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python - 如何使用 Python 抓取网站数据?

转载 作者:太空宇宙 更新时间:2023-11-04 04:48:39 25 4
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我正在尝试从该网页中抓取实时商品值(value) http://www.mcxliverates.in它有一个 iframe 地址:http://213.136.84.136:8000/

这是我用 BeautifulSoup 尝试的:

from bs4 import BeautifulSoup
#import time
import urllib

data = []
url=urllib.urlopen("http://213.136.84.136:8000/")
html=url.read()
url.close()
soup = BeautifulSoup(html,"html.parser")
span=soup.find('table', attrs={'class':'table2'})
table_body = span.find('tbody')

rows = table_body.find_all('tr')
for row in rows:
cols = row.find_all('td')
cols = [ele.text.strip() for ele in cols]
data.append([ele for ele in cols if ele]) # Get rid of empty values

print([data])

下面是我得到的输出:

[[[], [u'INTERNATIONAL MARKET'], [u'SPOT Gold'], [u'SPOT Silver'], [u'CrudeOil'], [u'Copper'], [u'NaturalGas'], [u'Dow Jones'], [u'Bank Nifty'], [u'INDIAN MARKET'], [u'MCXGold'], [u'MCXSilver'], [u'MCXCrudeOil'], [u'MCXCopper'], [u'MCXLead'], [u'MCXNickel'], [u'MCXZinc'], [u'MCXNaturalGas'], [u'MCXAluminium'], [u'MCXMenthaOil'], [u'USDINR'], [], [u"Disclaimer: We can't assure any guarantee about the accuaracy of the data."]]]

它不返回任何引号。

这是 HTML 代码:

<table class="table2" border="1">
<tbody>
<tr style="background-color: #DFD9D9; font-size: 16px; ">
<th style="border:4px solid white; text-align:left; ">SYMBOL</th>
<th style="border:4px solid white; text-align:right;">LTP</th>
<th style="border:4px solid white; text-align:right;">HIGH</th>
<th style="border:4px solid white; text-align:right;">LOW</th>
</tr>
<tr style="font-size: 13px; color: black;">
<td colspan="4" style="color:black; text-align:center; font-size:initial; background-color:lightyellow;">INTERNATIONAL MARKET</td>
</tr>
<tr style="font-size: 15px; color: black;">
<td style="color:#3399ff; background-color:#E0F5D6;">SPOT Gold</td>
<td id="goldsell" style="text-align:right;"></td>
<td id="goldhigh" style="text-align:right;"></td>
<td id="goldlow" style="text-align:right;"></td>

</tr>
<tr style="font-size: 15px; color: black;">
<td style="color:#3399ff; background-color:#E0F5D6;">SPOT Silver</td>
<td id="Silversell" style="text-align:right;"></td>
<td id="Silverhigh" style="text-align:right;"></td>
<td id="Silverlow" style="text-align:right;"></td>

</tr>
<tr style="font-size: 15px; color: black;">
<td style="color:#3399ff; background-color:#E0F5D6;">CrudeOil</td>
<td id="CrudeOilsell" style="text-align:right;"></td>
<td id="CrudeOilhigh" style="text-align:right;"></td>
<td id="CrudeOillow" style="text-align:right;"></td>

</tr>
<tr style="font-size: 15px; color: black;">
<td style="color:#3399ff; background-color:#E0F5D6;">Copper</td>
<td id="Coppersell" style="text-align:right;"></td>
<td id="Copperhigh" style="text-align:right;"></td>
<td id="Copperlow" style="text-align:right;"></td>

</tr>
<tr style="font-size: 15px; color: black;">
<td style="color:#3399ff; background-color:#E0F5D6;">NaturalGas</td>
<td id="NaturalGassell" style="text-align:right;"></td>
<td id="NaturalGashigh" style="text-align:right;"></td>
<td id="NaturalGaslow" style="text-align:right;"></td>
</tr>
<tr style="font-size: 15px; color: black;">
<td style="color:#3399ff; background-color:#E0F5D6;">Dow Jones</td>
<td id="DJsell" style="text-align:right;"></td>
<td id="DJhigh" style="text-align:right;"></td>
<td id="DJlow" style="text-align:right;"></td>

</tr>
<tr style="font-size: 15px; color: black;">
<td style="color:#3399ff; background-color:#E0F5D6;">Bank Nifty</td>
<td id="BNsell" style="text-align:right;"></td>
<td id="BNhigh" style="text-align:right;"></td>
<td id="BNlow" style="text-align:right;"></td>
</tr>
<tr style="font-size: 13px; color: black;">
<td colspan="4" style="color:black; text-align:center; font-size:initial; background-color:lightyellow">INDIAN MARKET</td>
</tr>
<tr style="font-size: 15px; color: black;">
<td style="color:#3399ff; background-color:#E0F5D6;">MCXGold</td>
<td id="MCXGoldsell" style="text-align:right;"></td>
<td id="MCXGoldhigh" style="text-align:right;"></td>
<td id="MCXGoldlow" style="text-align:right;"></td>

</tr>
<tr style="font-size: 15px; color: black;">
<td style="color:#3399ff; background-color:#E0F5D6;">MCXSilver</td>
<td id="MCXSilversell" style="text-align:right;"></td>
<td id="MCXSilverhigh" style="text-align:right;"></td>
<td id="MCXSilverlow" style="text-align:right;"></td>

</tr>
<tr style="font-size: 15px;color: black;">
<td style="color:#3399ff; background-color:#E0F5D6;">MCXCrudeOil</td>
<td id="MCXCrudeOilsell" style="text-align:right;"></td>
<td id="MCXCrudeOilhigh" style="text-align:right;"></td>
<td id="MCXCrudeOillow" style="text-align:right;"></td>

</tr>
<tr style="font-size: 15px;color: black;">
<td style="color:#3399ff; background-color:#E0F5D6;">MCXCopper</td>
<td id="MCXCoppersell" style="text-align:right;"></td>
<td id="MCXCopperhigh" style="text-align:right;"></td>
<td id="MCXCopperlow" style="text-align:right;"></td>

</tr>
<tr style="font-size: 15px;color: black;">
<td style="color:#3399ff; background-color:#E0F5D6;">MCXLead</td>
<td id="MCXLeadsell" style="text-align:right;"></td>
<td id="MCXLeadhigh" style="text-align:right;"></td>
<td id="MCXLeadlow" style="text-align:right;"></td>

</tr>
<tr style="font-size: 15px;color: black;">
<td style="color:#3399ff; background-color:#E0F5D6;">MCXNickel</td>
<td id="MCXNickelsell" style="text-align:right;"></td>
<td id="MCXNickelhigh" style="text-align:right;"></td>
<td id="MCXNickellow" style="text-align:right;"></td>

</tr>
<tr style="font-size: 15px;color: black;">
<td style="color:#3399ff; background-color:#E0F5D6;">MCXZinc</td>
<td id="MCXZincsell" style="text-align:right;"></td>
<td id="MCXZinchigh" style="text-align:right;"></td>
<td id="MCXZinclow" style="text-align:right;"></td>

</tr>
<tr style="font-size: 15px;color: black;">
<td style="color:#3399ff; background-color:#E0F5D6;">MCXNaturalGas</td>
<td id="MCXNaturalGassell" style="text-align:right;"></td>
<td id="MCXNaturalGashigh" style="text-align:right;"></td>
<td id="MCXNaturalGaslow" style="text-align:right;"></td>
</tr>
<tr style="font-size: 15px;color: black;">
<td style="color:#3399ff; background-color:#E0F5D6;">MCXAluminium</td>
<td id="MCXAluminiumsell" style="text-align:right;"></td>
<td id="MCXAluminiumhigh" style="text-align:right;"></td>
<td id="MCXAluminiumlow" style="text-align:right;"></td>
</tr>
<tr style="font-size: 15px;color: black;">
<td style="color:#3399ff; background-color:#E0F5D6;">MCXMenthaOil</td>
<td id="MCXMenthaOilsell" style="text-align:right;"></td>
<td id="MCXMenthaOilhigh" style="text-align:right;"></td>
<td id="MCXMenthaOillow" style="text-align:right;"></td>
</tr>
<tr style="font-size: 15px;color: black;">
<td style="color:#3399ff; background-color:#E0F5D6;">USDINR</td>
<td id="USDINRsell" style="text-align:right;"></td>
<td id="USDINRhigh" style="text-align:right;"></td>
<td id="USDINRlow" style="text-align:right;"></td>

</tr>

<tr>
<td id="lastupdate" colspan="4" style="color:grey; text-align:center; background-color:lavender;">
</td>
</tr>

<tr>
<td id="disclaimer" colspan="4" style="color:red; text-align:center; background-color:lavender;">
Disclaimer: We can't assure any guarantee about the accuaracy of the data.
</td>
</tr>

</tbody>
</table>

有谁知道还有什么其他方法可以得到这个实时报价吗?

最佳答案

from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

# De-comment next two lines and add chrome_options=chrome_options to ChromeOptions() run Chrome as headless
# chrome_options = webdriver.ChromeOptions()
# chrome_options.add_argument('--headless')
driver = webdriver.Chrome()

url = "http://www.mcxliverates.in/"
driver.get(url)
xpath = '/html/body/div[1]/div[4]/div[1]/iframe' # this is the where the table that holds our data is located
elem = driver.find_element_by_xpath(xpath)
driver.switch_to.frame(elem)

wait = WebDriverWait(driver, 10)
xpath = '/html/body/div/div/div/table/tbody'
wait.until(EC.presence_of_element_located((By.XPATH, xpath))) # waits until the data is loaded
html = driver.page_source
driver.close()

soup = BeautifulSoup(html, "html.parser")
table = soup.find('table', class_='table2') # BeautifulSoup's built-in way of specifying class
table_body = table.find('tbody')

data = []
rows = table_body.find_all('tr')
for row in rows:
cols = row.find_all('td')
cols = [ele.text.strip() for ele in cols]
data.append([ele for ele in cols if ele]) # Get rid of empty values

print([data])

输出:

[[[], ['INTERNATIONAL MARKET'], ['SPOT Gold', '1330.09', '1335.92', '1320.63'], ['SPOT Silver', '16.585', '16.734', '16.338'], ['CrudeOil', '62.82', '63.02', '60.71'], ['Copper', '3.2300', '3.2304', '3.1430'], ['NaturalGas', '2.660', '2.684', '2.638'], ['Dow Jones', '25034', '25250', '24572'], ['Bank Nifty', '24955.0', '24957.0', '24763.0'], ['INDIAN MARKET'], ['MCXGold', '30564', '30575', '30400'], ['MCXSilver', '38713', '38755', '38250'], ['MCXCrudeOil', '4092', '4104', '3974'], ['MCXCopper', '464.85', '464.85', '453.30'], ['MCXLead', '166.00', '166.30', '161.65'], ['MCXNickel', '895.00', '896.30', '871.10'], ['MCXZinc', '231.60', '231.60', '226.00'], ['MCXNaturalGas', '172.00', '173.10', '170.90'], ['MCXAluminium', '142.10', '142.35', '140.65'], ['MCXMenthaOil', '1252.00', '1299.80', '1246.00'], ['USDINR', '64.9360', '65.1040', '64.8780'], ['Last Updated on  : 11:45:57 22-Feb-2018'], ["Disclaimer: We can't assure any guarantee about the accuaracy of the data."]]]

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关于python - 如何使用 Python 抓取网站数据?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/48931459/

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