NYC Real Estate Scraper — StreetEasy & Redfin avatar

NYC Real Estate Scraper — StreetEasy & Redfin

Under maintenance

Pricing

from $7.00 / 1,000 results

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NYC Real Estate Scraper — StreetEasy & Redfin

NYC Real Estate Scraper — StreetEasy & Redfin

Under maintenance

Scrape New York City real estate listings from StreetEasy and Redfin. Get prices, addresses, beds, baths, sqft, property types, and listing URLs. Filter by neighborhood, price range, bedrooms, and property type. Covers 30+ NYC neighborhoods.

Pricing

from $7.00 / 1,000 results

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0.0

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Developer

Aryan Saxena

Aryan Saxena

Maintained by Community

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3 days ago

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NYC Real Estate Scraper — StreetEasy & Redfin Listings

Scrape New York City real estate listings from StreetEasy and Redfin. Get prices, addresses, bedrooms, bathrooms, square footage, property types, and listing URLs. Filter by neighborhood, price range, bedrooms, and property type.

StreetEasy is NYC's dominant real estate platform — this actor gives you structured access to its listings alongside Redfin data, all in one run.

Why use NYC Real Estate Scraper?

  • NYC-specific — built for New York's unique market with 30+ neighborhoods mapped
  • Two major platforms — StreetEasy (NYC's #1) and Redfin combined
  • Smart filtering — filter by neighborhood, price, bedrooms, and property type before scraping
  • No-fee detection — identifies no-fee rentals (critical for NYC renters)
  • Unified output — same clean schema regardless of source platform
  • Schedule it — track price changes and new listings over time

How to scrape NYC real estate data

  1. Click Try for free on this page
  2. Select sale or rent
  3. Optionally enter a neighborhood (e.g. "Manhattan", "Williamsburg", "Upper East Side")
  4. Set price range and bedroom filters if needed
  5. Click Start and wait for results
  6. Download as JSON, CSV, or Excel

Input

FieldTypeDescriptionDefault
Listing Typestringsale or rentsale
NeighborhoodstringNYC neighborhood nameAll NYC
Min PriceintegerMinimum price ($)
Max PriceintegerMaximum price ($)
Min BedroomsintegerMinimum bedrooms
Property Typestringall, apartment, condo, co-op, townhouse, houseall
Max ResultsintegerMaximum listings to scrape100

Supported neighborhoods

Manhattan: Upper East Side, Upper West Side, Midtown, Chelsea, SoHo, Tribeca, East Village, West Village, Harlem, Financial District, Lower East Side, Gramercy, Murray Hill, Hell's Kitchen

Brooklyn: Williamsburg, Park Slope, DUMBO, Bushwick, Bed-Stuy, Greenpoint, Cobble Hill, Brooklyn Heights

Queens: Astoria, Long Island City, Flushing, Jackson Heights

Plus all 5 boroughs as broad searches.

Output

{
"city": "New York City",
"platform": "streeteasy",
"currency": "USD",
"listingType": "rent",
"price": "$3,200",
"address": "245 East 24th Street, Apt 4B",
"neighborhood": "Gramercy",
"bedrooms": "1",
"bathrooms": "1",
"sqft": "650",
"propertyType": "Co-op",
"noFee": true,
"url": "https://streeteasy.com/rental/1234567",
"imageUrl": "https://..."
}

Data fields

FieldDescription
priceListing price in USD
addressStreet address
neighborhoodNYC neighborhood
bedroomsNumber of bedrooms (or "Studio")
bathroomsNumber of bathrooms
sqftSquare footage
propertyTypeCondo, Co-op, Townhouse, House, Apartment
noFeeWhether it's a no-broker-fee rental
platformstreeteasy or redfin
urlDirect link to the listing

How much does it cost?

A typical run scraping 100 listings costs about $0.10–$0.25 in platform usage. Costs vary based on the number of pages loaded.

Tips

  • StreetEasy is best for NYC — it has the most comprehensive NYC inventory
  • Use neighborhood filters to reduce run time and get more relevant results
  • Schedule weekly runs to track price drops and new listings
  • Compare platforms — run with both StreetEasy and Redfin to cross-reference

FAQ

Does this work for areas outside NYC? No. This actor is specifically built for New York City. For other cities, check our London, Dubai, Toronto, and Mumbai real estate actors.

How fresh is the data? Every run fetches live listings. Schedule runs as frequently as you need.

I found a bug or have a feature request. Please open an issue in the Issues tab.