[Python] why does the html all have same class and sub-class with different information

I am trying to scrap the house type, EPC rating from the website.

but i noticed that after inspecting the html, house type e.g "freehold" , Epc rating e.g "D" all have the same Class name, and CSS selector

from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium import webdriver
import pandas as pd # Ensure you import pandas
import time

# Initialize WebDriver
driver = webdriver.Chrome()

# Open URL
url = "https://www.zoopla.co.uk/house-prices/england/?new_homes=include&q=england+&orig_q=united+kingdom&view_type=list&pn=1"
driver.get(url)

# Wait for the main content to load (adjust time as needed)
WebDriverWait(driver, 10).until(
EC.presence_of_element_located((By.CLASS_NAME, "_17smgnt0"))
)

# Initialize result list to store data
result = []

# Find all house elements
houses = driver.find_elements(By.CLASS_NAME, "_1hzil3o0")

# Extract and print addresses
for house in houses:
try:
item = {
"address": house.find_element(By.XPATH, './/a/h2').text,
"DateLast_sold": house.find_element(By.CSS_SELECTOR, "._1hzil3o9._1hzil3o8._194zg6t7").text,
"Number of Rooms": house.find_element(By.CLASS_NAME, "_1pbf8i53").text,
"EPC Rating": house.find_element(By.CLASS_NAME, "_14bi3x30").text


}

result.append(item) # Append to the result list
except Exception as e:
print(f"Error extracting address or date: {e}")

# Store the result into a dataframe after the loop
df = pd.DataFrame(result)

# Show the result
print(df)

# Close the driver
driver.quit()


here is a picture of the html file, how can i extract the freehold and EPC rating to show the right information.

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