Real estate analysts
Market snapshots
Favorable to scraping
Collect prices, locations, rooms, surfaces, floors, and descriptions from selected Italian cities, then compare sale and rental segments in Excel, Sheets, or a BI dashboard.
Real Estate$50Free
Immobiliare Scraper for Real Estate Listings
This Immobiliare scraper turns Immobiliare.it real estate search-result pages into a structured CSV export. Import the template into UScraper, replace the sample Firenze sale URL with the city, sale, rental, or property-search URLs you are allowed to review, and collect listing type, location, title, listing URL, price, rooms, surface, bathrooms, floor, and description in one local desktop app run.
Output
CSV
Columns
10
Input mode
Multi-URL
CAPTCHA wait
180s
Template
Free import
At a glance
Export Immobiliare listings to CSV
Turn search pages into fixed columns
Use the template for sale pages, rental pages, city searches, or filtered property-result URLs. The CSV keeps price, location, room count, surface, bathrooms, floor, description, and detail URL fields in predictable headers for filtering and review.
Follow result-page pagination
After each Structured Export pass, UScraper checks whether Immobiliare.it exposes a next-page control. When it does, the workflow clicks it, waits for the new page, verifies listing links, and continues the loop.
Keep research on your machine
This is a local desktop app workflow. The stock template writes the Immobiliare to CSV output to your configured folder and does not route listing rows through a cloud scraping service.
Built for real estate due diligence
Export comparable listings for local market scans, agency research, and early due-diligence checks before deciding which property pages deserve manual review.
Who this is for
Immobiliare data collection use cases
Buyer agents and brokers
Shortlist building
Favorable to scraping
Use the listing URL column as a reviewed handoff list for manual checks, outreach notes, client shortlists, and follow-up qualification.
Data operations teams
Source discovery
Nuanced outcome
Pair this workflow with the Immowelt Immobilien Listing Scraper, Zillow Listing Scraper by Keyword, and PAP.fr Immobilier Data Scraper when building a reviewed real estate source library.
How to use
Run the Immobiliare scraper in five steps
From Immobiliare.it search URL to spreadsheet
- 1
Download and import
Download the hosted Immobiliare scraper JSON, then import it into UScraper.
- 2
Replace the sample URLs
Edit the Navigate block with one or more Immobiliare.it result pages, such as sale listings, rental listings, neighborhood pages, or filtered property-search URLs.
- 3
Run in visible browser mode
Let UScraper open the page, wait for load, pause for late-rendered cards, and detect whether listing links or a DataDome challenge are present.
- 4
Export and paginate
Structured Export appends the current page to CSV. When a valid next-page link appears, the workflow clicks it, waits again, and repeats the extraction path.
- 5
Open and QA the CSV
Review empty fields, duplicate URLs, unusual price strings, and descriptions before using the export for reports, enrichment, or downstream analysis.
Output preview
What the Immobiliare CSV export contains
crawler-lista-immobili-immobiliare.csvColumn
tipo_immobili
Listing category inferred from breadcrumbs, such as Case - Appartamenti.
Column
posizione
Location line from the result card when available.
Column
appartamento_titolo
Listing title or card headline.
Column
appartamento_titolo_URL
Immobiliare.it detail URL for manual review.
Column
prezzo
Displayed price or prezzo su richiesta.
Column
locale
Room count text, usually local or locali.
Column
superficie
Surface area string, usually in m2.
Column
bagno
Bathroom count when shown on the card.
Column
piano
Floor text when Immobiliare exposes it.
Column
descrizione
Longest useful description snippet detected on the card.
Sample rows
2 of many
| tipo_immobili | posizione | appartamento_titolo | appartamento_titolo_URL | prezzo | locale | superficie | bagno | piano | descrizione |
|---|---|---|---|---|---|---|---|---|---|
| Case - Appartamenti | Firenze Sud, Firenze | Quadrilocale via di Ripoli, Firenze | EUR 420.000 | 4 locali | 112 m2 | 2 bagni | 2 piano | Luminoso appartamento con balcone, cantina e buoni collegamenti verso il centro. | |
| Case - Appartamenti | Rifredi, Firenze | Bilocale ristrutturato vicino tramvia | EUR 255.000 | 2 locali | 58 m2 | 1 bagno | 3 piano | Soluzione pronta per investimento con cucina separata e servizi nelle vicinanze. |
Headers included - one row per visible listing link - later pages append underneath
For broader discovery, browse the UScraper template library, install the UScraper desktop app, or compare this workflow with the Lamudi Listing Scraper for another real estate listing export pattern.
Frequently asked questions
Immobiliare.it listings may be visible in a browser and still governed by site terms, robots directives, database rights, copyright, privacy rules, and anti-abuse controls such as DataDome. Keep collection narrow, respect access restrictions, avoid bypassing technical controls, and get legal review before resale, outreach, enrichment, or model training.
Before you run
Practical limits and maintenance
Guardrails for reliable Immobiliare exports
Access
DataDome or CAPTCHA can block listing rows
Autonomous tests consistently reached DataDome CAPTCHA or 403 pages. The template includes a 180-second manual-resolution pause and refresh path, but it should not be used to force through access controls.
Rate limits
Keep batches modest and paced
Avoid parallel runs and aggressive repetition. Slower, reviewed batches usually produce cleaner exports than a large unattended export Immobiliare listings job started without a test.
Layout
Listing markup can change
If price, surface, bathroom, or description columns go blank, Immobiliare.it may have changed its card markup or hidden a field on that result type. Refresh the workflow before relying on production exports.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
Open-source templates
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
Contribute on GitHubBrowse more templates in the library
All Templates