# Realtor.com Scraper 🏠 (`easyapi/realtor-com-scraper`) Actor Scrape real estate listings from Realtor.com. Extract detailed property information including prices, location details, property features, and more. Perfect for real estate market analysis and property research. - **URL**: https://apify.com/easyapi/realtor-com-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** Real estate, Integrations - **Stats:** 27 total users, 5 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 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 ## Realtor.com Scraper 🏠 ### Features ✨ - Scrapes property listings from Realtor.com search results - Supports custom search URLs for different locations and filters - Extracts comprehensive property details - Handles pagination automatically - Configurable maximum number of items to scrape - Real-time data streaming with SSE (Server-Sent Events) ### Description πŸ“ This actor allows you to extract detailed real estate listings from Realtor.com. It's perfect for real estate professionals, researchers, and anyone interested in gathering property market data. ### Use Cases 🎯 - Market research and analysis - Property price comparisons - Real estate investment research - Tracking property availability in specific areas - Building real estate databases - Competitive analysis ### Input Parameters πŸ“‹ - `searchUrl`: URL of the Realtor.com search results page (e.g., "https://www.realtor.com/realestateandhomes-search/Mahopac_NY/") - `maxItems`: Maximum number of items to scrape ### Output Dataset πŸ“Š The actor stores results in a dataset, with each property containing detailed information including: - Property details (price, bedrooms, bathrooms) - Location information - Property features and amenities - Listing status - Contact information - And more... ### Usage Tips πŸ’‘ 1. To get started, simply provide a Realtor.com search URL 2. Adjust maxItems based on your needs 3. Results are streamed in real-time for efficient processing ### Limitations ⚠️ - Respect Realtor.com's terms of service and fair usage policy - Performance may vary based on the complexity of the search results - Some property details may be limited for non-public listings #### Input Example A full explanation of an input example in JSON. ```` { "searchUrl": "https://www.realtor.com/realestateandhomes-search/Mahopac\_NY/", "maxItems": 60 } ```` #### Output sample The results will be wrapped into a dataset which you can always find in theΒ **Storage**Β tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. ```json [ { "property_id": "4785287743", "list_price": 650000, "search_promotions": null, "primary_photo": { "href": "https://ap.rdcpix.com/569032be48b60d351eaaa5300b71336fl-m3253677755s.jpg" }, "listing_id": "2975856327", "matterport": true, "virtual_tours": null, "status": "for_sale", "products": { "products": [ "core.agent", "core.broker", "co_broke" ], "brand_name": "essentials" }, "source": { "id": "LINY", "name": "OneKeyMLS", "type": "mls", "spec_id": null, "plan_id": null, "agents": [ { "office_name": null } ] }, "lead_attributes": { "show_contact_an_agent": true, "market_type": "choice", "opcity_lead_attributes": { "cashback_enabled": false, "flip_the_market_enabled": false }, "lead_type": "co_broke", "ready_connect_mortgage": { "show_contact_a_lender": false, "show_veterans_united": false } }, "community": null, "permalink": "62-Fairmont-Rd_Mahopac_NY_10541_M47852-87743", "price_reduced_amount": null, "description": { "name": null, "beds": 4, "baths_consolidated": "2", "sqft": 2548, "lot_sqft": 20800, "baths_max": null, "baths_min": null, "beds_min": null, "beds_max": null, "sqft_min": null, "sqft_max": null, "type": "single_family", "sub_type": null, "sold_price": 570000, "sold_date": "2022-09-13" }, "location": { "street_view_url": "https://maps.googleapis.com/maps/api/streetview?channel=rdc-streetview&client=gme-movesalesinc&location=62%20Fairmont%20Rd%2C%20Mahopac%2C%20NY%2010541&size=640x480&source=outdoor&signature=XFFNpFY-vfXajf-V2xRk7cwq5Zk=", "address": { "line": "62 Fairmont Rd", "postal_code": "10541", "state": "New York", "state_code": "NY", "city": "Mahopac", "coordinate": { "lat": 41.384793, "lon": -73.716765 } }, "county": { "name": "Putnam", "fips_code": "36079" } }, "open_houses": null, "branding": [ { "type": "Office", "name": "Redfin Real Estate", "photo": null } ], "flags": { "is_coming_soon": null, "is_new_listing": true, "is_price_reduced": null, "is_foreclosure": null, "is_new_construction": null, "is_pending": null, "is_contingent": null }, "list_date": "2024-12-05T23:32:01.000000Z", "photos": [ { "href": "https://ap.rdcpix.com/569032be48b60d351eaaa5300b71336fl-m3253677755s.jpg" }, { "href": "https://ap.rdcpix.com/569032be48b60d351eaaa5300b71336fl-m3093967040s.jpg" }, { "href": "https://ap.rdcpix.com/569032be48b60d351eaaa5300b71336fl-m2486510616s.jpg" }, { "href": "https://ap.rdcpix.com/569032be48b60d351eaaa5300b71336fl-m1693320552s.jpg" }, { "href": "https://ap.rdcpix.com/569032be48b60d351eaaa5300b71336fl-m3259326960s.jpg" } ], "advertisers": [ { "type": "seller", "builder": null } ] }, ... ] ```` # Actor input Schema ## `searchUrl` (type: `string`): Realtor.com search results URL ## `maxItems` (type: `integer`): Maximum number of items to scrape ## Actor input object example ```json { "searchUrl": "https://www.realtor.com/realestateandhomes-search/Mahopac_NY/", "maxItems": 50 } ``` # 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("easyapi/realtor-com-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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("easyapi/realtor-com-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call easyapi/realtor-com-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easyapi/realtor-com-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Realtor.com Scraper 🏠", "description": "Scrape real estate listings from Realtor.com. Extract detailed property information including prices, location details, property features, and more. Perfect for real estate market analysis and property research.", "version": "0.0", "x-build-id": "YvpJiytyZLrkHUyc9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easyapi~realtor-com-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easyapi-realtor-com-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/easyapi~realtor-com-scraper/runs": { "post": { "operationId": "runs-sync-easyapi-realtor-com-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/easyapi~realtor-com-scraper/run-sync": { "post": { "operationId": "run-sync-easyapi-realtor-com-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchUrl" ], "properties": { "searchUrl": { "title": "Search URL", "type": "string", "description": "Realtor.com search results URL", "default": "https://www.realtor.com/realestateandhomes-search/Mahopac_NY/" }, "maxItems": { "title": "Maximum Items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of items to scrape", "default": 50 } } }, "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 } } } } } } } } } } ```