import requests
from bs4 import BeautifulSoup
import re

BASE_URL = "https://www.bestattung-aichinger.at"
URL = f"{BASE_URL}/traueranzeigen--5683197-de.html"

def get_page_content(url):
    page = requests.get(url)
    return BeautifulSoup(page.content, "html.parser")

def extract_data(soup):
    death_table = soup.find("ul", attrs={"class": "homepage_unterseiten_layout_todesanzeigen"})
    death_table_data = death_table.find_all("li")
    for row in death_table_data:
        date_span = row.find('span', class_='homepage_unterseiten_layout_datum')
        date_death = date_span.text.replace('†', '').strip() if date_span else None

        title_span = row.find('span', class_='homepage_unterseiten_layout_titel')

        if title_span:
            title_text = title_span.get_text(separator='\n')
            title_parts = title_text.split('\n')
            title_left = title_parts[0].strip() if len(title_parts) > 0 else None
            title_right = title_parts[1].strip() if len(title_parts) > 1 else None
        else:
            title_left = title_right = None

        print(date_death, title_left, title_right)

def find_next_page(current_url):
    match = re.search(r'\?p=(\d+)', current_url)
    if match:
        next_page_num = int(match.group(1)) + 1
    else:
        next_page_num = 2
    next_page_url = f"{BASE_URL}/traueranzeigen--5683197-de.html?p={next_page_num}"
    return next_page_url

current_url = URL
while current_url:
    soup = get_page_content(current_url)
    extract_data(soup)
    current_url = find_next_page(current_url)