In Python, BeautifulSoup provides powerful methods for parsing HTML documents. When faced with a scenario like this where you need to retrieve specific data from a table, BeautifulSoup comes in handy.
To extract the targeted line items table, utilize soup.find(), specifying the appropriate attributes within the parentheses. In this case, you'll need:
table = soup.find("table", {"class": "lineItemsTable"})
Next, you can iterate over each row in the table using table.findAll("tr"). Within each row, you can access the table cells (td) using row.findAll("td").
Here's an enhanced code snippet:
data = []
table_body = table.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]) # Remove empty values
This code will produce a list of lists, with each sublist representing a row in the table. It will efficiently capture the necessary data from the website.
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