"""
adapters/ssr.py — HTML/SSR-based makelaars
Elke scraper is een functie () -> list[RawListing].
Voeg nieuwe toe onderaan en registreer in SCRAPERS.
"""
import logging
import re
import time
import httpx
from bs4 import BeautifulSoup
import config
from huizenbot import RawListing
log = logging.getLogger("huizenbot.ssr")
# ---------------------------------------------------------------------------
# Gedeelde HTTP helper
# ---------------------------------------------------------------------------
def fetch_soup(url: str, *, params: dict = None) -> BeautifulSoup:
"""
GET request → BeautifulSoup. Handelt 429 af met Retry-After.
"""
for attempt in range(3):
r = httpx.get(
url,
params=params,
headers={"User-Agent": config.USER_AGENT},
timeout=15,
follow_redirects=True,
)
if r.status_code == 429:
wait = int(r.headers.get("Retry-After", 60))
log.warning("429 op %s, wacht %ds", url, wait)
time.sleep(wait)
continue
r.raise_for_status()
return BeautifulSoup(r.text, "html.parser")
raise RuntimeError(f"Blijvend 429 op {url}")
# ---------------------------------------------------------------------------
# Parse helpers
# ---------------------------------------------------------------------------
def parse_prijs(text: str | None) -> int | None:
"""'€ 325.000 k.k.' → 325000"""
if not text:
return None
digits = re.sub(r"[^\d]", "", text)
return int(digits) if digits else None
def parse_m2(text: str | None) -> int | None:
"""'87 m²' → 87"""
if not text:
return None
m = re.search(r"(\d+)", text.replace(".", ""))
return int(m.group(1)) if m else None
# ---------------------------------------------------------------------------
# Realworks CMS (shared)
# ---------------------------------------------------------------------------
_REALWORKS_STATUS_MAP = {
"te koop": "beschikbaar",
"nieuw": "beschikbaar",
"onder bod": "onder_bod",
"onder optie": "onder_bod",
"verkocht o.v.": "verkocht",
"verkocht": "verkocht",
}
def _realworks_detail(detail_url: str, makelaar: str) -> dict:
"""Fetch a Realworks detail page and extract kenmerken. Returns empty dict on failure."""
try:
soup = fetch_soup(detail_url)
# Build a label→value map from all .kenmerk spans
kv: dict[str, str] = {}
for kenmerk in soup.select("span.kenmerk"):
label_el = kenmerk.select_one("span.kenmerkName")
value_el = kenmerk.select_one("span.kenmerkValue")
if label_el and value_el:
label = label_el.get_text(strip=True).lower()
value = value_el.get_text(strip=True)
kv[label] = value
return {
"woningtype": kv.get("type woning"),
"bouwjaar": kv.get("bouwjaar"),
"woonoppervlak": kv.get("woonoppervlakte"),
"perceeloppervlak": kv.get("perceeloppervlakte"),
"kamers": kv.get("aantal kamers"),
"slaapkamers": kv.get("aantal slaapkamers"),
"energielabel": kv.get("energieklasse"),
}
except Exception as e:
log.warning("%s: detail fetch fout %s: %s", makelaar, detail_url, e)
return {}
def fetch_realworks(base_url: str, makelaar: str) -> list[RawListing]:
"""
Generic fetcher for Realworks CMS brokers.
Paginates via /pagina-{n}/, fetches detail page per listing.
"""
listings_path = f"/aanbod/woningaanbod/-{config.MAX_PRICE}/koop"
listings = []
page = 1
while True:
url = f"{base_url}{listings_path}/pagina-{page}/"
soup = fetch_soup(url)
cards = soup.select("li.aanbodEntry")
if not cards:
break
for card in cards:
try:
a_tag = card.select_one("a.aanbodEntryLink")
if not a_tag:
continue
listing_url = base_url + a_tag["href"]
adres = _text(card, ".street-address")
postcode = (_text(card, ".postal-code") or "").replace(" ", "") or None
stad = _text(card, ".locality")
prijs = parse_prijs(_text(card, ".koopprijs .kenmerkValue"))
status_text = (_text(card, ".objectstatusbanner") or "").lower()
status = _REALWORKS_STATUS_MAP.get(status_text, "beschikbaar")
img_tag = card.select_one(".hoofdfoto img")
hero = img_tag["src"] if img_tag else None
kk = _realworks_detail(listing_url, makelaar)
listings.append(RawListing(
url=listing_url,
source_makelaar=makelaar,
adres=adres,
postcode=postcode,
stad=stad,
prijs=prijs,
status=status,
hero_image_url=hero,
woningtype=kk.get("woningtype"),
bouwjaar=int(kk["bouwjaar"]) if kk.get("bouwjaar") else None,
woonoppervlak=parse_m2(kk.get("woonoppervlak")),
perceeloppervlak=parse_m2(kk.get("perceeloppervlak")),
kamers=int(kk["kamers"]) if kk.get("kamers") else None,
slaapkamers=int(kk["slaapkamers"]) if kk.get("slaapkamers") else None,
energielabel=kk.get("energielabel"),
))
if config.APP_ENV == "dev":
break
except Exception as e:
log.warning("%s: parse fout: %s", makelaar, e)
if len(cards) < 10:
break
page += 1
log.info("%s: %d listings opgehaald", makelaar, len(listings))
return listings
# ---------------------------------------------------------------------------
# Anke Bodewes Makelaardij
# ---------------------------------------------------------------------------
def fetch_ankebodewes() -> list[RawListing]:
return fetch_realworks("https://www.ankebodewes.nl", "ankebodewes")
# ---------------------------------------------------------------------------
# Woongoed Makelaars Schiedam
# ---------------------------------------------------------------------------
def fetch_woongoed() -> list[RawListing]:
return fetch_realworks("https://www.woongoedmakelaars.nl", "woongoed")
# ---------------------------------------------------------------------------
# De Witte Garantiemakelaars
# ---------------------------------------------------------------------------
_DEWITTE_BASE = "https://dewittegarantiemakelaars.nl"
_DEWITTE_PILL_MAP = {
"bg-fun-green": "beschikbaar",
"bg-sold": "verkocht",
}
_DEWITTE_TYPE_MAP = {
"Apartment": "appartement",
"House": "woning",
"SingleFamilyResidence": "woning",
"Residence": "woning",
}
def _dewitte_jsonld(detail_url: str) -> dict:
"""Fetch detail page and return parsed JSON-LD dict, or {} on failure."""
import json
try:
soup = fetch_soup(detail_url)
tag = soup.select_one('script[type="application/ld+json"]')
if not tag:
log.warning("dewitte: geen JSON-LD op %s", detail_url)
return {}
return json.loads(tag.string)
except Exception as e:
log.warning("dewitte: JSON-LD fout %s: %s", detail_url, e)
return {}
def fetch_dewittegarantiemakelaars() -> list[RawListing]:
listings = []
page = 1
while True:
url = (
f"{_DEWITTE_BASE}/woningaanbod"
f"?buy_rent=buy&buy_price=1-{config.MAX_PRICE}&page={page}"
)
soup = fetch_soup(url)
cards = soup.select("div.card.card--property")
if not cards:
break
for card in cards:
try:
a_tag = card.select_one("a.card__anchor")
if not a_tag:
continue
detail_url = a_tag["href"]
if not detail_url.startswith("http"):
detail_url = _DEWITTE_BASE + detail_url
pill = card.select_one("span.pill")
pill_classes = pill.get("class", []) if pill else []
status_key = next(
(c for c in pill_classes if c.startswith("bg-")), None
)
status = _DEWITTE_PILL_MAP.get(status_key, "onder_bod")
ld = _dewitte_jsonld(detail_url)
if not ld:
continue
offered = ld.get("itemOffered", {})
address = offered.get("address", {})
floor_size = offered.get("floorSize", {})
postcode = address.get("postalCode", "").replace(" ", "") or None
stad = address.get("addressLocality") or None
adres = address.get("streetAddress") or None
prijs = ld.get("price")
if prijs and int(prijs) > config.MAX_PRICE:
continue
woningtype = _DEWITTE_TYPE_MAP.get(offered.get("@type", ""))
woonoppervlak = int(floor_size["value"]) if floor_size.get("value") else None
kamers = offered.get("numberOfRooms")
bouwjaar = offered.get("yearBuilt")
# Full-res image from JSON-LD, fall back to card thumbnail
hero = ld.get("image")
if not hero:
img = card.select_one("picture img")
hero = img["src"] if img else None
listings.append(RawListing(
url=detail_url,
source_makelaar="dewittegarantiemakelaars",
status=status,
adres=adres,
postcode=postcode,
stad=stad,
prijs=int(prijs) if prijs else None,
woningtype=woningtype,
woonoppervlak=woonoppervlak,
kamers=int(kamers) if kamers else None,
bouwjaar=int(bouwjaar) if bouwjaar else None,
hero_image_url=hero,
))
if config.APP_ENV == "dev":
break
except Exception as e:
log.warning("dewitte: parse fout: %s", e)
if len(cards) < 10:
break
page += 1
log.info("dewittegarantiemakelaars: %d listings opgehaald", len(listings))
return listings
# ---------------------------------------------------------------------------
# Makelaardij Wassenaar (Schiedam)
# ---------------------------------------------------------------------------
# Realworks CMS. Listings page has JSON-LD (Residence) with url/address/price/photo.
# Detail pages have span.kenmerk with Wassenaar-specific label names.
_WASSENAAR_BASE = "https://www.makelaardijwassenaar.nl"
_WASSENAAR_STATUS_MAP = {
"te koop": "beschikbaar",
"nieuw": "beschikbaar",
"onder bod": "onder_bod",
"onder optie": "onder_bod",
"verkocht o.v.": "onder_bod",
"verkocht onder voorbehoud": "onder_bod",
"verkocht": "verkocht",
}
def _wassenaar_detail(detail_url: str) -> dict:
"""Fetch Realworks detail page; extract kenmerken with Wassenaar-specific labels."""
try:
soup = fetch_soup(detail_url)
kv: dict[str, str] = {}
for kenmerk in soup.select("span.kenmerk"):
label_el = kenmerk.select_one("span.kenmerkName")
value_el = kenmerk.select_one("span.kenmerkValue")
if label_el and value_el:
kv[label_el.get_text(strip=True).lower()] = value_el.get_text(strip=True)
return {
"woningtype": kv.get("soort object"),
"bouwjaar": kv.get("bouwjaar"),
"woonoppervlak": kv.get("woonoppervlakte"),
"perceeloppervlak": kv.get("perceeloppervlakte"),
"kamers": kv.get("aantal kamers"),
"slaapkamers": kv.get("aantal slaapkamers"),
"energielabel": kv.get("energieklasse"),
}
except Exception as e:
log.warning("wassenaar: detail fetch fout %s: %s", detail_url, e)
return {}
def fetch_wassenaar() -> list[RawListing]:
import json as _json
soup = fetch_soup(f"{_WASSENAAR_BASE}/aanbod/woningaanbod/-{config.MAX_PRICE}/koop/")
# First pass: collect status + thumbnail per relative url
# Each listing has two a.aanbodEntryLink with the same href;
# the first has the status banner + photo, the second has address + price.
status_by_url: dict[str, str] = {}
photo_by_url: dict[str, str] = {}
for a in soup.select("a.aanbodEntryLink[href]"):
href = a["href"]
if href in status_by_url:
continue
banner = a.select_one(".objectstatusbanner")
status_text = banner.get_text(strip=True).lower() if banner else ""
status_by_url[href] = _WASSENAAR_STATUS_MAP.get(status_text, "beschikbaar")
img = a.select_one("span.hoofdfoto img")
if img:
src = img.get("src", "")
if "geenfotobeschikbaar" not in src:
photo_by_url[href] = src
# Second pass: parse JSON-LD blocks (one per listing)
seen: set[str] = set()
listings = []
for tag in soup.select('script[type="application/ld+json"]'):
try:
ld = _json.loads(tag.string)
if ld.get("@type") != "Residence":
continue
rel_url = ld.get("url", "")
if not rel_url or rel_url in seen:
continue
seen.add(rel_url)
detail_url = _WASSENAAR_BASE + rel_url
address = ld.get("address", {})
postcode = address.get("postalCode", "").replace(" ", "") or None
price_spec = next(
(a.get("priceSpecification", {}) for a in ld.get("potentialAction", [])
if a.get("priceSpecification")),
{}
)
prijs = int(price_spec["price"]) if price_spec.get("price") else None
if prijs and prijs > config.MAX_PRICE:
continue
hero = ld.get("photo") or photo_by_url.get(rel_url)
status = status_by_url.get(rel_url, "beschikbaar")
kk = _wassenaar_detail(detail_url)
listings.append(RawListing(
url=detail_url,
source_makelaar="wassenaar",
status=status,
adres=address.get("streetAddress") or None,
postcode=postcode,
stad=address.get("addressLocality") or None,
prijs=prijs,
hero_image_url=hero,
woningtype=kk.get("woningtype"),
bouwjaar=int(kk["bouwjaar"]) if kk.get("bouwjaar") else None,
woonoppervlak=parse_m2(kk.get("woonoppervlak")),
perceeloppervlak=parse_m2(kk.get("perceeloppervlak")),
kamers=int(kk["kamers"]) if kk.get("kamers") else None,
slaapkamers=int(kk["slaapkamers"]) if kk.get("slaapkamers") else None,
energielabel=kk.get("energielabel"),
))
if config.APP_ENV == "dev":
break
except Exception as e:
log.warning("wassenaar: parse fout: %s", e)
log.info("wassenaar: %d listings opgehaald", len(listings))
return listings
# ---------------------------------------------------------------------------
# SSR helper utils
# ---------------------------------------------------------------------------
def _text(soup, selector: str) -> str | None:
el = soup.select_one(selector)
return el.get_text(strip=True) if el else None
def _src(soup, selector: str) -> str | None:
el = soup.select_one(selector)
if el is None:
return None
return el.get("src") or el.get("data-src")
def _extract_postcode(text: str | None) -> str | None:
if not text:
return None
m = re.search(r"\b(\d{4}\s?[A-Z]{2})\b", text)
return m.group(1).replace(" ", "") if m else None
def _infer_stad(postcode: str | None) -> str | None:
"""Simpele mapping op basis van postcode range — uitbreiden naar wens."""
if not postcode:
return None
code = int(postcode[:4])
if 2600 <= code <= 2629:
return "Delft"
if 3100 <= code <= 3135:
return "Schiedam"
return None
# ---------------------------------------------------------------------------
# D&S Makelaars (Schiedam)
# ---------------------------------------------------------------------------
_DS_BASE = "https://www.densmakelaars.nl"
_DS_STATUS_MAP = {
"onder bod": "onder_bod",
"te koop": "beschikbaar",
"nieuw": "beschikbaar",
"beschikbaar": "beschikbaar",
"verkocht": "verkocht",
}
def _ds_detail(detail_url: str, html_text: str = None) -> dict:
"""Fetch D&S detail page and extract all kenmerken from
/ pairs and postcode from maps URL."""
try:
# If html_text not provided, fetch it
if html_text is None:
import httpx
r = httpx.get(
detail_url,
headers={"User-Agent": config.USER_AGENT},
timeout=15,
follow_redirects=True,
)
html_text = r.text
soup = BeautifulSoup(html_text, "html.parser")
# Parse / pairs into a label → value map
kv: dict[str, str] = {}
dts = soup.select("dt")
dds = soup.select("dd")
for dt, dd in zip(dts, dds):
label = dt.get_text(strip=True).lower()
value = dd.get_text(strip=True)
kv[label] = value
# Extract postcode from Google Maps URL in iframe src
# Pattern: q=...POSTCODE...,CITY where POSTCODE is 4 digits + 2 letters
postcode = None
m = re.search(r'q=.+?,(\d{4})\s+([A-Z]{2}),', html_text)
if m:
postcode = f"{m.group(1)}{m.group(2)}"
# Extract specific fields
result = {
"status": kv.get("status", "beschikbaar").lower(),
"woningtype": kv.get("soort woning"),
"bouwjaar": kv.get("bouwjaar"),
"woonoppervlak": kv.get("woonoppervlakte"),
"kamers": kv.get("aantal kamers"),
"slaapkamers": kv.get("aantal slaapkamers"),
"energielabel": kv.get("energielabel"),
"postcode": postcode,
}
return result
except Exception as e:
log.warning("dens: detail fetch fout %s: %s", detail_url, e)
return {}
def fetch_dens() -> list[RawListing]:
"""Fetch D&S Makelaars listings with full detail pages."""
listings = []
page = 1
while True:
url = f"{_DS_BASE}/aanbod/koopwoningen?page={page}"
soup = fetch_soup(url)
cards = soup.select(".col-12.col-md-4.object-wrapper")
if not cards:
break
for card in cards:
try:
# Extract URL
a_tag = card.select_one("a.property")
if not a_tag or "href" not in a_tag.attrs:
continue
detail_url = a_tag["href"]
if not detail_url.startswith("http"):
detail_url = _DS_BASE + detail_url
# Extract listing page data
status_label = _text(card, "span.label") or "beschikbaar"
status_label = status_label.strip().lower()
status = _DS_STATUS_MAP.get(status_label, "beschikbaar")
adres = _text(card, "h3")
stad = _text(card, "h4")
prijs_text = _text(card, "div.price")
prijs = parse_prijs(prijs_text)
# Extract area and rooms from footer
footer_spans = card.select("div.footer span")
woonoppervlak = None
kamers = None
for span in footer_spans:
text = span.get_text(strip=True)
if "m²" in text:
woonoppervlak = parse_m2(text)
elif "kamers" in text.lower():
m = re.search(r"(\d+)", text)
if m:
kamers = int(m.group(1))
# Extract hero image
img_tag = card.select_one("img")
hero = img_tag["src"] if img_tag else None
# Fetch and parse detail page
detail_data = _ds_detail(detail_url)
# Use postcode from detail data (extracted from Google Maps URL)
postcode = detail_data.get("postcode")
# Determine status from detail page if available
if detail_data.get("status"):
status = _DS_STATUS_MAP.get(detail_data["status"], status)
# Build listing
listings.append(RawListing(
url=detail_url,
source_makelaar="dens",
adres=adres,
postcode=postcode,
stad=stad or _infer_stad(postcode),
prijs=prijs,
status=status,
hero_image_url=hero,
woningtype=detail_data.get("woningtype"),
bouwjaar=int(detail_data["bouwjaar"]) if detail_data.get("bouwjaar") else None,
woonoppervlak=parse_m2(detail_data.get("woonoppervlak")) or woonoppervlak,
kamers=int(detail_data["kamers"]) if detail_data.get("kamers") else kamers,
slaapkamers=int(detail_data["slaapkamers"]) if detail_data.get("slaapkamers") else None,
energielabel=detail_data.get("energielabel"),
))
if config.APP_ENV == "dev":
break
except Exception as e:
log.warning("dens: parse fout: %s", e)
if len(cards) < 10:
break
page += 1
log.info("dens: %d listings opgehaald", len(listings))
return listings
# ---------------------------------------------------------------------------
# 3D Makelaars (Schiedam/Vlaardingen)
# ---------------------------------------------------------------------------
_3D_BASE = "https://3dmakelaars.nl"
def _3dmakelaars_detail(detail_url: str) -> dict:
"""Fetch 3dmakelaars detail page and extract structured info block."""
try:
soup = fetch_soup(detail_url)
# Parse structured info block: span (label) + p (value) pairs
kv: dict[str, str] = {}
for li in soup.select("div.tl-adiltional-inforamtion ul.tl-adiltional-listed li"):
label_el = li.select_one("span")
value_el = li.select_one("p")
if label_el and value_el:
label = label_el.get_text(strip=True).lower()
value = value_el.get_text(strip=True)
kv[label] = value
# Extract postcode from first description paragraph
postcode = None
p_tag = soup.select_one(".omschrijving > p:nth-child(1)")
if p_tag:
text = p_tag.get_text()
postcode = _extract_postcode(text)
return {
"kamers": int(kv["aantal kamers"].split()[0]) if "aantal kamers" in kv else None,
"slaapkamers": int(kv["aantal slaapkamers"].split()[0]) if "aantal slaapkamers" in kv else None,
"bouwjaar": int(kv["bouwjaar"]) if "bouwjaar" in kv else None,
"woningtype": kv.get("bouwvorm"),
"woonoppervlak": parse_m2(kv.get("oppervlakte")),
"postcode": postcode,
}
except Exception as e:
log.warning("3dmakelaars: detail fetch fout %s: %s", detail_url, e)
return {}
def fetch_3dmakelaars() -> list[RawListing]:
"""Fetch 3D Makelaars listings with pagination."""
listings = []
page = 1
while True:
url = (
f"{_3D_BASE}/woningen-te-koop-in-schiedam-en-vlaardingen"
f"?kamers=&oppervlakte=&woonplaats=&video=&prijs=3&page={page}"
)
soup = fetch_soup(url)
cards = soup.select("div.tl-properties-item")
if not cards:
break
for card in cards:
try:
# Extract detail URL from onclick attribute
onclick = card.get("onclick", "")
detail_url = None
if "window.location" in onclick:
m = re.search(r"window\.location\s*=\s*['\"]([^'\"]+)['\"]", onclick)
if m:
detail_url = _3D_BASE + m.group(1)
if not detail_url:
continue
# Extract listing-level info
adres = _text(card, "h3.price")
prijs_text = _text(card, "span.address")
prijs = parse_prijs(prijs_text)
# Extract rooms and area from meta list
kamers = None
woonoppervlak = None
for li in card.select("ul.tl-meta-listed > li"):
text = li.get_text(strip=True)
if "kamers" in text.lower():
m = re.search(r"(\d+)", text)
if m:
kamers = int(m.group(1))
elif "m²" in text or "m2" in text:
woonoppervlak = parse_m2(text)
# Extract image
img_tag = card.select_one("img")
hero = img_tag["src"] if img_tag else None
if hero and not hero.startswith("http"):
hero = _3D_BASE + hero
# Fetch detail page for full info
detail_data = _3dmakelaars_detail(detail_url)
# Postcode from detail page, fallback to extraction from address
postcode = detail_data.get("postcode")
if not postcode and adres:
postcode = _extract_postcode(adres)
listings.append(RawListing(
url=detail_url,
source_makelaar="3dmakelaars",
adres=adres,
postcode=postcode,
stad=_infer_stad(postcode),
prijs=prijs,
woningtype=detail_data.get("woningtype"),
bouwjaar=detail_data.get("bouwjaar"),
woonoppervlak=woonoppervlak or detail_data.get("woonoppervlak"),
kamers=kamers or detail_data.get("kamers"),
slaapkamers=detail_data.get("slaapkamers"),
hero_image_url=hero,
))
if config.APP_ENV == "dev":
break
except Exception as e:
log.warning("3dmakelaars: parse fout: %s", e)
if len(cards) < 7:
break
page += 1
log.info("3dmakelaars: %d listings opgehaald", len(listings))
return listings
# ---------------------------------------------------------------------------
# Dupont ERA Makelaars (Schiedam/Rotterdam)
# ---------------------------------------------------------------------------
_DUPONT_BASE = "https://www.dupont.nl"
_DUPONT_STATUS_MAP = {
"te koop": "beschikbaar",
"nieuw": "beschikbaar",
"onder bod": "onder_bod",
"verkocht onder voorbehoud": "onder_bod",
"verkocht": "verkocht",
}
def _dupont_detail(detail_url: str) -> dict:
"""Fetch Dupont detail page and extract kenmerken from dt/dd pairs."""
try:
soup = fetch_soup(detail_url)
# Parse dt/dd pairs into label → value map
kv: dict[str, str] = {}
dts = soup.select("dt")
dds = soup.select("dd")
for dt, dd in zip(dts, dds):
label = dt.get_text(strip=True).lower()
value = dd.get_text(strip=True)
kv[label] = value
# Extract postcode from small tag (format: "NNNN AA CITY")
postcode = None
small_tag = soup.select_one("section div.container-fluid small")
if small_tag:
postcode = _extract_postcode(small_tag.get_text())
return {
"postcode": postcode,
"woningtype": kv.get("soort woning"),
"bouwjaar": kv.get("bouwjaar"),
"woonoppervlak": kv.get("woonoppervlakte"),
"kamers": kv.get("aantal kamers"),
"slaapkamers": kv.get("aantal slaapkamers"),
"energielabel": kv.get("energielabel"),
}
except Exception as e:
log.warning("dupont: detail fetch fout %s: %s", detail_url, e)
return {}
def fetch_dupont() -> list[RawListing]:
"""Fetch Dupont ERA Makelaars listings with pagination and detail pages."""
listings = []
page = 1
while True:
url = f"{_DUPONT_BASE}/aanbod/koopwoningen?page={page}"
soup = fetch_soup(url)
cards = soup.select("article.object")
if not cards:
break
for card in cards:
try:
# Extract URL
a_tag = card.select_one("a[href]")
if not a_tag or "href" not in a_tag.attrs:
continue
detail_url = a_tag["href"]
if not detail_url.startswith("http"):
detail_url = _DUPONT_BASE + detail_url
# Extract listing-level data
adres = _text(card, "h3")
stad = _text(card, "h4")
prijs_text = _text(card, "div.price")
prijs = parse_prijs(prijs_text)
# Extract status from label
status_label = _text(card, "div.label") or "beschikbaar"
status_label = status_label.strip().lower()
status = _DUPONT_STATUS_MAP.get(status_label, "beschikbaar")
# Extract image
img_tag = card.select_one("img.img-responsive")
hero = img_tag["src"] if img_tag else None
if hero and not hero.startswith("http"):
hero = _DUPONT_BASE + hero
# Fetch detail page for full data
detail_data = _dupont_detail(detail_url)
# Use postcode from detail if available
postcode = detail_data.get("postcode")
listings.append(RawListing(
url=detail_url,
source_makelaar="dupont",
adres=adres,
postcode=postcode,
stad=stad or _infer_stad(postcode),
prijs=prijs,
status=status,
hero_image_url=hero,
woningtype=detail_data.get("woningtype"),
bouwjaar=int(detail_data["bouwjaar"]) if detail_data.get("bouwjaar") else None,
woonoppervlak=parse_m2(detail_data.get("woonoppervlak")),
kamers=int(detail_data["kamers"]) if detail_data.get("kamers") else None,
slaapkamers=int(detail_data["slaapkamers"]) if detail_data.get("slaapkamers") else None,
energielabel=detail_data.get("energielabel"),
))
if config.APP_ENV == "dev":
break
except Exception as e:
log.warning("dupont: parse fout: %s", e)
if len(cards) < 10:
break
page += 1
log.info("dupont: %d listings opgehaald", len(listings))
return listings
# ---------------------------------------------------------------------------
# Schieland Borsboom NVM Makelaars (Rotterdam, actief in Schiedam)
# ---------------------------------------------------------------------------
_SCHIELAND_BASE = "https://www.schielandborsboom.nl"
_SCHIELAND_STATUS_MAP = {
"beschikbaar": "beschikbaar",
"onder bod": "onder_bod",
"onder optie": "onder_bod",
"verkocht o.v.": "verkocht",
"verkocht": "verkocht",
}
def _schieland_detail(detail_url: str) -> dict:
"""Fetch Schieland Borsboom detail page and extract kenmerken."""
try:
soup = fetch_soup(detail_url)
# Postcode from house__status p (e.g. "3117 DP Schiedam")
postcode_el = soup.select_one("div.house__status p")
postcode = _extract_postcode(postcode_el.get_text()) if postcode_el else None
# Parse #kenmerken section: labelvalue
kv: dict[str, str] = {}
kenmerken = soup.select_one("#kenmerken")
if kenmerken:
for li in kenmerken.select("li"):
label_el = li.select_one("strong")
value_el = li.select_one("span")
if label_el and value_el:
# Strip nested links (e.g. "Hypotheek berekenen")
for a in value_el.select("a"):
a.decompose()
kv[label_el.get_text(strip=True).lower()] = value_el.get_text(strip=True)
return {
"postcode": postcode,
"status": kv.get("status", "").lower(),
"woningtype": kv.get("soort bouw"),
"bouwjaar": kv.get("bouwjaar"),
"woonoppervlak": kv.get("woonoppervlakte"),
"perceeloppervlak": kv.get("perceeloppervlakte"),
"kamers": kv.get("aantal kamers"),
"slaapkamers": kv.get("aantal slaapkamers"),
"energielabel": kv.get("energielabel"),
}
except Exception as e:
log.warning("schielandborsboom: detail fetch fout %s: %s", detail_url, e)
return {}
def fetch_schielandborsboom() -> list[RawListing]:
"""Fetch Schieland Borsboom NVM listings (koop only, Schiedam)."""
listings = []
page = 1
while True:
if page == 1:
url = f"{_SCHIELAND_BASE}/wonen?sure_koop_huur=koop"
else:
url = f"{_SCHIELAND_BASE}/wonen/page/{page}/?sure_koop_huur=koop"
soup = fetch_soup(url)
cards = soup.select("div.card.card--house")
if not cards:
break
for card in cards:
try:
a_tag = card.select_one("a.card__anchor")
if not a_tag or "href" not in a_tag.attrs:
continue
detail_url = a_tag["href"]
if not detail_url.startswith("http"):
detail_url = _SCHIELAND_BASE + detail_url
# Filter: only Schiedam
stad_el = card.select_one("p.house-place")
stad = stad_el.get_text(strip=True) if stad_el else None
if not stad or stad.lower() != "schiedam":
continue
# Status from card-house__thumb second class
thumb = card.select_one("div.card-house__thumb")
status_classes = thumb.get("class", []) if thumb else []
status_text = next(
(c for c in status_classes if c != "card-house__thumb"), "beschikbaar"
).lower()
status = _SCHIELAND_STATUS_MAP.get(status_text, "beschikbaar")
# Price
prijs = parse_prijs(_text(card, "p.price"))
if prijs and prijs > config.MAX_PRICE:
continue
adres = _text(card, "h4.house-street")
# Hero image from picture source (medium size)
src_tag = card.select_one('picture source[media="(min-width:100px)"]')
hero = src_tag["srcset"] if src_tag else _src(card, "img")
if hero and not hero.startswith("http"):
hero = _SCHIELAND_BASE + hero
# Data icons on card: surface, bedrooms, energy label
woonoppervlak_card = None
slaapkamers_card = None
energielabel_card = None
for data_div in card.select("div.data"):
txt = data_div.get_text(strip=True)
if data_div.select_one("i.icon-surface"):
woonoppervlak_card = parse_m2(txt)
elif data_div.select_one("i.icon-bedrooms"):
m = re.search(r"(\d+)", txt)
slaapkamers_card = int(m.group(1)) if m else None
elif data_div.select_one("i.icon-label"):
energielabel_card = txt.strip() or None
# Fetch detail page for full kenmerken
kk = _schieland_detail(detail_url)
# Refine status from detail page
if kk.get("status"):
status = _SCHIELAND_STATUS_MAP.get(kk["status"], status)
# Parse kamers: "5 kamers" → 5
kamers = None
if kk.get("kamers"):
m = re.search(r"(\d+)", kk["kamers"])
kamers = int(m.group(1)) if m else None
# Parse slaapkamers: "3" or "3 slaapkamers" → 3
slaapkamers = slaapkamers_card
if kk.get("slaapkamers"):
m = re.search(r"(\d+)", kk["slaapkamers"])
slaapkamers = int(m.group(1)) if m else slaapkamers_card
listings.append(RawListing(
url=detail_url,
source_makelaar="schielandborsboom",
status=status,
adres=adres,
postcode=kk.get("postcode"),
stad=stad,
prijs=prijs,
hero_image_url=hero,
woningtype=kk.get("woningtype"),
bouwjaar=int(kk["bouwjaar"]) if kk.get("bouwjaar") else None,
woonoppervlak=parse_m2(kk.get("woonoppervlak")) or woonoppervlak_card,
perceeloppervlak=parse_m2(kk.get("perceeloppervlak")),
kamers=kamers,
slaapkamers=slaapkamers,
energielabel=kk.get("energielabel") or energielabel_card,
))
if config.APP_ENV == "dev":
break
except Exception as e:
log.warning("schielandborsboom: parse fout: %s", e)
if len(cards) < 18:
break
page += 1
log.info("schielandborsboom: %d listings opgehaald", len(listings))
return listings
# ---------------------------------------------------------------------------
# Van Silfhout & Hogetoorn Wereldmakelaars (Delft)
# ---------------------------------------------------------------------------
_VANSILFHOUT_BASE = "https://www.vansilfhout.nl"
_VANSILFHOUT_STATUS_MAP = {
"te koop": "beschikbaar",
"onder bod": "onder_bod",
"verkocht onder voorbehoud": "verkocht",
"verkocht": "verkocht",
}
def _vansilfhout_detail(detail_url: str) -> dict:
"""Fetch Van Silfhout detail page; extract postcode from JS and specs from shortSpecs."""
try:
import re as _re
r = __import__("httpx").get(
detail_url,
headers={"User-Agent": config.USER_AGENT},
timeout=15,
follow_redirects=True,
)
r.raise_for_status()
html = r.text
from bs4 import BeautifulSoup as _BS
soup = _BS(html, "html.parser")
# Postcode embedded in JS: objectZipcode': '2624NP'
m = _re.search(r"objectZipcode':\s*'([^']+)'", html)
postcode = m.group(1) if m else None
# shortSpecs: Label:Value
kv: dict[str, str] = {}
for li in soup.select(".shortSpecs li"):
spans = li.select("span")
if len(spans) >= 2:
label = spans[0].get_text(strip=True).rstrip(":").lower()
value = spans[-1].get_text(strip=True)
kv[label] = value
return {
"postcode": postcode,
"bouwjaar": kv.get("bouwjaar"),
"woonoppervlak": kv.get("oppervlakte"),
"kamers": kv.get("kamers"),
"slaapkamers": kv.get("slaapkamers"),
}
except Exception as e:
log.warning("vansilfhout: detail fetch fout %s: %s", detail_url, e)
return {}
def fetch_vansilfhout() -> list[RawListing]:
"""Fetch Van Silfhout woningaanbod (alle listings op één pagina)."""
soup = fetch_soup(f"{_VANSILFHOUT_BASE}/woningaanbod/")
listings = []
for card in soup.select("article.row"):
try:
a_tag = card.select_one("a.objectcontainerimg")
if not a_tag or "href" not in a_tag.attrs:
continue
detail_url = a_tag["href"]
if not detail_url.startswith("http"):
detail_url = _VANSILFHOUT_BASE + detail_url
# Status
status_text = (_text(card, "span.objectstatus") or "").lower()
status = _VANSILFHOUT_STATUS_MAP.get(status_text, "beschikbaar")
# Address and city
adres = _text(card, "h2.objecttitle")
city_el = card.select("a.straatnaamwoonplaats span")
stad = city_el[-1].get_text(strip=True) if city_el else None
# Price from shortSpecs strong
prijs = parse_prijs(_text(card, "ul.shortSpecs li strong"))
if prijs and prijs > config.MAX_PRICE:
continue
# Area and rooms from shortSpecs
woonoppervlak_card = None
kamers_card = None
for li in card.select("ul.shortSpecs li"):
spans = li.select("span")
if len(spans) >= 2:
label = spans[0].get_text(strip=True).lower()
val = spans[-1].get_text(strip=True)
if "oppervlakt" in label:
woonoppervlak_card = parse_m2(val)
elif "kamer" in label:
m = re.search(r"(\d+)", val)
kamers_card = int(m.group(1)) if m else None
# Hero image: prefer data-lazy-src, fall back to noscript img src
img_tag = card.select_one("a.objectcontainerimg img")
hero = None
if img_tag:
hero = (img_tag.get("data-lazy-src")
or img_tag.get("src") or None)
if hero and hero.startswith("data:"):
noscript = card.select_one("noscript img")
hero = noscript["src"] if noscript else None
kk = _vansilfhout_detail(detail_url)
# Parse kamers/slaapkamers from detail
kamers = kamers_card
if kk.get("kamers"):
m = re.search(r"(\d+)", kk["kamers"])
kamers = int(m.group(1)) if m else kamers_card
slaapkamers = None
if kk.get("slaapkamers"):
m = re.search(r"(\d+)", kk["slaapkamers"])
slaapkamers = int(m.group(1)) if m else None
listings.append(RawListing(
url=detail_url,
source_makelaar="vansilfhout",
status=status,
adres=adres,
postcode=kk.get("postcode"),
stad=stad,
prijs=prijs,
hero_image_url=hero,
bouwjaar=int(kk["bouwjaar"]) if kk.get("bouwjaar") else None,
woonoppervlak=parse_m2(kk.get("woonoppervlak")) or woonoppervlak_card,
kamers=kamers,
slaapkamers=slaapkamers,
))
if config.APP_ENV == "dev":
break
except Exception as e:
log.warning("vansilfhout: parse fout: %s", e)
log.info("vansilfhout: %d listings opgehaald", len(listings))
return listings
# ---------------------------------------------------------------------------
# V&W Makelaars Delft / ZO Makelaars (Delft) — Realworks CMS
# ---------------------------------------------------------------------------
def fetch_vwmakelaars() -> list[RawListing]:
return fetch_realworks("https://www.vwmakelaars.nl", "vwmakelaars")
def fetch_zomakelaars() -> list[RawListing]:
return fetch_realworks("https://www.zomakelaars.nl", "zomakelaars")
# ---------------------------------------------------------------------------
# Roepman Makelaardij NVM (Delft)
# ---------------------------------------------------------------------------
# Realworks CMS maar met div.aanbodEntry i.p.v. li.aanbodEntry.
# Prijs zit in JSON-LD (zelfde structuur als Wassenaar).
_ROEPMAN_BASE = "https://www.roepman.nl"
def fetch_roepman() -> list[RawListing]:
import json as _json
listings_path = f"/aanbod/woningaanbod/-{config.MAX_PRICE}/koop"
listings = []
page = 1
while True:
url = f"{_ROEPMAN_BASE}{listings_path}/pagina-{page}/"
soup = fetch_soup(url)
cards = soup.select("div.aanbodEntry")
if not cards:
break
# Collect status + photo per relative url
status_by_url: dict[str, str] = {}
photo_by_url: dict[str, str] = {}
for card in cards:
a_tag = card.select_one("a.aanbodEntryLink[href]")
if not a_tag:
continue
href = a_tag["href"]
if href in status_by_url:
continue
banner = card.select_one(".objectstatusbanner")
status_text = banner.get_text(strip=True).lower() if banner else ""
status_by_url[href] = _REALWORKS_STATUS_MAP.get(status_text, "beschikbaar")
img = card.select_one("img")
if img:
src = img.get("src", "")
if "geenfotobeschikbaar" not in src:
photo_by_url[href] = src
# Parse JSON-LD Residence blocks (one per listing)
seen: set[str] = set()
for tag in soup.select('script[type="application/ld+json"]'):
try:
ld = _json.loads(tag.string)
if ld.get("@type") != "Residence":
continue
rel_url = ld.get("url", "")
if not rel_url or rel_url in seen:
continue
seen.add(rel_url)
detail_url = _ROEPMAN_BASE + rel_url
address = ld.get("address", {})
postcode = address.get("postalCode", "").replace(" ", "") or None
price_spec = next(
(a.get("priceSpecification", {}) for a in ld.get("potentialAction", [])
if a.get("priceSpecification")),
{}
)
prijs = int(price_spec["price"]) if price_spec.get("price") else None
if prijs and prijs > config.MAX_PRICE:
continue
hero = ld.get("photo") or photo_by_url.get(rel_url)
status = status_by_url.get(rel_url, "beschikbaar")
kk = _realworks_detail(detail_url, "roepman")
listings.append(RawListing(
url=detail_url,
source_makelaar="roepman",
status=status,
adres=address.get("streetAddress") or None,
postcode=postcode,
stad=address.get("addressLocality") or None,
prijs=prijs,
hero_image_url=hero,
woningtype=kk.get("woningtype"),
bouwjaar=int(kk["bouwjaar"]) if kk.get("bouwjaar") else None,
woonoppervlak=parse_m2(kk.get("woonoppervlak")),
perceeloppervlak=parse_m2(kk.get("perceeloppervlak")),
kamers=int(kk["kamers"]) if kk.get("kamers") else None,
slaapkamers=int(kk["slaapkamers"]) if kk.get("slaapkamers") else None,
energielabel=kk.get("energielabel"),
))
if config.APP_ENV == "dev":
break
except Exception as e:
log.warning("roepman: parse fout: %s", e)
if len(cards) < 10:
break
page += 1
log.info("roepman: %d listings opgehaald", len(listings))
return listings
# ---------------------------------------------------------------------------
# Post Makelaardij (v/h Bayense) — Delft & omgeving
# ---------------------------------------------------------------------------
# Custom Tailwind CSS site; covers Delft, Pijnacker, Rijswijk etc.
# Filter for Delft only.
_POST_BASE = "https://www.postmakelaardij.nl"
_POST_STATUS_MAP = {
"te koop": "beschikbaar",
"onder bod": "onder_bod",
"verkocht": "verkocht",
}
def _post_detail(detail_url: str) -> dict:
"""Fetch Post Makelaardij detail page and extract kenmerken."""
try:
soup = fetch_soup(detail_url)
# Energielabel from CSS class: energielabel-{letter}
energielabel = None
for el in soup.select('[class]'):
for cls in el.get('class', []):
if cls.startswith('energielabel-') and cls != 'energielabel':
energielabel = cls.replace('energielabel-', '').upper()
break
if energielabel:
break
# Woonoppervlak, perceeloppervlak, slaapkamers from icon spans
woonoppervlak = None
perceeloppervlak = None
slaapkamers = None
for span in soup.select('span.object-info-icon-text'):
txt = span.get_text(strip=True)
if 'slaapkamer' in txt:
m = re.search(r'(\d+)', txt)
slaapkamers = int(m.group(1)) if m else None
elif 'perceel' in txt:
perceeloppervlak = parse_m2(txt)
elif 'm²' in txt or 'm2' in txt:
woonoppervlak = parse_m2(txt)
return {
"woonoppervlak": woonoppervlak,
"perceeloppervlak": perceeloppervlak,
"slaapkamers": slaapkamers,
"energielabel": energielabel,
}
except Exception as e:
log.warning("post: detail fetch fout %s: %s", detail_url, e)
return {}
def fetch_post() -> list[RawListing]:
"""Fetch Post Makelaardij listings; only Delft, only koop."""
listings = []
page = 1
while True:
url = f"{_POST_BASE}/woningaanbod/koop?page={page}"
soup = fetch_soup(url)
cards = soup.select("article")
if not cards:
break
for card in cards:
try:
# URL — first link in image slider
a_tag = card.select_one("a[href]")
if not a_tag:
continue
href = a_tag["href"]
detail_url = href if href.startswith("http") else _POST_BASE + href
# Postcode + city from span.custom-postcode-text
pc_el = card.select_one("span.custom-postcode-text")
if not pc_el:
continue
pc_parts = pc_el.get_text(strip=True).split()
if len(pc_parts) < 3:
continue
postcode = pc_parts[0] + pc_parts[1] # "2613BD"
stad = " ".join(pc_parts[2:]) # "Delft"
# Filter: only Delft
if stad.lower() != "delft":
continue
# Price — filter early
prijs = parse_prijs(_text(card, "span.price-block"))
if prijs and prijs > config.MAX_PRICE:
continue
# Status from span.status text
status_text = (_text(card, "span.status") or "").lower()
status = _POST_STATUS_MAP.get(status_text, "beschikbaar")
# Address
adres = _text(card, "h4.custom-address-text")
# Hero: first img in article
img = card.select_one("img")
hero = img["src"] if img else None
kk = _post_detail(detail_url)
listings.append(RawListing(
url=detail_url,
source_makelaar="post",
status=status,
adres=adres,
postcode=postcode,
stad=stad,
prijs=prijs,
hero_image_url=hero,
woonoppervlak=kk.get("woonoppervlak"),
perceeloppervlak=kk.get("perceeloppervlak"),
slaapkamers=kk.get("slaapkamers"),
energielabel=kk.get("energielabel"),
))
if config.APP_ENV == "dev":
break
except Exception as e:
log.warning("post: parse fout: %s", e)
if len(cards) < 12:
break
page += 1
log.info("post: %d listings opgehaald", len(listings))
return listings
# ---------------------------------------------------------------------------
# Morris NVM Makelaars (Delft) — Realworks CMS
# ---------------------------------------------------------------------------
def fetch_morris() -> list[RawListing]:
return fetch_realworks("https://www.morrismakelaardij.nl", "morris")
# ---------------------------------------------------------------------------
# Olsthoorn Makelaars Delft (SURE WordPress plugin)
# ---------------------------------------------------------------------------
# Covers Delft, Den Haag, Naaldwijk etc — we filter for Delft only.
# Detail page has no postcode; leave as None.
_OLSTHOORN_BASE = "https://www.olsthoornmakelaars.nl"
_OLSTHOORN_STATUS_MAP = {
"badge-available": "beschikbaar",
"badge-bid": "onder_bod",
"badge-option": "onder_bod",
"badge-sold": "verkocht",
}
_OLSTHOORN_DETAIL_STATUS_MAP = {
"beschikbaar": "beschikbaar",
"onder bod": "onder_bod",
"onder optie": "onder_bod",
"verkocht": "verkocht",
}
def _olsthoorn_detail(detail_url: str) -> dict:
"""Fetch Olsthoorn detail page; extract kenmerken from #kenmerken li pairs."""
try:
soup = fetch_soup(detail_url)
kv: dict[str, str] = {}
for li in soup.select("#kenmerken li"):
spans = li.select("span")
if len(spans) >= 2:
label = spans[0].get_text(strip=True).lower()
value = spans[1].get_text(strip=True)
kv[label] = value
return {
"status": kv.get("status", "").lower(),
"woningtype": kv.get("soort object") or kv.get("soort woning") or kv.get("soort bouw"),
"bouwjaar": kv.get("bouwjaar"),
"woonoppervlak": kv.get("gebruiksoppervlakte"),
"perceeloppervlak": kv.get("perceeloppervlakte"),
"kamers": kv.get("aantal kamers"),
"slaapkamers": kv.get("aantal slaapkamers"),
"energielabel": kv.get("energielabel"),
}
except Exception as e:
log.warning("olsthoorn: detail fetch fout %s: %s", detail_url, e)
return {}
def fetch_olsthoorn() -> list[RawListing]:
"""Fetch Olsthoorn Makelaars listings; only Delft, only koop."""
listings = []
page = 1
while True:
if page == 1:
url = f"{_OLSTHOORN_BASE}/wonen?sure_koop_huur=koop"
else:
url = f"{_OLSTHOORN_BASE}/wonen/page/{page}/?sure_koop_huur=koop"
soup = fetch_soup(url)
cards = soup.select("a.card-house")
if not cards:
break
for card in cards:
try:
href = card.get("href", "")
if not href:
continue
detail_url = href if href.startswith("http") else _OLSTHOORN_BASE + href
# Filter: only Delft
stad_el = card.select_one("h2.card__title")
stad = stad_el.get_text(strip=True) if stad_el else None
if not stad or stad.lower() != "delft":
continue
# Price from bold tag — filter early before detail fetch
prijs_b = card.select_one("b")
prijs = parse_prijs(prijs_b.get_text() if prijs_b else None)
if prijs and prijs > config.MAX_PRICE:
continue
# Status from badge class on label span
label_span = card.select_one("span.card-house__label")
status = "beschikbaar"
if label_span:
for cls in label_span.get("class", []):
if cls in _OLSTHOORN_STATUS_MAP:
status = _OLSTHOORN_STATUS_MAP[cls]
break
# Address: second under .short--info (collapse internal whitespace)
adres_p = card.select("div.short--info > p")
if adres_p:
adres = " ".join(adres_p[0].get_text().split())
else:
adres = None
# Hero image: largest source srcset
src_tag = card.select_one('picture source[media="(min-width:1024px)"]')
hero = src_tag.get("data-srcset") if src_tag else None
if hero and not hero.startswith("http"):
hero = _OLSTHOORN_BASE + hero
# Woonoppervlak + kamers + energielabel from card data icons
woonoppervlak_card = None
kamers_card = None
energielabel_card = None
for data_div in card.select("div.data"):
inner = data_div.select_one("span.date__inner")
if not inner:
continue
txt = inner.get_text(strip=True)
if data_div.select_one("i.icon-sizes"):
woonoppervlak_card = parse_m2(txt)
elif data_div.select_one("i.icon-door"):
m = re.search(r"(\d+)", txt)
kamers_card = int(m.group(1)) if m else None
elif data_div.select_one("i.icon-energylabel"):
energielabel_card = txt or None
kk = _olsthoorn_detail(detail_url)
# Refine status from detail page
detail_status = _OLSTHOORN_DETAIL_STATUS_MAP.get(kk.get("status", ""), "")
if detail_status:
status = detail_status
listings.append(RawListing(
url=detail_url,
source_makelaar="olsthoorn",
status=status,
adres=adres,
postcode=None, # not exposed by broker
stad=stad,
prijs=prijs,
hero_image_url=hero,
woningtype=kk.get("woningtype"),
bouwjaar=int(kk["bouwjaar"]) if kk.get("bouwjaar") else None,
woonoppervlak=parse_m2(kk.get("woonoppervlak")) or woonoppervlak_card,
perceeloppervlak=parse_m2(kk.get("perceeloppervlak")),
kamers=int(kk["kamers"]) if kk.get("kamers") else kamers_card,
slaapkamers=int(kk["slaapkamers"]) if kk.get("slaapkamers") else None,
energielabel=kk.get("energielabel") or energielabel_card,
))
if config.APP_ENV == "dev":
break
except Exception as e:
log.warning("olsthoorn: parse fout: %s", e)
if len(cards) < 15:
break
page += 1
log.info("olsthoorn: %d listings opgehaald", len(listings))
return listings
# ---------------------------------------------------------------------------
# SCRAPERS — exporteer hier alle actieve SSR adapters
# ---------------------------------------------------------------------------
SCRAPERS = {
'ankebodewes': fetch_ankebodewes,
'woongoed': fetch_woongoed,
'dewittegarantiemakelaars': fetch_dewittegarantiemakelaars,
'wassenaar': fetch_wassenaar,
'dens': fetch_dens,
'3dmakelaars': fetch_3dmakelaars,
'dupont': fetch_dupont,
'schielandborsboom': fetch_schielandborsboom,
'vansilfhout': fetch_vansilfhout,
'vwmakelaars': fetch_vwmakelaars,
'roepman': fetch_roepman,
'zomakelaars': fetch_zomakelaars,
'post': fetch_post,
'morris': fetch_morris,
'olsthoorn': fetch_olsthoorn,
}