Add D&S Makelaars scraper (Schiedam)

Fetches 51+ listings from D&S with full details:
- Paginates through /aanbod/koopwoningen
- Extracts property postcode from Google Maps iframe URL
- Parses all kenmerken (features) from detail pages
- Includes price, address, rooms, area, build year, energy label

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>

makelaars.md

@@ -32,7 +32,7 @@
 | [x] | Makelaardij Wassenaar | makelaardijwassenaar.nl | Gerrit Verboonstraat 12 |
 | [ ] | 3D Makelaars | 3dmakelaars.nl | Gerrit Verboonstraat 17 |
 | [ ] | Dupont Makelaars | dupont.nl | Rotterdamsedijk 437 |
-| [ ] | D&S Makelaardij | densmakelaars.nl | Land van Belofte 50 |
+| [x] | D&S Makelaardij | densmakelaars.nl | Land van Belofte 50 |
 | [ ] | Moerman & De Jong Makelaars | moerman-dejong.nl | Lange Kerkstraat 80B |
 | [ ] | Hagestein Makelaardij | — | Degerfors 54 |
 | [ ] | Schieland Borsboom NVM Makelaars | schielandborsboom.nl | (Rotterdam, actief in Schiedam) |

src/adapters/ssr.py

@@ -456,6 +456,158 @@ def _infer_stad(postcode: str | None) -> str | None:
     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 <dt>/<dd> 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 <dt>/<dd> 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"),
+                ))
+            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
+
+
 # ---------------------------------------------------------------------------
 # SCRAPERS — exporteer hier alle actieve SSR adapters
 # ---------------------------------------------------------------------------
@@ -465,4 +617,5 @@ SCRAPERS = {
     'woongoed':    fetch_woongoed,
     'dewittegarantiemakelaars': fetch_dewittegarantiemakelaars,
     'wassenaar':   fetch_wassenaar,
+    'dens':        fetch_dens,
 }