QuintoAndar Scraper | $1.5/1K — Rent, Sale & Rental Yield

US$1.50 per 1,000 listings + US$0.005 per run. Proxies are included; locations that fail or can't be found are never charged.

No URL needed: type a city or neighborhood. Search QuintoAndar — one of Brazil's largest rental and sale property platforms — and get every listing back as structured data: sale price, rent, total monthly cost (rent + condo + IPTU + fees), area, bedrooms, bathrooms, parking, rental yield, address, amenities and photos. Filter by price, bedrooms, area and parking.

• Up to 20 locations per run, typed as plain text ("Pinheiros, São Paulo", "Campinas, SP").
• Up to 1,000 listings per location, the most QuintoAndar returns for a single search.
• Total monthly cost and rental yield on every row where QuintoAndar publishes them, plus up to 20 photo links.

Em português: raspe o QuintoAndar digitando só a cidade ou o bairro, sem colar URL, e receba preço de venda, aluguel, custo total mensal (aluguel + condomínio + IPTU + taxas), condomínio + IPTU, área, quartos, vagas, yield de aluguel estimado pelo próprio QuintoAndar, endereço, comodidades e fotos em tabela pronta pra planilha. Até 20 localizações por execução e até 1.000 anúncios por busca. Custa US$1,50 por 1.000 anúncios mais US$0,005 por execução; localização não encontrada ou que falhou não é cobrada. Feito pra análise de rentabilidade, comparação entre alugar e comprar, monitoramento de preços e relatórios de mercado.

Need Zap Imóveis or VivaReal too? The Zap Imóveis Scraper and the VivaReal Scraper take the same kind of location input and add condo fee and IPTU as separate fields, coordinates and the advertiser's CRECI. Run the three side by side for a fuller picture of a neighborhood.

What totalCost and rentalYield mean

• totalCost is the monthly total QuintoAndar shows for a rental: rent + condo + IPTU + fees. rent alone is the base rent. Rent searches filter by this total, not by the base rent.
• condoPlusIptu is the condo fee plus property tax (IPTU) per month, when informed.
• rentalYield is QuintoAndar's own estimated monthly rental yield for a sale listing, delivered as published (0.0041 = 0.41% per month). The actor does not recalculate it.

What you get

One row per listing, real output from a "Pinheiros, São Paulo" search (photo list shortened here):

{
  "id": "894529324",
  "url": "https://www.quintoandar.com.br/imovel/894529324/comprar",
  "business": "sale",
  "salePrice": 465000,
  "rent": 2100,
  "totalCost": 3383,
  "condoPlusIptu": 1202,
  "area": 34,
  "bedrooms": 1,
  "bathrooms": 1,
  "suites": 1,
  "parkingSpaces": 1,
  "propertyType": "Apartamento",
  "street": "Rua Arruda Alvim",
  "neighborhood": "Pinheiros",
  "region": "Pinheiros",
  "city": "São Paulo",
  "isFurnished": false,
  "forSale": true,
  "forRent": true,
  "isPrimaryMarket": false,
  "rentalYield": 0.0041,
  "visitStatus": "ACCEPT_ALWAYS",
  "amenities": ["VISTA_LIVRE", "COZINHA_AMERICANA", "BOX", "VARANDA", "RUA_SILENCIOSA"],
  "installations": ["SALAO_DE_FESTAS", "AREA_VERDE", "PISCINA", "PERTO_DE_METRO_OU_TREM"],
  "description": "Aluguel de apartamento em Pinheiros com varanda, 1 suíte e pets permitidos.",
  "imageUrls": [
    "https://www.quintoandar.com.br/img/med/894529324-136.50359762623333EEML4645.jpg",
    "https://www.quintoandar.com.br/img/med/894529324-678.8602390051784EEML4646.jpg"
  ],
  "listingOrigin": "TRANSACTIONAL",
  "searchLocation": "Pinheiros, São Paulo",
  "resolvedLocation": "Pinheiros, São Paulo - SP",
  "scrapedAt": "2026-10-27T12:00:00.000Z"
}

Field	Meaning
salePrice / rent / totalCost	Sale price, monthly rent, and total monthly cost (rent + condo + IPTU + fees). null when the listing is not offered that way
condoPlusIptu	Monthly condo fee plus property tax (IPTU), when informed
rentalYield	QuintoAndar's own estimated monthly rental yield on sale listings (0.0041 = 0.41% per month)
area / bedrooms / bathrooms / suites / parkingSpaces	Size and layout
propertyType	Property type as QuintoAndar labels it (Apartamento, Casa, Studio...)
street / neighborhood / region / city	Location; use neighborhood to filter precisely
isFurnished / forSale / forRent / isPrimaryMarket	Flags; many listings are available both ways
amenities / installations	Unit features and building facilities
description	Short listing text (sale text on sale searches, rent text on rent searches)
imageUrls	Up to 20 photo links
searchLocation / resolvedLocation	What you typed and what QuintoAndar understood
error	Set only on failed locations: those rows are not charged

Use cases

• Rental-yield analysis for investors: pull the same neighborhood for sale and for rent, then compare salePrice against rent and totalCost per square meter to find the best-yielding areas. rentalYield gives QuintoAndar's own estimate for each sale listing.
• Rent vs. buy comparison: put the monthly totalCost of rentals next to the salePrice of similar units (same neighborhood, bedrooms and area).
• Price monitoring: schedule weekly runs and track asking prices and rents per neighborhood.
• Deal sourcing: filter by price, size and bedrooms and export a ready shortlist.
• Market reports and relocation research: build rent and sale price indexes per city or neighborhood, with furnished flag, amenities and building facilities.

How to use it

1. Type cities or neighborhoods into Locations the way you would on QuintoAndar ("Pinheiros, São Paulo", "Campinas, SP") — up to 20 per run.
2. Choose For sale or For rent, and optionally pick property types (apartment, house, studio).
3. Add filters: price, minimum bedrooms, area range, minimum parking spaces. On rent searches the price filter applies to the total monthly cost.
4. Set Max items per location (default 100, up to 1,000) and run. Export from the Listings dataset view as JSON, CSV or Excel.

Input	Type	Default	Notes
locations	array of strings	— (required)	City or neighborhood as plain text; up to 20 per run
business	sale / rent	sale
propertyTypes	array	empty = all	apartment, house, studio; each type is a separate search
minPrice / maxPrice	integer (R$)	—	Sale price, or total monthly cost (rent + condo + IPTU) on rent searches
minBedrooms	integer	—	At least this many bedrooms
minArea / maxArea	integer (m²)	—	Area range
minParkingSpaces	integer	—	At least this many parking spaces
maxItemsPerLocation	integer	100	1 to 1,000, split across the selected property types

Ready-to-copy inputs

2+ bedroom apartments for rent with total monthly cost up to R$ 6,000:

{
  "locations": ["Pinheiros, São Paulo"],
  "business": "rent",
  "propertyTypes": ["apartment"],
  "minBedrooms": 2,
  "maxPrice": 6000,
  "maxItemsPerLocation": 200
}

Sale listings for a yield study in two cities:

{
  "locations": ["Pinheiros, São Paulo", "Campinas, SP"],
  "business": "sale",
  "maxItemsPerLocation": 500
}

Studios for rent, up to 40 m²:

{
  "locations": ["Pinheiros, São Paulo"],
  "business": "rent",
  "propertyTypes": ["studio"],
  "maxArea": 40,
  "maxItemsPerLocation": 100
}

Pricing

Pay per event: a small start fee per run, then a flat fee per listing delivered. Failed locations and error rows are never charged, and every run respects the maxTotalChargeUsd budget you set on Apify. Proxies are included.

• $0.005 per run
• $1.50 per 1,000 listings

Scenario	Approximate cost
100 listings (1 location)	~US$ 0.16
1,000 listings (1 location, the maximum)	~US$ 1.51
5,000 listings (5 locations)	~US$ 7.51

Run it from code

Replace <YOUR_APIFY_TOKEN> with your token from Apify Console → Settings → API & Integrations.

cURL (waits for the run and returns the items):

curl -X POST "https://api.apify.com/v2/acts/gangary~quintoandar-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer <YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"locations": ["Pinheiros, São Paulo"], "business": "rent", "minBedrooms": 2, "maxItemsPerLocation": 100}'

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("gangary~quintoandar-scraper").call(
    run_input={"locations": ["Pinheiros, São Paulo"], "business": "sale", "maxItemsPerLocation": 100}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("salePrice"), item.get("rentalYield"), item.get("area"), item.get("neighborhood"))

Node.js (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('gangary~quintoandar-scraper').call({
    locations: ['Pinheiros, São Paulo'],
    business: 'rent',
    maxItemsPerLocation: 100,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, items[0]);

The synchronous endpoint waits up to 300 seconds; for big runs (many locations × 1,000 listings) start the run asynchronously and read the dataset when it finishes.

Integrations

Everything below is built into Apify, no extra setup on our side:

• Schedules: run the same neighborhoods every week to follow rents and asking prices.
• Webhooks: get a call to your own endpoint when a run finishes.
• Make, n8n and Zapier: send each run's listings to Google Sheets, a database or your reporting tool.
• Google Drive: drop each run's export into a shared folder.
• Exports: JSON, CSV, Excel, XML or HTML from the dataset, or straight from the API.

Use with AI agents (MCP)

Apify runs a hosted MCP server, so Claude, Cursor, VS Code and other MCP clients can call this actor as a tool. Add this server URL to your client (it signs in with OAuth on first use, or send Authorization: Bearer <YOUR_APIFY_TOKEN>):

https://mcp.apify.com?tools=gangary/quintoandar-scraper

Then ask in plain words, e.g. "Get sale listings in Pinheiros, São Paulo on QuintoAndar and show the 10 with the highest rental yield." Setup details for each client: Apify MCP server docs.

FAQ

Do I need to paste a QuintoAndar search URL? No. Type the city or neighborhood as plain text; the actor resolves it and shows what QuintoAndar understood in resolvedLocation.

How many listings can I get per search? Up to 1,000 listings per location + property type search. That is the most QuintoAndar returns for a single search. For more volume, search several neighborhoods or narrower price ranges (each one is a separate search). When you select several property types, the item limit is shared between them.

Why do neighborhood searches include other neighborhoods? QuintoAndar's search can include adjacent neighborhoods when a place has few listings. Every record carries its real neighborhood and region, so filter on those fields if you need an exact match.

Is the rent price the total I would pay? Use totalCost for that: it is rent plus condo, IPTU and fees. rent alone is the base rent.

Where does rentalYield come from? It is QuintoAndar's own estimate for sale listings, delivered as published. It is empty when QuintoAndar does not show one.

What happens if a location is not found? You get one row with error: "location-not-found" and the text you searched. It is not charged.

Are duplicates removed? Yes. A listing that shows up in more than one search of the same run is delivered once.

Is scraping QuintoAndar legal? What about LGPD? The actor reads publicly listed search results: no login, no paywall bypass, and no personal contact data (no owner or agent names or phones). Review your use of the data against Brazil's LGPD before storing it.

Is proxy included? Yes. The actor starts on datacenter proxies and switches to Brazilian residential proxies automatically if it is blocked. Nothing to configure.

How do I cap what a run can cost? Set Max total charge on Apify before running. The actor stops as soon as that budget is reached.

Changelog

• 2026-10-27: first public release.

From the same maker

• Zap Imóveis Scraper — sale and rent listings from Zap Imóveis, with condo fee, IPTU and agency data.
• VivaReal Scraper — sale and rent listings from VivaReal, with condo fee, IPTU and agency data.
• OLX Brazil Scraper — OLX classifieds by keyword, state or URL, including real estate.

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