We extract residential listings, commercial properties, pricing signals, and agency intelligence from Tecnocasa. 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 tecnocasa.it. All fields typed and schema-versioned.
"listing_id": "60482911", "title": "Trilocale in vendita a Milano", "property_type": "Apartment", "contract_type": "Sale", "price": 345000.0, "surface_area_sqm": 85, "rooms": 3, "energy_class": "G"
| # | listing_id | title | property_type | contract_type | price | surface_area_sqm |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Agency Details objects from tecnocasa.it. All fields typed and schema-versioned.
"agency_id": "MI124", "agency_name": "Studio Milano Centro S.R.L.", "address": "Via Roma 10", "city": "Milano", "province": "MI", "active_listings_count": 42, "phone": "+39021234567"
| # | agency_id | agency_name | address | city | province | phone |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & History objects from tecnocasa.it. All fields typed and schema-versioned.
"listing_id": "60482911", "current_price": 345000.0, "original_price": 360000.0, "price_drop_pct": 4.1, "price_per_sqm": 4058.82, "days_on_market": 14, "status": "Active"
| # | listing_id | current_price | original_price | price_drop_pct | price_per_sqm | days_on_market |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Property Features objects from tecnocasa.it. All fields typed and schema-versioned.
"listing_id": "60482911", "floor_level": 3, "elevator": true, "heating_type": "Centralised", "condition": "Good", "year_built": 1975, "balcony": true, "parking_spaces": 1
| # | listing_id | floor_level | total_floors | elevator | parking_spaces | heating_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Location Data objects from tecnocasa.it. All fields typed and schema-versioned.
"listing_id": "60482911", "region": "Lombardia", "province": "MI", "municipality": "Milano", "neighborhood": "Porta Romana", "latitude": 45.4512, "longitude": 9.2034, "address_hidden": false
| # | listing_id | region | province | municipality | neighborhood | latitude |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Tecnocasa pipeline navigates map-based search grids, agency portfolios, and paginated region results to deliver structured property data ready for valuation models.
Extract price, surface area, room counts, floor levels, energy performance certificates (APE), and full descriptions for every active listing.
Monitor initial listing prices, track reductions, and calculate days on market across regional portfolios.
Map the franchise network. Extract agency contact details, active listing volumes, and regional coverage for competitive analysis.
Capture latitude, longitude, neighbourhood classifications, and regional hierarchies for precise map-based valuation.
Isolate new construction projects (Nuove Costruzioni), including unit breakdowns, expected completion dates, and project specifications.
Extract high-resolution image URLs, virtual tour links, and floor plan documents associated with each listing.
Separate pipelines for retail spaces, offices, and industrial properties listed under Tecnocasa's commercial division.
Run continuous pipelines that identify new listings, sold properties, and modified prices without duplicating existing records.
Crawl entire provinces systematically using map boundary coordinates to ensure zero dropped listings in search pagination.
Brief in. Clean data out.
Specify target regions, property types, or agency IDs. We map the extraction schema to your database requirements.
We configure crawlers to handle Tecnocasa's map grid API, manage Italian residential proxies, and bypass rate limits.
Automated checks ensure energy class validity, price-per-sqm outliers, and coordinate accuracy before production.
Data arrives as JSON, CSV, or Parquet in your S3 bucket or Snowflake environment on a daily or weekly schedule.
Property portals enforce strict rate limits and obscure data behind map interfaces. We handle the extraction complexity.
Tecnocasa caps standard search pagination. We bypass this by interacting directly with the map API, dividing regions into small coordinate bounding boxes to extract every listing without hitting display limits.
To prevent blocking and ensure accurate regional data rendering, our crawlers route requests through ISP-grade residential proxies physically located in Italy.
Property descriptions often contain unstructured feature data. We parse Italian text to normalise heating types, floor levels, and energy ratings into queryable boolean and categorical fields.
When a listing disappears from the search grid, our pipeline flags it as 'sold or delisted' rather than simply deleting it, maintaining a complete historical record for your valuation models.
Property images and floor plans are lazy-loaded via JavaScript. We intercept the backend API responses to extract the complete array of high-resolution asset URLs without rendering the full DOM.
Automated valuation models (AVMs) ingest listing prices, surface areas, and location coordinates to train property appraisal algorithms.
Real estate funds track yield potential by comparing rental listings against sale prices in specific neighbourhoods over time.
Brokerages monitor competing franchise performance, tracking active listing volumes, time-on-market, and geographic expansion.
Research firms aggregate price-per-square-metre data across Italian provinces to publish housing market indices.
Municipalities and developers analyse housing supply density and new construction distribution to inform zoning decisions.
B2B service providers target specific agencies or new developments for interior design, energy certification, and mortgage services.
"Tecnocasa holds the most comprehensive catalogue of Italian real estate, but accessing historical pricing and agency portfolios requires dedicated extraction infrastructure."
Most teams underestimate the compute required to map regional property grids. Reliable Tecnocasa extraction requires Italian residential proxies, map coordinate boundary traversal, and daily schema validation. DataFlirt absorbs that complexity so your analysts can focus on valuation models.
Everything supported by our tecnocasa.it scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
We utilise PostGIS and custom bounding-box algorithms to systematically query Tecnocasa's map API, ensuring complete coverage of Italian municipalities without hitting pagination walls.
Traffic is routed exclusively through Italian residential proxies. This mimics local user behaviour, bypassing geo-restrictions and rate limits imposed on data centre IPs.
Our PostgreSQL backend hashes every listing. Subsequent pipeline runs only emit data when a price changes, a status updates, or a new property appears, drastically reducing your ingest costs.
Data delivered to where your team already works — no new tooling required.
About tecnocasa.it scraping, legality, and pipeline operations.
Ask us directly →Yes. Our pipeline covers every municipality listed on Tecnocasa.it, from major metropolitan areas like Milan and Rome to rural provinces, using systematic map-grid traversal.
Tecnocasa restricts the number of pages visible in standard search results. We circumvent this by interacting with their internal map API, querying small geographic bounding boxes to extract every listing in a region.
Yes. By running daily or weekly diffs against our database, we identify when a listing is removed from the active market and flag it appropriately in your delivery feed.
Yes. We operate separate pipelines for residential properties and commercial real estate (offices, retail, industrial) listed under the Tecnocasa Impresa brand.
We extract the direct URLs to all high-resolution images, floor plans, and virtual tours associated with a listing. We do not download the binary files, but provide the links for your systems to ingest.
For targeted regions or specific agencies, we can run daily extraction pipelines. For nationwide catalogue refreshes, we typically recommend a weekly cadence to balance compute costs and data freshness.
20-minute scoping call. Pilot dataset within the week. Production within two. From regional market analysis to nationwide AVM training datasets - we build the infrastructure to deliver clean Tecnocasa data directly to your warehouse.
