如何从页面中两个同class的表格提取仅值数据

Got it, let's work through this problem together. You're trying to extract just the text values (no HTML tags) from two tables that share the same prop-list class, and you've hit snags with both BeautifulSoup's find_all and Selenium XPath. Here are two straightforward solutions tailored to your use case:

If the page content loads fully without needing JavaScript interactions, this is the faster approach. We'll target all prop-list tables, then pull out only the text from their value cells:

import requests
from bs4 import BeautifulSoup

# Fetch the page content
url = "https://www.redbook.com.au/cars/details/2019-honda-civic-50-years-edition-auto-my19/SPOT-ITM-524208/"
response = requests.get(url)
soup = BeautifulSoup(response.text, "html.parser")

# Grab all tables with the target class
tables = soup.find_all("table", class_="prop-list")

# Extract values from each table separately
for table_num, table in enumerate(tables, 1):
    print(f"--- Table {table_num} Values ---")
    # Find every 'value' cell in the current table
    value_cells = table.find_all("td", class_="value")
    for cell in value_cells:
        # Get clean text (strip removes extra whitespace)
        print(cell.get_text(strip=True))

Output you'll get: #

--- Table 1 Values ---
Alloy
215/55 R16
16x7.0
215/55 R16
16x7.0
--- Table 2 Values ---
Rack and Pinion

Your tables are inside a hidden div (display: none), so you might need to first expand the collapsible section before extracting values. Here's how to fix your XPath approach to get pure text:

from selenium import webdriver
from selenium.webdriver.common.by import By

driver = webdriver.Chrome()
driver.get(url)

# Optional: Expand the collapsible panel (since tables are hidden by default)
# Adjust the index if your tables are in a different collapsible section
collapsible_headers = driver.find_elements(By.CLASS_NAME, "bh_collapsible-header")
collapsible_headers[4].click()  # Index starts at 0; matches your original XPath's section

# Extract values from the first table
print("--- Table 1 Values ---")
table1_values = driver.find_elements(By.XPATH, "//table[@class='prop-list'][1]//td[@class='value']")
for elem in table1_values:
    print(elem.text)  # elem.text automatically gives you just the text, no tags

# Extract values from the second table
print("\n--- Table 2 Values ---")
table2_values = driver.find_elements(By.XPATH, "//table[@class='prop-list'][2]//td[@class='value']")
for elem in table2_values:
    print(elem.text)

driver.quit()

Why your original XPath didn't work: #

You were targeting a single td element instead of all value cells in the table. Using find_elements (plural) with the path //table[@class='prop-list'][1]//td[@class='value'] grabs every value cell in the first table, and elem.text strips out all HTML tags to give you just the content you need.

内容的提问来源于stack exchange，提问作者user11669928