StreetEasy Scraper

Extract for-rent and for-sale listings from StreetEasy — NYC metro prices, beds, baths, addresses, neighborhoods, and optional listing-page details like descriptions, photos, amenities, and agent contacts — to power market research, rent comps, and outreach, from $1.50 per 1,000 listings. You do not pay separate Apify platform usage on top of events.

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What can StreetEasy Scraper do for you?

• Build a searchable NYC database of active rentals or sales from a location query or a StreetEasy URL, without clicking through listing pages.
• Compare neighborhoods in one table — price, beds, baths, property type, and coordinates ready for spreadsheets, maps, and models.
• Enrich cards on demand with listing-page details (description, photo gallery, amenities, agents, price history) when you turn on includeListingDetails.
• Generate outreach lists from listing-page agent and broker names, phones, and emails.
• Monitor inventory and asking prices with scheduled runs and a stable listingId + url for each property.
• Export anywhere — download JSON, CSV, or Excel, or pull results through the Apify API and integrations.

What data can you extract from StreetEasy?

Field	Description
🏠 address, streetAddress, unit, neighborhood, city, state, zipCode	Property location
💰 formattedPrice, price, totalMonthlyPrice	Asking rent or sale price
🛏️ bedrooms, bathrooms, fullBathrooms, halfBathrooms	Layout
🏢 propertyType, listingType, status, saleType	Rental vs sale and listing status
📸 imageUrl, imageUrls, photos, photoCount	Cover photo and gallery (gallery when details are on)
📝 description, amenities, features, buildingName, yearBuilt, livingArea, roomCount	Listing-page details (when enabled)
👤 agentName, agentPhone, agentEmail, brokerName, agents, sourceGroupLabel	Agent, broker, and source group
📈 priceHistory, monthlyMaintenance, monthlyTaxes, monthlyCommonCharges, estimatedMonthlyPayment, daysOnMarket	Costs and history from the listing page
📍 latitude, longitude	Coordinates for mapping
🔗 url, listingId, mlsNumber, sourceQuery, detailsFetched	Source URL, IDs, and whether details were attached

Why use this scraper?

• 🏠 Market research — benchmark asking rents and sale prices across Manhattan, Brooklyn, Queens, the Bronx, Staten Island, and the wider NYC metro.
• 📊 Price & inventory monitoring — schedule daily runs and watch which units appear, move, or leave the market.
• 🤝 Lead generation — collect listing-page agent and broker contacts for prospecting and CRM enrichment.
• 🤖 Automation — feed a CRM, spreadsheet, or custom app through the API; export JSON, CSV, or Excel.
• 🏗️ Investment screening — filter by neighborhood, beds, and price to build rent comps and buy-side shortlists.

Pricing

Pay-per-event pricing. You do not pay separate Apify platform usage costs for this Actor.

Event	When it is billed	No discount	Bronze	Silver	Gold
Property Listing (listing)	Each listing written to the dataset	$1.50 / 1,000	$1.40 / 1,000	$1.30 / 1,000	$1.20 / 1,000
Detailed Listing (listing-details)	Each row with includeListingDetails on and detailsFetched: true	$1.50 / 1,000	$1.40 / 1,000	$1.30 / 1,000	$1.20 / 1,000

• Listing-only runs charge listing only.
• Failed detail fetches still save the search card and do not bill listing-details.
• No hidden fees or limits on usage.

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How to use StreetEasy Scraper

1. Create a free Apify account — sign up at apify.com (no credit card required to start).
2. Open the actor — go to StreetEasy Scraper on Apify Store.
3. Add a location or URL — enter a searchQueries value like "NYC" or "Park Slope", or paste a StreetEasy search/listing startUrls entry such as https://streeteasy.com/for-rent/manhattan.
4. Pick your market — set searchType to FOR_RENT or FOR_SALE (this applies to queries only; URLs already encode the market).
5. (Optional) Enable details — turn on includeListingDetails for descriptions, photos, agents, and amenities. Set detailConcurrency if you want more or fewer parallel listing pages (default 10).
6. Click Start — when the run finishes, download your results as JSON, CSV, or Excel from the Output tab.

Input

Provide at least one StreetEasy URL or location query.

Field	Type	Required	Description
startUrls	array	Optional	StreetEasy search or listing URLs. Search URLs keep the market and area already in the path — e.g. https://streeteasy.com/for-rent/nyc or https://streeteasy.com/for-sale/manhattan. Listing URLs (/building/{slug}/{unit}) scrape that property.
searchQueries	array	Optional	NYC locations used when you do not have a URL — e.g. "NYC", "Manhattan", "Park Slope", or "Williamsburg". Combined with Search type to build a StreetEasy search.
searchType	string	Optional	Market applied to searchQueries only. One of FOR_RENT, FOR_SALE (default FOR_RENT). Start URLs already encode for-rent or for-sale.
maxItems	integer	Optional	Maximum listings to scrape across all URLs and queries (0 = unlimited). Default 0.
includeListingDetails	boolean	Optional	When enabled, open each listing page for description, photos, agents, amenities, and price history. Charges the listing-details event in addition to listing. Default false.
detailConcurrency	integer	Optional	How many listing pages to fetch at the same time when details are enabled (1–30). Default 10. Each request uses a rotated residential proxy session.
proxyConfiguration	object	Optional	Residential proxies are recommended. StreetEasy may show a press-and-hold check on some IPs; the Actor rotates and retries. Default: Apify Residential.

📝 Copy for Use:

{
    "searchQueries": ["NYC"],
    "searchType": "FOR_RENT",
    "maxItems": 10,
    "includeListingDetails": false,
    "detailConcurrency": 10,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Why Choose This Scraper?

• Affordable: Pay only $1.50 per 1,000 listings, plus $1.50 per 1,000 listing details when you enable extras.
• Comprehensive: Search cards include price, beds, baths, neighborhood, and coordinates; optional listing pages add description, photos, amenities, and agent contacts.
• Easy to Use: Paste a StreetEasy URL or type a neighborhood — no code required to start.
• Reliable: Rotates residential proxies, retries blocked requests, and keeps going if a single listing page fails.

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Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.

# Python — using the Apify API client
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("rigelbytes/streeteasy-scraper").call(run_input={
    "searchQueries": ["NYC"],
    "searchType": "FOR_RENT",
    "maxItems": 10,
    "includeListingDetails": False,
    "detailConcurrency": 10,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
})

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

# JavaScript — using the Apify API client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('rigelbytes/streeteasy-scraper').call({
    searchQueries: ['NYC'],
    searchType: 'FOR_RENT',
    maxItems: 10,
    includeListingDetails: false,
    detailConcurrency: 10,
    proxyConfiguration: {
        useApifyProxy: true,
        apifyProxyGroups: ['RESIDENTIAL'],
    },
});

const items = client.dataset(run.defaultDatasetId).listItems();
for await (const item of items) {
    console.log(item.address, item.formattedPrice);
}

# cURL — run the actor via the Apify REST API
curl -X POST "https://api.apify.com/v2/acts/rigelbytes/streeteasy-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
        "searchQueries": ["NYC"],
        "searchType": "FOR_RENT",
        "maxItems": 10,
        "includeListingDetails": false,
        "detailConcurrency": 10
      }'

Scheduling & Deduplication

Scheduling: StreetEasy inventory in NYC moves quickly. A daily run is a good default for active rental searches; weekly is usually enough for slower for-sale watches. Create a schedule in the Apify Console Schedules tab or via the API. Track several areas in one run by adding each as a searchQueries entry (for example "Manhattan", "Park Slope", "Williamsburg"), or create one schedule per borough for cleaner datasets.

Deduplication: maxItems caps how many listings this run writes (0 = unlimited) across all URLs and queries. Every record includes a listingId and a canonical url — key on listingId (fallback url) to merge runs. If you write into an existing dataset by datasetId, Apify also drops identical records. Example:

seen = set()
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    lid = item.get("listingId") or item.get("url")
    if lid in seen:
        continue
    seen.add(lid)
    # process unique listing...

Webhooks: Fire a webhook when the run succeeds to push new StreetEasy listings into your CRM, warehouse, or alert pipeline.

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• HRS Hotel Reviews Scraper — Extract hotel details, room offers, and guest reviews from HRS hotel URLs.
• HRS Hotel Scraper — Scrapes hotel listings, prices, ratings, and amenities from HRS (hrs.com) by location and travel dates.
• IKEA Product Scraper — Scrape IKEA product listings from search queries or start URLs, with optional product details and customer reviews.
• MediaMarkt Germany Product Scraper — Scrape MediaMarkt.de products from search queries or URLs, with optional product details and customer reviews.
• Naukri Job Scraper — Scrape Naukri.com job listings by keyword, location, start URL, or company page, with optional job details, company...
• Nike Scraper — Scrapes Nike.com product listings from search queries or category URLs, with optional product details and reviews.
• Google Play Store App Reviews Scraper — Scrape Google Play Store app reviews by app ID or Play Store URL. Supports multiple apps, sorting, score filters,...
• Refurbed.de Product Scraper — Scrape refurbished product listings from refurbed.de using search queries or start URLs, with optional product...
• Rottentomatoes Reviews Scraper — Collect reviews and ratings from Rotten Tomatoes for reputation monitoring and customer insights.
• SEEK Australia Jobs Scraper — Scrape SEEK Australia job listings by keyword, location, or URL. Optionally enrich each job with full details,...
• Skool Community Scraper — Scrape Skool communities from discovery search and category filters. Extract listing data plus optional about-page...
• Target.com Product Scraper — Scrape Target.com products from search queries or URLs. Optionally enrich with product details and customer reviews.
• The Movie Database (TMDB) Scraper — Scrape movies, TV shows, people, and awards from themoviedb.org with the same list filters as the website — genres,...
• TripAdvisor Reviews Scraper — Scrape reviews from TripAdvisor hotel pages using GraphQL API with DataDome protection bypass.
• Trustpilot Reviews Scraper — Collect reviews and ratings from Trustpilot for reputation monitoring and customer insights.
• Trustpilot Company Scraper — Collect reviews and ratings from Trustpilot for reputation monitoring and customer insights.
• TrustRadius Scraper — Scrape TrustRadius companies, product details, and reviews from search queries, categories, or product URLs.
• Yelp Scraper — Scrape Yelp business listings by search term, category, location, or URL. Optional full business details with phone,...

🍔 Food & Delivery

Extract restaurant, grocery, and delivery platform data.

• Carrefour Product Scraper — Scrape Carrefour grocery products across UAE, Saudi Arabia, Qatar, Pakistan, and Georgia by search query, category,...
• Instacart Scraper — Scrape menus, stores, and delivery data from Instacart for data-driven research and automation.
• Lidl Product Scraper — Scrape Lidl supermarket products across Europe by search query or category/product URL. Optionally enrich each item...
• OpenTable Scraper — Scrape OpenTable restaurants by search query (with date/time/party size) or start URLs. Optional listing details and...
• Publix Scraper — Scrape menus, stores, and delivery data from Publix for data-driven research and automation.

📰 News & Media

Scrape news, articles, and media content for research.

• BizBuySell Scraper — Scrape BizBuySell business-for-sale listings via search URLs or structured filters, with optional full listing details.
• SEC IPO Event Intelligence — Monitors SEC EDGAR for IPO filings and converts them into structured business events, with optional AI company...
• SEC Filings Scraper — Retrieve clean, normalized SEC EDGAR filing data by ticker, CIK, or company name — with document links, optional...

🛠️ Developer Tools

General-purpose scraping and automation tools.

• EU Tenders Scraper — Scrape EU public procurement notices from TED (Tenders Electronic Daily) with advanced search filters,...
• Web Crawler — This web crawler is designed to provide users with complete flexibility by allowing them to use their **own...
• Zapier Apps Scraper — Scrape Zapier’s app directory by category, subcategory, sort (popularity, premium, beta, recently launched), or URL....

🔧 Other

Additional scraping tools by Rigel Bytes.

• Adidas Product Scraper — Scrape Adidas product listings and optional product details from any supported Adidas country storefront. Supports...
• Bilibili Scraper — Scrape Bilibili videos, categories, search results, and creator spaces. Extract titles, stats, tags, and optional...
• Chargefinder Scraper — Scrape EV charging stations from Chargefinder by location search or charger URL. Extract map listings and optional...
• Electromaps Scraper — Scrape EV charging stations from Electromaps by city or country search. Extract map listings and optional...
• Google Ads Transparency Scraper — Scrape ads from the Google Ads Transparency Center by domain, advertiser, or keyword. Filter by region, time period,...
• Leboncoin Listing Scraper — Scrape Leboncoin listings from a search URL or filters. Extracts title, price, location, seller, images, attributes,...
• Marktplaats.nl Scraper — Scrapes Marktplaats.nl classified listings via the LRP search API with optional VIP listing details and seller...
• Open Construction Estimate Scraper — Scrape construction cost estimates from OpenConstructionEstimate. Export the full catalog, filter by...
• Red Note Scraper — Scrape Red Note (Xiaohongshu) posts from home-feed categories or URLs. Optionally attach creator profiles and top...
• Subito.it Scraper — Scrape classified ads from Subito.it by search query or URL, with website-matching filters and optional...

Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

Why Use Proxies?

• Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
• Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
• Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

Types of Proxies

1. Residential Proxies
   • Real IP addresses provided by ISPs to home users.
   • They mimic regular users, making them harder to detect.
   • Best for: Long-term, undetectable scraping, and avoiding blocks.
2. Data Center Proxies
   • IP addresses from servers in data centers.
   • Faster and cheaper than residential proxies but easier to detect and block.
   • Best for: High-speed scraping, but with a higher risk of detection.
3. Mobile Proxies
   • IPs provided by mobile carriers (3G/4G/5G networks).
   • Very difficult to detect, as they appear as regular mobile users.
   • Best for: Mobile-related scraping or avoiding sophisticated blocks.

Rotating Proxies vs. Straight Proxies

• Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
• Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

FAQs & Troubleshooting

Q: What's the difference between startUrls and searchQueries?

startUrls are full StreetEasy URLs you already have — paste a search such as https://streeteasy.com/for-rent/manhattan or a listing such as https://streeteasy.com/building/the-lombardy/1408 and the Actor scrapes that path. searchQueries are plain locations like "NYC", "Brooklyn", or "Lenox Hill"; the Actor builds the search using your searchType. You can use both in the same run.

Q: What does includeListingDetails add, and does it cost extra?

Turning on includeListingDetails opens each listing page for description, photos, amenities, agents, building data, and price history. It bills a separate Detailed Listing (listing-details) event at $1.50 per 1,000 in addition to the Property Listing (listing) event — only when detailsFetched is true. A listings-only run stays at $1.50 per 1,000. You do not pay separate platform usage.

Q: What counts as one result for pricing?

One listing event is charged for every property row pushed to the dataset. If includeListingDetails is on and that row has detailsFetched: true, one listing-details event is charged as well. A failed detail fetch still counts as a listing, not as listing-details.

Q: Why do some NYC searches include New Jersey buildings?

StreetEasy's NYC metro search includes nearby New Jersey inventory (for example Harbor Pointe in Bayonne). That matches what you see on streeteasy.com/for-rent/nyc. Narrow results with a borough or neighborhood query such as "Manhattan" or "Park Slope", or paste a more specific startUrls search.

Q: How do I scrape for-sale listings instead of rentals?

Set searchType to FOR_SALE when using searchQueries, or paste a /for-sale/ URL into startUrls (the path already encodes the market). searchType is ignored for start URLs.

Q: Why am I getting empty results or a press-and-hold check?

StreetEasy sometimes shows a press-and-hold check to IPs it flags. The Actor rotates to a fresh residential session and retries. Keep proxyConfiguration on Apify Residential proxies. Also confirm that at least one startUrls or searchQueries value is set. Check the run-stats key-value record for recordsScraped. Export the dataset from the Output tab as JSON, CSV, or Excel.

About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

Contact Us

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or book an appointment with us to learn more about how we can help you achieve your data goals.

Detailed Data

[
  {
    "url": "https://streeteasy.com/building/harbor-pointe/b3130",
    "listingId": "3372273",
    "listingType": "rental",
    "status": "ACTIVE",
    "propertyType": "RENTAL",
    "saleType": null,
    "address": "302 Constitution Avenue #B3-130",
    "streetAddress": "302 Constitution Avenue",
    "unit": "B3-130",
    "neighborhood": "Bayonne",
    "latitude": 40.67246,
    "longitude": -74.10038,
    "price": 1985,
    "formattedPrice": "$1,985/mo",
    "totalMonthlyPrice": null,
    "bedrooms": 1.0,
    "fullBathrooms": 1.0,
    "halfBathrooms": 0.0,
    "bathrooms": 1.0,
    "imageUrl": null,
    "imageUrls": [],
    "sourceGroupLabel": "Greystar",
    "tier": "BASIC",
    "furnished": null,
    "offMarketAt": null,
    "detailsFetched": false,
    "sourceQuery": "NYC"
  },
  {
    "url": "https://streeteasy.com/building/1412-brooklyn-avenue-brooklyn/1g",
    "listingId": "4078061",
    "listingType": "rental",
    "status": "ACTIVE",
    "propertyType": "RENTAL",
    "saleType": null,
    "address": "1412 Brooklyn Avenue #1G",
    "streetAddress": "1412 Brooklyn Avenue",
    "unit": "1G",
    "neighborhood": "East Flatbush",
    "latitude": 40.6382,
    "longitude": -73.9432,
    "price": 2223,
    "formattedPrice": "$2,223/mo",
    "totalMonthlyPrice": null,
    "bedrooms": 1.0,
    "fullBathrooms": 1.0,
    "halfBathrooms": 0.0,
    "bathrooms": 1.0,
    "imageUrl": "https://photos.zillowstatic.com/fp/995f8050d73e98e77436fad8fc60e270-se_medium_500_250.webp",
    "imageUrls": [
      "https://photos.zillowstatic.com/fp/995f8050d73e98e77436fad8fc60e270-se_medium_500_250.webp"
    ],
    "sourceGroupLabel": "Clipper Equity",
    "tier": "BASIC",
    "furnished": null,
    "offMarketAt": null,
    "detailsFetched": false,
    "sourceQuery": "NYC"
  },
  {
    "url": "https://streeteasy.com/building/1413-new-york-avenue-brooklyn/2a",
    "listingId": "4107875",
    "listingType": "rental",
    "status": "ACTIVE",
    "propertyType": "RENTAL",
    "saleType": null,
    "address": "1413 New York Avenue #2A",
    "streetAddress": "1413 New York Avenue",
    "unit": "2A",
    "neighborhood": "East Flatbush",
    "latitude": 40.6381,
    "longitude": -73.9446,
    "price": 2770,
    "formattedPrice": "$2,770/mo",
    "totalMonthlyPrice": null,
    "bedrooms": 2.0,
    "fullBathrooms": 1.0,
    "halfBathrooms": 0.0,
    "bathrooms": 1.0,
    "imageUrl": "https://photos.zillowstatic.com/fp/995f8050d73e98e77436fad8fc60e270-se_medium_500_250.webp",
    "imageUrls": [
      "https://photos.zillowstatic.com/fp/995f8050d73e98e77436fad8fc60e270-se_medium_500_250.webp"
    ],
    "sourceGroupLabel": "Clipper Equity",
    "tier": "BASIC",
    "furnished": null,
    "offMarketAt": null,
    "detailsFetched": false,
    "sourceQuery": "NYC"
  }
]