An Immobiliare scraper is useful when the team needs structured rows from selected property detail pages, not a full real estate data platform. Researchers, newsrooms, SEO teams, agencies, and monitoring analysts can use UScraper's Immobiliare Real Estate Detail Scraper to turn reviewed /annunci/ URLs into local CSV output.
Problem
Immobiliare property research breaks down in tabs
Immobiliare.it is built for browsing. That works well for one listing, but it becomes fragile when a team reviews thirty detail pages, compares districts, or supports a report with traceable examples. One person copies the price, another records the agency, a third saves the description, and the spreadsheet loses the source URL.
The practical problem is not opening Immobiliare. The practical problem is keeping source URL, price, location, agency, phone, description, surface, rooms, floor, availability, and listing date together in one reviewable file.
Official Immobiliare routes serve different needs. The Immobiliare.it Insights API and developer documentation are for approved programmatic access. The public real estate market pages and real estate reports provide market context. This scraper template is narrower: selected browser-visible detail pages, local desktop execution, and CSV export.
Personas
Who uses Immobiliare property data extraction?
| Team | Pain | CSV outcome | Example workflow |
|---|---|---|---|
| Market researchers | Comparable rows are copied by hand. | Price, surface, rooms, location, agency, source URL. | Shortlist Milan rentals. |
| Newsrooms | Reporters need traceable examples. | URL, facts, description, listing metadata. | Support a housing story. |
| SEO teams | Listing language is hard to compare. | Titles, descriptions, area names, attributes. | Audit district wording. |
| Agencies | Published listings need QA. | Agency, phone, title, price, availability. | Check owned or competitor listings. |
| Monitoring teams | Watchlists drift across weeks. | Repeatable rows from the same URL set. | Compare price or availability changes. |
The problem
Manual copying creates inconsistent columns, missing source URLs, and weak audit trails.
What you do instead
Run a controlled URL list so source, listing facts, and export file stay together.
Start small, then compare CSV rows against the browser.
The problem
A generic scraper can mix search-card fields with deeper detail-page fields.
What you do instead
Use a detail-page workflow when the job requires agency, phone, full description, floor, room, and availability context.
Use listing pages for discovery, then enrich selected URLs.
Workflow
How the template delivers structured export
The JSON workflow defines a straightforward loop. Navigate opens each Immobiliare detail URL, wait blocks let the page render, an interaction step clicks visible controls such as mostra, leggi, espandi, or continua, and Structured Export appends one row to CSV.
Navigate URL list -> Wait for Page Load -> Sleep -> Wait for body
-> Expand visible text controls -> Structured Export -> Loop Continue
Analysts can see the URL list, waits, expansion logic, CSV filename, append mode, and column definitions. That visibility matters when humans must defend the output.
Output
Immobiliare detail fields for analysis
There is no bundled CSV sample, so use the export shape summary with the JSON definition. The configured file is crawler-dettagli-immobili-immobiliare.csv, and each accessible detail URL should append one property row.
crawler-dettagli-immobili-immobiliare.csvColumn
url_inserito
Processed Immobiliare detail URL.
Column
titolo_appartamento
Listing title from H1, Open Graph, or page title.
Column
prezzo
Visible price text or euro amount.
Column
posizione
Address or location text from the listing header.
Column
agenzia
Advertiser or agency name.
Column
telefono_agenzia
Phone link or visible phone pattern when present.
Column
agenzia_url
Agency profile URL when exposed.
Column
contenuto_descrizione
Expanded description text or fallback meta description.
Column
riferimento_e_data_annuncio
Reference and listing date text.
Column
superficie
Surface area field.
Column
locali
Room count or local field.
Column
piano
Floor information.
The full export also includes titolo_descrizione, totale_piani_edificio, and disponibilita. Treat agency phone, agency URL, floor, total floors, and availability as optional because listings vary.
| Use case | Fields to prioritize | Quality check |
|---|---|---|
| Comparable research | Price, surface, rooms, floor, location | Check outliers against the page. |
| Editorial evidence | URL, title, description, agency, date | Preserve source and run date. |
| SEO analysis | Title, location, description, agency label | Group by district or property type. |
| Monitoring | Price, availability, reference, URL | Re-run the same reviewed list. |
Runbook
How teams use the Immobiliare scraper template
Define the question
Decide whether the run supports comparables, an article, SEO research, listing QA, or monitoring.
Prepare approved URLs
Add only reviewed Immobiliare.it detail URLs. Keep discovery and detail extraction separate.
Import the template
Open Immobiliare Real Estate Detail Scraper, download the JSON, and import it into UScraper.
Run a small batch
Start with three to five URLs. Confirm the real listing page loads and rows match the browser.
Review and repeat
Clear test rows or use a dated folder, then expand only after blanks and selector changes are understood.
API vs scraper
Immobiliare API vs scraper: choose by workflow
Choose the official API or approved data products when output feeds customer-facing software, a recurring commercial dataset, redistribution, or a production model. Stable rights matter more than the fastest first CSV.
Choose a hosted scraper, scraper API, or cloud actor when engineering delivery matters: queues, scheduling, API responses, logs, retries, and vendor-managed infrastructure. Tools from Octoparse, Apify, ZenRows, Spider, and similar providers can fit that model, with vendor custody and metering trade-offs.
Choose UScraper when the job is analyst-led: selected detail URLs, visible local workflow, no-code edits, and a CSV that opens immediately.
FAQ
Immobiliare scraper use-case FAQ
Use it when researchers, newsrooms, SEO teams, agencies, or monitoring analysts have reviewed detail URLs and need repeatable CSV output.
Next step
Try the Immobiliare Real Estate Detail Scraper
Start with the Immobiliare Real Estate Detail Scraper template, replace the bundled sample URLs, and validate a small batch before expanding the run. For adjacent workflows, browse all UScraper templates or the UScraper blog.