Real-estate analysts
Comparable review
Export selected projects into a spreadsheet, then compare area ranges, bedroom counts, status, location, and price across similar developments.
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This Fincaraiz property scraper exports public Fincaraiz project and property detail pages into a structured CSV file. Import the workflow into the UScraper local desktop app, replace the sample detail URLs, and collect property name, source URL, location, image URL, description, stratum, status, total area, private area, bedrooms, bathrooms, and price without writing code.
CSV
12
URL list
Colombia
None
At a glance
Use this template when your research starts with selected Fincaraiz project URLs rather than a broad search result page. The bundled Navigate block includes two sample project pages, and the workflow is built so you can add more approved detail-page URLs to the same array. Each page has no pagination of its own, but the project "Tipos" table can contain multiple unit rows; the scraper exports those rows separately while repeating shared page-level fields such as location and description.
Detail rows for spreadsheet review
Capture property-level and unit-level fields in one file: title, URL, location, image, description, stratum, status, area, bedrooms, bathrooms, and price.
Multi-URL batch workflow
Replace the sample URLs with your reviewed Fincaraiz detail pages. Append mode keeps every processed page in one CSV.
Local desktop execution
The stock workflow writes to your configured folder and does not send the exported property dataset to UScraper infrastructure.
Useful after listing discovery
Pair it with a listing-page export when you need to discover candidates first, then enrich selected detail URLs with deeper fields.
Who uses it
Real-estate analysts
Comparable review
Export selected projects into a spreadsheet, then compare area ranges, bedroom counts, status, location, and price across similar developments.
Brokerage teams
Listing QA
Review public detail pages for missing descriptions, stale pricing, image availability, and project status before outreach or internal matching.
Data operations
Pipeline staging
Use the CSV as a controlled staging file before deduplication, geocoding, enrichment, or handoff into a CRM or property intelligence workflow.
If you need source URLs first, start with the Fincaraiz listing pages scraper, then pass selected property links into this detail-page workflow. For adjacent property portals, compare Portal Inmobiliario detail scraper, Propiedades post details scraper, and Lamudi post details scraper.
How to use
Replace sample URLs
Open Navigate and replace the two sample Fincaraiz project URLs with the public detail pages approved for your research run.
Confirm page access
Open one target page in the same browser session first. Resolve cookie prompts normally and pause if the site shows verification, unavailable listings, or unexpected login requirements.
Set the CSV folder
Structured Export writes fincaraiz-detalles-scraper.csv with headers and append mode. Change the save location for each client, market, or batch.
Run and review
UScraper sets the browser size, navigates through the URL list, waits for the table rows, exports structured columns, and continues to the next URL.
Output preview
The bundle did not include a sample CSV, so the example rows below are illustrative and mirror the configured export shape. Actual values depend on the visible Fincaraiz page, the rows in its project type table, and whether the page exposes every attribute during your run.
| vivienda | ubicacion | area_total | area_privada | habitaciones | banos | precio |
|---|---|---|---|---|---|---|
| Ejereal Apartamentos | Avenida Centenario - Armenia | 72 m2 | 65 m2 | 3 | 2 | Desde $ 420.000.000 |
| L Unique Apartamentos | Riomar - Barranquilla | 96 m2 | 84 m2 | 2 | 3 | Desde $ 690.000.000 |
| Proyecto Parque Central | Medellin - Antioquia | 58 m2 | 52 m2 | 2 | 2 | Desde $ 315.000.000 |
fincaraiz-detalles-scraper.csvColumn
vivienda
Project or property name from the page heading.
Column
vivienda_url
The Fincaraiz detail URL currently being processed.
Column
ubicacion
Primary location text, normalized from comma-separated page copy.
Column
imagen_url
Primary property image URL or Open Graph image fallback.
Column
descripcion
Description block cleaned into a single spreadsheet cell.
Column
estrato
Displayed stratum value when present on the page.
Column
estado
Project or property status captured from visible labels.
Column
area_total
Total area value from the current table row.
Column
area_privada
Private area value from the current table row.
Column
habitaciones
Bedroom count parsed from the current row.
Column
banos
Bathroom count parsed from the current row.
Column
precio
Displayed price value from the current row.
Sample rows
1 of many
| vivienda | vivienda_url | ubicacion | imagen_url | descripcion | estrato | estado | area_total | area_privada | habitaciones | banos | precio |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ejereal Apartamentos | ... | Avenida Centenario - Armenia | Apartamentos con zonas comunes y acceso vial cercano. | 5 | En venta | 72 m2 | 65 m2 | 3 | 2 | Desde $ 420.000.000 |
Fincaraiz pages may be publicly viewable, but automated collection can still be limited by site terms, robots rules, copyright, database rights, privacy law, and real-estate regulations. Keep runs modest, do not bypass access controls, and get legal review before commercial reuse.
Before you run
Operational checks
Keep batches modest
Avoid parallel runs against the same source, leave enough time for pages and tables to load, and pause if Fincaraiz displays verification or access warnings.
Refresh selectors when detail pages change
The export depends on heading text, page labels, image markup, and the Tipos table structure. Empty columns usually mean the page layout changed or the listing lacks that field.
Treat property content carefully
Descriptions, photos, prices, locations, and project details can carry platform, copyright, privacy, and commercial-use restrictions. Keep your compliance notes with the CSV.
Download the free JSON template, install the desktop app from UScraper download, or browse the full UScraper template library when you need more local, spreadsheet-first property extraction workflows.
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