We extract property listings, pricing signals, agency details, and market inventory from Idealista. 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 Property Listings objects from idealista.com. All fields typed and schema-versioned.
"listing_id": "98472911", "title": "Flat / apartment for sale in calle de Goya", "property_type": "flat", "operation": "sale", "price": 850000, "currency": "EUR", "area_sqm": 120, "rooms": 3, "bathrooms": 2, "has_elevator": true
| # | listing_id | title | property_type | operation | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Valuation objects from idealista.com. All fields typed and schema-versioned.
"listing_id": "98472911", "current_price": 850000, "original_price": 890000, "price_drop_amount": 40000, "price_drop_pct": 4.5, "price_per_sqm": 7083.33, "community_fees": 150, "last_updated": "2023-10-24T14:32:00Z"
| # | listing_id | current_price | original_price | price_drop_amount | price_drop_pct | price_per_sqm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location Data objects from idealista.com. All fields typed and schema-versioned.
"listing_id": "98472911", "province": "Madrid", "municipality": "Madrid", "district": "Salamanca", "neighborhood": "Goya", "latitude": 40.4245, "longitude": -3.6742, "exact_location_hidden": true
| # | listing_id | province | municipality | district | neighborhood | street_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Agency Details objects from idealista.com. All fields typed and schema-versioned.
"agency_id": "pro-4921", "agency_name": "Engel & Völkers Madrid", "phone_number": "+34 91 234 56 78", "is_professional": true, "agency_properties_count": 342, "agency_url": "https://www.idealista.com/pro/engel-volkers-madrid/"
| # | agency_id | agency_name | agency_logo | phone_number | contact_name | agency_properties_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Features & Amenities objects from idealista.com. All fields typed and schema-versioned.
"listing_id": "98472911", "condition": "good_condition", "has_terrace": false, "has_balcony": true, "has_parking": true, "parking_price": 30000, "has_air_conditioning": true, "heating_type": "individual_gas"
| # | listing_id | condition | has_terrace | has_balcony | has_parking | parking_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Idealista scraper extracts complete listing metadata, historical pricing, and agency details across Spain, Italy, and Portugal — bypassing strict Datadome protections to deliver clean, structured datasets.
Extract size, rooms, floor level, elevator status, energy certification, and full descriptive text for residential and commercial listings.
Capture original listing prices versus current prices to calculate discount percentages and track market cooling in specific districts.
Query by exact polygon coordinates or administrative boundaries (province, municipality, district) to map inventory density.
Identify the listing agent, professional status, contact numbers, and total portfolio size to map market share among brokerages.
Extract high-resolution image URLs, virtual tour links, and floor plan images associated with every property.
Unified schema across idealista.com (Spain), idealista.it (Italy), and idealista.pt (Portugal) for pan-European analysis.
Native handling of Idealista's aggressive Datadome anti-bot layer using advanced TLS fingerprinting and residential proxy rotation.
Monitor fast-moving rental markets with intra-day scraping cadences to capture listings before they are taken offline.
Structured extraction of specific features: terraces, pools, parking availability, heating types, and air conditioning.
Brief in. Clean data out.
Provide target municipalities, property types (sale/rent), or specific agency profiles. We map the extraction schema.
We configure Playwright crawlers, EU residential proxy rotation, and Datadome bypass mechanisms for idealista.com.
Schema validation, coordinate accuracy checks, and price-outlier detection before production launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Idealista employs some of the strictest anti-scraping measures in European real estate. Here is how our infrastructure maintains continuous extraction.
Idealista uses Datadome to block automated traffic. Our infrastructure uses localized residential proxies (Spain, Italy, Portugal) combined with exact browser fingerprint matching and TLS spoofing to mimic genuine user behaviour and maintain high success rates.
Idealista caps search results at 60 pages (1,800 listings) per query. For dense markets like Madrid or Milan, we algorithmically subdivide map polygons into smaller geographic bounding boxes to extract 100% of the inventory without hitting pagination walls.
Property descriptions and amenity flags vary across Spanish, Italian, and Portuguese. We normalise fields like property type, heating, and condition into a unified, machine-readable schema for cross-border analytics.
We maintain state on previously extracted listings. When a property drops in price or is delisted, our pipeline registers the delta, allowing you to calculate days-on-market and exact price adjustments over time.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, Datadome block increases, and coverage drops — and respond before you notice.
PropTech companies train valuation algorithms using historical price-per-square-meter data, location premiums, and property condition metrics.
Private equity and REITs monitor yield compression, rental market velocity, and supply constraints across specific European districts.
Real estate franchises track competitor portfolios, average days-on-market, and listing acquisition rates by specific brokerages.
Investors configure real-time alerts for underpriced properties, motivated sellers, or listings with significant recent price drops.
Consultancies and municipalities analyse housing affordability, energy certificate distribution, and neighborhood gentrification trends.
Mortgage brokers, moving companies, and renovation contractors identify new listings and professional agencies for targeted B2B outreach.
"Idealista holds the definitive record of Southern Europe's real estate market — but strict bot protections make extracting that intelligence a massive engineering challenge."
Most internal data teams struggle with Idealista because Datadome blocks standard HTTP clients immediately. Building a resilient pipeline requires localized residential proxies, advanced fingerprinting, and polygon-subdivision logic to bypass pagination limits. DataFlirt manages this infrastructure so you receive clean property records, not blocked requests.
Everything supported by our idealista.com 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. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across ES/IT/PT regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 idealista.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available property data is generally permissible for non-personal data under EU law, provided it does not breach specific database rights or cause technical harm to the platform. DataFlirt extracts only public, non-authenticated listing information. We do not extract personal user data or circumvent authentication walls. Clients should consult legal counsel regarding their specific commercial use cases.
We utilize localized residential proxies specific to the target country (Spain, Italy, or Portugal), coupled with Playwright sessions that inject realistic browser fingerprints (canvas, WebGL, navigator properties). This mimics genuine human traffic patterns and prevents Datadome from triggering CAPTCHAs or blocks.
Idealista caps search pagination at 1,800 results. For queries yielding more listings (e.g., 'all flats in Madrid'), our pipeline automatically subdivides the geographic search area using micro-polygons or smaller administrative districts until every sub-query returns fewer than 1,800 results, ensuring 100% data capture.
Yes. Our change-detection system maintains state on all seen listings. When a property price is updated on Idealista, we record the new price, the original price, the absolute drop, and the timestamp of the change.
Our Idealista pipeline supports all three primary markets: idealista.com (Spain), idealista.it (Italy), and idealista.pt (Portugal). The output schema is standardised across all three domains.
We extract the exact latitude and longitude if the listing agent has made it public. However, if the agent has chosen to hide the exact street number (a common practice on Idealista), we can only extract the approximate location and neighborhood data provided by the platform.
Pipelines can be configured for daily, weekly, or intra-day cadences depending on your requirements. Fast-moving rental markets are typically scraped every 6-12 hours to capture transient inventory.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily feed of all rental listings in Milan or a historical pricing dataset for Madrid — we scope, build, and operate the pipeline. Tell us what you need.
