Real estate analysts
Comparable review
Build a local dataset of asking prices, surfaces, room counts, floor details, and availability across selected property detail pages.
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This Immobiliare real estate detail scraper turns a list of Immobiliare.it property URLs into a structured CSV with price, location, agency, contact, description, size, room, floor, availability, and listing-date fields. Import the workflow into the UScraper local desktop app, replace the sample URLs, and collect one property row per detail page without building a custom crawler.
CSV
15
URL list
Built in
Free
At a glance
This template is built for teams that already have Immobiliare detail-page URLs and need a repeatable Immobiliare data extractor for spreadsheet work. It is not a broad keyword-search crawler. Use the companion Immobiliare real estate listing scraper to collect candidate URLs first, then pass selected detail pages into this workflow for deeper fields.
The automation follows a clear path: Navigate opens each URL, page-load and element waits reduce premature extraction, a short interaction step clicks expandable description controls, and Structured Export writes the configured columns. Loop Continue advances through the URL list so analysts can keep one CSV per market, city, campaign, or agency review.
Detail rows for spreadsheets
Export the fields property researchers normally inspect manually: title, price, address text, agency name, phone, agency URL, description, reference date, size, rooms, floor, total floors, and availability.
Multi-URL workflow
Replace the five sample Immobiliare URLs with your approved list. Append mode keeps every property in the same CSV while the loop advances from one page to the next.
Expansion step included
The workflow clicks visible controls such as "mostra", "leggi", or "espandi" before export so long descriptions have a better chance of appearing in the captured row.
Local desktop execution
The CSV is written to your configured local save folder unless you add a separate upload, sync, or sharing action.
Who this is for
Real estate analysts
Comparable review
Build a local dataset of asking prices, surfaces, room counts, floor details, and availability across selected property detail pages.
Agencies
Listing QA
Check published titles, descriptions, agency labels, and contact fields across owned or competitor listings without opening every page by hand.
Proptech teams
Dataset preparation
Collect approved detail-page records for enrichment, deduplication, lead routing, or internal market-monitoring dashboards.
For broader market coverage, pair this page with sibling real estate templates such as Tecnocasa Scraper by URL, Trovacasa Scraper, and Idealista-style listing alternatives in the template library. If your workflow starts outside Italy, compare with Zillow Details Scraper for a similar detail-page pattern.
How to use
Replace sample URLs
Open the Navigate block and replace the bundled Immobiliare detail-page URLs with your approved property list. Keep one detail URL per input.
Confirm access
Open one URL in the same browser profile first. If Immobiliare shows a DataDome, CAPTCHA, consent, or device-check page, solve or configure access before running a batch.
Set the CSV folder
Structured Export writes crawler-dettagli-immobili-immobiliare.csv with headers and append mode. Change the save location for each client, city, or research run.
Run and review
Run the loop, then spot-check several rows against the live pages. Empty price, agency, or description cells usually mean access was blocked or the page layout changed.
Output preview
The template exports one row per property detail URL. These sample values are illustrative because no bundled CSV sample was provided; the actual output depends on the pages you can access and the fields visible in your browser session.
| url_inserito | titolo_appartamento | prezzo | posizione | agenzia | superficie | locali | disponibilita |
|---|---|---|---|---|---|---|---|
| https://www.immobiliare.it/annunci/106718379/ | Appartamento via Roma, Centro, Milano | EUR 420.000 | Milano, Centro | Studio Casa Milano | 92 m2 | 3 | Libero |
| https://www.immobiliare.it/annunci/109468067/ | Trilocale con terrazzo, Torino | EUR 285.000 | Torino, Crocetta | Agenzia Torino Nord | 78 m2 | 3 | Disponibile subito |
| https://www.immobiliare.it/annunci/108553385/ | Villa bifamiliare, Bologna | EUR 690.000 | Bologna, Colli | Immobiliare Emilia | 180 m2 | 5 | Al rogito |
crawler-dettagli-immobili-immobiliare.csvColumn
url_inserito
The final URL loaded for the current Immobiliare detail page.
Column
titolo_appartamento
The page H1, Open Graph title, or browser title.
Column
prezzo
Visible price text or a euro amount found in the page body.
Column
posizione
Address or location text exposed by the listing header.
Column
agenzia
Advertiser or agency name when present.
Column
telefono_agenzia
Phone link text or a visible Italian phone pattern.
Column
contenuto_descrizione
Expanded description text or meta description fallback.
Column
riferimento_e_data_annuncio
Listing reference and date extracted from the visible detail text.
Column
superficie
Surface area field, commonly shown as square meters.
Immobiliare detail pages may contain public listing information, but automated collection can still be limited by platform terms, robots directives, agency rights, personal data rules, and local law. Use modest runs, avoid bypassing access controls, and get legal review before using exported rows commercially.
Before you run
Keep these Immobiliare constraints visible
DataDome and CAPTCHA pages can block extraction
The source bundle recorded HTTP 403 device-check behavior. Use an accessible browser session, keep batches modest, and verify one detail page before running a long URL list.
Property fields may move or rename
Empty cells can mean Immobiliare changed a selector, translated a label, hid a field, or returned a partial page. Spot-check rows and update the export columns when the layout changes.
Respect terms, privacy, and agency rights
Treat contact details, descriptions, and agency data as regulated business information. Use the export for approved research and document the basis for any commercial reuse.
Download the template, install the desktop app from UScraper download, and use this workflow when you need to export Immobiliare listings from selected detail-page URLs into a structured CSV.
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