08', 'quantity': '1'},
{'date': 'May-23-19 09:48:59 PDT', 'price': 'US $63.04', 'quantity': '1'},
{'date': 'May-20-19 06:05:24 PDT', 'price': 'US $63.04', 'quantity': '1'},
{'date': 'May-17-19 13:10:38 PDT', 'price': 'US $63.04', 'quantity': '1'},
{'date': 'May-04-19 17:11:32 PDT', 'price': 'US $55.36', 'quantity': '1'},
{'date': 'Apr-24-19 15:27:42 PDT', 'price': 'US $55.36', 'quantity': '1'},
{'date': 'Apr-07-19 17:03:05 PDT', 'price': 'US $54.08', 'quantity': '1'},
{'date': 'Apr-06-19 21:20:17 PDT', 'price': 'US $54.08', 'quantity': '1'},
{'date': 'Apr-06-19 13:29:45 PDT', 'price': 'US $54.08', 'quantity': '1'},
{'date': 'Apr-05-19 14:42:23 PDT', 'price': 'US $54.08', 'quantity': '1'},
{'date': 'Apr-03-19 21:37:14 PDT', 'price': 'US $54.08', 'quantity': '1'},
{'date': 'Apr-02-19 18:23:45 PDT', 'price': 'US $54.08', 'quantity': '1'},
{'date': 'Mar-31-19 06:01:36 PDT', 'price': 'US $54.08', 'quantity': '1'},
{'date': 'Mar-25-19 14:37:27 PDT', 'price': 'US $56.64', 'quantity': '1'},
{'date': 'Feb-12-19 10:57:22 PST', 'price': 'US $53.94', 'quantity': '1'}]
答案 1 :(得分:0)
熊猫:
使用熊猫非常简单,只需为右表建立索引并切出列
create(resource)
{
return this.http.post(this.url + 'saveRegistration.do',resource)
.pipe(map((response:any)=>response.text()),
catchError(this.handleError));
}
bs4方法1:
您知道列号可以在感兴趣的表上使用第n个类型
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2(不太理想,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 # is known
purchases = [item.text for item in soup.select('table[width] td:nth-of-type(5)')]