We extract property listings, price variations, energy ratings, and agency portfolios from Fotocasa. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Residential Sales objects from fotocasa.es. All fields typed and schema-versioned.
"property_id": "164920184", "title": "Piso en venta en Eixample", "price": 450000.0, "currency": "EUR", "rooms": 3, "bathrooms": 2, "surface_m2": 110, "elevator": true, "energy_rating": "E"
| # | property_id | title | price | currency | rooms | bathrooms |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Rental Listings objects from fotocasa.es. All fields typed and schema-versioned.
"property_id": "173829102", "title": "Alquiler de piso en Madrid Centro", "monthly_rent": 1200.0, "furnished": true, "pet_friendly": false, "rooms": 2, "surface_m2": 75, "agency_name": "Inmobiliaria Centro", "scraped_at": "2026-05-12T09:14:00Z"
| # | property_id | title | monthly_rent | deposit_required | available_from | furnished |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Agency Portfolios objects from fotocasa.es. All fields typed and schema-versioned.
"agency_id": "AG-9482", "name": "Fincas Barcelona", "address": "Carrer de Balmes, 12, Barcelona", "total_properties": 142, "sales_count": 98, "rentals_count": 44, "rating": 4.2, "joined_date": "2018-03-14"
| # | agency_id | name | address | phone | total_properties | sales_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for New Developments objects from fotocasa.es. All fields typed and schema-versioned.
"promotion_id": "PR-10293", "name": "Residencial Mar Bella", "developer": "Metrovacesa", "completion_date": "2027-Q2", "available_units": 14, "min_price": 320000.0, "max_price": 550000.0, "amenities": "['pool', 'gym', 'garage']"
| # | promotion_id | name | developer | completion_date | total_units | available_units |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Market Trends objects from fotocasa.es. All fields typed and schema-versioned.
"property_id": "164920184", "current_price": 450000.0, "original_price": 475000.0, "price_drop_pct": 5.2, "days_on_market": 42, "price_per_m2": 4090.9, "neighborhood": "Dreta de l'Eixample", "city": "Barcelona"
| # | property_id | current_price | original_price | price_drop_pct | days_on_market | price_per_m2 |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Fotocasa scraper handles every layer of the platform: property details, dynamic map data, agency listings, and pricing trends - with anti-bot circumvention built in.
Title, description, dimensions, rooms, floor, elevator status, and every metadata field Fotocasa surfaces.
Capture original listing price, current price, and calculate price drops over time across active listings.
Agency name, contact details, total portfolio size, and performance metrics for every listing.
Extract precise latitude and longitude coordinates for properties, along with neighborhood and district tags.
Capture energy consumption and emission ratings required for Spanish real estate compliance.
Extract data for offices, industrial spaces, retail units, and plots of land across all Spanish provinces.
Monitor new construction projects, developer details, completion dates, and unit availability.
Collect high-resolution property images and floorplan URLs for computer vision analysis.
Run continuous pipelines at daily or weekly cadences with change-detection diffing.
Brief in. Clean data out.
Provide target provinces, property types, or agency IDs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for fotocasa.es.
Schema validation, null-rate checks, and geographical coverage verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Fotocasa employs strict scraping countermeasures. Here is how we stay resilient.
Fotocasa relies heavily on advanced bot protection. Our crawlers use Spanish residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass these blocks.
Property details and map coordinates are heavily JavaScript-rendered. We run full Playwright browser sessions to trigger lazy-loads and capture data that headless HTTP clients miss entirely.
Fotocasa updates its frontend frequently. Our selector strategy uses multiple fallback chains per field, including structured data extraction, so a layout change does not break your data pipeline.
For large property catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, coverage drops, and block rates, responding before you notice.
PropTech companies train automated valuation models using historical pricing, surface area, and location data.
Real estate funds identify high-yield rental zones by comparing sale prices against monthly rental rates per district.
Brokerages monitor competitor portfolios, time-on-market metrics, and price reduction strategies across regions.
Analysts track new developments and residential density shifts to forecast infrastructure requirements.
Listing aggregators normalise Fotocasa data to provide unified market views for end consumers.
Financial institutions use real estate listing volumes and price fluctuations as leading indicators for economic health.
"Fotocasa holds the definitive pulse of the Spanish real estate market - but extracting property data at scale requires bypassing enterprise-grade bot protection."
Most teams underestimate the investment required: reliable Fotocasa scraping requires Spanish residential proxies, full JavaScript rendering, CAPTCHA solving, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our fotocasa.es scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows.
We maintain pools of Spanish residential ISP proxies. Rotation happens per-request with sticky sessions where required to maintain state.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About fotocasa.es scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible. DataFlirt targets only public, non-authenticated property and agency data. We do not extract personal user data or circumvent authentication walls.
We use Spanish residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour to bypass bot detection.
Full catalogue refreshes at daily cadence complete within a 6-12 hour window depending on the target province size. Real-time pipelines can achieve lower latency for specific target sets.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series record per property to track price reductions from the original listing date.
Our smallest packages start at a defined province list with weekly delivery. For national coverage, we price based on volume and delivery frequency.
Yes. We provide a sample run of up to 500 properties as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off province dump or a continuous price-monitoring feed across Spain - we scope, build, and operate the pipeline. Tell us what you need.
