Files
maru-hleda-byt/scrape_idnes.py
Jan Novak f3f2f3625f Add validation mode, structured logging, and CLI args to all scrapers
- Replace print() with Python logging module across all 6 scrapers
  for configurable log levels (DEBUG/INFO/WARNING/ERROR)
- Add --max-pages, --max-properties, and --log-level CLI arguments
  to each scraper via argparse for limiting scrape scope
- Add validation Make targets (validation, validation-local,
  validation-local-debug) for quick test runs with limited data
- Update run_all.sh to parse and forward CLI args to all scrapers
- Update mapa_bytu.html with latest scrape results

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-14 23:12:59 +01:00

513 lines
18 KiB
Python

#!/usr/bin/env python3
"""
Reality iDNES scraper.
Stáhne byty na prodej v Praze a vyfiltruje podle kritérií.
Výstup: byty_idnes.json
"""
from __future__ import annotations
import argparse
import json
import logging
import math
import re
import time
import urllib.request
import urllib.parse
from html.parser import HTMLParser
from pathlib import Path
logger = logging.getLogger(__name__)
# ── Konfigurace ─────────────────────────────────────────────────────────────
MAX_PRICE = 13_500_000
MIN_AREA = 69
MIN_FLOOR = 2
PER_PAGE = 26 # iDNES vrací 26 na stránku
# Dispozice — kódy pro s-qc[subtypeFlat]
DISPOSITION_CODES = "3k|31|4k|41|5k|51|6k"
# Mapování dispozice z titulku na label
DISPOSITION_MAP = {
"3+kk": "3+kk", "3+1": "3+1",
"4+kk": "4+kk", "4+1": "4+1",
"5+kk": "5+kk", "5+1": "5+1",
"6+kk": "6+", "6+1": "6+",
"6 a více": "6+",
}
HEADERS = {
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
"Accept-Language": "cs,en;q=0.9",
"Accept-Encoding": "identity",
"Connection": "keep-alive",
}
BASE_URL = "https://reality.idnes.cz"
MAX_RETRIES = 5
def fetch_url(url: str) -> str:
"""Fetch URL and return HTML string with retry logic."""
for attempt in range(MAX_RETRIES):
try:
logger.debug(f"HTTP GET request (attempt {attempt + 1}/{MAX_RETRIES}): {url}")
logger.debug(f"Headers: {HEADERS}")
req = urllib.request.Request(url, headers=HEADERS)
resp = urllib.request.urlopen(req, timeout=30)
data = resp.read()
logger.debug(f"HTTP response: status={resp.status}, size={len(data)} bytes")
return data.decode("utf-8")
except (ConnectionResetError, ConnectionError, urllib.error.URLError,
OSError) as e:
if attempt < MAX_RETRIES - 1:
wait = (attempt + 1) * 3 # 3, 6, 9, 12s
logger.warning(f"Connection error (retry {attempt + 1}/{MAX_RETRIES} after {wait}s): {e}")
time.sleep(wait)
else:
logger.error(f"HTTP request failed after {MAX_RETRIES} attempts: {e}", exc_info=True)
raise
def build_list_url(page: int = 0) -> str:
"""Build listing URL with all filters."""
base = f"{BASE_URL}/s/prodej/byty/cena-do-{MAX_PRICE}/praha/"
params = {
"s-qc[subtypeFlat]": DISPOSITION_CODES,
"s-qc[usableAreaMin]": str(MIN_AREA),
}
url = f"{base}?{urllib.parse.urlencode(params)}"
if page > 0:
url += f"&page={page}"
return url
def parse_total_count(html: str) -> int:
"""Extract total listing count from page."""
# Look for "720 inzerátů" or similar
match = re.search(r'(\d[\d\s]*)\s*inzerát', html)
if match:
return int(match.group(1).replace(" ", "").replace("\xa0", ""))
return 0
def parse_listings(html: str) -> list[dict]:
"""Parse listing cards from HTML using regex."""
results = []
# Find each listing block — look for c-products__link with detail URL
# Pattern: <a ... class="c-products__link" href="/detail/..."> ... block ... </a>
# Each listing card contains: title (h2), price (strong), info (p.c-products__info)
# Split by listing items, skip ads
items = re.findall(
r'<div[^>]*class="c-products__item(?:(?!advertisment)[^"]*)"[^>]*>(.*?)</div>\s*</div>\s*</div>',
html, re.DOTALL
)
# Alternative: find all detail links and extract surrounding context
# More robust approach: find each detail link and parse nearby elements
link_pattern = re.compile(
r'<a[^>]*href="([^"]*?/detail/[^"]*?)"[^>]*class="c-products__link"[^>]*>',
re.DOTALL
)
# Also match when class comes before href
link_pattern2 = re.compile(
r'<a[^>]*class="c-products__link"[^>]*href="([^"]*?/detail/[^"]*?)"[^>]*>',
re.DOTALL
)
# Find all c-products__link anchors
all_links = link_pattern.findall(html) + link_pattern2.findall(html)
seen_urls = set()
# For each link, find the surrounding product block
for link_url in all_links:
if link_url in seen_urls:
continue
seen_urls.add(link_url)
# Find context around this link (the product card)
escaped_url = re.escape(link_url)
context_match = re.search(
escaped_url + r'(.*?)</div>\s*</div>',
html, re.DOTALL
)
if not context_match:
continue
block = context_match.group(1)
# Ensure full URL
url = link_url
if not url.startswith("http"):
url = BASE_URL + url
# Skip ads
ad_check_start = max(0, context_match.start() - 500)
ad_block = html[ad_check_start:context_match.start()]
if "advertisment" in ad_block or "advertisement" in ad_block:
continue
# Parse title: <h2 class="c-products__title">prodej bytu 3+kk 79 m2</h2>
title_match = re.search(r'class="c-products__title"[^>]*>(.*?)</h2>', block, re.DOTALL)
title = re.sub(r'<[^>]+>', '', title_match.group(1)).strip().lower() if title_match else ""
# Parse price: <p class="c-products__price"><strong>12 950 000 Kč</strong></p>
price_match = re.search(r'c-products__price[^>]*>.*?<strong>(.*?)</strong>', block, re.DOTALL)
price_text = re.sub(r'<[^>]+>', '', price_match.group(1)).strip() if price_match else ""
# Parse address: <p class="c-products__info">Klečkova, Praha 5 - Stodůlky</p>
info_match = re.search(r'class="c-products__info"[^>]*>(.*?)</p>', block, re.DOTALL)
info = re.sub(r'<[^>]+>', '', info_match.group(1)).strip() if info_match else ""
# Parse disposition and area from title
disp_match = re.search(r'(\d\+(?:kk|\d))', title)
area_match = re.search(r'(\d+)\s*m[²2]', title)
disposition = disp_match.group(1) if disp_match else None
area = int(area_match.group(1)) if area_match else None
if not disposition and ("6 a" in title or "6+" in title):
disposition = "6+"
# Parse price
price = 0
if price_text and "vyžádání" not in price_text.lower():
price_clean = re.sub(r'[^\d]', '', price_text)
if price_clean:
price = int(price_clean)
# Extract listing ID from URL
id_match = re.search(r'/([a-f0-9]{24})/?', url)
listing_id = id_match.group(1) if id_match else url
results.append({
"id": listing_id,
"url": url,
"disposition": DISPOSITION_MAP.get(disposition, disposition or "?"),
"area": area,
"price": price,
"locality": info,
})
return results
def parse_detail(html: str) -> dict:
"""Parse detail page for GPS, floor, construction, ownership."""
detail = {}
# 1. Parse dataLayer.push() for GPS and other data
dl_match = re.search(
r'dataLayer\.push\(\s*(\{[^}]+?"listing_lat"[^}]+?\})\s*\)',
html, re.DOTALL
)
if dl_match:
# Clean up JS object to valid JSON
js_obj = dl_match.group(1)
# Replace single quotes with double, handle trailing commas, etc.
# The dataLayer is usually valid JSON-like, let's try parsing
try:
# Remove JS comments, handle unquoted keys
# Most importantly: listing_lat, listing_lon, listing_price, listing_area
lat_match = re.search(r'"listing_lat"\s*:\s*([\d.]+)', js_obj)
lon_match = re.search(r'"listing_lon"\s*:\s*([\d.]+)', js_obj)
if lat_match:
detail["lat"] = float(lat_match.group(1))
if lon_match:
detail["lon"] = float(lon_match.group(1))
except (ValueError, AttributeError):
pass
# 2. Parse DT/DD pairs for floor, construction, ownership
# Pattern: <dt>Label</dt><dd>Value</dd>
dt_dd_pairs = re.findall(
r'<dt[^>]*>(.*?)</dt>\s*<dd[^>]*>(.*?)</dd>',
html, re.DOTALL
)
for dt, dd in dt_dd_pairs:
dt_clean = re.sub(r'<[^>]+>', '', dt).strip().lower()
dd_clean = re.sub(r'<[^>]+>', '', dd).strip()
if "podlaží" in dt_clean or "podlazi" in dt_clean or "patro" in dt_clean:
# "2. patro (3. NP)" or "3. podlaží z celkem 5"
# Try to find NP first
np_match = re.search(r'(\d+)\.\s*NP', dd_clean)
if np_match:
detail["floor"] = int(np_match.group(1))
else:
# Try "X. patro" — patro = NP - 1 usually, but iDNES seems to use NP directly
patro_match = re.search(r'(\d+)', dd_clean)
if patro_match:
detail["floor"] = int(patro_match.group(1))
if "konstrukce" in dt_clean or "stavba" in dt_clean:
detail["construction"] = dd_clean.lower()
if "vlastnictví" in dt_clean or "vlastnictvi" in dt_clean:
detail["ownership"] = dd_clean
return detail
def format_price(price: int) -> str:
s = str(price)
parts = []
while s:
parts.append(s[-3:])
s = s[:-3]
return " ".join(reversed(parts)) + ""
def load_cache(json_path: str = "byty_idnes.json") -> dict[str, dict]:
"""Load previously scraped data as cache keyed by hash_id."""
path = Path(json_path)
if not path.exists():
return {}
try:
data = json.loads(path.read_text(encoding="utf-8"))
return {str(e["hash_id"]): e for e in data if "hash_id" in e}
except (json.JSONDecodeError, KeyError):
return {}
def scrape(max_pages: int | None = None, max_properties: int | None = None):
cache = load_cache()
logger.info("=" * 60)
logger.info("Stahuji inzeráty z Reality iDNES")
logger.info(f"Cena: do {format_price(MAX_PRICE)}")
logger.info(f"Min. plocha: {MIN_AREA}")
logger.info(f"Patro: od {MIN_FLOOR}. NP")
logger.info(f"Region: Praha")
if cache:
logger.info(f"Cache: {len(cache)} bytů z minulého běhu")
if max_pages:
logger.info(f"Max. stran: {max_pages}")
if max_properties:
logger.info(f"Max. bytů: {max_properties}")
logger.info("=" * 60)
# Step 1: Fetch listing pages
logger.info("\nFáze 1: Stahování seznamu inzerátů...")
all_listings = {} # id -> listing dict
page = 0
total = None
while True:
if max_pages and page >= max_pages:
logger.debug(f"Max pages limit reached: {max_pages}")
break
url = build_list_url(page)
logger.info(f"Strana {page + 1} ...")
html = fetch_url(url)
if total is None:
total = parse_total_count(html)
total_pages = math.ceil(total / PER_PAGE) if total > 0 else 1
logger.info(f"→ Celkem {total} inzerátů, ~{total_pages} stran")
listings = parse_listings(html)
logger.debug(f"Page {page}: found {len(listings)} listings")
if not listings:
logger.debug(f"No listings found on page {page}, stopping")
break
for item in listings:
lid = item["id"]
if lid not in all_listings:
all_listings[lid] = item
page += 1
if total and page >= math.ceil(total / PER_PAGE):
break
time.sleep(1.0)
logger.info(f"\nStaženo: {len(all_listings)} unikátních inzerátů")
# Step 2: Pre-filter by price and area from list data
pre_filtered = []
excluded_price = 0
excluded_area = 0
excluded_disp = 0
for item in all_listings.values():
item_id = item["id"]
if item["price"] <= 0 or item["price"] > MAX_PRICE:
excluded_price += 1
logger.debug(f"Filter: id={item_id} - excluded (price {item['price']})")
continue
if item["area"] is not None and item["area"] < MIN_AREA:
excluded_area += 1
logger.debug(f"Filter: id={item_id} - excluded (area {item['area']} m²)")
continue
if item["disposition"] == "?":
excluded_disp += 1
logger.debug(f"Filter: id={item_id} - excluded (unknown disposition)")
continue
pre_filtered.append(item)
logger.info(f"\nPo předfiltraci:")
logger.info(f" Vyloučeno (cena): {excluded_price}")
logger.info(f" Vyloučeno (plocha): {excluded_area}")
logger.info(f" Vyloučeno (dispozice): {excluded_disp}")
logger.info(f" Zbývá: {len(pre_filtered)}")
# Step 3: Fetch details for GPS, floor, construction
logger.info(f"\nFáze 2: Stahování detailů ({len(pre_filtered)} bytů)...")
results = []
excluded_panel = 0
excluded_floor = 0
excluded_no_gps = 0
excluded_detail = 0
cache_hits = 0
properties_fetched = 0
for i, item in enumerate(pre_filtered):
if max_properties and properties_fetched >= max_properties:
logger.debug(f"Max properties limit reached: {max_properties}")
break
# Check cache — if hash_id exists and price unchanged, reuse
cached = cache.get(str(item["id"]))
if cached and cached.get("price") == item["price"]:
cache_hits += 1
logger.debug(f"Cache hit for id={item['id']}")
results.append(cached)
continue
url = item["url"]
time.sleep(0.4)
try:
html = fetch_url(url)
except Exception as e:
excluded_detail += 1
logger.warning(f"Detail failed for id={item['id']}: {e}")
continue
detail = parse_detail(html)
logger.debug(f"Detail parsed for id={item['id']}: lat={detail.get('lat')}, lon={detail.get('lon')}, floor={detail.get('floor')}")
# Must have GPS
if not detail.get("lat") or not detail.get("lon"):
excluded_no_gps += 1
logger.debug(f"Filter: id={item['id']} - excluded (no GPS)")
continue
# Check construction — exclude panel
construction = detail.get("construction", "")
if "panel" in construction:
excluded_panel += 1
logger.debug(f"Filter: id={item['id']} - excluded (panel construction)")
logger.info(f"✗ Vyloučen {item['id'][:12]}...: panel ({construction})")
continue
# Check for sídliště in construction/description
if "sídliště" in construction or "sidliste" in construction:
excluded_panel += 1
logger.debug(f"Filter: id={item['id']} - excluded (housing estate)")
logger.info(f"✗ Vyloučen {item['id'][:12]}...: sídliště")
continue
# Check floor
floor = detail.get("floor")
if floor is not None and floor < MIN_FLOOR:
excluded_floor += 1
logger.debug(f"Filter: id={item['id']} - excluded (floor {floor})")
continue
# Map construction to Czech label
building_type = "neuvedeno"
if construction:
if "cihlo" in construction or "cihla" in construction:
building_type = "Cihlová"
elif "smíšen" in construction or "smisen" in construction:
building_type = "Smíšená"
elif "skelet" in construction:
building_type = "Skeletová"
elif "dřevo" in construction or "drevo" in construction:
building_type = "Dřevostavba"
elif "mont" in construction:
building_type = "Montovaná"
else:
building_type = construction.capitalize()
result = {
"hash_id": item["id"],
"name": f"Prodej bytu {item['disposition']} {item.get('area', '?')}",
"price": item["price"],
"price_formatted": format_price(item["price"]),
"locality": item["locality"],
"lat": detail["lat"],
"lon": detail["lon"],
"disposition": item["disposition"],
"floor": floor,
"area": item["area"],
"building_type": building_type,
"ownership": detail.get("ownership", "neuvedeno"),
"url": item["url"],
"source": "idnes",
"image": "",
}
results.append(result)
properties_fetched += 1
if (i + 1) % 20 == 0:
logger.info(f"Zpracováno {i + 1}/{len(pre_filtered)} ...")
logger.info(f"\n{'=' * 60}")
logger.info(f"Výsledky Reality iDNES:")
logger.info(f" Předfiltrováno: {len(pre_filtered)}")
logger.info(f" Z cache (přeskočeno): {cache_hits}")
logger.info(f" Vyloučeno (panel/síd): {excluded_panel}")
logger.info(f" Vyloučeno (patro): {excluded_floor}")
logger.info(f" Vyloučeno (bez GPS): {excluded_no_gps}")
logger.info(f" Vyloučeno (bez detailu): {excluded_detail}")
logger.info(f" ✓ Vyhovující byty: {len(results)}")
logger.info(f"{'=' * 60}")
return results
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Scrape apartments from Reality iDNES")
parser.add_argument("--max-pages", type=int, default=None,
help="Maximum number of listing pages to scrape")
parser.add_argument("--max-properties", type=int, default=None,
help="Maximum number of properties to fetch details for")
parser.add_argument("--log-level", type=str, default="INFO", choices=["DEBUG", "INFO", "WARNING", "ERROR"],
help="Logging level (default: INFO)")
args = parser.parse_args()
# Configure logging
logging.basicConfig(
level=getattr(logging, args.log_level),
format="[%(levelname)s] %(asctime)s - %(name)s - %(message)s",
handlers=[logging.StreamHandler()]
)
start = time.time()
estates = scrape(max_pages=args.max_pages, max_properties=args.max_properties)
if estates:
json_path = Path("byty_idnes.json")
json_path.write_text(
json.dumps(estates, ensure_ascii=False, indent=2),
encoding="utf-8",
)
elapsed = time.time() - start
logger.info(f"\n✓ Data uložena: {json_path.resolve()}")
logger.info(f"⏱ Celkový čas: {elapsed:.0f} s")
else:
logger.info("\nŽádné byty z Reality iDNES neodpovídají kritériím :(")