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QuintoAndar Property Search Scraper: Extract Brazilian Real Estate Data

Understanding QuintoAndar and Brazilian Real Estate Data

QuintoAndar dominates Brazil's digital real estate market, connecting property owners with renters and buyers across major cities like São Paulo, Rio de Janeiro, and Brasília. The platform modernizes Brazilian real estate with transparent pricing, virtual tours, and streamlined transactions.

This scraper extracts complete property details from individual listing pages—the full dataset behind each property including specifications, pricing breakdowns, amenities, location details, and visual assets. Essential for real estate agencies, market researchers, investors, and PropTech competitors analyzing Brazil's rapidly evolving property market.

What This Scraper Extracts

The scraper processes individual property listing URLs, extracting comprehensive data across multiple categories:

Property Specifications: ID, type (apartment, house, commercial), area (m²), bedrooms, suites, bathrooms, parking spaces. Core metrics for property classification and comparison.

Pricing Data: Rent price, sale price, condo fees, IPTU (property tax), and total monthly cost. Complete financial picture enabling ROI calculations and market pricing analysis.

Features & Amenities: Amenities array (pool, gym, security) and installations (air conditioning, kitchen appliances). Critical for matching properties to buyer/renter preferences.

Location Details: Full address, city, neighborhood, and region name. Geographic data powers location-based analysis and market segmentation.

Listing Attributes: For rent/sale flags, primary market indicator, furnished status, listing tags, active special conditions, yield value and strategy. Understand property availability and investment potential.

Visual Assets: Banner image, photo gallery, and image captions. Rich media for displaying listings or analyzing property presentation quality.

Availability: Visit status, visits unavailable flag, secondary house indicator. Real-time booking and viewing availability.

Marketing Content: Short rent/sale descriptions and categories. SEO-optimized property descriptions for content analysis.

Target Users: Real estate agencies building property databases, investors analyzing rental yields and pricing trends, market researchers tracking supply/demand dynamics, PropTech platforms aggregating listings, relocation services helping clients find properties.

Input Configuration

{
"urls":[
"https://www.quintoandar.com.br/alugar/imovel/movida-aluguel-de-carros-rua-da-consolacao-consolacao-sao-paulo-sp-brasil2"
],
"ignore_url_failures":true,
"max_items_per_url":50
}

urls: Array of individual property listing URLs (not search pages). Format: https://www.quintoandar.com.br/alugar/imovel/[property-slug] or /comprar/imovel/[property-slug]. Collect URLs from QuintoAndar search results or use a search scraper first.

ignore_url_failures: Set true when scraping multiple URLs. Individual failures (removed listings, expired properties) won't stop the entire run. Essential for large datasets.

max_items_per_url: Maximum items per URL. For individual property pages, this typically stays at default since each URL represents one property. Relevant when batch processing.

Output Structure and Field Definitions

Sample Output:

{
"id":"892848183",
"type":"StudioOuKitchenette",
"area":36,
"bathrooms":1,
"bedrooms":1,
"suites":null,
"parking_spaces":1,
"amenities":[
"VARANDA",
"ARMARIOS_NOS_BANHEIROS",
"GELADEIRA_INCLUSO",
"BOX",
"ARMARIOS_EMBUTIDOS_NO_QUARTO",
"FOGAO_INCLUSO",
"ARMARIOS_NA_COZINHA",
"CHUVEIRO_A_GAS",
"PODE_TER_ANIMAIS_DE_ESTIMACAO"
],
"installations":[
"SALAO_DE_FESTAS",
"ACADEMIA",
"LAVANDERIA_NO_PREDIO",
"CHURRASQUEIRA",
"GAS_ENCANADO",
"PISCINA",
"ESPACO_GOURMET_NA_AREA_COMUM",
"PERTO_DE_METRO_OU_TREM",
"SAUNA"
],
"total_cost":2980,
"rent_price":2320,
"condo_iptu":570,
"sale_price":0,
"address":{
"address":"Rua Coronel Luís Barroso",
"city":"São Paulo"
},
"city":null,
"neighbourhood":"Santo Amaro",
"region_name":"Santo Amaro ",
"is_secondary_house":null,
"banner":"892848183-605.0481208945772MG71718.JPG",
"photos":[
{
"url":"892848183-976.9970135933576MG71632.JPG",
"subtitle":"Sala"
},
{
"url":"892848183-723.9120646367732MG71643.JPG",
"subtitle":"Quarto"
},
{
"url":"892848183-179.1937101955292MG71654.JPG",
"subtitle":"Banheiro"
},
{
"url":"892848183-45.40533771237543MG71665.JPG",
"subtitle":"Sala"
},
{
"url":"892848183-372.3945665282732MG71686.JPG",
"subtitle":"Varanda"
},
{
"url":"892848183-221.06778409977946MG71697.JPG",
"subtitle":"Varanda"
},
{
"url":"892848183-605.0481208945772MG71718.JPG",
"subtitle":"Sala/Quarto"
},
{
"url":"892848183-860.2711029942018MG71729.JPG",
"subtitle":"Sala"
},
{
"url":"892848183-616.9353048118794MG717310.JPG",
"subtitle":"Cozinha"
},
{
"url":"892848183-800.9408366848844MG717611.JPG",
"subtitle":"Hall Social"
},
{
"url":"892848183-66.85995695097324MG717712.JPG",
"subtitle":"Lavanderia"
},
{
"url":"892848183-262.9653241572969MG718013.JPG",
"subtitle":"Piscina"
}
],
"image_caption_list":null,
"for_rent":true,
"for_sale":false,
"is_primary_market":false,
"visit_status":null,
"visits_unavailable":false,
"is_furnished":false,
"active_special_conditions":null,
"listing_tags":[
"RENT_ON_TERMINATION",
"RENT_ON_TERMINATION_RENTFLOW_ENABLED"
],
"yield_value":null,
"yield_strategy":null,
"categories":[],
"short_rent_description":"Alugar kitnet com varanda, piscina e academia no condomínio. 1 quarto.",
"short_sale_description":"",
"from_url":"https://www.quintoandar.com.br/alugar/imovel/sao-paulo-sp-brasil"
}

ID: Unique property identifier in QuintoAndar's system. Use: Primary key for databases, tracking properties over time, deduplication.

Type: Property category (apartment, house, commercial, studio). Use: Classification, filtering by property type.

Area: Total property size in square meters. Use: Price per m² calculations, size-based filtering.

Bathrooms / Bedrooms / Suites: Room counts. Use: Matching properties to space requirements, market segmentation.

Parking Spaces: Number of parking spots included. Use: Essential filter in urban Brazilian markets where parking is premium.

Amenities: Array of building/property features (pool, gym, playground, 24h security, party room). Use: Lifestyle matching, premium property identification.

Installations: Installed appliances/systems (air conditioning, built-in wardrobes, kitchen appliances). Use: Furnished vs. unfurnished classification, move-in readiness assessment.

Total Cost: Complete monthly expense for rentals (rent + condo + IPTU). Use: True affordability calculation, budget matching.

Rent Price / Sale Price: Base rental or purchase price. Use: Market pricing analysis, investment calculations.

Condo IPTU: Monthly condominium fees and property tax. Use: Hidden cost analysis, total ownership expense calculation.

Address / City / Neighbourhood / Region Name: Complete location hierarchy. Use: Geographic filtering, neighborhood analysis, proximity searches.

Is Secondary House: Boolean indicating if property is owner's secondary residence. Use: Identifying investment properties vs. primary residences.

Banner / Photos / Image Caption List: Main image, photo gallery URLs, and descriptions. Use: Visual assets for listings, property presentation quality analysis.

For Rent / For Sale: Boolean flags for listing type. Use: Filtering by transaction type, identifying dual-purpose listings.

Is Primary Market: New construction vs. resale indicator. Use: Market segment analysis, new development tracking.

Visit Status / Visits Unavailable: Viewing availability. Use: Booking coordination, identifying immediately available properties.

Is Furnished: Furnished vs. unfurnished flag. Use: Critical filter for renters, pricing premium analysis.

Active Special Conditions: Promotional terms or special offers. Use: Identifying discounted properties, promotional analysis.

Listing Tags: Marketing labels (luxury, new, price reduced). Use: Property categorization, marketing strategy analysis.

Yield Value / Yield Strategy: Investment return metrics and rental income strategy. Use: ROI calculations, investment property evaluation.

Categories: Property classifications and tags. Use: Multi-dimensional categorization.

Short Rent Description / Short Sale Description: Brief marketing copy. Use: Content analysis, SEO keyword extraction.

Usage Guide

1. Collect Property URLs: Gather individual property listing URLs from QuintoAndar search results or use a complementary search scraper. URLs must be detail pages, not search/filter pages.

2. Configure Input: Add URLs to JSON array. Set ignore_url_failures: true for robust batch processing. Adjust max_items_per_url if needed (typically leave at default for property details).

3. Validate URLs: Test with 5-10 URLs first. Verify they're property detail pages following format: /alugar/imovel/[slug] or /comprar/imovel/[slug].

4. Run Scraper: Execute via Apify console. Processing 50 properties typically completes in 2-4 minutes depending on proxy performance.

5. Export Data: Download as JSON (databases), CSV (spreadsheets), or Excel (reporting). Filter by for_rent/for_sale flags to separate rental and sales data.

Error Handling: Failed URLs indicate removed listings or invalid formats. Check activity log for details. URLs from other QuintoAndar pages (user profiles, blog) will fail.

Strategic Applications

Rental Yield Analysis: Calculate rental returns using yield_value, rent_price, and sale_price. Identify high-performing investment neighborhoods.

Market Pricing Intelligence: Track price per m² across neighborhoods, property types, and amenities. Benchmark pricing strategies.

Inventory Monitoring: Track competitor listings—what properties they offer, pricing positioning, amenities emphasis. Monitor new construction releases via is_primary_market.

Demand Forecasting: Analyze amenities trends (increasing gym/coworking space mentions) and furnished property growth to predict market shifts.

Location Analysis: Aggregate data by neighborhood/region to identify emerging areas, oversupplied markets, or undervalued locations.

Client Matching: Use detailed specs (bedrooms, amenities, furnished status) to automatically match properties to client requirements.

Best Practices

Regular Scraping: Brazilian real estate moves quickly. Weekly scraping captures new listings and price changes. Store historical data to track price trends.

Segment by Transaction Type: Separate rental and sales data using for_rent/for_sale flags for cleaner analysis.

Enrich with External Data: Combine with crime statistics, school ratings, transport access data for comprehensive location scoring.

Calculate True Costs: Use total_cost (not just rent_price) for accurate affordability analysis. Include condo_iptu in buyer calculations.

Quality Checks: Validate area > 0, prices are reasonable, required fields (address, city) are populated. Flag anomalies for review.

Conclusion

The QuintoAndar Property Search Scraper transforms Brazil's leading PropTech platform into actionable real estate intelligence. Extract complete property data for investment analysis, market research, or competitive intelligence in Latin America's largest real estate market.