How to Scrape Habitaclia.com Spanish Real Estate in 2026

Spain’s property market is heavily concentrated on a few portals, and outside of Idealista, Habitaclia is one of the most important — especially in Catalonia, where its inventory in Barcelona, Girona, Tarragona and Lleida is genuinely deep. Owned by Adevinta, it carries strong listings across Madrid, Valencia, Sevilla, Málaga, Zaragoza, Bilbao, and the Balearic and Canary Islands too. This guide covers how to extract structured listing data — price, area, €/m², location, images — across Spain, and why this particular site doesn’t need a headless browser.

What’s worth extracting

Habitaclia covers the full property spectrum: apartments, houses, attics (áticos), duplexes, offices, commercial and industrial premises, land, and parking — for both sale and rent. Per listing, a clean record carries:

• Identity & links — listing ID, canonical URL, advertiser type.
• Transaction & type — sale or rent, and the property classification.
• Pricing & derived metrics — price in EUR, currency, price per m², and price-change info where the listing has moved.
• Physical specs — area (m²), rooms, bathrooms, floor, year built, energy metrics, orientation.
• Location — parsed and deduplicated into country, province, city, district, neighborhood, street, plus geocoordinates.
• Media & advertiser — main image, full image gallery, advertiser type.
• Amenities — elevator, parking/garage, terrace, balcony, AC, heating, pool, garden, furnished, exterior, luxury, featured flags.
• Provenance — the search context and a scrape timestamp.

The price_per_m2 field is the one that makes this data immediately useful — it’s the great equalizer for comparing a 60 m² flat against a 120 m² one across neighborhoods.

Why no browser is needed here

Habitaclia is a server-rendered portal, which means the listing data is in the HTML rather than locked behind a JavaScript SPA. This actor uses HTTP-only fetching with got-scraping — no headless Chromium. That’s a major cost and reliability advantage, but Habitaclia still has defenses, so the actor layers in the right techniques:

• Proxy support with country pinning — Spanish/EU IPs to match the audience the site expects.
• Per-attempt proxy session rotation on access errors — rotate the session when a request gets blocked rather than failing the whole job.
• Exponential backoff retries — ride out transient blocks and 5xx responses.
• Pagination loop detection and a thin-page guard — stop cleanly when the result set ends instead of crawling phantom pages.
• Polite inter-request delays — pace requests to stay under the radar.
• Diagnostic artifacts for selector calibration — when the site’s markup shifts, the maintainer can recalibrate selectors fast.

Throughput is good for an HTTP scraper: roughly 200 listings in about 90 seconds on a 1 GB instance.

▶ Run the Habitaclia.com Spain Scraper — apartments, houses, offices, land and more by province or city, with price, €/m², area, rooms, location and images. HTTP-only, country-pinned proxy, no browser.

What a listing record looks like

{
  "listing_id": "habitaclia-29481023",
  "url": "https://www.habitaclia.com/...",
  "transaction": "sale",
  "property_type": "apartment",
  "price_eur": 285000,
  "currency": "EUR",
  "price_per_m2": 4071,
  "area_m2": 70,
  "rooms": 2,
  "bathrooms": 1,
  "floor": 3,
  "year_built": 1972,
  "orientation": "exterior",
  "location": {
    "province": "Barcelona",
    "city": "Barcelona",
    "district": "Eixample",
    "neighborhood": "Sant Antoni",
    "lat": 41.378,
    "lon": 2.162
  },
  "amenities": { "elevator": true, "terrace": true, "ac": true, "parking": false },
  "main_image": "https://...",
  "image_gallery": ["https://...", "https://..."],
  "advertiser_type": "agency",
  "scraped_at": "2026-06-03T10:00:00Z"
}

How you scope a run

You drive the scraper by region or city — point it at a province (e.g. Barcelona, Madrid, Valencia) or a specific city, and optionally filter by price, area, and rooms. A typical market-monitoring setup:

1. List your target provinces/cities and transaction type (sale or rent).
2. Set price/area/room filters if you only care about a segment.
3. Pin a Spanish proxy country.
4. Schedule it daily and diff on listing_id + price_eur to catch new inventory and price drops.

Typical use cases

• Market research & price benchmarking — compute median €/m² by neighborhood and region, and compare zones.
• Investment due diligence — surface new listings matching yield, area, room, or location criteria.
• Lead generation for agencies — curated, region-specific inventory feeds.
• Academic & journalistic research — quantify housing dynamics, gentrification, and supply shocks (Catalonia’s pressure zones are a frequent topic).
• ML training data — feed valuation models, recommendation engines, and listing-fraud detectors.
• Portfolio monitoring — alert on price drops or new inventory in target zones.
• Proptech supply mapping — power map-based property discovery apps with the geocoordinates.

Cost math

Per the actor’s pricing, the per-result charge is zero — you pay only a tiny per-run start fee plus compute. Combined with HTTP-only fetching (no browser, low memory), a daily sweep of several Spanish provinces — thousands of listings — costs only a few cents to low single-digit dollars a month in compute. That’s an order of magnitude cheaper than a browser-based real-estate scraper, and the no-per-row pricing makes full-market crawls economical.

Building it yourself means writing and maintaining the selectors, the pagination-loop and thin-page guards, the proxy session rotation on blocks, the location parsing/dedup, and the €/m² derivation — then re-fixing selectors each time Habitaclia tweaks its markup. The diagnostic-artifact recalibration the maintainer does is the ongoing cost you’re offloading.

Pitfalls to plan for

• Pin a Spanish proxy. Habitaclia behaves best for Spanish/EU IPs; datacenter IPs from elsewhere see more blocks. The country-pinning is there for a reason.
• Catalonia is deepest, but not exclusive. Coverage is strongest in Catalonia; other regions are well-stocked but the listing density varies. Set expectations per province.
• Price-change info is conditional. It appears when a listing has moved; treat the field as sometimes-absent rather than always present.
• Advertiser type matters for lead gen. Distinguish agency vs. private (advertiser_type) — your outreach strategy differs by source.
• Geocoords can be approximate. Some listings carry neighborhood-level rather than exact coordinates. Don’t treat every lat/lon as a precise address.
• Dedup across runs. The same property can reappear; key on listing_id and snapshot scraped_at to build clean time series and detect genuine new inventory.

Wrapping up

Habitaclia is one of the richest Spanish property sources outside Idealista, and because it’s server-rendered, you can extract it cleanly with an HTTP-only scraper — no browser, low cost, country-pinned proxies. With a per-result cost of zero and ~200 listings in ~90 seconds, full-market sweeps for benchmarking, lead gen, or ML training data are genuinely affordable.

▶ Open the Habitaclia.com Spain Scraper on Apify — by province or city, with €/m², area, rooms, location and images. HTTP-only, per-result cost of zero. Start with Apify’s free monthly credit.