# Homes.com Scraper (`one-api/homes-scraper`) Actor Scrape Homes.com (CoStar) US real estate. Enriched property details by id or URL; search for sale / rent / sold by location, ZIP, coordinates or URL; place autocomplete; and find agents by name with full profiles. - **URL**: https://apify.com/one-api/homes-scraper.md - **Developed by:** [ONE API](https://apify.com/one-api) (community) - **Categories:** Lead generation, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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 ## Homes.com Scraper Scrape **Homes.com** (the **CoStar** US real-estate marketplace). Look up fully enriched property details by key or URL, search homes **for sale / for rent / sold** by location, ZIP code, coordinates + radius, or a homes.com results URL with filters, resolve places via autocomplete, and find real-estate agents by name with full agent profiles. ### What it does - **šŸ  Property Details** ā€” auto-detects each input as a homes.com property key (`/details/byid`) or a `homes.com/property/...//` URL (`/details/byurl`); returns the full **enriched** record: price, beds, baths, square feet, lot size, year built, the full description and its "as of" date, HOA fee, public records (zoning, subdivision, county, parcel, MLS#), highlights, the complete feature list, open houses, the listing agent + phone, and every photo. - **šŸ”Ž Search Listings** ā€” auto-detects a homes.com results URL (`/search/byurl`), a 5-digit ZIP code (`/search/byzip`), or a free-text location (`/search/bylocation`). Deal type, property type, price / beds / baths filters and sort all apply. - **šŸ“ Search by Coordinates** ā€” radius search around a `latitude,longitude` point with an optional radius in **miles** (`/search/bycoordinates`). - **šŸ” Location Autocomplete** ā€” resolve free text (city / state / neighborhood / ZIP) to the homes.com place suggestions used by search (`/autocomplete`). - **šŸ‘¤ Agents** ā€” find agents by name (`/agent/search`), then pull a full agent profile by key or URL (`/agent/details`): office, location, phone, email, license, bio, photo, active-listing count, sold count and rating. ### Output - **One flat dataset row per property, agent, or location suggestion** ā€” sortable, filterable, CSV / Excel / JSON exportable. - Columns: `Mode`, `Input Given`, `ID`, `Title` (address / agent name), `Deal`, `Property Type`, `Status`, `Price`, `Beds`, `Baths`, `Sq Ft`, `Lot Acres`, `Year Built`, `City`, `State`, `ZIP`, `Latitude`, `Longitude`, `HOA`, `Description`, `Agent`, `Agent Phone`, `Agent Email`, `Office`, `License`, `Active Listings`, `Sold Count`, `Rating`, `Photos`, `Cover Photo`, `Listing URL`. - The complete upstream JSON for each row is kept in the `Raw` column for power users. ### Inputs - Each section is independent ā€” fill only the ones you need; multiple inputs per section, one per line. - The Search filters (deal type, property type, price / beds / baths ranges, sort, pages, results-per-page) apply to every location, ZIP and coordinate search. - **Coordinates** entries use the format `latitude,longitude` or `latitude,longitude,radiusMiles`, e.g. `30.267,-97.743,3` (3 miles around downtown Austin). - Range filters use `min:X,max:Y` (either half optional), e.g. price `min:300000,max:900000`, beds `min:3`. ### Pricing - Pay per result: **$3 per 1,000 dataset items** ā€” the same rate on every Apify plan tier. - Apify start fee: $0.00005 per run. ### Notes - Homes.com serves **40 listings per page** ā€” raise *Pages per search* to fetch more. - Deal type is **For Sale**, **For Rent** or **Sold**. - Prices are in **USD ($)**; areas in square feet / acres. - Property details are **enriched** ā€” the description, listing date, public records, HOA, highlights, full feature list and open houses are merged in from multiple homes.com sources. ### Errors - Failures land in the dataset as rows with `Mode = "ERROR"` and the upstream message in `Title` ā€” nothing is silently dropped. # Actor input Schema ## `property_inputs` (type: `array`): Auto-detects each entry and calls the right endpoint: ā€¢ A homes.com property key (e.g. `g71pgh8bn398t`) ā†’ `/details/byid` ā€¢ A `https://www.homes.com/property/...//` URL ā†’ `/details/byurl` Each row = one fully enriched property record: price, beds, baths, square feet, lot size, year built, the full description and its "as of" date, HOA fee, public records (zoning, subdivision, county, parcel, MLS#), highlights, the complete feature list, open houses, listing agent + phone, and every photo. Pull a key from any Search or Agent-listings result. ## `search_inputs` (type: `array`): Auto-detects each entry and routes to the right `/search/*` endpoint: ā€¢ A homes.com results URL, e.g. `https://www.homes.com/austin-tx/` ā†’ `/search/byurl` ā€¢ A 5-digit ZIP code, e.g. `78735` ā†’ `/search/byzip` ā€¢ Anything else (city / state / neighborhood, e.g. `Austin, TX`) ā†’ `/search/bylocation` The filters below apply to every location and ZIP query. Each hit returns one row per listing. ## `coordinate_inputs` (type: `array`): Radius search around a point via `/search/bycoordinates`. One point per line as `latitude,longitude` or `latitude,longitude,radiusMiles` (radius in MILES, default 5). Example: `30.267,-97.743,3` searches 3 miles around downtown Austin. The filters below also apply. One row per listing. ## `searchType` (type: `string`): Listing status to search for. Applies to every Search and Coordinates query. ## `propertyType` (type: `string`): Restrict results to a property type. Leave as Any for all types. ## `priceRange` (type: `string`): Format: `min:300000,max:900000` ā€” or just `min:300000` / `max:900000`. For rentals this filters the monthly price. ## `bedsRange` (type: `string`): Number of bedrooms, e.g. `min:3` or `min:2,max:4`. ## `bathsRange` (type: `string`): Number of bathrooms, e.g. `min:2` or `min:2,max:3` (half-baths allowed). ## `sortOrder` (type: `string`): Result ordering for `/search/bylocation`, `/search/byzip` and `/search/bycoordinates`. ## `pages` (type: `integer`): How many result pages to fetch for each location / ZIP / coordinate / URL search (~40 listings per page). ## `resultCount` (type: `integer`): Listings to return per page for every search (1ā€“40; homes.com serves 40 per page). ## `autocomplete_inputs` (type: `array`): Resolve a city / state / neighborhood / ZIP to the homes.com place suggestions used by Search, via `/autocomplete`. Each suggestion = one row (name, geo key, type, city/state/county, coordinates). ## `agent_search_inputs` (type: `array`): Find real-estate agents by name via `/agent/search`. Each match = one row (name, agent key, company, profile URL). Use a returned key in the Agent details box below for the full profile. ## `agent_detail_inputs` (type: `array`): Full agent profile via `/agent/details`. Auto-detects each entry: ā€¢ An agent key (e.g. `w9enbmj`) ā†’ resolved by id ā€¢ A `https://www.homes.com/real-estate-agents/...//` URL ā†’ resolved by url Each row = office, city/state, phone, email, license, bio, photo, active-listing count, sold count and rating when present. ## Actor input object example ```json { "property_inputs": [ "g71pgh8bn398t", "https://www.homes.com/property/1118-spur-st-austin-tx-unit-d/y9rhh9k8bg9xc/" ], "search_inputs": [ "Austin, TX" ], "coordinate_inputs": [], "searchType": "For_Sale", "propertyType": "", "priceRange": "", "bedsRange": "", "bathsRange": "", "sortOrder": "Recommended", "pages": 1, "resultCount": 20, "autocomplete_inputs": [], "agent_search_inputs": [], "agent_detail_inputs": [] } ```` # 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 = { "property_inputs": [ "g71pgh8bn398t", "https://www.homes.com/property/1118-spur-st-austin-tx-unit-d/y9rhh9k8bg9xc/" ], "search_inputs": [ "Austin, TX" ], "coordinate_inputs": [], "autocomplete_inputs": [], "agent_search_inputs": [], "agent_detail_inputs": [] }; // Run the Actor and wait for it to finish const run = await client.actor("one-api/homes-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`šŸ’¾ 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); }); // šŸ“š Want to learn more šŸ“–? Go to ā†’ 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 = { "property_inputs": [ "g71pgh8bn398t", "https://www.homes.com/property/1118-spur-st-austin-tx-unit-d/y9rhh9k8bg9xc/", ], "search_inputs": ["Austin, TX"], "coordinate_inputs": [], "autocomplete_inputs": [], "agent_search_inputs": [], "agent_detail_inputs": [], } # Run the Actor and wait for it to finish run = client.actor("one-api/homes-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("šŸ’¾ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # šŸ“š Want to learn more šŸ“–? Go to ā†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "property_inputs": [ "g71pgh8bn398t", "https://www.homes.com/property/1118-spur-st-austin-tx-unit-d/y9rhh9k8bg9xc/" ], "search_inputs": [ "Austin, TX" ], "coordinate_inputs": [], "autocomplete_inputs": [], "agent_search_inputs": [], "agent_detail_inputs": [] }' | apify call one-api/homes-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=one-api/homes-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Homes.com Scraper", "description": "Scrape Homes.com (CoStar) US real estate. Enriched property details by id or URL; search for sale / rent / sold by location, ZIP, coordinates or URL; place autocomplete; and find agents by name with full profiles.", "version": "1.0", "x-build-id": "wnDT7T4ZeU3LYzOOz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/one-api~homes-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-one-api-homes-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/one-api~homes-scraper/runs": { "post": { "operationId": "runs-sync-one-api-homes-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/one-api~homes-scraper/run-sync": { "post": { "operationId": "run-sync-one-api-homes-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", "properties": { "property_inputs": { "title": "Property id or Homes.com URL (one per line)", "type": "array", "description": "Auto-detects each entry and calls the right endpoint:\nā€¢ A homes.com property key (e.g. `g71pgh8bn398t`) ā†’ `/details/byid`\nā€¢ A `https://www.homes.com/property/...//` URL ā†’ `/details/byurl`\n\nEach row = one fully enriched property record: price, beds, baths, square feet, lot size, year built, the full description and its \"as of\" date, HOA fee, public records (zoning, subdivision, county, parcel, MLS#), highlights, the complete feature list, open houses, listing agent + phone, and every photo. Pull a key from any Search or Agent-listings result.", "items": { "type": "string" } }, "search_inputs": { "title": "Location, ZIP code, or Homes.com results URL (one per line)", "type": "array", "description": "Auto-detects each entry and routes to the right `/search/*` endpoint:\nā€¢ A homes.com results URL, e.g. `https://www.homes.com/austin-tx/` ā†’ `/search/byurl`\nā€¢ A 5-digit ZIP code, e.g. `78735` ā†’ `/search/byzip`\nā€¢ Anything else (city / state / neighborhood, e.g. `Austin, TX`) ā†’ `/search/bylocation`\n\nThe filters below apply to every location and ZIP query. Each hit returns one row per listing.", "items": { "type": "string" } }, "coordinate_inputs": { "title": "Coordinates: lat,lon or lat,lon,radiusMiles (one per line)", "type": "array", "description": "Radius search around a point via `/search/bycoordinates`. One point per line as `latitude,longitude` or `latitude,longitude,radiusMiles` (radius in MILES, default 5). Example: `30.267,-97.743,3` searches 3 miles around downtown Austin. The filters below also apply. One row per listing.", "items": { "type": "string" } }, "searchType": { "title": "Deal type", "enum": [ "For_Sale", "For_Rent", "Sold" ], "type": "string", "description": "Listing status to search for. Applies to every Search and Coordinates query.", "default": "For_Sale" }, "propertyType": { "title": "Property type", "enum": [ "", "house", "townhouse", "condo", "multifamily", "land", "mobile", "commercial", "coop", "other" ], "type": "string", "description": "Restrict results to a property type. Leave as Any for all types.", "default": "" }, "priceRange": { "title": "Price range ($)", "type": "string", "description": "Format: `min:300000,max:900000` ā€” or just `min:300000` / `max:900000`. For rentals this filters the monthly price.", "default": "" }, "bedsRange": { "title": "Beds", "type": "string", "description": "Number of bedrooms, e.g. `min:3` or `min:2,max:4`.", "default": "" }, "bathsRange": { "title": "Baths", "type": "string", "description": "Number of bathrooms, e.g. `min:2` or `min:2,max:3` (half-baths allowed).", "default": "" }, "sortOrder": { "title": "Sort order", "enum": [ "Recommended", "Price_Low_to_High", "Price_High_to_Low", "Most_Homes" ], "type": "string", "description": "Result ordering for `/search/bylocation`, `/search/byzip` and `/search/bycoordinates`.", "default": "Recommended" }, "pages": { "title": "Pages per search", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many result pages to fetch for each location / ZIP / coordinate / URL search (~40 listings per page).", "default": 1 }, "resultCount": { "title": "Results per page", "minimum": 1, "maximum": 40, "type": "integer", "description": "Listings to return per page for every search (1ā€“40; homes.com serves 40 per page).", "default": 20 }, "autocomplete_inputs": { "title": "Location text to resolve (one per line)", "type": "array", "description": "Resolve a city / state / neighborhood / ZIP to the homes.com place suggestions used by Search, via `/autocomplete`. Each suggestion = one row (name, geo key, type, city/state/county, coordinates).", "items": { "type": "string" } }, "agent_search_inputs": { "title": "Agent name to search (one per line)", "type": "array", "description": "Find real-estate agents by name via `/agent/search`. Each match = one row (name, agent key, company, profile URL). Use a returned key in the Agent details box below for the full profile.", "items": { "type": "string" } }, "agent_detail_inputs": { "title": "Agent key or Homes.com agent URL (one per line)", "type": "array", "description": "Full agent profile via `/agent/details`. Auto-detects each entry:\nā€¢ An agent key (e.g. `w9enbmj`) ā†’ resolved by id\nā€¢ A `https://www.homes.com/real-estate-agents/...//` URL ā†’ resolved by url\n\nEach row = office, city/state, phone, email, license, bio, photo, active-listing count, sold count and rating when present.", "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 } } } } } } } } } } ```