# Zillow & Zumper Scraper (`lentic_clockss/us-real-estate-scraper`) Actor Scrape US real estate listings from Zillow (for-sale) and Zumper (rentals) in one run. Get prices, beds, baths, sqft, GPS coordinates, photos, amenities, phone numbers, ratings, and more. Aggregated into one unified schema. - **URL**: https://apify.com/lentic\_clockss/us-real-estate-scraper.md - **Developed by:** [kane liu](https://apify.com/lentic_clockss) (community) - **Categories:** Real estate, Lead generation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## US Real Estate Scraper Scrape property listings across **Zillow** (for-sale) and **Zumper** (rentals) in a single Actor run. Get prices, beds, baths, sqft, photos, coordinates, amenities, and more — all normalized into one consistent schema. ### Why This Actor? Most real estate scrapers cover only one site. This Actor **aggregates multiple sources** into a unified output schema, so you can compare for-sale and rental listings without juggling different data formats. - **Zillow** — #1 US real estate site (280M monthly visits, 55%+ market share). For-sale listings with full property details. - **Zumper** — Fast-growing rental platform (6.5M monthly visits). Rental listings with pricing, amenities, pet policies, and ratings. ### Features - **Multi-site aggregation** — Zillow + Zumper in one run, unified schema - **For-sale + Rental** — Covers both buying and renting markets - **Rich data** — 20+ fields per listing including GPS coordinates, images, amenities - **Fast** — HTTP-only extraction (no browser), typical run completes in under 10 seconds - **Price & property type filters** — Narrow results by price range and property type - **Graceful degradation** — If one site fails, the others still return results ### Output Fields #### Standard Fields (All Sites) | Field | Type | Description | |-------|------|-------------| | `source` | string | Site the listing came from (`zillow` or `zumper`) | | `listingId` | string | Site-specific listing ID | | `address` | string | Street address | | `city` | string | City name | | `state` | string | State code (e.g. `NY`) | | `zipCode` | string | ZIP code | | `price` | integer | Listing/rent price in USD | | `beds` | integer | Bedrooms | | `baths` | number | Bathrooms (decimal, e.g. `2.5`) | | `sqft` | integer | Living area in square feet | | `propertyType` | string | House, Condo, Townhouse, Apartment Complex, etc. | | `status` | string | `For Sale` or `For Rent` | | `yearBuilt` | integer | Year built (Zillow only) | | `latitude` | number | GPS latitude | | `longitude` | number | GPS longitude | | `listingUrl` | string | Direct URL to listing page | | `imageUrl` | string | Primary photo URL | | `daysOnMarket` | integer | Days listed (Zillow only) | | `scrapedAt` | string | ISO 8601 timestamp | #### Zumper Bonus Fields (Rentals) | Field | Type | Description | |-------|------|-------------| | `propertyName` | string | Building/property name | | `priceMax` | integer | Upper end of rent range | | `bedsMax` | integer | Maximum bedrooms available | | `bathsMax` | number | Maximum bathrooms available | | `phone` | string | Leasing office phone number | | `neighborhood` | string | Neighborhood name | | `rating` | number | Property rating (out of 10) | | `petsAllowed` | boolean | Whether pets are allowed | | `amenities` | array | List of amenity tags | ### Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `location` | string | Yes | — | City and state, e.g. `"New York, NY"` | | `sites` | array | No | `["zillow","zumper"]` | Which sites to scrape | | `maxResults` | integer | No | `50` | Total listings to collect (split across sites) | | `propertyType` | string | No | any | `house`, `condo`, `townhouse`, `apartment`, `land` | | `minPrice` | integer | No | — | Minimum price in USD | | `maxPrice` | integer | No | — | Maximum price in USD | ### Example: For-Sale Listings ```json { "location": "Austin, TX", "sites": ["zillow"], "maxResults": 50, "propertyType": "house", "maxPrice": 600000 } ```` Output: ```json { "source": "zillow", "listingId": "81543210", "address": "1234 Maple Ave", "city": "Austin", "state": "TX", "zipCode": "78701", "price": 549000, "beds": 3, "baths": 2.0, "sqft": 1850, "propertyType": "SINGLE_FAMILY", "status": "For Sale", "yearBuilt": 2003, "latitude": 30.2672, "longitude": -97.7431, "listingUrl": "https://www.zillow.com/homedetails/...", "imageUrl": "https://photos.zillowstatic.com/fp/abc123.jpg", "daysOnMarket": 12, "scrapedAt": "2026-04-02T09:15:00+00:00" } ``` ### Example: Rental Listings ```json { "location": "New York, NY", "sites": ["zumper"], "maxResults": 25 } ``` Output: ```json { "source": "zumper", "listingId": "63457759", "address": "2840 Atlantic Avenue", "city": "New York", "state": "NY", "zipCode": "11207", "price": 2300, "beds": 0, "baths": 0, "sqft": null, "propertyType": "Apartment Complex", "status": "For Rent", "latitude": 40.6763, "longitude": -73.8890, "listingUrl": "https://www.zumper.com/apartment-buildings/p1528434/...", "imageUrl": "https://img.zumpercdn.com/873992950/1280x960", "propertyName": "The Highland", "priceMax": 3688, "bedsMax": 2, "bathsMax": 2, "phone": "(516) 619-3153", "neighborhood": "East New York", "rating": 9.7, "petsAllowed": false, "amenities": ["Granite Countertop", "Fitness Center", "Stainless Steel Appliances"], "scrapedAt": "2026-04-02T10:37:38+00:00" } ``` ### Use Cases - **Real estate investors** — Screen markets by price, size, and days on market across for-sale and rental - **Renters** — Compare rental prices, amenities, and pet policies across neighborhoods - **PropTech analytics** — Build price heatmaps, neighborhood comparisons, rental yield analysis - **Lead generation** — Find listings with phone numbers for direct outreach - **Market research** — Compare for-sale vs rental inventory and pricing across US metros ### Supported Locations Works for any US city. Major metros have pre-mapped region IDs for best Zillow coverage: New York, Los Angeles, Chicago, Houston, Phoenix, Philadelphia, San Antonio, San Diego, Dallas, San Francisco, Seattle, Denver, Austin, Nashville, Miami, Atlanta, Boston, Las Vegas, Portland, Minneapolis, Charlotte, Detroit, Baltimore. ### Performance | Site | Method | Results/Page | Typical Speed | |------|--------|-------------|---------------| | Zillow | Internal API | Up to 40 | ~2 seconds | | Zumper | SSR JSON extraction | 25 | ~1.5 seconds | A default run (50 results, 2 sites) completes in **under 10 seconds**. ### Technical Details - `curl_cffi` with Chrome 136 TLS fingerprint impersonation - Zillow: internal `PUT /async-create-search-page-state` JSON API - Zumper: `window.__PRELOADED_STATE__` Redux store extraction - Built-in proxy support via Webshare residential IPs - Optional Apify Proxy support for advanced users # Actor input Schema ## `location` (type: `string`): City and state, e.g. 'New York, NY' or 'San Francisco, CA' ## `sites` (type: `array`): Sites to scrape. US: Zillow + Zumper. Europe: Otodom (Poland) + ImmobilienScout24 (Germany). IS24 requires residential proxy. ## `maxResults` (type: `integer`): Maximum total listings to collect (split evenly across chosen sites). ## `propertyType` (type: `string`): Filter by property type. Leave empty for all types. ## `minPrice` (type: `integer`): Minimum listing price in USD (optional). ## `maxPrice` (type: `integer`): Maximum listing price in USD (optional). ## `proxyConfiguration` (type: `object`): Required for Apartments.com (residential proxy recommended). Other sites use built-in proxies. ## Actor input object example ```json { "location": "New York, NY", "sites": [ "zillow", "zumper" ], "maxResults": 50, "propertyType": "", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # Actor output Schema ## `listings` (type: `string`): Dataset containing all scraped property listings # 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 = { "location": "New York, NY", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("lentic_clockss/us-real-estate-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 = { "location": "New York, NY", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("lentic_clockss/us-real-estate-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 '{ "location": "New York, NY", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call lentic_clockss/us-real-estate-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lentic_clockss/us-real-estate-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zillow & Zumper Scraper", "description": "Scrape US real estate listings from Zillow (for-sale) and Zumper (rentals) in one run. Get prices, beds, baths, sqft, GPS coordinates, photos, amenities, phone numbers, ratings, and more. Aggregated into one unified schema.", "version": "0.1", "x-build-id": "qnYXBHK4cGCRAJkh9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lentic_clockss~us-real-estate-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lentic_clockss-us-real-estate-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lentic_clockss~us-real-estate-scraper/runs": { "post": { "operationId": "runs-sync-lentic_clockss-us-real-estate-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lentic_clockss~us-real-estate-scraper/run-sync": { "post": { "operationId": "run-sync-lentic_clockss-us-real-estate-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "location" ], "properties": { "location": { "title": "Location", "type": "string", "description": "City and state, e.g. 'New York, NY' or 'San Francisco, CA'" }, "sites": { "title": "Sites to search", "type": "array", "description": "Sites to scrape. US: Zillow + Zumper. Europe: Otodom (Poland) + ImmobilienScout24 (Germany). IS24 requires residential proxy.", "items": { "type": "string", "enum": [ "zillow", "zumper", "otodom", "immobilienscout24", "redfin", "realtor", "apartments" ] }, "default": [ "zillow", "zumper" ] }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum total listings to collect (split evenly across chosen sites).", "default": 50 }, "propertyType": { "title": "Property type", "enum": [ "", "house", "condo", "townhouse", "apartment", "land" ], "type": "string", "description": "Filter by property type. Leave empty for all types.", "default": "" }, "minPrice": { "title": "Min price ($)", "type": "integer", "description": "Minimum listing price in USD (optional)." }, "maxPrice": { "title": "Max price ($)", "type": "integer", "description": "Maximum listing price in USD (optional)." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Required for Apartments.com (residential proxy recommended). Other sites use built-in proxies." } } }, "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 } } } } } } } } } } ```