# Streeteasy Property Search Scraper (`stealth_mode/streeteasy-property-search-scraper`) Actor Scrape detailed property listings from StreetEasy with precision. This powerful tool collects prices, bedroom counts, property images, listing status, open house dates, and 33+ fields per property — perfect for real estate analysts, investors, and market researchers. - **URL**: https://apify.com/stealth\_mode/streeteasy-property-search-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Automation, Developer tools, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## StreetEasy Property Scraper: Extract NYC Real Estate Data Instantly --- ### What Is StreetEasy? StreetEasy is the premier real estate marketplace for New York City, hosting thousands of active property listings across Manhattan, Brooklyn, Queens, and beyond. From luxury penthouses to affordable apartments, the platform aggregates sales, rentals, and market data from major brokers and agents. Collecting and analyzing this vast dataset manually is impractical — the **StreetEasy Property Search Scraper** automates the extraction, delivering clean, structured data at scale for informed decision-making. --- ### Overview The **StreetEasy Property Search Scraper** extracts comprehensive property details from search result pages and listing cards on StreetEasy.com. It captures both core property information and metadata, making it ideal for: - **Real estate investors** identifying market opportunities and price trends - **Market researchers** analyzing NYC property supply, pricing, and neighborhood data - **Brokers and agents** monitoring competitor listings and market intelligence - **Data analysts** building dashboards and predictive models - **Developers** integrating property data into real estate platforms or tools Key strengths include configurable scraping limits, automatic error recovery, and rich field capture including pricing, photos, 3D tours, and listing status flags. --- ### Input Format The scraper accepts a JSON configuration object specifying which property listings to collect: ```json { "urls": [ "https://streeteasy.com/for-sale/manhattan?page=2" ], "ignore_url_failures": true, "max_items_per_url": 200 } ```` | Parameter | Type | Description | |---|---|---| | `urls` | Array | Links to StreetEasy search result pages (e.g., filtered by neighborhood, price range, or page number). Paste multiple URLs to expand your dataset. | | `ignore_url_failures` | Boolean | If `true`, the scraper continues if some URLs fail. If `false`, a single failure stops the run. Set to `true` for bulk operations. | | `max_items_per_url` | Integer | Maximum properties to extract per URL (e.g., `200`). Useful for limiting API calls or testing. Set to `200` for comprehensive collection. | **Example URLs:** - `https://streeteasy.com/for-sale/manhattan` - `https://streeteasy.com/for-rent/brooklyn?bedrooms=2&max_price=3000` - `https://streeteasy.com/for-sale/queens?page=3` *** ### Output Format **Sample output** ```json { "id": "1789351", "advertised_on_se": false, "area_name": "Upper West Side", "available_at": null, "bedroom_count": 5, "building_type": "CONDO", "full_bathroom_count": 4, "furnished": false, "geo_point": { "latitude": 40.79173, "longitude": -73.97444 }, "half_bathroom_count": 1, "has_signature_enabled": false, "has_tour_3d": null, "has_videos": true, "interesting_price_delta": null, "is_new_development": true, "living_area_size": 3444, "off_market_at": null, "photos": [ { "description": "251 West 91st Street image 1 of 17", "key": "5666dae0675170a6e21edb84131fd7c8", "url": "https://photos.zillowstatic.com/fp/5666dae0675170a6e21edb84131fd7c8-p_e.webp" }, { "description": "251 West 91st Street image 2 of 17", "key": "7acc2acc19a1d576e81498bad5b05d0b", "url": "https://photos.zillowstatic.com/fp/7acc2acc19a1d576e81498bad5b05d0b-p_e.webp" }, { "description": "251 West 91st Street image 3 of 17", "key": "e13a42044a76f1f8f0c4ad24961aeaab", "url": "https://photos.zillowstatic.com/fp/e13a42044a76f1f8f0c4ad24961aeaab-p_e.webp" }, { "description": "251 West 91st Street image 4 of 17", "key": "b4d5fe5d6dc047ef33681b9b02e891eb", "url": "https://photos.zillowstatic.com/fp/b4d5fe5d6dc047ef33681b9b02e891eb-p_e.webp" }, { "description": "251 West 91st Street image 5 of 17", "key": "cffd96a95ee641960d7a457f0fa8a442", "url": "https://photos.zillowstatic.com/fp/cffd96a95ee641960d7a457f0fa8a442-p_e.webp" }, { "description": "251 West 91st Street image 6 of 17", "key": "da57e9290c3b18d1b6dbeb861ea596cf", "url": "https://photos.zillowstatic.com/fp/da57e9290c3b18d1b6dbeb861ea596cf-p_e.webp" }, { "description": "251 West 91st Street image 7 of 17", "key": "63a3fd0da0e52ee34793054b3b5fe612", "url": "https://photos.zillowstatic.com/fp/63a3fd0da0e52ee34793054b3b5fe612-p_e.webp" }, { "description": "251 West 91st Street image 8 of 17", "key": "2ef8a92926c904f10ff12d5d324513db", "url": "https://photos.zillowstatic.com/fp/2ef8a92926c904f10ff12d5d324513db-p_e.webp" }, { "description": "251 West 91st Street image 9 of 17", "key": "84a247126f9468656966bbc314cdf389", "url": "https://photos.zillowstatic.com/fp/84a247126f9468656966bbc314cdf389-p_e.webp" }, { "description": "251 West 91st Street image 10 of 17", "key": "a9acb885186f6f12b6c4aebfe4be69f2", "url": "https://photos.zillowstatic.com/fp/a9acb885186f6f12b6c4aebfe4be69f2-p_e.webp" }, { "description": "251 West 91st Street image 11 of 17", "key": "8a8922b9dcd11a70678a5591d3316efd", "url": "https://photos.zillowstatic.com/fp/8a8922b9dcd11a70678a5591d3316efd-p_e.webp" }, { "description": "251 West 91st Street image 12 of 17", "key": "75379d895434119bd7202f6ea359e766", "url": "https://photos.zillowstatic.com/fp/75379d895434119bd7202f6ea359e766-p_e.webp" }, { "description": "251 West 91st Street image 13 of 17", "key": "dd0d0efe24e57ed12de4fe334dd78b20", "url": "https://photos.zillowstatic.com/fp/dd0d0efe24e57ed12de4fe334dd78b20-p_e.webp" }, { "description": "251 West 91st Street image 14 of 17", "key": "20e7193b986dd3a4ece538448a4d55fe", "url": "https://photos.zillowstatic.com/fp/20e7193b986dd3a4ece538448a4d55fe-p_e.webp" }, { "description": "251 West 91st Street image 15 of 17", "key": "168fb6bb2236ac4445b87890026e180a", "url": "https://photos.zillowstatic.com/fp/168fb6bb2236ac4445b87890026e180a-p_e.webp" }, { "description": "251 West 91st Street image 16 of 17", "key": "6978c295178d47f4f8bde5e81037f594", "url": "https://photos.zillowstatic.com/fp/6978c295178d47f4f8bde5e81037f594-p_e.webp" }, { "description": "251 West 91st Street image 17 of 17", "key": "e7aaa306d1402d49f0f663f47ce2fcd2", "url": "https://photos.zillowstatic.com/fp/e7aaa306d1402d49f0f663f47ce2fcd2-p_e.webp" } ], "price": 11995000, "slug": null, "sale_type": "SPONSOR_UNIT", "sold_price": 0, "source_group_label": "Reuveni LLC", "source_type": "PARTNER", "state": "NY", "status": "ACTIVE", "street": "251 West 91st Street", "upcoming_open_house": null, "display_unit": "#15A", "url_path": "/building/the-westly/15a", "verified_at": "2026-06-05T17:02:07.000-04:00", "verified_up_to_date": false, "zip_code": "10024", "unit": "#15A", "from_url": "https://streeteasy.com/for-sale/manhattan?page=2" } ``` Each property record contains 33+ fields covering pricing, physical attributes, listing metadata, and media: #### Core Property Identifiers | Field | Meaning | |---|---| | `ID` | Unique StreetEasy property identifier | | `Slug` | URL-friendly property identifier for linking | | `URL Path` | Direct link path to the property listing page | | `Unit` | Apartment/unit number (if applicable) | #### Pricing Information | Field | Meaning | |---|---| | `Price` | Current asking price or rental rate | | `Sold Price` | Final sale price (for sold properties) | | `Interesting Price Delta` | Significant price changes or reductions; highlights market movement | | `Sale Type` | Transaction type (e.g., sale, rent, lease) | #### Property Specifications | Field | Meaning | |---|---| | `Bedroom Count` | Number of bedrooms | | `Full Bathroom Count` | Number of full bathrooms (toilet, sink, shower/tub) | | `Half Bathroom Count` | Number of half bathrooms (toilet, sink only) | | `Living Area Size` | Total square footage of the property | | `Building Type` | Category (e.g., condo, townhouse, rental, co-op) | | `Furnished` | Whether the unit comes furnished | #### Location & Geography | Field | Meaning | |---|---| | `Street` | Property street address | | `Area Name` | Neighborhood or zone (e.g., "Upper West Side") | | `State` | State (typically "NY" for NYC properties) | | `ZIP Code` | Postal code for the property | | `Geo Point` | Latitude/longitude coordinates for mapping | #### Listing Status & Timeline | Field | Meaning | |---|---| | `Status` | Current listing status (active, pending, sold, expired) | | `Advertised On SE` | Date the listing appeared on StreetEasy | | `Available At` | Earliest move-in or occupancy date | | `Off Market At` | Date the property was de-listed | | `Verified At` | Date listing information was last verified | | `Verified Up To Date` | Whether current data is up-to-date per broker verification | #### Open Houses & Tours | Field | Meaning | |---|---| | `Upcoming Open House` | Scheduled open house dates and times | | `Has Tour 3D` | Whether a 3D virtual tour is available | | `Has Videos` | Whether video walkthroughs exist | #### Media & Promotion | Field | Meaning | |---|---| | `Photos` | Array of property photo URLs | | `Has Signature Enabled` | Premium listing badge indicating agent investment in marketing | #### Source & Classification | Field | Meaning | |---|---| | `Source Type` | Data origin (e.g., MLS, broker feed, direct agent) | | `Source Group Label` | Categorization of the data source | | `Is New Development` | Flag indicating brand-new construction or condo buildings | | `Display Unit` | Whether this is a model/show unit (common in new developments) | *** ### How to Use 1. **Prepare URLs** — Visit StreetEasy.com and navigate to property search results. Filter by neighborhood, price, bedrooms, or other criteria. Copy the full URL from your browser. 2. **Configure input** — Paste URLs into the `urls` array. For large datasets, list multiple page URLs (e.g., page=1, page=2, etc.). 3. **Set limits** — Adjust `max_items_per_url` (e.g., `200` for full pages; use `50` for testing). 4. **Enable error recovery** — Set `ignore_url_failures: true` to skip broken URLs without stopping the entire run. 5. **Run the scraper** — Start the actor and monitor progress in the run log. 6. **Export data** — Download as JSON, CSV, or Excel for analysis in spreadsheets, databases, or BI tools. **Pro tips:** - Scrape multiple neighborhoods in separate runs to organize data logically. - Use paginated URLs (`?page=1`, `?page=2`, etc.) to cover large neighborhoods comprehensively. - Filter URLs by price, bedroom count, or sale type to focus on specific market segments. *** ### Use Cases & Business Value - **Investment analysis:** Track price trends, time-on-market, and demand by neighborhood - **Competitive intelligence:** Monitor similar properties and competitor pricing strategies - **Market dashboards:** Build dynamic maps and charts showing inventory, pricing, and availability - **Research & reporting:** Analyze housing affordability, gentrification trends, and supply/demand dynamics - **Automated platforms:** Feed data into real estate aggregators, valuation models, or lead-generation tools - **Neighborhood analysis:** Compare properties, demographics, and market health across NYC boroughs The StreetEasy Property Scraper transforms hours of manual research into minutes of automated data collection, enabling data-driven real estate decisions. *** ### Conclusion The **StreetEasy Property Search Scraper** is an essential tool for anyone serious about NYC real estate market analysis. With 33+ data fields and flexible configuration, it captures everything needed for investment research, competitive analysis, or platform integration. Start scraping today and unlock insights that give you a competitive edge in the New York City real estate market. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the property list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `ignore_url_failures` (type: `boolean`): If true, the scraper will continue running even if some URLs fail to be scraped. ## `max_items_per_url` (type: `integer`): The maximum number of items to scrape per URL. ## Actor input object example ```json { "urls": [ "https://streeteasy.com/for-sale/manhattan?page=2" ], "ignore_url_failures": true, "max_items_per_url": 20 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "https://streeteasy.com/for-sale/manhattan?page=2" ], "ignore_url_failures": true, "max_items_per_url": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("stealth_mode/streeteasy-property-search-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "urls": ["https://streeteasy.com/for-sale/manhattan?page=2"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/streeteasy-property-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://streeteasy.com/for-sale/manhattan?page=2" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/streeteasy-property-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/streeteasy-property-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Streeteasy Property Search Scraper", "description": "Scrape detailed property listings from StreetEasy with precision. This powerful tool collects prices, bedroom counts, property images, listing status, open house dates, and 33+ fields per property — perfect for real estate analysts, investors, and market researchers.", "version": "0.0", "x-build-id": "zFrYkNmhsS3yCf2gR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~streeteasy-property-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-streeteasy-property-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~streeteasy-property-search-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-streeteasy-property-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~streeteasy-property-search-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-streeteasy-property-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "urls": { "title": "URLs of the property list urls to scrape", "type": "array", "description": "Add the URLs of the property list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.", "items": { "type": "string" } }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." }, "max_items_per_url": { "title": "Max items per URL", "type": "integer", "description": "The maximum number of items to scrape per URL." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```