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.

22 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
• 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 case	Who benefits
Price monitoring	Agencies tracking asking prices by neighborhood
Market research	Analysts studying supply and pricing trends in LATAM real estate
Lead generation	Brokers sourcing listings and publisher contacts
Data pipelines	Developers feeding BI dashboards or valuation models
Investment analysis	Investors 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.

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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.