StreetEasy Scraper - NYC Rentals & Sales

Pull New York City rental and sale listings from StreetEasy at scale — 75 fields per listing, GPS coordinates, full price history, building records, and named agent contacts, across all five boroughs and down to individual neighborhoods. Built for brokerages, proptech teams, and housing-market analysts who need current New York inventory in a spreadsheet or a database without building and maintaining a scraper of their own.

Why This Scraper?

• Rentals and sales in one run — one listingType setting collects both from the same location, and every row is stamped rental or sale. Sale rows add maintenance, monthly taxes, estimated monthly payment, max financing and land-lease status; rental rows add no-fee status, availability date, free months, lease term and itemised rental fees.
• 75 fields per listing in six groups — 25 core, 14 price and value, 13 location, 10 dates and identifiers, 7 contact, 6 media. No second record type to join: everything lands on one flat row.
• All five boroughs, plus neighborhood-level searches — Manhattan, Brooklyn, Queens, the Bronx and Staten Island, or a named neighborhood like Astoria, Williamsburg, Park Slope or the Upper East Side, each resolved against StreetEasy's own area list rather than guessed from a keyword.
• GPS coordinates on 554 of the 555 rows checked across five boroughs, at full published precision (40.62323583, -74.00115634) — ready for mapping, distance joins and territory analysis without geocoding a single address.
• Named agent contacts — agent name, email, direct phone, alternate phone, brokerage and profile link. Across a 600-listing sample spanning three boroughs and both categories, name and email came back on 100% of listings and a phone number on at least 92%.
• Complete price history, not just today's ask — every listing, delisting, re-pricing and recorded sale with its date and amount, on 100% of enriched rows. The sale example below carries 12 of them, reaching back to a $125,000 purchase in 1996 (four shown).
• Building records attached to every unit — year built, pre-war flag, floor count, unit count, new-development flag, building name and building page link, plus every named amenity and outdoor space. The Battery Park condo below resolves to a 27-floor, 238-unit 1985 building without a second lookup.
• Nearby subway stations and zoned schools with walking distance in miles, line names and route letters — subways on 83–86% and schools on 92–94% of enriched rows, measured on live runs in Queens and the Bronx.
• A withheld number never arrives as 0 — StreetEasy publishes a literal zero for undisclosed square footage (47% of a 600-listing sample), maintenance, monthly taxes, max financing and price change. Those become null here, so a 0 sq ft apartment never drags down your averages.

Use Cases

Market Research & Analytics

• Track asking rents and sale prices by neighborhood, bedroom count and property type over time
• Measure days on market and price-cut frequency from daysOnMarket and priceHistory
• Compare pre-war and new-development inventory using the building flags on every row
• Build no-fee rental indices from isNoFee, freeMonths and rentalFees

Brokerage & Agent Operations

• Monitor competing listings in your farm area and catch every re-pricing
• Pull comps for a CMA — each enriched row already carries five StreetEasy comparables
• Audit your own firm's live inventory for missing photos, floor plans or descriptions
• Collect open-house schedules across a whole neighborhood in one export

Lead Generation

• Build agent and brokerage lists with email addresses and direct phone numbers
• Segment agents by borough, price band or property type before outreach
• Reach management companies and new-development sponsors through the building record

Investment & Underwriting

• Screen sales by pricePerSqft, maintenance, taxes and estimatedMonthlyPayment
• Flag land-lease buildings with isLandLease before they reach diligence
• Filter on maxFinancing to find co-ops that permit the leverage your model assumes

Product & Data Integration

• Power a rental search product with fresh NYC inventory, photos and floor plans
• Feed a valuation or rent-estimate model with coordinates, size, amenities and history
• Sync new listings into Google Sheets, a warehouse or an internal API on a schedule

Getting Started

Simplest run — one borough

{
  "searchUrls": ["Brooklyn"],
  "maxItems": 100
}

Several neighborhoods, with full details

Type the neighborhood the way StreetEasy names it, or paste the address of a public StreetEasy search page — the location is read out of it either way.

{
  "searchUrls": ["Williamsburg", "Astoria", "https://streeteasy.com/for-rent/park-slope-brooklyn"],
  "listingType": "both",
  "enrichDetails": true,
  "maxItems": 1000
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
searchUrls	array	[]	Neighborhoods or boroughs to search. Type a borough name, a neighborhood name, or paste a public streeteasy.com search address. Empty means Brooklyn. Add as many as you like — results are de-duplicated across them.
listingType	string	both	both, rentals or sales. Each location is searched once per category you pick.

Result Limits & Detail

Parameter	Type	Default	Description
maxItems	integer	100	Maximum listings per location searched (0 = everything the search returns). StreetEasy pages through at most 4,270 listings for any one location and category.
enrichDetails	boolean	false	Adds 37 fields to every listing: building record, price history, amenities, nearby subways and schools, every photo and floor plan, video and 3D tour links, open houses, comparable listings, and every listing contact. Billed at the higher rate.

Advanced

Parameter	Type	Default	Description
concurrency	integer	8	How many requests to run at once. Lower it if results start failing.
proxyConfiguration	object	Apify Proxy	Proxy settings for the run.

Output

Every listing is one dataset row. Rows carry 38 fields by default; enrichDetails widens the same row to all 75. Rentals and sales share one schema — listingType tells them apart. Both examples are real listings: the agent's name and contact details are replaced with placeholders, and long text and arrays are shortened here for readability.

Rental row

{
  "id": "5112748",
  "listingType": "rental",
  "url": "https://streeteasy.com/building/the-frederick/615",
  "title": "564 Saint John's Place #615",
  "propertyType": "Rental Unit",
  "status": "Active",
  "bedrooms": 1,
  "bathrooms": 1,
  "sizeSqft": 652,
  "daysOnMarket": 5,
  "address": "564 Saint John's Place",
  "unit": "#615",
  "zipCode": "11238",
  "latitude": 40.6725,
  "longitude": -73.9591,
  "neighborhood": "Crown Heights",
  "borough": "Brooklyn",
  "price": 4696,
  "isNoFee": false,
  "freeMonths": 1,
  "leaseTerm": 12,
  "petPolicy": "Cats and dogs allowed",
  "amenities": ["Balcony", "Central Air", "Dishwasher", "Doorman", "Elevator", "Gym", "Hardwood Floors", "Roof Deck", "Washer / Dryer in Unit"],
  "buildingName": "The Frederick",
  "buildingYearBuilt": 2022,
  "buildingFloorCount": 8,
  "buildingUnitCount": 193,
  "buildingUrl": "https://streeteasy.com/building/the-frederick",
  "nearbySubways": [{"station_name": "Botanic Garden", "line": "Franklin Shuttle", "routes": ["S", "2", "3", "4", "5"], "distance": 0.13}],
  "nearbySchools": [{"name": "P.S. 316 Elijah Stroud", "district": "17", "grades": ["PK", "0K", "01", "02", "03", "04", "05", "SE"]}],
  "brokerageName": "Premier One Realty LLC",
  "agentName": "Agent Name",
  "agentEmail": "agent@example.com",
  "agentPhone": "(555) 010-0000",
  "heroPhotoUrl": "https://photos.zillowstatic.com/fp/e907da35de71638f355719606b2aac62-se_large_800_400.webp",
  "photos": ["https://photos.zillowstatic.com/fp/e907da35de71638f355719606b2aac62-full.jpg", "https://photos.zillowstatic.com/fp/3158dcca5c8455f00d160e9e10a016f2-full.jpg"],
  "floorplans": ["https://photos.zillowstatic.com/fp/bce62791bff76be7b8b91d682c81e83d-full.jpg"],
  "priceHistory": [
    {"date": "2026-07-23", "price": 4696, "description": "Listed by Premier One Realty LLC"},
    {"date": "2020-03-20", "price": 3675, "description": "Delisted by Mishkan Group. Last priced at $3,675."}
  ],
  "comparableListings": [{"id": "5028364", "listed_price": 4450}, {"id": "5059843", "listed_price": 4550}],
  "listedAt": "2026-07-23T18:29:35-04:00",
  "updatedAt": "2026-07-23T18:29:35-04:00"
}

Sale row

A sale row carries every field above — id, address, coordinates, building record, agent, photos, comps — and swaps the tenancy fields for ownership economics. This is a real Battery Park City condo, showing only what a rental row does not have:

{
  "id": "1835854",
  "listingType": "sale",
  "title": "377 Rector Place #1D",
  "propertyType": "Condo",
  "saleType": "Resale",
  "price": 670000,
  "sizeSqft": 654,
  "pricePerSqft": 1024,
  "lastPriceChangeAmount": -20000,
  "lastPriceChangeDate": "2026-07-16T00:00:00-04:00",
  "maintenance": 1048,
  "taxes": 842,
  "estimatedMonthlyPayment": 5288,
  "maxFinancing": 80,
  "isLandLease": true,
  "buildingName": "Liberty House",
  "buildingYearBuilt": 1985,
  "buildingFloorCount": 27,
  "buildingUnitCount": 238,
  "priceHistory": [
    {"date": "2026-07-16", "price": 670000, "description": "Price decreased by 3%"},
    {"date": "2026-06-27", "price": 690000, "description": "Listed by Compass"},
    {"date": "2012-01-12", "price": 475000, "description": "Nest Seekers International Listing sold"},
    {"date": "1996-08-23", "price": 125000, "description": "Previous Sale recorded"}
  ],
  "openHouses": [{"starts_at": "2026-07-29T12:00:00-04:00", "ends_at": "2026-07-29T13:00:00-04:00", "is_by_appointment_only": true}],
  "comparableListings": [{"id": "1788958", "listed_price": 575000}, {"id": "1792304", "listed_price": 680000}]
}

Core Fields

Field	Type	Description
id	string	Listing ID
listingType	string	rental or sale
url	string	Listing URL
title	string	Listing title
propertyType	string	Condo, Co-op, House, Rental Unit, Townhouse, Multi-family
status	string	Active, In contract, Sold, Closed, Delisted, and 7 more
bedrooms	number	Bedrooms (0 = studio)
bedroomsDescription	string	Bedrooms (text)
bathrooms	number	Bathrooms
halfBathrooms	number	Half bathrooms
bathroomsDescription	string	Bathrooms (text)
sizeSqft	number	Interior size (sq ft)
daysOnMarket	number	Days on market
description	string	Full listing description
isFurnished	boolean	Furnished
petPolicy	string	Pet policy
amenities	array	Unit and building amenities
buildingAmenities	array	Building amenities
outdoorSpace	array	Balcony, patio, terrace, roof deck
buildingType	string	Building type
buildingYearBuilt	number	Year built
buildingIsPreWar	boolean	Pre-war
buildingFloorCount	number	Floors in building
buildingUnitCount	number	Units in building
buildingIsNewDevelopment	boolean	New development

Price & Value

Field	Type	Description
price	number	Asking price or monthly rent
pricePerSqft	number	Price per sq ft (sales)
isNoFee	boolean	No broker fee (rentals)
saleType	string	Resale, new development, sponsor unit
lastPriceChangeAmount	number	Last price change ($)
lastPriceChangeDate	string	Last price change date
priceHistory	array	Every price event with date and description
maintenance	number	Monthly maintenance / common charges
taxes	number	Monthly taxes
estimatedMonthlyPayment	number	Estimated monthly payment
maxFinancing	number	Max financing (%)
rentalFees	array	Itemised rental fees
freeMonths	number	Free months
leaseTerm	number	Lease term (months)

Location

Field	Type	Description
address	string	Street address
unit	string	Unit number
city	string	City
state	string	State
zipCode	string	ZIP code
latitude	number	Latitude
longitude	number	Longitude
neighborhood	string	Neighborhood
neighborhoodSlug	string	Neighborhood slug
borough	string	Borough
buildingName	string	Building name
nearbySubways	array	Stations with line, routes and distance
nearbySchools	array	Zoned schools with district and grades

Contacts & Media

Field	Type	Description
brokerageName	string	Brokerage
contacts	array	Every listing contact
agentName	string	Agent
agentEmail	string	Agent email
agentPhone	string	Agent phone
agentPhoneAlt	string	Agent phone (alt)
agentProfileUrl	string	Agent profile URL
heroPhotoUrl	string	Main photo
thumbnailUrl	string	Thumbnail
photos	array	Up to 30 photo URLs
floorplans	array	Floor plan URLs
videoUrls	array	Video URLs
tour3dUrl	string	3D tour URL

Dates & Identifiers

Field	Type	Description
listedAt	string	Listed at
availableAt	string	Available from
updatedAt	string	Last updated
areaId	string	StreetEasy area ID
openHouses	array	Open house times
comparableListings	array	Five StreetEasy comps
buildingUrl	string	Building page URL
buildingId	string	Building ID
managementCompanyProfileUrl	string	Management company profile URL
isLandLease	boolean	Land lease

Tips for Best Results

• Plan around the 4,270-per-search ceiling — StreetEasy pages through at most 43 pages of 100 listings for any single location and category, however many match. Brooklyn rentals sit right on that line and Manhattan is well past it. Split a big borough into neighborhoods (Williamsburg, Park Slope, Bed-Stuy, …), list each one separately, and let the run de-duplicate across them.
• Give it a place, not a filtered search — the location is what carries across; price, bedroom and amenity filters set on the website are not read back out of a pasted address. Collect the neighborhood in full and filter the dataset afterwards — every value you would have filtered on is its own field.
• Turn on enrichDetails for anything contact-, photo- or history-related — agent email and direct phone, all 30 photos, floor plans, full price history, amenities, nearby subways and schools, open houses and comparable listings only arrive with it on. It adds 37 fields to the same row rather than creating a second record you have to join.
• both doubles the searches, not the ceiling — each location runs one rental search and one sale search, and maxItems applies to each. Two neighborhoods with listingType: "both" is four searches and up to 2 × 2 × maxItems rows.
• Read a missing sizeSqft as a market fact, not a gap — NYC rental listings mostly do not publish square footage while sale listings usually do, so how often the field is filled tracks the rental/sale mix you asked for. The same is true of unit (a house or townhouse has no unit number) and floorplans (a brokerage habit that varies sharply between boroughs and between rentals and sales).
• A published 0 means "not disclosed", and you get null instead — square footage, maintenance, monthly taxes, max financing and last price change all arrive as a literal zero when the figure was withheld. Nearly half of a 600-listing sample had a zero square footage; averaging the raw numbers would put a 0 sq ft apartment on half your rows.
• Diff on updatedAt to watch a market — schedule a run, compare against yesterday's dataset, and you surface new and re-priced inventory instead of reprocessing a whole borough every time.

Pricing

From $1.00 per 1,000 results (search only) or from $2.50 per 1,000 results (with full details).

Results	Search Only	With Full Details
100	$0.10	$0.25
1,000	$1.00	$2.50
10,000	$10.00	$25.00
100,000	$100.00	$250.00

Those are the rates on Gold and above. Higher-volume plans pay less per result:

Your Apify plan	Search Only	With Full Details
No discount	$1.20	$3.00
Bronze	$1.15	$2.85
Silver	$1.05	$2.65
Gold and above	$1.00	$2.50

Per 1,000 results.

A "result" is any listing row in the output dataset. The full-details rate applies to every row on a run with enrichDetails turned on. When you search several locations at once, a listing matching more than one of them is de-duplicated before it reaches the dataset, so you are never charged twice for the same listing. Platform fees (compute, storage) are additional and depend on your Apify plan.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications when new listings match
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This is an unofficial scraper. It is not affiliated with, endorsed by, or connected to StreetEasy, Zillow Group, or their operators in any way. All trademarks belong to their respective owners.

This actor is intended for legitimate market research, real-estate analytics, and brokerage intelligence. You are responsible for complying with applicable laws and with StreetEasy's Terms of Service.

Listings include agent and brokerage contact details. Treat them as personal data: do not use names, email addresses or phone numbers for spam, harassment, or any unlawful purpose, and follow applicable privacy rules when storing or processing them. Housing listings are also subject to fair-housing rules — do not use this data to discriminate in the sale, rental, or financing of housing.