StreetEasy Listings Scraper

Browsing StreetEasy by hand is fine for finding one apartment. It falls apart the moment you need a few hundred listings in a spreadsheet. The site paginates, hides numbers behind cards, and gives you nothing to export. This scraper does the clicking for you: hand it a StreetEasy search URL or a neighborhood slug, and it walks the results page by page and hands back every rental and sale listing as a clean row, with address, price, bedrooms, square footage, status, and coordinates all in their own columns.

What you get

Each listing comes back as one row with the same shape every time, so columns line up when you load the data into a sheet or database. The fields cover four things:

• Where it is — streetAddress, unitLabel, neighborhoodName, postalCode, stateCode, and coordinates for mapping
• What it costs — listPrice, effectiveRent, priceChangeDelta, freeMonths, and leaseMonths
• What it is — bedrooms, fullBaths, halfBaths, squareFeet, propertyClass, isFurnished, newConstruction, and availableDate
• The listing itself — listingRef, listingStatus, listingSource, listedBy, photoList, has3dTour, hasVideo, nextOpenHouse, and the listingPath back to StreetEasy

Quick start

1. Click Try for free to open the input form.
2. Either paste a StreetEasy search link into Search page URL, or set an Area slug like brooklyn and tune the filters (price, bedrooms, property kind).
3. Set a Results cap to control how many listings you pull, and pick a proxy.
4. Hit Start, then download the rows as JSON, CSV, Excel, or XML once the run wraps up.

Use cases

• Rental market tracking — watch asking rents and net effective rents shift across a neighborhood week over week
• Buy-side research — pull every sale listing in a borough and sort by price per square foot
• Lead lists for brokers — find by-owner rentals or new developments the moment they post
• Investment screening — combine listPrice, squareFeet, and coordinates to rank deals across NYC
• Relocation planning — gather furnished units with a given move-in date in one pass
• Data enrichment — attach addresses and coordinates to listings you already track elsewhere

Input

Field	Type	Required	Description
searchPageUrl	string	One of searchPageUrl or areaSlug	A ready-made StreetEasy search link. When set, every filter below is ignored. Example https://streeteasy.com/for-rent/brooklyn/price:1500-3500|beds:1-2.
dealType	string	No	Collect rentals or homes for sale: for-rent or for-sale. Default for-rent.
areaSlug	string	One of searchPageUrl or areaSlug	Neighborhood or borough slug to search, such as brooklyn or soho. Default nyc.
postalCode	string	No	Limit results to one NYC ZIP, e.g. 11211.
priceFloor	integer	No	Smallest price in USD to include.
priceCeiling	integer	No	Largest price in USD to include.
bedroomsMin	string	No	Lowest bedroom count to match; 0 means studio.
bedroomsMax	string	No	Highest bedroom count to match; leave on Any for no upper limit.
bathroomsMin	string	No	Lowest bathroom count to match.
propertyKinds	array of strings	No	Building codes to keep: R rental, X house, D1 condo, M multifamily, P1 co-op.
petFriendlyOnly	boolean	No	Keep only pet-friendly listings. Default false.
listingState	string	No	Market state filter: active, rented, listed, closed, or pending. Default active.
ownerListedOnly	boolean	No	Keep only by-owner rentals with no broker fee. Affects for-rent only. Default false.
orderBy	string	No	Sort order for results. Default se_score (Recommended).
resultsLimit	integer	No	How many listings to gather before stopping. Default 50; ceiling is 1,400.
proxyConfiguration	object	No	Proxies for requests. Apify proxy is on by default; switch to Residential if requests get blocked.

Example input

{
    "searchPageUrl": "https://streeteasy.com/for-rent/brooklyn/price:1500-3500|beds:1-2?sort_by=listed_desc",
    "dealType": "for-rent",
    "areaSlug": "brooklyn",
    "postalCode": "11211",
    "priceFloor": 1500,
    "priceCeiling": 4500,
    "bedroomsMin": "1",
    "bedroomsMax": "2",
    "propertyKinds": ["D1", "P1"],
    "petFriendlyOnly": true,
    "listingState": "active",
    "orderBy": "listed_desc",
    "resultsLimit": 50,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
}

Output

Each listing becomes one row. Values that StreetEasy does not publish for a given listing come back as null, so the dataset stays rectangular and predictable.

Example output

{
    "listingRef": "4239871",
    "neighborhoodName": "Williamsburg",
    "availableDate": "2026-08-01",
    "bedrooms": 2,
    "propertyClass": "RENTAL",
    "fullBaths": 1,
    "isFurnished": false,
    "coordinates": { "latitude": 40.7128, "longitude": -73.9571 },
    "halfBaths": 0,
    "has3dTour": true,
    "hasVideo": false,
    "priceChangeDelta": null,
    "newConstruction": false,
    "leaseMonths": 12,
    "squareFeet": 780,
    "freeMonths": 1,
    "effectiveRent": 3208.33,
    "offMarketDate": null,
    "photoList": [
        { "url": "https://photos.zillowstatic.com/fp/example1.jpg", "key": "example1", "description": "Living room" }
    ],
    "listPrice": 3500,
    "relloExpressFlag": null,
    "listingSlug": "2-bedroom-apartments-williamsburg",
    "listedBy": "Prime Brooklyn Realty",
    "listingSource": "PARTNER",
    "stateCode": "NY",
    "listingStatus": "ACTIVE",
    "streetAddress": "215 North 8th Street",
    "nextOpenHouse": null,
    "unitLabel": "#4B",
    "listingPath": "/building/215-north-8th-street-brooklyn/4b",
    "postalCode": "11211",
    "listingTier": null,
    "unitId": "#4B"
}

Output fields

Field	Type	Description
listingRef	string	StreetEasy's own listing identifier
neighborhoodName	string	Neighborhood or area name
availableDate	string	Move-in date as YYYY-MM-DD
bedrooms	integer	Bedroom count, where 0 is a studio
propertyClass	string	Building category such as RENTAL, CONDO, or COOP
fullBaths	integer	Number of full bathrooms
isFurnished	boolean	True when the unit comes furnished
coordinates	object	Map location with latitude and longitude
halfBaths	integer	Number of half bathrooms
has3dTour	boolean	True when a 3D walkthrough is attached
hasVideo	boolean	True when the listing has video
priceChangeDelta	number	Flagged price movement, or null
newConstruction	boolean	True for a new development
leaseMonths	integer	Lease length in months, or null
squareFeet	integer	Indoor living area in square feet
freeMonths	integer	Free rent months offered, or null
effectiveRent	number	Monthly rent after concessions are spread out
offMarketDate	string	Date the listing left the market, or null
photoList	array	Photo objects, each with url, key, and description
listPrice	integer	Sale price or monthly rent in USD
relloExpressFlag	string	Rello Express marker, or null
listingSlug	string	URL-friendly slug, or null
listedBy	string	Listing broker or management company
listingSource	string	Origin of the listing, e.g. PARTNER or OWNER
stateCode	string	Two-letter state code, e.g. NY
listingStatus	string	Current status, e.g. ACTIVE, RENTED, PENDING
streetAddress	string	Street address of the property
nextOpenHouse	object	Upcoming open house details, or null
unitLabel	string	Unit number as shown, e.g. #4B
listingPath	string	Relative path to the listing on StreetEasy
postalCode	string	Five-digit ZIP code
listingTier	string	Tier classification, or null
unitId	string	Internal unit identifier, e.g. #4B

Rows that record a fetch failure carry isError, errorMessage, and pageNumber instead of listing fields.

Tips for best results

• Test with a small cap first. Set resultsLimit to 20–30 and confirm the columns match your pipeline before pulling the full set.
• A search URL beats filters for exact matches. If you already have the search dialed in on StreetEasy, paste the link into searchPageUrl and skip the filter fields.
• Switch to Residential proxies if results thin out. StreetEasy can rate-limit datacenter IPs; residential clears most blocks.
• Remember bedrooms 0 means studio. Set bedroomsMin and bedroomsMax to 0 to pull studios only.
• ownerListedOnly works on rentals. Combine it with dealType set to for-rent to surface no-fee listings.
• Lease incentives live in their own fields. Compare listPrice against effectiveRent and freeMonths to see the real cost of a rental.

How can I use StreetEasy listing data?

How can I use the StreetEasy Listings Scraper to track NYC rent prices? Set an areaSlug like brooklyn, choose for-rent, and run the scraper on a schedule. Each run returns listPrice, effectiveRent, and freeMonths for every active listing, so you can chart asking rents by neighborhood over time and catch the moment concessions start creeping in.

How can I export StreetEasy sale listings to a spreadsheet? Switch dealType to for-sale, set your priceFloor and priceCeiling, and start the run. Every listing comes back as a row with listPrice, squareFeet, bedrooms, and streetAddress, ready to download as CSV or Excel and sort by price per square foot.

How can I scrape StreetEasy listings for a single ZIP code? Fill in postalCode (for example 11211) along with the area, and the scraper limits results to that ZIP. Pair it with propertyKinds to keep only condos or co-ops, then map the rows using the coordinates field.

How can I find no-fee or by-owner rentals on StreetEasy? Turn on ownerListedOnly with dealType set to for-rent. The scraper returns only rentals posted directly by owners with no broker fee, each row carrying the address, price, bedroom count, and a link back to the listing.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.