QuintoAndar Scraper
Scrape Listings and Prices from QuintoAndar
Extract rental and sale listings, asking prices, and area data from Brazil's leading digital real estate marketplace. QuintoAndar is a JavaScript-rendered app and rate-limits scrapers at scale. Scrape.do renders it and rotates IPs automatically.
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15.1M Monthly Visits. Rent and Buy. One API.
QuintoAndar is one of Brazil's most-visited property portals with over 15 million monthly visits, listing long-term rentals and home sales across 70+ cities. It rebuilt Brazilian renting around removing the guarantor requirement, with digital contracts and built-in insurance, and every listing carries asking prices, condo fees, and price-per-square-meter in reais.
With Scrape.do you can track rental and sale asking prices, monitor price-per-m² trends by neighborhood and city, capture availability and time-on-market signals, and feed valuation models and rental-market analytics. All through a single API call.
JavaScript SPA. Rate Limits. Handled.
QuintoAndar's site is a JavaScript-rendered single-page app served through CloudFront. A raw HTTP fetch returns the shell before React fills in listings, prices, and search results, so you need a real browser to see the data, and hitting its listing and search endpoints repeatedly from one IP trips rate limits that throttle bulk extraction.
Scrape.do renders the page in a real headless browser with render=true and rotates high-quality residential IPs so no single address crosses the rate limit. You get fully populated listing and search HTML, in reais and Brazil-local, without running your own browser fleet or proxy pool.
How to Scrape QuintoAndar
Select a Target
Send API Request
import requests
import urllib.parse
token = "<SDO-token>"
targetUrl = "https://www.quintoandar.com.br/imovel/894255963/comprar/apartamento-3-quartos-vila-das-merces-sao-paulo"
render = "false" # set to "true" to enable JavaScript rendering
super = "false" # set to "true" to enable residential proxies
geoCode = "br"
encodedUrl = urllib.parse.quote(targetUrl)
url = f"https://api.scrape.do/?token={token}&url={encodedUrl}&render={render}&super={super}&geoCode={geoCode}"
response = requests.get(url)
print(response.text)Get HTML
<!DOCTYPE html>
<html lang="pt-BR">
<head>
<meta charset="utf-8">
<title>Apartamento com 3 quartos à venda em Vila das Merces, São Paulo - QuintoAndar</title>
</head>
<body>
<h1 class="listing-title">Apartamento com 3 quartos à venda em Vila das Merces</h1>
<div class="price-block">
<span class="price">R$ 520.000</span>
<span class="price-m2">R$ 6.933/m²</span>
<span class="condo">Condomínio R$ 1.000</span>
<span class="iptu">IPTU 12x R$ 84</span>
</div>
<div class="features">
<span class="rooms">3 quartos (1 suíte)</span>
<span class="area">75 m²</span>
</div>
<div class="location">Rua Guareta, Vila das Merces, São Paulo</div>
<div class="gallery" data-photos="39"></div>
<!-- ... remaining page content ... -->
</body>
</html>
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Sounds great, but I have a few questions..
Yes. QuintoAndar is a JavaScript-rendered single-page app, so a plain HTTP request returns an empty shell before the listings and prices load. Use Scrape.do with render=true to execute the page JavaScript in a real browser and capture the fully populated listing and search content, and set geoCode=br for Brazil-local results.
You can extract property titles, asking prices (in reais), price-per-square-meter, condo fees and IPTU, area, number of bedrooms and suites, location down to street and neighborhood, photo counts, and full search-result grids for both rentals and sales across 70+ Brazilian cities.
Scraping QuintoAndar's listing and search endpoints repeatedly from one IP trips rate limits that throttle bulk extraction. Scrape.do rotates high-quality residential IPs on every request so no single address crosses the limit, letting you monitor prices and availability across many listings without being throttled.
