StreetEasy NYC Real Estate Scraper

Scrape New York City apartment listings from StreetEasy (streeteasy.com) — both rentals and sales. This StreetEasy scraper extracts the address, unit, neighborhood, price, bedrooms, bathrooms, square footage, amenities, availability date, concessions and photos for every listing in a search, and exports them to JSON, CSV or Excel — or straight into your code through the Apify API. Paste any StreetEasy search URL, press Start.

Target website: streeteasy.com

✨ Features of this StreetEasy real estate scraper

• Rental and sales listings — works with /for-rent and /for-sale searches alike
• Full listing data — address, unit, neighborhood, ZIP, price, beds, baths, square footage, building type
• Rental concessions — net effective price and months free, where the listing offers them
• Amenities and features — collected from each unit page
• Keeps your search filters — paste a filtered StreetEasy search URL and every filter is preserved
• Pagination support — walks through result pages until your item limit is reached
• Fast mode — skip unit pages to scrape roughly twice as fast from search results alone
• Monitor mode — set a project name and later runs skip listings you already scraped, returning only new ones — ideal for monitoring and saving money
• Proxy support — configurable, with US residential recommended for larger runs
• No browser required — runs on plain HTTP requests, which makes it fast and cheap

🚀 How to scrape StreetEasy listings in 5 steps

1. Sign up for a free Apify account — includes $5 monthly credit.
2. Open the actor page and click Try for free.
3. Paste a StreetEasy search URL into Start URLs.
4. Click Start and wait for the run to complete.
5. Download results from the Output tab in JSON, CSV, or Excel format.

You can also run this actor via the Apify API or integrate it directly into your workflows using Zapier, Make, or n8n.

💰 Pricing

This actor uses pay-per-result billing based on the compute units a run consumes.

• New Apify accounts include $5 of free monthly credit.
• It runs on plain HTTP requests rather than a headless browser, so it costs significantly less to run than browser-based real estate scrapers.
• Turning off Visit each listing page roughly halves the requests per listing when you only need the headline fields.

🔧 Input configuration

Field	Type	Required	Default	Description
startUrls	array	—	https://streeteasy.com/for-rent/nyc	StreetEasy search URLs or unit URLs. Page type is detected automatically.
maxItems	integer	—	5	Maximum listings to scrape per start URL. Set to 0 for no limit.
scrapeDetails	boolean	—	true	Visit each unit page for description, amenities and features.
cacheProjectName	string	—	—	Project name. When set, the actor runs in monitor mode: listings scraped in earlier runs under this name are skipped.
proxyConfiguration	object	—	Apify Proxy, RESIDENTIAL, US	Required. StreetEasy refuses most IPs; US residential proxies are what make a run succeed.

1. Start URLs — the StreetEasy search URLs (or single unit URLs) to scrape, e.g. https://streeteasy.com/for-rent/nyc. Add as many as you like; filters in the URL are kept.
2. Max listings per search (maxItems) — the most listings to collect for each start URL. The default of 5 is a quick test; raise it for real runs, or set 0 for no limit.
3. Visit each listing page (scrapeDetails) — when ticked, the actor opens every unit page to add the description, amenities and features. Untick it for a faster, cheaper run with search-result fields only.
4. Cache project name (cacheProjectName) — leave empty for a normal run. Enter a name to turn on monitor mode (below).

The Proxy configuration section below the form is already set to US-friendly residential proxies; leave it on, as StreetEasy refuses most other IPs.

Monitor mode: give cacheProjectName a name (for example nyc-2br-rentals) and the actor remembers every listing it has scraped under that name. On the next run, previously scraped listings are skipped and only new ones are returned and charged. This makes it ideal for monitoring a search on a schedule and saves money, since you only pay for new results. Leave it empty for a normal full run, and use a different name for each search you want to track separately.

Supported URL types:

• Rental search — https://streeteasy.com/for-rent/nyc
• Sale search — https://streeteasy.com/for-sale/nyc
• Filtered search — https://streeteasy.com/for-rent/nyc/price:-4000%7Cbeds:2
• Single unit — https://streeteasy.com/building/51-hamilton-terrace-new_york/1

📦 StreetEasy scraper output data

Each result is a JSON object with the keys url, listingId, listingType, address, unit, neighborhood, zipCode, state, price, totalMonthlyPrice, netEffectivePrice, monthsFree, bedrooms, bathrooms, livingAreaSize, buildingType, furnished, status, availableAt, leaseTermMonths, isNewDevelopment, hasVideos, hasTour3d, source and photos. When unit pages are visited, these are added: the full description, roomCount, amenities, features, fullAddress, the listing agent (agentName, agentPhone, agentCompany and an agents list), daysOnMarket, onMarketAt, attributes, aboutBuilding, propertyHistory and neighborhoodInfo (described below). The dataset ships with two views: Overview, a compact table of address, neighborhood, price and room counts; and Full listing details, which adds amenities, agent contact, building facts, price history and neighborhood info.

Sample output:

[
    {
        "url": "https://streeteasy.com/building/180-franklin-avenue-brooklyn/103",
        "listingId": "5025137",
        "listingType": "rental",
        "address": "180 Franklin Avenue",
        "unit": "#103",
        "neighborhood": "Bedford-Stuyvesant",
        "zipCode": "11205",
        "state": "NY",
        "price": 5188,
        "totalMonthlyPrice": null,
        "netEffectivePrice": null,
        "monthsFree": null,
        "bedrooms": 1,
        "bathrooms": 1.5,
        "livingAreaSize": 1075,
        "buildingType": "RENTAL",
        "furnished": false,
        "status": "ACTIVE",
        "availableAt": "2026-08-14",
        "leaseTermMonths": null,
        "isNewDevelopment": false,
        "hasVideos": false,
        "hasTour3d": false,
        "source": "Brown Harris Stevens Development Marketing",
        "photos": [
            "https://photos.zillowstatic.com/fp/f3cba8497bf26291ec44f9f02360b5c7-full.webp",
            "https://photos.zillowstatic.com/fp/9363b7a7965e595d4dd2363bceee23fd-full.webp",
            "https://photos.zillowstatic.com/fp/fe1f0570ae58855067420ae24a40f496-full.webp"
        ],
        "description": "AVAILABLE 8.15     This massive 1 Bedroom + 1.5 Bathroom Duplex with private patio is perfect! Unit 103 features a modern k...\u2026",
        "roomCount": 3,
        "amenities": [
            "BIKE_ROOM",
            "DOORMAN",
            "ELEVATOR",
            "FIOS_AVAILABLE",
            "PARKING",
            "GYM",
            "LAUNDRY",
            "SHARED_OUTDOOR_SPACE",
            "STORAGE_SPACE",
            "WHEELCHAIR_ACCESS"
        ],
        "features": [
            "DISHWASHER",
            "PRIVATE_OUTDOOR_SPACE",
            "WASHER_DRYER"
        ],
        "fullAddress": {
            "state": "NY",
            "street": "180 Franklin Avenue",
            "city": "BROOKLYN",
            "zipCode": "11205",
            "displayUnit": "#103"
        }
    }
]

Extra detail fields (added when unit pages are visited):

• attributes — policies, amenities and features as { "name", "value" } pairs, e.g. { "name": "policies", "value": ["PETS_ALLOWED"] }. Other names appear when present: petPolicy, doormanTypes, parkingTypes, sharedOutdoorSpaceTypes, storageSpaceTypes, fireplaceTypes, privateOutdoorSpaceTypes, views. Empty ones are left out.
• agentName, agentPhone, agentCompany — the first listed agent or company, plus agents, the full list with licenseType.
• aboutBuilding — building name, type, status, year built, floors, residential units, address, coordinates and documents link.
• propertyHistory — the unit's listing history, one row per event (date, event such as ACTIVE, PRICE_CHANGE or DELISTED, price, priceChangePercent, listedBy).
• neighborhoodInfo — the "About" and "Explore" blocks of the page: neighborhood description, medianAskingRent and medianAskingSalePrice for medianBedrooms, and nearby transit, colleges, parks, museums and schools with distances in miles.

{
    "agentName": "The Lotus NYC",
    "agentPhone": "+16467761267",
    "agentCompany": "Rose Associates, Inc.",
    "attributes": [
        { "name": "policies", "value": ["PETS_ALLOWED"] },
        { "name": "doormanTypes", "value": ["FULL_TIME"] }
    ],
    "aboutBuilding": { "name": "The Lotus NYC Midtown East", "buildingType": "Rental building", "yearBuilt": 2026, "floors": 20, "residentialUnits": 157 },
    "propertyHistory": [
        { "date": "2026-10-07", "event": "PRICE_CHANGE", "price": 13039, "priceChangePercent": -4.48, "listedBy": "Rose Associates, Inc." },
        { "date": "2026-09-16", "event": "ACTIVE", "price": 13650, "priceChangePercent": null, "listedBy": "Rose Associates, Inc." }
    ],
    "neighborhoodInfo": {
        "name": "Murray Hill",
        "medianAskingRent": 7447,
        "medianAskingSalePrice": 1295000,
        "medianBedrooms": 2,
        "transit": [{ "name": "Grand Central–42nd St", "routes": ["S", "4", "5", "6", "7"], "distanceMiles": 0.2 }],
        "parks": [{ "name": "St. Vartan Park", "distanceMiles": 0.18 }]
    }
}

Captured from a real run on 2026-09-12. The photos array is trimmed to three entries here; a live listing typically carries 7 to 15.

🐍 How to scrape StreetEasy with Python, JavaScript or the API

Run the actor programmatically with the official Apify clients. Replace <YOUR_API_TOKEN> with the token from your Apify Console.

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run = client.actor("<username>/streeteasy-property-scraper").call(run_input={
    "startUrls": [{"url": "https://streeteasy.com/for-rent/nyc"}],
    "maxItems": 25,
    "proxyConfiguration": {"useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"]},
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["address"], item["price"], item["bedrooms"])

JavaScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });

const run = await client.actor('<username>/streeteasy-property-scraper').call({
    startUrls: [{ url: 'https://streeteasy.com/for-rent/nyc' }],
    maxItems: 25,
    proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ['RESIDENTIAL'] },
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

cURL — start a run and wait for the dataset:

curl -X POST "https://api.apify.com/v2/acts/<username>~streeteasy-property-scraper/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"startUrls": [{"url": "https://streeteasy.com/for-rent/nyc"}], "maxItems": 25}'

💡 What you can use StreetEasy listing data for

• Rental market analysis — track asking rents by neighborhood over time
• Investment research — compare sale prices and price per square foot across areas
• Concession tracking — monitor how often landlords offer months free and how that moves
• Comparable analysis — pull comps for a specific building or block
• Inventory monitoring — watch how long listings stay on the market
• Relocation research — shortlist apartments matching a budget and bedroom count

Real estate agents, investors, appraisers, property managers, market analysts and relocation services use this data across residential real estate, proptech and financial research.

⚠️ Limitations & known issues

• New York City only — StreetEasy covers the five boroughs, so there is no data for other cities.
• Listing URL forms — /building/{slug}/{unit}, /rental/{id} and /sale/{id} unit pages are all accepted as start URLs.
• Contact details — the agent or company name and phone number shown on the listing are collected; agent email addresses are not.
• Missing sections — some listings have no policies, no neighborhood description or no price history, in which case that field is empty or null.

❓ Frequently asked questions

Can I scrape StreetEasy legally?

This actor only collects data that is already publicly visible on StreetEasy — no login, paywall, or private content is accessed. Scraping publicly available data is generally considered lawful (see hiQ Labs v. LinkedIn as precedent). You remain responsible for complying with StreetEasy's Terms of Service and for how you use listing content, which may be copyrighted by the listing broker.

Why did my run return no results?

Almost always the proxy setting. StreetEasy refuses roughly five out of six IP addresses with an HTTP 403, so a run without US residential proxies returns nothing at all. Leave proxyConfiguration on its default. Seeing several 403 lines in the log is normal and expected — the scraper simply retries from a different address until one is accepted.

Does this scrape both rentals and sales?

Yes. Paste a /for-rent or /for-sale search URL and the actor labels every row with listingType so you can tell them apart in a mixed dataset.

How many listings can I scrape from one search?

maxItems limits results per start URL, so three searches with maxItems: 100 returns up to 300 listings. Set it to 0 to follow the search to its end.

Do I need a proxy to scrape streeteasy.com?

For a handful of listings, often not. For anything larger, yes — US residential proxies are strongly recommended, because StreetEasy blocks aggressively by IP.

How do I scrape StreetEasy with Python?

Install apify-client, then call the actor with your search URL and iterate the dataset — see the Python example above. Each listing comes back as flat JSON ready for pandas.

Can I run this StreetEasy scraper on a schedule?

Yes. Use Apify Schedules to run it daily, and set cacheProjectName to enable monitor mode, so each run skips previously scraped listings and returns only new ones — exactly what you want for market monitoring, and it keeps costs down.

Is this the cheapest streeteasy scraper in Apify?

Possibly yes, as this streeteasy scraper has caching feature which might save you money across multiple runs.

What output formats are supported?

JSON, CSV, Excel, XML and RSS, either from the Output tab or through the Apify API.

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💬 Support & contact

If you encounter any issues or have questions, please open an issue.

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