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URL: https://apify.com/scrapers_lat/infocasas-scraper

โ‡ฑ InfoCasas Real Estate Listings Scraper ยท Apify


๐Ÿ‘ InfoCasas Real Estate Listings Scraper avatar

InfoCasas Real Estate Listings Scraper

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from $8.00 / 1,000 results

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InfoCasas Real Estate Listings Scraper

Scrape Infocasas real estate listings across Uruguay, Paraguay and more. Extract price, currency, operation, property type, bedrooms, bathrooms, area, location, images, agent and coordinates.

Pricing

from $8.00 / 1,000 results

Rating

5.0

(1)

Developer

๐Ÿ‘ Scrapers Lat

Scrapers Lat

Maintained by Community

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Bookmarked

2

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Monthly active users

a day ago

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๐Ÿ‘ InfoCasas Real Estate Listings Scraper

InfoCasas Scraper

Extract real estate listings, prices, and agent data from InfoCasas, one of the largest property portals in the region with millions of active listings across Uruguay, Paraguay, Bolivia and more.

๐Ÿ‘ Apify
๐Ÿ‘ LATAM
๐Ÿ‘ Maintained
๐Ÿ‘ Output

25 fields
per record
4 countries
LATAM coverage
JSON / CSV / Excel
output formats
Updated
2026-06-19

What you get

Each listing returns a structured record ready to load into any database, spreadsheet, or analytics pipeline:

  • imageUrl: main listing photo
  • title: full listing title as published
  • price: asking price in the listed currency
  • currency: ISO currency code (USD, UYU, PYG, BOB)
  • priceUsd: price normalized to US dollars
  • operationType: sale or rental (Venta, Alquiler)
  • propertyType: property category (Casa, Apartamento, Terreno, and more)
  • bedrooms: number of bedrooms
  • bathrooms: number of bathrooms
  • garages: number of garage spaces, when applicable
  • totalAreaM2: total land or plot area in square meters
  • builtAreaM2: built area in square meters
  • neighborhood: neighborhood name
  • city: city of the listing
  • state: state or department
  • country: country of the listing
  • address: street address, when the publisher shows it
  • listingId: unique InfoCasas listing ID
  • url: direct link to the listing page
  • publishedAt: date the listing was first published
  • updatedAt: date the listing was last updated
  • description*: full listing description
  • amenities*: list of features and amenities
  • images*: every photo on the listing
  • agentName*: name of the agency or private seller
  • agentType*: whether the publisher is an agency or a private owner
  • agentPhone*: contact phone or WhatsApp number
  • agencyAddress*: street address of the publishing agency, when shown
  • agencyProfileUrl*: link to the agency profile page with all its listings
  • subsidiaries*: agency branch offices with name, phone, address and office hours
  • latitude*: map latitude
  • longitude*: map longitude
  • observedAt: when this listing was last seen by the scraper

*These fields only appear when withDetails is set to true.

Who is it for

Use caseWho benefits
Price monitoringAgencies tracking asking prices by neighborhood
Market researchAnalysts studying supply and pricing trends in LATAM real estate
Lead generationBrokers sourcing listings and publisher contacts
Data pipelinesDevelopers feeding BI dashboards or valuation models
Investment analysisInvestors comparing yields across cities and property types

Frequently Asked Questions

Which InfoCasas country sites does it support? It works across all InfoCasas domains including Uruguay (infocasas.com.uy), Paraguay (infocasas.com.py), Bolivia (infocasas.com.bo) and Argentina. Just paste a search URL from the country you want and the scraper reads listings from that domain.

How many listings can I collect per run? There is no hard cap in the actor. A single search can span thousands of listings paginated 21 per page, and you set the ceiling with the Max Items input. For very large datasets, split the work by city, operation type, or price band.

Can I filter by operation, property type, location, or price? Yes. Apply any filters directly on InfoCasas, then copy the resulting URL into the Search URL input. Operation, property type, location, price range, area, and bedroom filters encoded in the URL are all respected automatically.

What is the difference between the basic and detailed output? By default the scraper returns the core listing fields, which already include price, area, rooms, and location. Turn on Fetch listing details to also collect the full description, complete photo gallery, amenities, publisher contact, and map coordinates.

What happens if a listing is missing data or a page fails? Optional fields like address or garage count are simply left empty when the publisher does not provide them. If a page cannot be loaded, the scraper records the reason in the error field and continues without stopping the run.

Example use cases

Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:

Related scrapers

Need data from the same space? Here are other scrapers we build and maintain:

More scrapers at scrapers.lat

This actor is built and maintained by scrapers.lat, where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at scrapers.lat.


This actor is an independent tool and has no affiliation with InfoCasas. It only accesses data that is publicly available on the platform. Use it in accordance with InfoCasas's terms of service.

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