# Zillow, Realtor & Redfin Scraper | US Real Estate Data (`jonn/us-realestate-multisource`) Actor Scrape Realtor.com and Redfin in one run. Get deduplicated US property listings with cross-source price comparison, unified schema (30+ fields), and agent contact data. For sale, for rent, or recently sold. Any US city. $3 per 1,000 results. - **URL**: https://apify.com/jonn/us-realestate-multisource.md - **Developed by:** [Jonathan](https://apify.com/jonn) (community) - **Categories:** Real estate, Automation - **Stats:** 6 total users, 3 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $3.00 / 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 ## Zillow, Realtor.com & Redfin Scraper — US Real Estate Data Zillow, Realtor.com and Redfin scraper for US real estate and property listings. Scrape all 3 sources in one run with deduplicated results, unified schema, and price comparison across sources. Any US city. --- **3 sources in 1 run** | **25+ fields per listing** | **Any US city — from NYC to Fargo** --- ### What you get This actor scrapes the three largest US real estate sites in a single run and returns a clean, deduplicated dataset. - **Deduplicated results.** Same property found on Zillow and Realtor.com? You get 1 row with prices from both sources and a `priceDelta` field showing the difference. - **Unified schema.** Every listing has the same 25+ fields regardless of source: address, price, beds, baths, sqft, GPS coordinates, photos, agent info, and more. - **Filters.** Price range, bedrooms, bathrooms, square footage, property type (single family, condo, townhouse, multi-family, land). - **All listing types.** For sale, for rent, or recently sold. - **Any US city.** Enter a city name, ZIP code, or slug. Tested on 30+ cities from major metros to small towns. ### Quick start **NYC Rentals under $3,000:** ```json { "location": "New York, NY", "listingType": "for_rent", "maxPrice": 3000, "maxResults": 200 } ```` **Austin TX Houses for Sale:** ```json { "location": "Austin, TX", "listingType": "for_sale", "propertyType": ["single_family"], "maxResults": 200 } ``` **Indianapolis Multi-Family under $250K:** ```json { "location": "Indianapolis, IN", "listingType": "for_sale", "propertyType": ["multi_family"], "maxPrice": 250000, "maxResults": 200 } ``` ### Output fields Each listing contains these fields: | Field | Description | |---|---| | `id` | Unique listing ID | | `sourceIds` | IDs on each source (zillow, realtor, redfin) | | `foundOnSources` | Which sites had this listing | | `listingUrls` | Direct URLs to the listing on each site | | `address` | Full address | | `streetAddress` | Street address only | | `city` | City | | `state` | State code | | `zipcode` | ZIP code | | `latitude` | GPS latitude | | `longitude` | GPS longitude | | `price` | Listing price (numeric) | | `priceFormatted` | Price as formatted string ($500,000) | | `priceBySource` | Price on each source for comparison | | `priceDelta` | Price difference between sources | | `pricePerSqft` | Price per square foot | | `bedrooms` | Number of bedrooms | | `bathrooms` | Number of bathrooms | | `sqft` | Square footage | | `lotSize` | Lot size | | `yearBuilt` | Year built (Realtor.com and Redfin) | | `propertyType` | SINGLE\_FAMILY, CONDO, TOWNHOUSE, MULTI\_FAMILY, LAND | | `listingStatus` | FOR\_SALE, FOR\_RENT, RECENTLY\_SOLD | | `daysOnMarket` | Days since listed (Zillow, Realtor.com, Redfin) | | `agent.name` | Listing agent name (Realtor.com, Redfin when available) | | `agent.phone` | Agent phone number (Realtor.com, when available) | | `agent.brokerage` | Brokerage name (Redfin, when available) | | `images` | Photo URLs (all photos from Realtor.com, thumbnail from Zillow) | | `scrapedAt` | Timestamp of extraction | ### Input parameters | Parameter | Type | Default | Description | |---|---|---|---| | `location` | string | `"austin-tx"` | City name, ZIP code, or slug. Examples: `"Miami, FL"`, `"78701"`, `"new-york-ny"` | | `listingType` | enum | `"for_sale"` | `"for_sale"`, `"for_rent"`, or `"sold"` | | `sources` | array | `["zillow", "realtor", "redfin"]` | Which sites to scrape | | `maxResults` | number | `200` | Max listings per source (up to 1,000) | | `propertyType` | array | `[]` | `single_family`, `condo`, `townhouse`, `multi_family`, `land` | | `minPrice` | number | -- | Minimum price | | `maxPrice` | number | -- | Maximum price | | `minBeds` | number | -- | Minimum bedrooms | | `maxBeds` | number | -- | Maximum bedrooms | | `minSqft` | number | -- | Minimum square footage | | `maxSqft` | number | -- | Maximum square footage | | `minBaths` | number | -- | Minimum bathrooms | | `enableDeduplication` | boolean | `true` | Merge duplicate listings across sources | ### Pricing **$3 per 1,000 results.** All 3 sources included. No monthly fee. You only pay for deduplicated results pushed to the dataset. If the same property appears on Zillow and Redfin, it counts as 1 result. | Use case | Results | Cost | |---|---|---| | Quick city check | ~50 | $0.15 | | City overview, all sources | ~200 | $0.60 | | Full market analysis with filters | ~500 | $1.50 | | Multi-city research | ~1,000 | $3.00 | | Large dataset | ~10,000 | $30.00 | New Apify accounts get $5 free credits — enough for 1,600+ listings at no cost. ### FAQ **Does it work for any US city?** Yes. Tested on 30+ cities from major metros (New York, Los Angeles, Chicago) to small towns (Fargo ND, Peoria IL, Sioux Falls SD). Enter any city name, ZIP code, or neighborhood. **How fast is it?** Typically 50-60 seconds for 200 listings across all 3 sources. Larger runs (1,000 listings) take 2-3 minutes. **Do I need to configure anything?** No. Enter a location and hit Start. Everything works out of the box. **What if sources disagree on price?** The `priceBySource` field shows the price on each site. The `priceDelta` field shows the difference. You can spot pricing discrepancies instantly. **Can I run this on a schedule?** Yes. Set up a scheduled run on Apify for daily, weekly, or custom intervals. Combine with the dataset API to build automated pipelines. # Actor input Schema ## `location` (type: `string`): US city, ZIP code, or neighborhood (e.g. 'austin-tx', '78701', 'Austin, TX'). Via API you can also pass an array of locations. ## `searchUrls` (type: `array`): Direct search URLs from Zillow/Realtor/Redfin. Overrides location. ## `listingType` (type: `string`): Type of listings to scrape ## `sources` (type: `array`): Which sites to scrape ## `maxResults` (type: `integer`): Maximum listings to extract per source ## `minPrice` (type: `integer`): Minimum listing price ## `maxPrice` (type: `integer`): Maximum listing price ## `minBeds` (type: `integer`): Minimum number of bedrooms ## `maxBeds` (type: `integer`): Maximum number of bedrooms ## `minSqft` (type: `integer`): Minimum square footage ## `maxSqft` (type: `integer`): Maximum square footage ## `propertyType` (type: `array`): Filter by property type. Leave empty for all types. ## `minBaths` (type: `integer`): Minimum number of bathrooms ## `scrapeDetails` (type: `boolean`): Visit each listing page for full details (description, all photos, price history). Slower but more data. ## `enableDeduplication` (type: `boolean`): Merge same property found on multiple sources into one row ## `enableDeltaTracking` (type: `boolean`): Flag new listings and price changes since last run ## `maxConcurrency` (type: `integer`): Parallel HTTP sessions (keep low for real estate sites) ## `proxyConfiguration` (type: `object`): Residential proxies strongly recommended. Supports Apify proxies, IPRoyal (HOST:PORT:USER:PASS format), or any HTTP proxy URL. ## Actor input object example ```json { "location": "austin-tx", "listingType": "for_sale", "sources": [ "zillow", "realtor", "redfin" ], "maxResults": 200, "propertyType": [], "scrapeDetails": false, "enableDeduplication": true, "enableDeltaTracking": false, "maxConcurrency": 2, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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": "austin-tx", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("jonn/us-realestate-multisource").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": "austin-tx", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("jonn/us-realestate-multisource").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": "austin-tx", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call jonn/us-realestate-multisource --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jonn/us-realestate-multisource", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zillow, Realtor & Redfin Scraper | US Real Estate Data", "description": "Scrape Realtor.com and Redfin in one run. Get deduplicated US property listings with cross-source price comparison, unified schema (30+ fields), and agent contact data. For sale, for rent, or recently sold. Any US city. $3 per 1,000 results.", "version": "0.1", "x-build-id": "suyDaiNFVnd5oeFxl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jonn~us-realestate-multisource/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jonn-us-realestate-multisource", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/jonn~us-realestate-multisource/runs": { "post": { "operationId": "runs-sync-jonn-us-realestate-multisource", "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/jonn~us-realestate-multisource/run-sync": { "post": { "operationId": "run-sync-jonn-us-realestate-multisource", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "location" ], "properties": { "location": { "title": "Location", "type": "string", "description": "US city, ZIP code, or neighborhood (e.g. 'austin-tx', '78701', 'Austin, TX'). Via API you can also pass an array of locations." }, "searchUrls": { "title": "Search URLs (optional)", "type": "array", "description": "Direct search URLs from Zillow/Realtor/Redfin. Overrides location.", "items": { "type": "string" } }, "listingType": { "title": "Listing type", "enum": [ "for_sale", "for_rent", "sold" ], "type": "string", "description": "Type of listings to scrape", "default": "for_sale" }, "sources": { "title": "Sources", "type": "array", "description": "Which sites to scrape", "items": { "type": "string", "enum": [ "zillow", "realtor", "redfin" ] }, "default": [ "zillow", "realtor", "redfin" ] }, "maxResults": { "title": "Max results per source", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum listings to extract per source", "default": 200 }, "minPrice": { "title": "Min price ($)", "type": "integer", "description": "Minimum listing price" }, "maxPrice": { "title": "Max price ($)", "type": "integer", "description": "Maximum listing price" }, "minBeds": { "title": "Min bedrooms", "minimum": 0, "maximum": 10, "type": "integer", "description": "Minimum number of bedrooms" }, "maxBeds": { "title": "Max bedrooms", "minimum": 0, "maximum": 10, "type": "integer", "description": "Maximum number of bedrooms" }, "minSqft": { "title": "Min sqft", "type": "integer", "description": "Minimum square footage" }, "maxSqft": { "title": "Max sqft", "type": "integer", "description": "Maximum square footage" }, "propertyType": { "title": "Property type", "type": "array", "description": "Filter by property type. Leave empty for all types.", "items": { "type": "string", "enum": [ "single_family", "condo", "townhouse", "multi_family", "land" ], "enumTitles": [ "Single Family", "Condo", "Townhouse", "Multi Family", "Land" ] }, "default": [] }, "minBaths": { "title": "Min bathrooms", "minimum": 0, "maximum": 10, "type": "integer", "description": "Minimum number of bathrooms" }, "scrapeDetails": { "title": "Scrape detail pages", "type": "boolean", "description": "Visit each listing page for full details (description, all photos, price history). Slower but more data.", "default": false }, "enableDeduplication": { "title": "Enable cross-source deduplication", "type": "boolean", "description": "Merge same property found on multiple sources into one row", "default": true }, "enableDeltaTracking": { "title": "Enable delta tracking", "type": "boolean", "description": "Flag new listings and price changes since last run", "default": false }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 5, "type": "integer", "description": "Parallel HTTP sessions (keep low for real estate sites)", "default": 2 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Residential proxies strongly recommended. Supports Apify proxies, IPRoyal (HOST:PORT:USER:PASS format), or any HTTP proxy 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 } } } } } } } } } } ```