Python BeautifulSoup Parsing Table: Comprehensive Guide
When extracting data from HTML tables using Python's BeautifulSoup, understanding how to parse the specific table layout is crucial. In this scenario, the challenge lies in parsing the "lineItemsTable" from a parking ticket website.
To extract the tickets, follow these steps:
<code class="python"># Retrieve the table element table = soup.find("table", {"class": "lineItemsTable"}) # Initialize an empty list to store the tickets data = [] # Iterate over each row in the table for row in table.findAll("tr"): # Extract each cell in the row cells = row.findAll("td") # Clean the cell data and store it in a list cells = [cell.text.strip() for cell in cells] # If the row contains valid data, append it to the list if cells: data.append([cell for cell in cells if cell])</code>
This approach results in a list of lists, where each inner list represents the data from a single ticket row, excluding empty values. Here's an example output:
[[u'1359711259', u'SRF', u'08/05/2013', u'5310 4 AVE', u'K', u'19', u'125.00', u'$'], [u'7086775850', u'PAS', u'12/14/2013', u'3908 6th Ave', u'K', u'40', u'125.00', u'$'], [u'7355010165', u'OMT', u'12/14/2013', u'3908 6th Ave', u'K', u'40', u'145.00', u'$'], [...]]
Additional Notes:
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