Programmiererforum

from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from undetected_chromedriver import Chrome
from selenium.webdriver.remote.webelement import WebElement
from selenium.webdriver.remote.webdriver import WebDriver
from selenium.common.exceptions import TimeoutException, NoSuchElementException
from selenium.webdriver.common.action_chains import ActionChains
from typing import cast
from collections.abc import Iterator
import pandas as pd

# Constants
URL = "https://www.zoopla.co.uk/house-prices/north-east-england/?new_homes=include&q=North+East&orig_q=england&identifier=england&view_type=list&search_source=home&recent_search=true"
TIMEOUT = 5

# Helper function to extract text from a WebElement
def etext(e: WebElement) -> str:
if e:
if t := e.text.strip():
return t
if (p := e.get_property("textContent")) and isinstance(p, str):
return p.strip()
return ""

# Click the WebElement
def click(driver: WebDriver, e: WebElement) -> None:
ActionChains(driver).click(e).perform()

# Get all WebElements that match the given CSS selector
def get_all(driver: WebDriver, css: str) -> Iterator[WebElement]:
wait = WebDriverWait(driver, TIMEOUT)
sel = (By.CSS_SELECTOR, css)
try:
yield from wait.until(EC.presence_of_all_elements_located(sel))
except TimeoutException:
pass

# Look for the Next button and click it
def click_next(driver: WebDriver) -> None:
for a in get_all(driver, "a[aria-live=polite] > div > div:nth-child(2)"):
if etext(a) == "Next":
click(driver, a)
break

# Handle cookie consent popup
def click_through(driver: WebDriver) -> None:
try:
wait = WebDriverWait(driver, TIMEOUT)
shadow_root = driver.find_element(By.ID, "usercentrics-root").shadow_root
button = wait.until(EC.element_to_be_clickable(
(By.CSS_SELECTOR, "button[data-testid=uc-deny-all-button]")
))
click(driver, button)
except Exception:
pass  # Ignore if cookies popup is not present

# Scrape data from each page
def scrape_page(driver: WebDriver) ->  list[dict]:
result = []
for house in get_all(driver, "div[data-testid=result-item]"):
try:
address = etext(house.find_element(By.CSS_SELECTOR, "h2"))
Number_of_rooms = etext(house.find_element(By.CSS_SELECTOR, "._1pbf8i51 div:nth-child(2) p"))
result.append({"Address": address,"Number of rooms": Number_of_rooms})
except NoSuchElementException:
continue  # Skip missing elements
return result

# Main script execution
if __name__ == "__main__":
with Chrome() as driver:
driver.get(URL)
click_through(driver)  # Handle cookies

all_results = []
prev_url = ""
npages = 0

while prev_url != driver.current_url:  # Check for Cloudflare intervention
prev_url = driver.current_url
all_results.extend(scrape_page(driver))
click_next(driver)
npages += 1

# Convert results to DataFrame
df = pd.DataFrame(all_results)
print(df)  # Display results
print(f"Processed {npages} pages")
< /code>
Aber wenn Sie auf eine Auflistung klicken, finden Sie die EPC -Bewertung, ich möchte auch dies kratzen: < /p>
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 listing URL
listing_url = "https://www.zoopla.co.uk/property/uprn/4510108329/"
driver.get(listing_url)

# Wait for the main content to load (adjust time as needed)
WebDriverWait(driver, 10).until(
EC.presence_of_element_located((By.CLASS_NAME, "_1vhryas1"))
)

# Initialize result list to store data
result = []

# Find all house elements
houses = driver.find_elements(By.CLASS_NAME, "_1vhryas1")

# Extract and print addresses
for house in houses:
try:
item = {
"EPC rating": house.find_element(By.XPATH,'//*[@id="main-content"]/div[1]/div/div/div[1]/div/div[2]/div[4]/div/div[3]/div').text
# "Flood risk": house.find_element(By.CSS_SELECTOR, '#main-content > div.z3kgis2 > div > div > div._1365ry20 > div > div._10b7mfk0 > dialog:nth-child(5) > div > div._1eyq7or1d._1eyq7or1f._1eyq7or1q > div > div._10m149w1._10m149w2 > div._10m149w3 > h3 > div > div').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()

Ich habe einige Informationen von einer Haupt -URL abgeschafft, die die Adresse und die Anzahl der Räume anzeigt, die mehrere Seiten schleifen: < /p>
[code]from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from undetected_chromedriver import Chrome
from selenium.webdriver.remote.webelement import WebElement
from selenium.webdriver.remote.webdriver import WebDriver
from selenium.common.exceptions import TimeoutException, NoSuchElementException
from selenium.webdriver.common.action_chains import ActionChains
from typing import cast
from collections.abc import Iterator
import pandas as pd

# Constants
URL = "https://www.zoopla.co.uk/house-prices/north-east-england/?new_homes=include&q=North+East&orig_q=england&identifier=england&view_type=list&search_source=home&recent_search=true"
TIMEOUT = 5

# Helper function to extract text from a WebElement
def etext(e: WebElement) -> str:
if e:
if t := e.text.strip():
return t
if (p := e.get_property("textContent")) and isinstance(p, str):
return p.strip()
return ""

# Click the WebElement
def click(driver: WebDriver, e: WebElement) -> None:
ActionChains(driver).click(e).perform()

# Get all WebElements that match the given CSS selector
def get_all(driver: WebDriver, css: str) -> Iterator[WebElement]:
wait = WebDriverWait(driver, TIMEOUT)
sel = (By.CSS_SELECTOR, css)
try:
yield from wait.until(EC.presence_of_all_elements_located(sel))
except TimeoutException:
pass

# Look for the Next button and click it
def click_next(driver: WebDriver) -> None:
for a in get_all(driver, "a[aria-live=polite] > div > div:nth-child(2)"):
if etext(a) == "Next":
click(driver, a)
break

# Handle cookie consent popup
def click_through(driver: WebDriver) -> None:
try:
wait = WebDriverWait(driver, TIMEOUT)
shadow_root = driver.find_element(By.ID, "usercentrics-root").shadow_root
button = wait.until(EC.element_to_be_clickable(
(By.CSS_SELECTOR, "button[data-testid=uc-deny-all-button]")
))
click(driver, button)
except Exception:
pass # Ignore if cookies popup is not present

# Scrape data from each page
def scrape_page(driver: WebDriver) -> list[dict]:
result = []
for house in get_all(driver, "div[data-testid=result-item]"):
try:
address = etext(house.find_element(By.CSS_SELECTOR, "h2"))
Number_of_rooms = etext(house.find_element(By.CSS_SELECTOR, "._1pbf8i51 div:nth-child(2) p"))
result.append({"Address": address,"Number of rooms": Number_of_rooms})
except NoSuchElementException:
continue # Skip missing elements
return result

# Main script execution
if __name__ == "__main__":
with Chrome() as driver:
driver.get(URL)
click_through(driver) # Handle cookies

all_results = []
prev_url = ""
npages = 0

while prev_url != driver.current_url: # Check for Cloudflare intervention
prev_url = driver.current_url
all_results.extend(scrape_page(driver))
click_next(driver)
npages += 1

# Convert results to DataFrame
df = pd.DataFrame(all_results)
print(df) # Display results
print(f"Processed {npages} pages")
< /code>
Aber wenn Sie auf eine Auflistung klicken, finden Sie die EPC -Bewertung, ich möchte auch dies kratzen: < /p>
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 listing URL
listing_url = "https://www.zoopla.co.uk/property/uprn/4510108329/"
driver.get(listing_url)

# Wait for the main content to load (adjust time as needed)
WebDriverWait(driver, 10).until(
EC.presence_of_element_located((By.CLASS_NAME, "_1vhryas1"))
)

# Initialize result list to store data
result = []

# Find all house elements
houses = driver.find_elements(By.CLASS_NAME, "_1vhryas1")

# Extract and print addresses
for house in houses:
try:
item = {
"EPC rating": house.find_element(By.XPATH,'//*[@id="main-content"]/div[1]/div/div/div[1]/div/div[2]/div[4]/div/div[3]/div').text
# "Flood risk": house.find_element(By.CSS_SELECTOR, '#main-content > div.z3kgis2 > div > div > div._1365ry20 > div > div._10b7mfk0 > dialog:nth-child(5) > div > div._1eyq7or1d._1eyq7or1f._1eyq7or1q > div > div._10m149w1._10m149w2 > div._10m149w3 > h3 > div > div').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()
[/code]
Wenn Sie den Code separat ausführen, werden Sie feststellen >
Ich möchte das Ergebnis so, dass es alle Adressen, Zahlen von Räumen und EPC -Bewertungen für alle Eigenschaften in tabellischer Form zurückgibt. < /p>