使用美汤进行网页抓取（体育数据）

Question

当我尝试加载此代码时，我收到两个错误。 1：第一个是我无法正确抓取name_text的数据。

2：我收到 team = name_text.div.text 的缩进错误。我知道这可能很容易解决，但我尝试了不同的缩进，但似乎没有任何效果。

我想在网站上获取球队名称和赔率。

<div class="size14_f7opyze Endeavour_fhudrb0 medium_f1wf24vo participantText_fivg86r" data-automation-id="participant-one">Orlando Magic</div>
<div class="priceText_f71sibe"><span class="size14_f7opyze medium_f1wf24vo priceTextSize_frw9zm9" data-automation-id="price-text">5.85</span></div>

上面的html是从网站上复制过来的。

from bs4 import BeautifulSoup
from urllib.request import urlopen as uReq
my_url = 'https://www.sportsbet.com.au/betting/basketball-us'
uClient = uReq(my_url)
page_html = uClient.read()
uClient.close()

soup = BeautifulSoup(page_html, "html.parser")

price_text = soup.findAll("div",{"class":"priceText_f71sibe"})
name_text = soup.findAll("div",{"class":"size14_f7opyze Endeavour_fhudrb0 medium_f1wf24vo participantText_fivg86r"})
filename = "odds.csv"
f = open(filename,"w")
headers = "Team, odds_team\n"
print(name_text)
f.write(headers)

for price_text in price_texts:
team = name_text.div.text
odds = price_text.span.text

print(odds)
print(team + odds)
f.write(team + "," + odds + "\n")
f.close()

任何帮助都会很棒。干杯。

Answer 1

您的for loop 缩进不正确。正确的缩进是：

for price_text in price_texts:
    team = name_text.div.text
    odds = price_text.span.text
    team = name_text.div.text
    odds = price_text.span.text

    print(odds)
    print(team + odds)
    f.write(team + "," + odds + "\n")
f.close()

队前有 4 个空格和赔率。请阅读Python ForLoop documentation。

另外，没有price_texts 变量。您需要在执行 findAll 时分配它，您忘记了一个“S”：

price_texts = soup.findAll("div",{"class":"priceText_f71sibe"})

最后，考虑使用with 而不是open() 和.close() 写入文件。

Answer 2

我在想你可以做的只是迭代并将它们存储到列表中，然后写入文件。不幸的是，我无法在工作中访问该站点，因此无法测试代码，但我相信这应该会提供您正在寻找的输出：

from bs4 import BeautifulSoup
from urllib.request import urlopen as uReq
import csv
from itertools import zip_longest

my_url = 'https://www.sportsbet.com.au/betting/basketball-us'
uClient = uReq(my_url)
page_html = uClient.read()
uClient.close()

soup = BeautifulSoup(page_html, "html.parser")

price_text = soup.findAll("span",{"data-automation-id":"price-text"})
name_text = soup.findAll("div",{"data-automation-id":"participant-one"})

team_list = [ name.text.strip() for name in name_text ]
odds_list = [ price.text.strip() for price in price_text ]

d = [team_list, odds_list]
export_data = zip_longest(*d, fillvalue = '')
with open('odds.csv', 'w', encoding="ISO-8859-1", newline='') as myfile:
      wr = csv.writer(myfile)
      wr.writerow(("Team", "odds_team"))
      wr.writerows(export_data)
myfile.close()

Answer 3

你可以试试这个吗？

from bs4 import BeautifulSoup
from urllib.request import urlopen as uReq
my_url = 'https://www.sportsbet.com.au/betting/basketball-us'
uClient = uReq(my_url)
page_html = uClient.read()
uClient.close()

soup = BeautifulSoup(page_html, "html.parser")

price_texts = soup.findAll("div",{"class":"priceText_f71sibe"})
name_texts = soup.findAll("div",{"class":"size14_f7opyze Endeavour_fhudrb0 medium_f1wf24voparticipantText_fivg86r"})
filename = "odds.csv"
f = open(filename,"w")
headers = "Team, odds_team\n"
print(name_text)
f.write(headers)

odds =''
team=''
for price_text in price_texts:
    odds = price_text.text
for name_text in name_texts:
    team = name_text.text
print(odds)
print(team + odds)
f.write(team + "," + odds + "\n")
f.close()