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Python web scraping problems - result different from soruce code

The code below is not able to scrape the class_=datarow. i have tried to use read_html as well, but there are tables inside this table class="table_equities", which makes the read_html not working for me. I have no idea how to get the table.
from bs4 import BeautifulSoup
import pandas as pd
import requests
import openpyxl
import scrapy
path = 'C:/Users/pacc_/OneDrive/Desktop/Eric/Investment/Trading record python.xlsx'
page_link = 'https://www.hkex.com.hk/Market-Data/Securities-Prices/Equities?sc_lang=en'
page_response = requests.get(page_link, timeout=2)
page_content = BeautifulSoup(page_response.content, "html.parser")
data = page_content.find(class_='table_equities')
print(data)
My result：
<table class="table_equities">
<tr>
<th class="th code">
<table>
<thead>
<tr>
<th class="text"></th>
<th class="ico"><i></i></th>
</tr>
</thead>
</table>
</th>
<th class="th name">
<table>
<thead>
<tr>
<th class="text"></th>
<th class="ico"><i></i></th>
</tr>
</thead>
</table>
</th>
<th class="th price">
<table>
<thead>
<tr>
<th class="text"></th>
<th class="ico"><i></i></th>
</tr>
</thead>
</table>
</th>
<th class="th turnover selected uppercase">
<table>
<thead>
<tr>
<th class="text"></th>
<th class="ico"><i></i></th>
</tr>
</thead>
</table>
</th>
<th class="th mktcap">
<table>
<thead>
<tr>
<th class="text"></th>
<th class="ico"><i></i></th>
</tr>
</thead>
</table>
</th>
<th class="th pe">
<table>
<thead>
<tr>
<th class="text"></th>
<th class="ico"><i></i></th>
</tr>
</thead>
</table>
</th>
<th class="th div_yield">
<table>
<thead>
<tr>
<th class="text"></th>
<th class="ico"><i></i></th>
</tr>
</thead>
</table>
</th>
<th class="th intraday">
<table>
<thead>
<tr>
<th class="text"></th>
<th class="ico"><i></i></th>
</tr>
</thead>
</table>
</th>
</tr>
</table>
Target url structure:
<table class="table_equities">
<tbody>
<tr>
<th class="th code">
<table>
<thead>
<tr>
<th class="text">Stock Code</th>
<th class="ico"><i></i></th>
</tr>
</thead>
</table>
</th>
<th class="th name">
<table>
<thead>
<tr>
<th class="text">Name</th>
<th class="ico"><i></i></th>
</tr>
</thead>
</table>
</th>
<th class="th price">
<table>
<thead>
<tr>
<th class="text">Nominal Price</th>
<th class="ico"><i></i></th>
</tr>
</thead>
</table>
</th>
<th class="th turnover selected uppercase">
<table>
<thead>
<tr>
<th class="text">Turnover (HK$)</th>
<th class="ico"><i></i></th>
</tr>
</thead>
</table>
</th>
<th class="th mktcap">
<table>
<thead>
<tr>
<th class="text">Market Cap (HK$)</th>
<th class="ico"><i></i></th>
</tr>
</thead>
</table>
</th>
<th class="th pe">
<table>
<thead>
<tr>
<th class="text">P/E</th>
<th class="ico"><i></i></th>
</tr>
</thead>
</table>
</th>
<th class="th div_yield">
<table>
<thead>
<tr>
<th class="text">Dividend Yield (%)</th>
<th class="ico"><i></i></th>
</tr>
</thead>
</table>
</th>
<th class="th intraday">
<table>
<thead>
<tr>
<th class="text">Intraday Movement</th>
<th class="ico"><i></i></th>
</tr>
</thead>
</table>
</th>
</tr>
<tr class="datarow">
<td class="code"><a>909</a></td>
<td class="name"><a>MING YUAN CLOUD</a></td>
<td class="price"><bdo>HK$30.700</bdo>
<br>
<div><span>0.000</span> (<span>0.00%</span>)</div>
</td>
<td class="turnover">8.35B</td>
<td class="market">57.44B</td>
<td class="pe">-</td>
<td class="dividend">-</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=0909.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (909)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>700</a></td>
<td class="name"><a>TENCENT</a></td>
<td class="price"><bdo>HK$503.500</bdo>
<br>
<div class="downval"><span>-1.500</span> (<span>-0.30%</span>)</div>
</td>
<td class="turnover">6.69B</td>
<td class="market">4,824.90B</td>
<td class="pe">46.13x</td>
<td class="dividend">0.24%</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=0700.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (700)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>9988</a></td>
<td class="name"><a>BABA-SW</a></td>
<td class="price"><bdo>HK$258.000</bdo>
<br>
<div class="downval"><span>-3.000</span> (<span>-1.15%</span>)</div>
</td>
<td class="turnover">3.97B</td>
<td class="market">5,584.43B</td>
<td class="pe">-</td>
<td class="dividend">-</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=9988.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (9988)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>3690</a></td>
<td class="name"><a>MEITUAN-W</a></td>
<td class="price"><bdo>HK$232.000</bdo>
<br>
<div class="downval"><span>-6.600</span> (<span>-2.77%</span>)</div>
</td>
<td class="turnover">3.75B</td>
<td class="market">1,364.39B</td>
<td class="pe">547.17x</td>
<td class="dividend">-</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=3690.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (3690)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>3333</a></td>
<td class="name"><a>EVERGRANDE</a></td>
<td class="price"><bdo>HK$13.780</bdo>
<br>
<div class="downval"><span>-1.440</span> (<span>-9.46%</span>)</div>
</td>
<td class="turnover">2.80B</td>
<td class="market">180.00B</td>
<td class="pe">9.59x</td>
<td class="dividend">5.15%</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=3333.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (3333)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>1810</a></td>
<td class="name"><a>XIAOMI-W</a></td>
<td class="price"><bdo>HK$19.720</bdo>
<br>
<div class="downval"><span>-0.120</span> (<span>-0.60%</span>)</div>
</td>
<td class="turnover">2.69B</td>
<td class="market">475.78B</td>
<td class="pe">42.69x</td>
<td class="dividend">-</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=1810.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (1810)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>2318</a></td>
<td class="name"><a>PING AN</a></td>
<td class="price"><bdo>HK$80.350</bdo>
<br>
<div class="downval"><span>-0.100</span> (<span>-0.12%</span>)</div>
</td>
<td class="turnover">1.49B</td>
<td class="market">598.41B</td>
<td class="pe">8.61x</td>
<td class="dividend">2.89%</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=2318.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (2318)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>388</a></td>
<td class="name"><a>HKEX</a></td>
<td class="price"><bdo>HK$355.800</bdo>
<br>
<div class="downval"><span>-1.800</span> (<span>-0.50%</span>)</div>
</td>
<td class="turnover">1.49B</td>
<td class="market">451.09B</td>
<td class="pe">47.50x</td>
<td class="dividend">1.88%</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=0388.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (388)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>1918</a></td>
<td class="name"><a>SUNAC</a></td>
<td class="price"><bdo>HK$28.950</bdo>
<br>
<div class="downval"><span>-1.600</span> (<span>-5.24%</span>)</div>
</td>
<td class="turnover">1.36B</td>
<td class="market">134.94B</td>
<td class="pe">4.44x</td>
<td class="dividend">4.64%</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=1918.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (1918)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>981</a></td>
<td class="name"><a>SMIC</a></td>
<td class="price"><bdo>HK$18.580</bdo>
<br>
<div class="downval"><span>-0.760</span> (<span>-3.93%</span>)</div>
</td>
<td class="turnover">1.35B</td>
<td class="market">143.03B</td>
<td class="pe">59.55x</td>
<td class="dividend">-</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=0981.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (981)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>1299</a></td>
<td class="name"><a>AIA</a></td>
<td class="price"><bdo>HK$77.650</bdo>
<br>
<div class="upval"><span>+1.000</span> (<span>+1.30%</span>)</div>
</td>
<td class="turnover">1.34B</td>
<td class="market">939.05B</td>
<td class="pe">18.03x</td>
<td class="dividend">1.65%</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=1299.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (1299)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>2300</a></td>
<td class="name"><a>AMVIG HOLDINGS</a></td>
<td class="price"><bdo>HK$2.140</bdo>
<br>
<div class="upval"><span>+0.700</span> (<span>+48.61%</span>)</div>
</td>
<td class="turnover">1.31B</td>
<td class="market">1.98B</td>
<td class="pe">6.35x</td>
<td class="dividend">5.33%</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=2300.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (2300)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>1398</a></td>
<td class="name"><a>ICBC</a></td>
<td class="price"><bdo>HK$3.990</bdo>
<br>
<div class="downval"><span>-0.030</span> (<span>-0.75%</span>)</div>
</td>
<td class="turnover">1.28B</td>
<td class="market">346.30B</td>
<td class="pe">4.32x</td>
<td class="dividend">7.20%</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=1398.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (1398)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>5</a></td>
<td class="name"><a>HSBC HOLDINGS</a></td>
<td class="price"><bdo>HK$28.200</bdo>
<br>
<div class="downval"><span>-0.400</span> (<span>-1.40%</span>)</div>
</td>
<td class="turnover">1.20B</td>
<td class="market">583.52B</td>
<td class="pe">12.21x</td>
<td class="dividend">2.78%</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=0005.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (5)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>939</a></td>
<td class="name"><a>CCB</a></td>
<td class="price"><bdo>HK$5.020</bdo>
<br>
<div class="downval"><span>-0.040</span> (<span>-0.79%</span>)</div>
</td>
<td class="turnover">1.10B</td>
<td class="market">1,206.89B</td>
<td class="pe">4.36x</td>
<td class="dividend">6.97%</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=0939.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (939)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>9618</a></td>
<td class="name"><a>JD-SW</a></td>
<td class="price"><bdo>HK$282.200</bdo>
<br>
<div class="downval"><span>-6.200</span> (<span>-2.15%</span>)</div>
</td>
<td class="turnover">1.08B</td>
<td class="market">883.22B</td>
<td class="pe">-</td>
<td class="dividend">-</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=9618.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (9618)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>1658</a></td>
<td class="name"><a>PSBC</a></td>
<td class="price"><bdo>HK$3.160</bdo>
<br>
<div class="upval"><span>+0.060</span> (<span>+1.94%</span>)</div>
</td>
<td class="turnover">1.05B</td>
<td class="market">62.74B</td>
<td class="pe">4.01x</td>
<td class="dividend">7.23%</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=1658.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (1658)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>9633</a></td>
<td class="name"><a>NONGFU SPRING</a></td>
<td class="price"><bdo>HK$35.150</bdo>
<br>
<div class="downval"><span>-2.850</span> (<span>-7.50%</span>)</div>
</td>
<td class="turnover">1.01B</td>
<td class="market">174.92B</td>
<td class="pe">-</td>
<td class="dividend">-</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=9633.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (9633)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>1211</a></td>
<td class="name"><a>BYD COMPANY</a></td>
<td class="price"><bdo>HK$103.100</bdo>
<br>
<div class="downval"><span>-0.400</span> (<span>-0.39%</span>)</div>
</td>
<td class="turnover">844.11M</td>
<td class="market">94.33B</td>
<td class="pe">188.21x</td>
<td class="dividend">0.06%</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=1211.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (1211)"></td>
</tr>
<tr class="datarow">
<td class="code"><a>708</a></td>
<td class="name"><a>EVERG VEHICLE</a></td>
<td class="price"><bdo>HK$16.820</bdo>
<br>
<div class="downval"><span>-2.460</span> (<span>-12.76%</span>)</div>
</td>
<td class="turnover">789.41M</td>
<td class="market">148.29B</td>
<td class="pe">-</td>
<td class="dividend">-</td>
<td class="intraday"><img width="82" height="33" src="https://www1.hkex.com.hk/hkexwidget/chart/genchart?&sym=0708.HK&int=2&per=1&w=82&h=33&bottom=2&mode=8&tm=1601021280000" alt="Stock Chart (708)"></td>
</tr>
</tbody>
</table>

The table is being loaded dynamically using javascript. If you inspect element and use the networking tab you can see the XHR calls being made to get the data. I would try looking at these and then scrape from the api directly.

How to extract the following lines after pattern match

the web source is like this:
<div class="MT12">
<table class="tblchart" border="0" cellspacing="0" cellpadding="0">
<tr>
<th rowspan="2" width="100" align="left" valign="top">Date</th>
<th rowspan="2" width="100" style="text-align:right;" valign="top">Open</th>
<th rowspan="2" width="100" style="text-align:right;" valign="top">High</th>
<th rowspan="2" width="100" style="text-align:right;" valign="top">Low</th>
<th rowspan="2" width="100" style="text-align:right;" valign="top">Close</th>
<th colspan="2" style="text-align:center;" valign="top">- SPREAD -</th>
</tr>
<tr>
<th width="100" style="text-align:right;" valign="top">(High-Low)</th>
<th width="100" style="text-align:right;" valign="top" class="last">(Open-Close)</th>
</tr>
<tr>
<td align="left" valign="top">2019-12-24</td>
<td valign="top" style="text-align:right;">12269.25</td>
<td valign="top" class="b_12vv" style="text-align:right">12283.70</td>
<td valign="top" style="text-align:right;">12202.10</td>
<td valign="top" style="text-align:right;">12214.55</td>
<td valign="top" style="text-align:right;">81.60</td>
<td align="right" valign="top" class="last" style="text-align:right;">54.70</td>
</tr>
<tr>
<td align="left" valign="top">2019-12-23</td>
<td valign="top" style="text-align:right;">12235.45</td>
<td valign="top" class="b_12vv" style="text-align:right">12287.15</td>
<td valign="top" style="text-align:right;">12213.25</td>
<td valign="top" style="text-align:right;">12262.75</td>
<td valign="top" style="text-align:right;">73.90</td>
<td align="right" valign="top" class="last" style="text-align:right;">-27.30</td>
</tr>
<tr>
<td align="left" valign="top">2019-12-20</td>
<td valign="top" style="text-align:right;">12266.45</td>
<td valign="top" class="b_12vv" style="text-align:right">12293.90</td>
<td valign="top" style="text-align:right;">12252.75</td>
<td valign="top" style="text-align:right;">12271.80</td>
<td valign="top" style="text-align:right;">41.15</td>
<td align="right" valign="top" class="last" style="text-align:right;">-5.35</td>
</tr>
</table>
</div>
I want to get the following numbers for every date:
say for example I have to get the numbers 12269.25, 12283.70, 12202.10 and 12214.55 for a particular date (2019-12-24). Then proceed for the next date given.
I am facing difficulty because I need to select next 4 lines(whose xpath is not exatly related much as shown above) following each date in the page. The dates can range from single date to 100-200 dates.
Can anybody please help with webdriver code snippet for the same.
Thanks a lot

Can this meet your needs
from simplified_scrapy.simplified_doc import SimplifiedDoc
html = '''<div class="MT12">
<table class="tblchart" border="0" cellspacing="0" cellpadding="0">
<tr>
<th rowspan="2" width="100" align="left" valign="top">Date</th>
<th rowspan="2" width="100" style="text-align:right;" valign="top">Open</th>
<th rowspan="2" width="100" style="text-align:right;" valign="top">High</th>
<th rowspan="2" width="100" style="text-align:right;" valign="top">Low</th>
<th rowspan="2" width="100" style="text-align:right;" valign="top">Close</th>
<th colspan="2" style="text-align:center;" valign="top">- SPREAD -</th>
</tr>
<tr>
<th width="100" style="text-align:right;" valign="top">(High-Low)</th>
<th width="100" style="text-align:right;" valign="top" class="last">(Open-Close)</th>
</tr>
<tr>
<td align="left" valign="top">2019-12-24</td>
<td valign="top" style="text-align:right;">12269.25</td>
<td valign="top" class="b_12vv" style="text-align:right">12283.70</td>
<td valign="top" style="text-align:right;">12202.10</td>
<td valign="top" style="text-align:right;">12214.55</td>
<td valign="top" style="text-align:right;">81.60</td>
<td align="right" valign="top" class="last" style="text-align:right;">54.70</td>
</tr>
<tr>
<td align="left" valign="top">2019-12-23</td>
<td valign="top" style="text-align:right;">12235.45</td>
<td valign="top" class="b_12vv" style="text-align:right">12287.15</td>
<td valign="top" style="text-align:right;">12213.25</td>
<td valign="top" style="text-align:right;">12262.75</td>
<td valign="top" style="text-align:right;">73.90</td>
<td align="right" valign="top" class="last" style="text-align:right;">-27.30</td>
</tr>
<tr>
<td align="left" valign="top">2019-12-20</td>
<td valign="top" style="text-align:right;">12266.45</td>
<td valign="top" class="b_12vv" style="text-align:right">12293.90</td>
<td valign="top" style="text-align:right;">12252.75</td>
<td valign="top" style="text-align:right;">12271.80</td>
<td valign="top" style="text-align:right;">41.15</td>
<td align="right" valign="top" class="last" style="text-align:right;">-5.35</td>
</tr>
</table>
</div>'''
doc = SimplifiedDoc(html)
table = doc.getElement(tag='table',value='tblchart')
trs = table.trs.notContains('<th') # get tr
for tr in trs:
tds = tr.tds # get all td
data = [td.text for td in tds]
print (data[0],data[1],data[2],data[3],data[4])

Get <td> text using python selenium

<html>
<body>
<table style="border:0">
<tbody>
<tr class="">
<td class="pr10">Mon</td>
<td class="pl10">11am – 11pm</td>
</tr>
<tr class="">
<td class="pr10">Tue</td>
<td class="pl10">11am – 11pm</td>
</tr>
<tr class="bold">
<td class="pr10">Wed</td>
<td class="pl10">11am – 11pm</td>
</tr>
<tr class="">
<td class="pr10">Thu</td>
<td class="pl10">11am – 11pm</td>
</tr>
<tr class="">
<td class="pr10">Fri</td>
<td class="pl10">11am – 11pm</td>
</tr>
<tr class="">
<td class="pr10">Sat</td>
<td class="pl10">11am – 11pm</td>
</tr>
<tr class="">
<td class="pr10">Sun</td>
<td class="pl10">11am – 11pm</td>
</tr>
</tbody>
</table>
</html>
</body>
Try 1:
driver.find_elements_by_xpath("//*[#class='pr10']")
Try 2:
driver.find_element_by_xpath("//tr[td='Mon']/td").text
But it not fetching the text "Mon" "11am - 11pm"
text_area = driver.find_elements_by_xpath("//*[#class='pr10']")
for items2 in text_area:
print(items2.text)

try this instead:
text_area = driver.find_elements_by_xpath("""//*[#id="body"]/table/tbody/tr[1]/td[1]""")
print([elm.get_attribute('innerHTML') for elm in text_area])

Table extraction: BeautifulSoup vs. Pandas.read_html

I have an html file taken from this link, but I am not being able to extract any sort of table neither with bs4.BeautifulSoup() nor with pandas.read_html. I understand that each row of my desired table starts with <tr class='odd'>. Despite that, something is not working when I pass soup.find({'class': 'odd'}) or pd.read_html(url, attrs = {'class': 'odd'}). Where is the mistake or what should I do instead?
The beginning of the table apparently starts in requests.get(url).content[8359:].
<table style="background-color:#FFFEEE; border-width:thin; border-collapse:collapse; border-spacing:0; border-style:outset;" rules="groups" >
<colgroup>
<colgroup>
<colgroup>
<colgroup>
<colgroup span="3">
<colgroup span="3">
<colgroup span="3">
<colgroup span="3">
<colgroup>
<tbody>
<tr style="vertical-align:middle; background-color:#177A9C">
<th scope="col" style="text-align:center">Ion</th>
<th scope="col" style="text-align:center"> Observed <br /> Wavelength <br /> Vac (nm) </th>
<th scope="col" style="text-align:center; white-space:nowrap"> <i>g<sub>k</sub>A<sub>ki</sub></i><br /> (10<sup>8</sup> s<sup>-1</sup>) </th>
<th scope="col"> Acc. </th>
<th scope="col" style="text-align:center; white-space:nowrap"> <i>E<sub>i</sub></i> <br /> (eV) </th>
<th> </th>
<th scope="col" style="text-align:center; white-space:nowrap"> <i>E<sub>k</sub></i> <br /> (eV) </th>
<th scope="col" style="text-align:center" colspan="3"> Lower Level <br /> Conf., Term, J </th>
<th scope="col" style="text-align:center" colspan="3"> Upper Level <br /> Conf., Term, J </th>
<th scope="col" style="text-align:center"> <i>g<sub>i</sub></i> </th>
<th scope="col" style="text-align:center"> <b>-</b> </th>
<th scope="col" style="text-align:center"> <i>g<sub>k</sub></i> </th>
<th scope="col" style="text-align:center"> Type </th>
</tr>
</tbody>
<tbody>
<tr>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
</tr>
<tr class='odd'>
<td class="lft1"><b>C I</b> </td>
<td class="fix"> 193.090540 </td>
<td class="lft1">1.02e+01 </td>
<td class="lft1"> A</td>
<td class="fix">1.2637284 </td>
<td class="dsh">- </td>
<td class="fix">7.68476771 </td>
<td class="lft1"> 2<i>s</i><sup>2</sup>2<i>p</i><sup>2</sup> </td>
<td class="lft1"> <sup>1</sup>D </td>
<td class="lft1"> 2 </td>
<td class="lft1"> 2<i>s</i><sup>2</sup>2<i>p</i>3<i>s</i> </td>
<td class="lft1"> <sup>1</sup>P° </td>
<td class="lft1"> 1 </td>
<td class="rgt"> 5</td>
<td class="dsh">-</td>
<td class="lft1">3 </td>
<td class="cnt"><sup></sup><sub></sub></td>
</tr>

This code can give you a jump start on this project, however, if you're looking for someone to build the whole project, request data, scrape, store, manipulate I would suggest hiring someone or learning how to do it. HERE is the BeautifulSoup Documentation.
Go through (the quickstart guide) it once and you'll pretty much be know all there is on bs4.
import requests
from bs4 import BeautifulSoup
from time import sleep
url = 'https://physics.nist.gov/'
second_part = 'cgi-bin/ASD/lines1.pl?spectra=C%20I%2C%20Ti%20I&limits_type=0&low_w=190&upp_w=250&unit=1&de=0&format=0&line_out=0&no_spaces=on&remove_js=on&en_unit=1&output=0&bibrefs=0&page_size=15&show_obs_wl=1&unc_out=0&order_out=0&max_low_enrg=&show_av=2&max_upp_enrg=&tsb_value=0&min_str=&A_out=1&A8=1&max_str=&allowed_out=1&forbid_out=1&min_accur=&min_intens=&conf_out=on&term_out=on&enrg_out=on&J_out=on&g_out=on&submit=Retrieve%20Data%27'
page = requests.get(url+second_part)
soup = BeautifulSoup(page.content, "lxml")
whole_table = soup.find('table', rules='groups')
sub_tbody = whole_table.find_all('tbody')
# the two above lines are used to locate the table and the content
# we then continue to iterate through sub-categories i.e. tbody-s > tr-s > td-s
for tag in sub_tbody:
if tag.find('tr').find('td'):
table_rows = tag.find_all('tr')
for tag2 in table_rows:
if tag2.has_attr('class'):
td_tags = tag2.find_all('td')
print(td_tags[0].text, '<- Is the ion')
print(td_tags[1].text, '<- Wavelength')
print(td_tags[2].text, '<- Some formula gk Aki')
# and so on...
print('--'*40) # unecessary but does print ----------...
else:
pass

You need to search for the tags and then the class. So using the lxml parser;
soup = BeautifulSoup(yourdata, 'lxml')
for i in soup.find_all('tr',attrs={'class':"odd"}):
print(i.text)
From this point you can write this data directly to a file or generate an array (list of lists - your rows) then put into pandas etc etc.

Python Conditionally Add Class to <td> Tags in HTML Table

I have some data in the form of a csv file that I'm reading into Python and converting to an HTML table using Pandas.
Heres some example data:
name threshold col1 col2 col3
A 10 12 9 13
B 15 18 17 23
C 20 19 22 25
And some code:
import pandas as pd
df = pd.read_csv("data.csv")
table = df.to_html(index=False)
This creates the following HTML:
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th>name</th>
<th>threshold</th>
<th>col1</th>
<th>col2</th>
<th>col3</th>
</tr>
</thead>
<tbody>
<tr>
<td>A</td>
<td>10</td>
<td>12</td>
<td>9</td>
<td>13</td>
</tr>
<tr>
<td>B</td>
<td>15</td>
<td>18</td>
<td>17</td>
<td>23</td>
</tr>
<tr>
<td>C</td>
<td>20</td>
<td>19</td>
<td>22</td>
<td>25</td>
</tr>
</tbody>
</table>
No I want to conditionally add a class to each cell in the html table if its value is less than a certain threshold. The threshold is different for each row in the table.
So given the example data above, I want to add a class, class="custom" to cell col2 with name A and to cell col1 with name C. In CSS, I will then fill the cell color as red if it has the "custom" class.
The result would be something like:
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th>name</th>
<th>threshold</th>
<th>col1</th>
<th>col2</th>
<th>col3</th>
</tr>
</thead>
<tbody>
<tr>
<td>A</td>
<td>10</td>
<td>12</td>
<td class="custom">9</td>
<td>13</td>
</tr>
<tr>
<td>B</td>
<td>15</td>
<td>18</td>
<td>17</td>
<td>23</td>
</tr>
<tr>
<td>C</td>
<td>20</td>
<td class="custom">19</td>
<td>22</td>
<td>25</td>
</tr>
</tbody>
</table>
How can this be achieved using Beautiful Soup?

Using BeautifulSoup you can add a class to the tags attrs as you would set a key/value in a dictionary:
soup = BeautifulSoup(html,"html.parser")
for row in soup.select("tbody tr"):
tds = row.find_all("td")
if int(tds[3].text) < int(tds[1].text):
tds[3]["class"] = "custom"
if int(tds[2].text) < int(tds[1].text):
tds[2]["class"] = "custom"
Which using your input html would give you:
<html><body><table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th>name</th>
<th>threshold</th>
<th>col1</th>
<th>col2</th>
<th>col3</th>
</tr>
</thead>
<tbody>
<tr>
<td>A</td>
<td>10</td>
<td>12</td>
<td class="custom">9</td>
<td>13</td>
</tr>
<tr>
<td>B</td>
<td>15</td>
<td>18</td>
<td>17</td>
<td>23</td>
</tr>
<tr>
<td>C</td>
<td>20</td>
<td class="custom">19</td>
<td>22</td>
<td>25</td>
</tr>
</tbody>
</table></body></html>
Just use whatever it is in the if that decides whether to add it or not.