I'm getting soup using this:
soup = BeautifulSoup(html, 'lxml').find("tbody").find_all("tr")
And then soup object contains multiple similar tr> objects just like this:
<tr>
<td class="table">115</td>
<td>204</td>
<td><div><span class="flag-icon"></span> United States <span> NY </span></div></td>
<td>brown</td>
<td>up</td>
<td class="table">groove</td>
</tr>
So, my goal is - to get stripped text data from just 1,2,4 and put them together to small list. Like this:
[115, 204, 'brown']
And after I got all the small lists from all , I have to add all of them to big list. Like this:
[[115, 204, 'brown'], [32, 12, 'red'] ... [42, 87, 'yellow']]
To be honest, I did it using two for loops, and sliced needed small list items to append a big list. But I assume, there is much better and simplier way to do that.
Maybe you have some ideas how to use powerful abilities of BeautifulSoup in my case?
Try the following:-
rows = BeautifulSoup(html, 'lxml').find("tbody").find_all("tr")
bigList = []
for row in rows:
tds = row.find_all("td")
bigList.append([tds[0].text, tds[1].text, tds[3].text])
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