# Realtyrac Parser Spider (`getdataforme/realtyrac-parser-spider`) Actor The Realtyrac Parser Spider efficiently extracts detailed property data from RealtyTrac listings, ideal for market analysis and business automation.... - **URL**: https://apify.com/getdataforme/realtyrac-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Agents, E-commerce, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 ## Realtyrac Parser Spider ### Introduction The Realtyrac Parser Spider is designed to efficiently extract detailed property information from RealtyTrac listings. This actor is ideal for users seeking comprehensive real estate data for market analysis, competitive intelligence, and business automation. ### Features - **Comprehensive Data Extraction**: Retrieves detailed property information including price, type, size, and historical data. - **High Data Quality**: Ensures accurate and up-to-date information from RealtyTrac. - **Performance Efficiency**: Optimized for fast and reliable data scraping. - **Customizable Inputs**: Easily configure URLs for targeted data extraction. - **Versatile Output Formats**: Export data in JSON, CSV, or Excel formats. - **User-Friendly Interface**: Simple setup and monitoring via the Apify platform. - **Scalable Solution**: Suitable for both small-scale and large-scale data needs. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|--------------------------------------------------|-------------------------------------------------------------------------| | Urls | Array | Yes | List of URLs to scrape from RealtyTrac. | `["https://www.realtytrac.com/p/aspen-ave-california-city-ca-93505-25287085/"]` | ### Example Usage #### Example Input JSON ```json { "Urls": [ "https://www.realtytrac.com/p/aspen-ave-california-city-ca-93505-25287085/" ] } ```` #### Example Output JSON ```json [ { "URL": "https://www.realtytrac.com/p/aspen-ave-california-city-ca-93505-25287085/", "source": "realtytrac", "property_id": "25287085", "listing_url": "https://www.era.com/property/detail/ca/california-city/10632-aspen-ave/lid-P00800000GzJSb39NzitWZWPkYjKipr7NKrdKAM3", "title": "10632 Aspen Ave, California City, CA 93505 | RealtyTrac", "property_type": "Single Family Residence", "price": 285000, "bedrooms": 4, "bathrooms": 2, "square_footage": 1618, "lot_size": 10018, "year_built": 1989, "street_address": "10632 ASPEN AVE", "city": "CALIFORNIA CITY", "state": "California", "zip_code": "93505", "county": "Kern", "neighborhood": "2226", "parking_spaces": null, "parking_type": null, "heating": "Yes", "cooling": "Package", "num_stories": 1, "has_fireplace": true, "has_pool": false, "property_tax": 3206.43, "tax_assessed_value": 250000, "price_per_sqft": 186.14, "image_urls": [ { "desktop": "http://maps.googleapis.com/maps/api/streetview?size=640x480&return_error_code=true&sensor=false&client=gme-nationsinfocorp1&location=10632+ASPEN+AVE%2CCALIFORNIA+CITY%2CCA%2C93505&signature=n1ze4jor-my4YOFT0QGYtTQjR-g" } ], "bing_photo_url": "https://dudtfne5hk5fn.cloudfront.net/null", "listing_date": "2025-08-27", "last_updated_date": "2026-04-21", "property_status": { "listedForSale": true, "isNew": false, "offMarketLast6mo": false }, "occupancy_status": "Owner Occupied", "parcel_number": "210-193-05-00-3", "latitude": 35.124698, "longitude": -117.938467, "sale_history": [ { "recordingDate": 1761868800000, "status": "Sold", "amount": 304000, "buildingSquarefeet": 1618, "pricePerSqFt": 188 }, { "recordingDate": 1749427200000, "status": "Sold", "amount": 182500, "buildingSquarefeet": 1618, "pricePerSqFt": 113 } ], "tax_history": [ { "year": 2020, "taxAmount": 1661.47, "landAmount": 10075, "improvementAmount": 117376, "assessment": 127451 }, { "year": 2019, "taxAmount": 1658.42, "landAmount": 9878, "improvementAmount": 115075, "assessment": 124953 }, { "year": 2018, "taxAmount": 1564.96, "landAmount": 5000, "improvementAmount": 112000, "assessment": 117000 }, { "year": 2017, "taxAmount": 1421.88, "landAmount": 5000, "improvementAmount": 95000, "assessment": 100000 }, { "year": 2016, "taxAmount": 1146.24, "landAmount": 5000, "improvementAmount": 79000, "assessment": 84000 }, { "year": 2015, "taxAmount": 1079.51, "landAmount": 19000, "improvementAmount": 58000, "assessment": 77000 }, { "year": 2014, "taxAmount": 863.68, "landAmount": 5000, "improvementAmount": 55000, "assessment": 60000 }, { "year": 2013, "taxAmount": 646.84, "landAmount": 3000, "improvementAmount": 38300, "assessment": 41300 }, { "year": 2012, "taxAmount": 622.05, "landAmount": 6000, "improvementAmount": 30400, "assessment": 36400 } ], "estimated_rental": 2174, "rental_range_min": 1906, "rental_range_max": 2737, "owner_name": "VICTOR HUGO CHAVEZ JR", "owner_type": "COMPANY", "years_owned": 0.47, "actor_id": "kZaREmcMgZTOuIyi7", "run_id": "w5kQWoxSiUls89hQo" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather comprehensive data for real estate market trends. - **Competitive Intelligence**: Monitor competitor property listings and pricing strategies. - **Price Monitoring**: Track property price changes over time. - **Content Aggregation**: Compile real estate data for content creation. - **Academic Research**: Analyze property data for academic studies. - **Business Automation**: Automate data collection for real estate businesses. ### Installation and Usage ``` 1. Search for "Realtyrac Parser Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ``` ### Output Format The output is a JSON array containing detailed property information such as URL, property type, price, bedrooms, bathrooms, square footage, lot size, and historical data. Key fields include `property_id`, `listing_url`, `price`, `bedrooms`, `bathrooms`, and `sale_history`. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json { "Urls": [ "https://www.realtytrac.com/p/aspen-ave-california-city-ca-93505-25287085/" ] } ``` # 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("getdataforme/realtyrac-parser-spider").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("getdataforme/realtyrac-parser-spider").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 getdataforme/realtyrac-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/realtyrac-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Realtyrac Parser Spider", "description": "The Realtyrac Parser Spider efficiently extracts detailed property data from RealtyTrac listings, ideal for market analysis and business automation....", "version": "0.0", "x-build-id": "AoSVaHYt3VqkDJXXJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~realtyrac-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-realtyrac-parser-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~realtyrac-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-realtyrac-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~realtyrac-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-realtyrac-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://www.realtytrac.com/p/aspen-ave-california-city-ca-93505-25287085/" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```