# NYC Real Estate Scraper — StreetEasy & Redfin (`aurumworks/realestate-nyc`) Actor 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. - **URL**: https://apify.com/aurumworks/realestate-nyc.md - **Developed by:** [Aryan Saxena](https://apify.com/aurumworks) (community) - **Categories:** Automation, Real estate, Integrations - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $7.00 / 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. 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 ## 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 | Field | Type | Description | Default | |-------|------|-------------|---------| | Listing Type | string | sale or rent | sale | | Neighborhood | string | NYC neighborhood name | All NYC | | Min Price | integer | Minimum price ($) | — | | Max Price | integer | Maximum price ($) | — | | Min Bedrooms | integer | Minimum bedrooms | — | | Property Type | string | all, apartment, condo, co-op, townhouse, house | all | | Max Results | integer | Maximum listings to scrape | 100 | ### 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 ```json { "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 | Field | Description | |-------|-------------| | price | Listing price in USD | | address | Street address | | neighborhood | NYC neighborhood | | bedrooms | Number of bedrooms (or "Studio") | | bathrooms | Number of bathrooms | | sqft | Square footage | | propertyType | Condo, Co-op, Townhouse, House, Apartment | | noFee | Whether it's a no-broker-fee rental | | platform | streeteasy or redfin | | url | Direct 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. # Actor input Schema ## `listingType` (type: `string`): Type of listing to scrape — sale or rent ## `neighborhood` (type: `string`): NYC neighborhood (e.g. Manhattan, Brooklyn, Upper East Side, Williamsburg) ## `minPrice` (type: `integer`): Minimum listing price in USD ## `maxPrice` (type: `integer`): Maximum listing price in USD ## `minBeds` (type: `integer`): Minimum number of bedrooms ## `propertyType` (type: `string`): Filter by property type ## `maxResults` (type: `integer`): Maximum number of listings to scrape ## Actor input object example ```json { "listingType": "sale", "propertyType": "all", "maxResults": 100 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("aurumworks/realestate-nyc").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 = {} # Run the Actor and wait for it to finish run = client.actor("aurumworks/realestate-nyc").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 '{}' | apify call aurumworks/realestate-nyc --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aurumworks/realestate-nyc", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NYC Real Estate Scraper — StreetEasy & Redfin", "description": "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.", "version": "0.1", "x-build-id": "RjH2niEXiU7gDNuWB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aurumworks~realestate-nyc/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aurumworks-realestate-nyc", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aurumworks~realestate-nyc/runs": { "post": { "operationId": "runs-sync-aurumworks-realestate-nyc", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aurumworks~realestate-nyc/run-sync": { "post": { "operationId": "run-sync-aurumworks-realestate-nyc", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "listingType": { "title": "Listing Type", "enum": [ "sale", "rent" ], "type": "string", "description": "Type of listing to scrape — sale or rent", "default": "sale" }, "neighborhood": { "title": "Neighborhood", "type": "string", "description": "NYC neighborhood (e.g. Manhattan, Brooklyn, Upper East Side, Williamsburg)" }, "minPrice": { "title": "Min Price ($)", "type": "integer", "description": "Minimum listing price in USD" }, "maxPrice": { "title": "Max Price ($)", "type": "integer", "description": "Maximum listing price in USD" }, "minBeds": { "title": "Min Bedrooms", "minimum": 0, "maximum": 10, "type": "integer", "description": "Minimum number of bedrooms" }, "propertyType": { "title": "Property Type", "enum": [ "all", "apartment", "condo", "co-op", "townhouse", "house" ], "type": "string", "description": "Filter by property type", "default": "all" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of listings to scrape", "default": 100 } } }, "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 } } } } } } } } } } ```