# Realtor.com Suite — Search + Deep Details (`axlymxp/realtor-suite`) Actor The complete Realtor.com toolkit: search listings then auto-fetch full details, price history, photos and agent contacts in one run. - **URL**: https://apify.com/axlymxp/realtor-suite.md - **Developed by:** [axly](https://apify.com/axlymxp) (community) - **Categories:** Agents, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 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 ## Realtor.com Suite — Search + Deep Details **Actor**: `axlymxp/realtor-suite` **Version**: 1.0 The complete Realtor.com intelligence toolkit. Search listings and automatically fetch deep property details in a single run — price history, agent contacts, tax records, photos, and more. ### Features - **Phase 1 — Search**: Find up to 500 matching listings with rich filters - **Phase 2 — Details**: Auto-fetch full details for the top N results - Smart cost control via `maxDetailsToScrape` - Summary statistics saved to key-value store (`STATS` key) - All search results and detailed properties in a single dataset (distinguished by `_type` field) ### Input | Field | Type | Default | Description | | ----------------------- | ------- | -------------- | ------------------------------------- | | `location` | string | **required** | City + State, ZIP or address | | `maxSearchResults` | integer | 100 | Max listings to find (1–500) | | `maxDetailsToScrape` | integer | 30 | How many top results get full details | | `status` | array | `["for_sale"]` | Listing status | | `minPrice` / `maxPrice` | integer | — | Price range | | `minBeds` | integer | — | Min bedrooms | | `sort` | string | `"newest"` | Sort order | | `deepScrape` | boolean | true | Enable deep detail scraping | | `includePriceHistory` | boolean | true | Include price history | | `includeAgentInfo` | boolean | true | Include agent info | | `includePhotos` | boolean | true | Include photo URLs | | `includeTaxesAndHOA` | boolean | true | Include tax & HOA data | | `httpProxy` | string | — | Optional proxy URL | ### Output **Dataset items** (two types, distinguished by `_type`): - `search_result` — basic listing data for all search results - `detailed_property` — full details for top N results (includes `searchRank`) **Key-value store** — `STATS` key with run statistics: - `searchTotal`, `searchRetrieved`, `detailsScraped`, `detailErrors` - `avgPrice`, `minPriceFound`, `maxPriceFound` - `startedAt`, `finishedAt` ### Pricing - Search results: **$1.80 per 1,000** (`search_result`) - Detailed properties: **$4.50 per 1,000** (`detailed_property`) # Actor input Schema ## `location` (type: `string`): City + State, ZIP code, or address (e.g. 'Seattle WA', '90210'). ## `maxSearchResults` (type: `integer`): How many listings to find in the search phase (1–500). ## `maxDetailsToScrape` (type: `integer`): How many of the top search results get full details scraped. Set to 0 to skip deep scrape. ## `status` (type: `array`): Filter by listing status. ## `homeType` (type: `array`): Filter by home type (home, plan, or spec_home). ## `minPrice` (type: `integer`): Minimum listing price in dollars. ## `maxPrice` (type: `integer`): Maximum listing price in dollars. ## `minBeds` (type: `integer`): Minimum number of bedrooms. ## `minBaths` (type: `number`): Minimum number of bathrooms. ## `sort` (type: `string`): How to sort the search results. ## `deepScrape` (type: `boolean`): Fetch full details (price history, photos, agent, taxes) for top results. ## `includePriceHistory` (type: `boolean`): Include full price history records in detailed property output. ## `includeAgentInfo` (type: `boolean`): Include listing agent and broker contact information. ## `includePhotos` (type: `boolean`): Include all property photo URLs. ## `includeTaxesAndHOA` (type: `boolean`): Include tax history, assessed value, and HOA fee. ## `httpProxy` (type: `string`): Optional HTTP/HTTPS proxy URL. ## Actor input object example ```json { "location": "Miami, FL", "maxSearchResults": 100, "maxDetailsToScrape": 30, "status": [ "for_sale" ], "sort": "newest", "deepScrape": true, "includePriceHistory": true, "includeAgentInfo": true, "includePhotos": true, "includeTaxesAndHOA": true } ```` # 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": "Miami, FL" }; // Run the Actor and wait for it to finish const run = await client.actor("axlymxp/realtor-suite").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": "Miami, FL" } # Run the Actor and wait for it to finish run = client.actor("axlymxp/realtor-suite").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": "Miami, FL" }' | apify call axlymxp/realtor-suite --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=axlymxp/realtor-suite", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Realtor.com Suite — Search + Deep Details", "description": "The complete Realtor.com toolkit: search listings then auto-fetch full details, price history, photos and agent contacts in one run.", "version": "1.0", "x-build-id": "7i1pg0CYaO9iOPRap" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/axlymxp~realtor-suite/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-axlymxp-realtor-suite", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/axlymxp~realtor-suite/runs": { "post": { "operationId": "runs-sync-axlymxp-realtor-suite", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/axlymxp~realtor-suite/run-sync": { "post": { "operationId": "run-sync-axlymxp-realtor-suite", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 + State, ZIP code, or address (e.g. 'Seattle WA', '90210')." }, "maxSearchResults": { "title": "Max Search Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "How many listings to find in the search phase (1–500).", "default": 100 }, "maxDetailsToScrape": { "title": "Max Properties for Deep Details", "minimum": 0, "maximum": 500, "type": "integer", "description": "How many of the top search results get full details scraped. Set to 0 to skip deep scrape.", "default": 30 }, "status": { "title": "Listing Status", "type": "array", "description": "Filter by listing status.", "items": { "type": "string", "enum": [ "for_sale", "for_rent", "sold", "off_market", "ready_to_build", "new_community" ] }, "default": [ "for_sale" ] }, "homeType": { "title": "Home Type", "type": "array", "description": "Filter by home type (home, plan, or spec_home).", "items": { "type": "string", "enum": [ "home", "plan", "spec_home" ] } }, "minPrice": { "title": "Min Price ($)", "type": "integer", "description": "Minimum listing price in dollars." }, "maxPrice": { "title": "Max Price ($)", "type": "integer", "description": "Maximum listing price in dollars." }, "minBeds": { "title": "Min Bedrooms", "type": "integer", "description": "Minimum number of bedrooms." }, "minBaths": { "title": "Min Bathrooms", "type": "number", "description": "Minimum number of bathrooms." }, "sort": { "title": "Sort Order", "enum": [ "relevant", "newest", "price_high", "price_low", "sqft_high", "sqft_low", "open_house_date", "recently_sold" ], "type": "string", "description": "How to sort the search results.", "default": "newest" }, "deepScrape": { "title": "Enable Deep Scraping", "type": "boolean", "description": "Fetch full details (price history, photos, agent, taxes) for top results.", "default": true }, "includePriceHistory": { "title": "Include Price History", "type": "boolean", "description": "Include full price history records in detailed property output.", "default": true }, "includeAgentInfo": { "title": "Include Agent Info", "type": "boolean", "description": "Include listing agent and broker contact information.", "default": true }, "includePhotos": { "title": "Include Photos", "type": "boolean", "description": "Include all property photo URLs.", "default": true }, "includeTaxesAndHOA": { "title": "Include Taxes & HOA", "type": "boolean", "description": "Include tax history, assessed value, and HOA fee.", "default": true }, "httpProxy": { "title": "HTTP Proxy URL", "type": "string", "description": "Optional HTTP/HTTPS 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 } } } } } } } } } } ```