使用select获取td文本 [英] Get td text with select

问题描述

我试图获取链接的几率，但出现错误.你知道我在做什么错吗?

I am trying to obtain the odds of the link and I get an error. DO you know what I am doing wrong?

谢谢

import requests
from bs4 import BeautifulSoup as bs

url = 'https://www.oddsportal.com/soccer/spain/laliga'
r = requests.get(url, headers = {'User-Agent' : 'Mozilla/5.0'})
soup = bs(r.content, 'lxml')

##print([a.text for a in soup.select('#tournamentTable tr[xeid] [href*=soccer]')])

print([b.text for b in soup.select('#tournamentTable td[xodd]')])

我希望获得10行3列，每个奇数一个.但是，我遇到以下错误

I am expecting to obtain 10 rows and 3 columns, one per each odd. However, I have the following error

Traceback (most recent call last):
  File "/Users/.py", line 14, in <module>
    print([b.text for b in soup.select('#tournamentTable td[xodd]')])
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/bs4/element.py", line 1376, in select
    return soupsieve.select(selector, self, namespaces, limit, **kwargs)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/soupsieve/__init__.py", line 114, in select
    return compile(select, namespaces, flags, **kwargs).select(tag, limit)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/soupsieve/__init__.py", line 63, in compile
    return cp._cached_css_compile(pattern, namespaces, custom, flags)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/soupsieve/css_parser.py", line 214, in _cached_css_compile
    CSSParser(pattern, custom=custom_selectors, flags=flags).process_selectors(),
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/soupsieve/css_parser.py", line 1113, in process_selectors
    return self.parse_selectors(self.selector_iter(self.pattern), index, flags)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/soupsieve/css_parser.py", line 946, in parse_selectors
    key, m = next(iselector)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/soupsieve/css_parser.py", line 1100, in selector_iter
    raise SelectorSyntaxError(msg, self.pattern, index)
  File "<string>", line None
soupsieve.util.SelectorSyntaxError: Invalid character '\x1b' position 17
  line 1:
#tournamentTable td[xodd]
                 ^
...

推荐答案

您似乎在 #tournamentTable 和 td [xodd] 之间有错误的字符.它可能看起来像空格，但是具有代码 \ x1b .您可以尝试删除此字符并再次放置空间.

It looks like you have wrong char between #tournamentTable and td[xodd]. It may look like space but it has code \x1b. You may try to delete this char and put space again.

我可以运行您的代码而不会出现此错误.但是此页面使用JavaScript来获取数据，并且 BS 无法运行JavaScript.您可能需要Selenium来控制可以运行JavaScript的Web浏览器，并且可以获取包含数据的HTML.

I can run your code without this error. But this page uses JavaScript to get data and BS can't run JavaScript. You may need Selenium to control web browser which can run JavaScript and you can get HTML with data.

或者您可以在Chrome/Firefox中使用DevTool来检查JavaScript是否从某些URL读取数据并从同一URL读取数据.

Or you can use DevTool in Chrome/Firefox to check if JavaScript read data from some url and read data from the same url.

我找到了网址

https://fb.oddsportal.com/ajax-sport-country-tournament/1/YLO7JZEA/X0/1/?_=1558215347943

最后一部分是当前日期，作为时间戳* 1000

Last part is current date as timestamp * 1000

import datetime

print(datetime.datetime.fromtimestamp(1558215347943/1000)) 

# 2019-05-18 23:35:47.943000

dt = datetime.datetime.now()
print(int(dt.timestamp()*1000))

# 1558216525573

使用 requests.Session()和更好的 headers ，我可以从此url中读取内容.它以JavaScript代码的形式提供数据，但是在切掉一部分后，我得到了JSON格式的数据，可以将其转换为Python字典

Using requests.Session() and better headers I can read from this url. It gives data as JavaScript code but after cutting some part I get data in JSON format which can be converted to Python dictionary

import requests
from bs4 import BeautifulSoup as bs
import json

s = requests.Session()

headers = {
    'User-Agent' : 'Mozilla/5.0 (X11; Linux x86_64; rv:68.0) Gecko/20100101 Firefox/68.0'
}

url = 'https://www.oddsportal.com/soccer/spain/laliga'
r = s.get(url, headers=headers)

soup = bs(r.content, 'lxml')
print(r.text.find('xodd'))
print([b.text for b in soup.select('#tournamentTable td[xodd]')])

headers = {
    'User-Agent' : 'Mozilla/5.0 (X11; Linux x86_64; rv:68.0) Gecko/20100101 Firefox/68.0',
    'Referer': 'https://www.oddsportal.com/soccer/spain/laliga/',
}

r = s.get('https://fb.oddsportal.com/ajax-sport-country-tournament/1/YLO7JZEA/X0/1/?_=1558215347943', headers=headers)
text = r.text[len("globals.jsonpCallback('/ajax-sport-country-tournament/1/YLO7JZEA/X0/1/', "):-2]

data = json.loads(text)
for key, val in data['d']['oddsData'].items():
    print('xeid:', key)
    print('xoid:', val['odds'][0]['oid'], 'avg:', val['odds'][0]['avg'])
    print('xoid:', val['odds'][0]['oid'], 'avg:', val['odds'][1]['avg'])
    print('xoid:', val['odds'][0]['oid'], 'avg:', val['odds'][2]['avg'])
    print('---')

结果:

xeid: ltB92yKu
xoid: 35vjqxv464x0x7qrck avg: 2.16
xoid: 35vjqxv464x0x7qrck avg: 3.5
xoid: 35vjqxv464x0x7qrck avg: 3.44
---
xeid: SW9D1eZo
xoid: 35vjrxv464x0x7qrcm avg: 1.33
xoid: 35vjrxv464x0x7qrcm avg: 5.71
xoid: 35vjrxv464x0x7qrcm avg: 8.83
---
xeid: Mg9H0Flh
xoid: 35vjsxv464x0x7qrco avg: 1.99
xoid: 35vjsxv464x0x7qrco avg: 3.79
xoid: 35vjsxv464x0x7qrco avg: 3.68
---
xeid: zcDLaZ3b
xoid: 35vjtxv464x0x7qrcq avg: 1.57
xoid: 35vjtxv464x0x7qrcq avg: 4.38
xoid: 35vjtxv464x0x7qrcq avg: 5.95
---

---

使用硒

import selenium.webdriver

url = 'https://www.oddsportal.com/soccer/spain/laliga'

driver = selenium.webdriver.Firefox()
driver.get(url)

items = driver.find_elements_by_css_selector("#tournamentTable td[xodd]")

print([x.text for x in items])

结果:

['4.26', '4.07', '1.80', '1.99', '3.79', '3.68', '1.57', '4.38', '5.95', '2.13', '3.19', '3.94', '7.82', '5.00', '1.41', '2.16', '3.50', '3.44', '1.33', '5.71', '8.83', '2.58', '3.52', '2.73', '1.49', '5.31', '5.66', '4.03', '4.21', '1.82']

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