Quintoandar Rental Listings Extractor

Extract rental listings from QuintoAndar at scale and get clean, structured data for every property that matches your search. Enter a location or a search URL, set how many results you want, and the actor paginates through the listings for you and returns the rent, total cost, size, rooms, address, and photos for each one.

It is built for people who work with the Brazilian rental market and would rather have a spreadsheet than a browser full of tabs: real estate agents, property portals, buy-to-let investors, market analysts, and researchers.

Why use it

• Pulls far more than a single page. Set maxItems and the actor keeps paging until it hits your number or the results run out.
• Returns real listing data, not just what fits on a card: bedrooms, bathrooms, parking, suites, furnished status, and the full photo list.
• Works from a plain location like sao-paulo-sp-brasil or from a search URL you copied off the site.
• Exports to JSON, CSV, or Excel and connects to Google Sheets, Make, and Zapier.
• No setup headaches. Type a location, press start, get data.

How it works

QuintoAndar loads its search results in pages. This actor requests those pages one after another, collects each listing, removes duplicates, and stops as soon as it reaches the maxItems you set. That is why a run of 200 returns 200 listings, not the 24 you see before scrolling.

Input

Start a run with a location, a list of search URLs, or both.

Field	Type	Required	Description
location	string	one of the two	A location from a QuintoAndar rental URL, for example sao-paulo-sp-brasil or rio-de-janeiro-rj-brasil.
searchUrls	array of strings	one of the two	Full QuintoAndar rental search URLs. Handy when you copied a search straight from the site.
maxItems	integer	no	How many listings to collect per run. Default 20, maximum 1000.
requestTimeoutSecs	integer	no	Per request timeout in seconds. Default 30.

Example input

{
    "location": "sao-paulo-sp-brasil",
    "searchUrls": [
        "https://www.quintoandar.com.br/alugar/imovel/rio-de-janeiro-rj-brasil"
    ],
    "maxItems": 200,
    "requestTimeoutSecs": 30
}

You can find a location value by opening a rental search on QuintoAndar and copying the part of the address that comes after /imovel/. For https://www.quintoandar.com.br/alugar/imovel/sao-paulo-sp-brasil, the value is sao-paulo-sp-brasil.

Output

Every listing becomes one dataset record. Results export to JSON, CSV, Excel, HTML, or an API endpoint.

{
    "listingId": "894857316",
    "url": "https://www.quintoandar.com.br/imovel/894857316/alugar",
    "propertyType": "Apartamento",
    "listingDescription": "Alugar apartamento na Mooca, 1 quarto.",
    "rentPrice": 1830,
    "totalPrice": 2691,
    "currency": "BRL",
    "area": 50,
    "bedrooms": 1,
    "bathrooms": 1,
    "parkingSpaces": 1,
    "suites": 0,
    "isFurnished": false,
    "address": "Rua Coronel Bento Pires",
    "neighbourhood": "Mooca",
    "region": "Mooca",
    "city": "Sao Paulo",
    "specialConditions": ["Exclusivity"],
    "isExclusive": true,
    "visitStatus": "ACCEPT_NEW",
    "imageCount": 12,
    "mainImage": "https://www.quintoandar.com.br/img/crop/landscape/540x360/894857316-129.jpg",
    "images": [
        "https://www.quintoandar.com.br/img/crop/landscape/540x360/894857316-129.jpg"
    ],
    "sourceLocation": "sao-paulo-sp-brasil",
    "scrapedAt": "2026-09-07T12:00:00+00:00"
}

Output fields

Field	Type	Description
listingId	string	QuintoAndar listing identifier
url	string	Detail page URL
propertyType	string	Apartamento, Casa, StudioOuKitchenette, and similar
listingDescription	string	Short summary of the listing
rentPrice	integer	Monthly rent in reais
totalPrice	integer	Total monthly cost in reais, including fees when available
currency	string	Currency code, always BRL
area	integer	Floor area in square metres
bedrooms	integer	Number of bedrooms
bathrooms	integer	Number of bathrooms
parkingSpaces	integer	Number of parking spaces
suites	integer	Number of en suite bedrooms
isFurnished	boolean	True when the property is furnished
address	string	Street name
neighbourhood	string	Neighbourhood
region	string	Region or district name
city	string	City
specialConditions	array	Labels such as Exclusivity or Negotiated
isExclusive	boolean	True when the listing is exclusive to QuintoAndar
visitStatus	string	Whether the property is accepting visits
imageCount	integer	Number of photos
mainImage	string	First photo URL
images	array	All photo URLs
sourceLocation	string	The location the listing came from
scrapedAt	string	Extraction timestamp in UTC

Step by step

1. Open the actor and enter a location like sao-paulo-sp-brasil, or paste one or more search URLs.
2. Set maxItems to the number of listings you want.
3. Press Start and watch the dataset fill as the actor works through the pages.
4. Export to JSON, CSV, or Excel, or push the data to Google Sheets, Make, or Zapier.

What you can build with it

• Rent trend tracking for a neighbourhood or an entire city
• Price and yield analysis for buy-to-let decisions
• A stocked listings feed for a property portal or comparison site
• Lead lists for agents chasing new inventory
• A dataset for research on the Brazilian housing market

Tips

• One location covers a whole city. To focus on a district, paste a filtered search URL from the site into searchUrls.
• Combine several locations in one run by adding more entries to searchUrls.
• Raise maxItems gradually. Larger runs take longer because the actor visits more pages.

Notes and fair use

This actor reads publicly visible rental listings. Use the data responsibly, respect QuintoAndar's terms of use, and follow the privacy and data rules that apply where you operate.

Frequently asked questions

Why did an earlier run return only 24 listings? QuintoAndar shows about two dozen results before you scroll. This actor pages past that limit automatically, so the number you get back matches your maxItems.

Can I filter by price or number of bedrooms? Apply the filters on QuintoAndar first, then paste the resulting search URL into searchUrls. The actor follows the location in that URL.

Which cities are supported? Any city QuintoAndar covers. Use the location value from that city's rental search URL.

In what formats can I export the data? JSON, CSV, Excel, and HTML, or straight from the dataset API into your own tools.