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Fincaraiz Listing Pages Scraper

The Fincaraiz listing pages scraper turns public Colombian real-estate result pages into a structured CSV export. UScraper opens the venta listing page, waits for property cards, scrolls through the load-more flow, and captures vivienda, detail URL, image URL, price, area, bedrooms, bathrooms, and location from every loaded card.

Output

CSV

Columns

8

Flow

Scroll + Ver Mas

Market

Colombia

Cloud upload

None

At a glance

Built for Fincaraiz property listing exports

Turn listing cards into fixed columns

Export Fincaraiz listings with consistent headers for property title, price, area, room counts, location, listing URL, and image URL.

Follow the load-more pattern

The workflow checks for an enabled Ver Mas control, scrolls, clicks it when available, waits for new cards, and repeats until the page stops offering more rows.

Keep the export local

The stock template writes the CSV to the folder you configure. It does not upload your saved property dataset to UScraper infrastructure.

Use it as a research starter

Treat the file as a structured capture for pricing checks, inventory snapshots, lead review, or internal enrichment rather than a guaranteed complete market database.

Who uses it

Practical uses for Fincaraiz data extraction

Real-estate analysts

Price checks

Favorable to scraping

Build a repeatable snapshot of asking prices, bedroom counts, area ranges, and neighborhoods before comparing supply across Colombian cities or property types.

Brokerage teams

Inventory review

Favorable to scraping

Export listing URLs and image links into one sheet so operators can inspect duplicate inventory, missing details, and stale public offers before outreach.

Data operations

Pipeline staging

Favorable to scraping

Use the CSV as a lightweight staging file before geocoding, CRM matching, deduplication, or enrichment with internal property records.

How to use

From template import to first Fincaraiz CSV

1

Download and import the template

Use the download button on this page to import the hosted JSON into UScraper.

2

Review the start URL

The template starts on https://www.fincaraiz.com.co/venta. Change it to an allowed Fincaraiz listing page when your research needs rentals, a city filter, or a narrower category.

3

Confirm the export folder

Structured Export creates fincaraiz-listados-scraper.csv; set the save location to a folder your team uses for working datasets.

4

Run the scroll loop

UScraper waits for listing cards, scrolls down, clicks the enabled Ver Mas control when present, and keeps looping until no more button is available.

5

Open and QA the output

Check row count, empty columns, duplicate URLs, and unusually formatted prices before using the file in reporting or downstream systems.

Output preview

CSV columns this property scraper exports

fincaraiz-listados-scraper.csv
CSV - UTF-8 - Create

Column

vivienda

Property title or listing summary visible on the card.

Column

vivienda_url

Detail page URL for follow-up review.

Column

imagen_url

Primary listing image URL when exposed by the card.

Column

precio

Displayed asking price captured from the listing text.

Column

areas

Area string such as square meters when present.

Column

habitaciones

Bedroom or room count text shown on the card.

Column

banos

Bathroom count text shown on the card.

Column

ubicacion

Location parsed from the property title or card text.

Sample rows

2 of many

viviendavivienda_urlimagen_urlprecioareashabitacionesbanosubicacion
Apartamento en venta en Chapinero...$ 420.000.00078 m23 Habs.2 BanosChapinero, Bogota
Casa en venta en Envigado...$ 890.000.000160 m24 Habitaciones3 BanosEnvigado, Antioquia
Headers included - one row per loaded listing card

Use the CSV as a best-effort extraction from the cards Fincaraiz loads during your run, not as proof that every active listing in the market has been collected.

For adjacent property workflows, compare this template with the Metros Cubicos Listing Scraper and the PAP.fr Immobilier Data Scraper. If your team first needs to discover source pages, the Google SERP Scraper can help build a reviewed URL list.


Frequently asked questions

Real-estate listings can be public and still controlled by Fincaraiz terms, robots rules, privacy law, database rights, and platform anti-abuse systems. Keep volume modest, avoid restricted or personal-data reuse, and get legal advice before commercial redistribution.

Limits and maintenance

What to watch before scaling

Operational checks

Rate limits

Keep the loop polite

Avoid parallel runs against the same source, leave enough wait time for listing cards to load, and stop if the site responds with CAPTCHA or access warnings.

Layout drift

Refresh selectors when cards change

This template depends on listing-card structure and visible text patterns. If Fincaraiz redesigns cards, inspect empty columns before trusting the export.

Compliance

Respect terms, robots, and privacy rules

Review Fincaraiz robots.txt and current platform terms before commercial reuse, redistribution, or large-scale monitoring.


Browse the full UScraper template library or install the UScraper desktop app when you are ready to run local, spreadsheet-first property extraction workflows.

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 GitHub

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FAQ

Frequently asked questions

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