# Remote Investor 3d Homes List (`kawsar/remote-investor-3d-homes-list`) Actor Remote investor tool for extracting properties with verified 3D Matterport tours. Confidently perform sight-unseen acquisitions by accessing immersive virtual walkthrough inventory instantly. - **URL**: https://apify.com/kawsar/remote-investor-3d-homes-list.md - **Developed by:** [Kawsar](https://apify.com/kawsar) (community) - **Categories:** Real estate, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Remote Investor 3D Homes List: Buy Sight-Unseen with Confidence In a globalized real estate market, the best opportunities often lie thousands of miles away. But for the remote or international investor, the biggest hurdle isn't the distance—it's the uncertainty. The **Remote Investor 3D Homes List** is a specialized scraping engine designed to eliminate that uncertainty. It exclusively identifies and extracts property listings that feature high-fidelity **3D Matterport tours** and interactive virtual walk-throughs. By filtering out properties that only offer flat 2D photography, this actor provides a curated pipeline of inventory that you can virtually "walk through" from your smartphone, a VR headset, or an office desk anywhere in the world. Stop guessing about the floor plan or the condition of the drywall. Start building a remote portfolio based on a "sight-unseen" strategy that actually works. --- ### Why 3D Tours are the "Gold Standard" for Remote Buyers - **Zero Variance Inspection**: A Matterport scan doesn't lie. It captures every corner, ceiling, and built-in, providing a level of transparency that standard listing photos often omit. - **Accurate Floor Plan Modeling**: Remote investors can use 3D tours to verify the flow of a house, ensuring it meets their specific rental or resale criteria without ever boarding a plane. - **Higher Tenant & Buyer Engagement**: Properties that offer 3D tours see significantly higher engagement rates. If you're looking to buy, rehab, and flip, starting with a property that already has professional 3D infrastructure is a massive head start. - **International Scalability**: Manage acquisitions across three different states simultaneously. This tool lets your acquisition team evaluate dozens of high-quality homes daily with 100% visual confidence. --- ### Target Personas & Core Use Cases - **International & Out-of-State Investors**: Confidently submit cash offers from London, Hong Kong, or New York on properties in Florida or California. - **Virtual Wholesalers**: Identify listings with pre-existing high-end marketing assets. Wholesaling a contract is 10x easier when you can send your end-buyer a fully immersive 3D tour link. - **Remote Property Management Firms**: Audit potential portfolio additions for clients. Verify that a property is "rent-ready" based on a virtual walkthrough before recommending an acquisition. - **Vacation Home Searchers**: Find your dream second home without the "vacation home scouting trip" expense. Experience the house before you see the keys. --- ### How it works This Actor utilizes proprietary backend metadata filters to scan the database for the `has_tour` and `matterport` flags. Unlike generic search tools that bury these features in small icons, this actor prioritizes them as the primary extraction criteria. If the property doesn't allow a virtual walkthrough, it doesn't make the list. It targets properties with statuses: - **For Sale**: Active inventory ready for immediate negotiation. - **Ready to Build**: New construction opportunities with digital walkthroughs often available. --- ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `postal_code` | string | `91601` | US ZIP code. The most precise way to hunt for deals in a specific neighborhood. | | `state_code` | string | — | 2-letter US state code. Run expansive scans for state-wide investment scouting. | | `city` | string | — | City-level analysis. Ideal for comparing urban market inventory. | | `propertyType` | array | — | Segment by asset class: `single_family`, `condo_townhome`, `apartment`. | | `list_price_min` / `max` | integer | — | Align your search strictly with your acquisition budget. | | `beds_min` / `max` | integer | — | Filter by family-sizing or ROI-focused unit types. | | `maxItems` | integer | `5000` | Total properties to extract per run. | ### Example: The "Sight-Unseen" Search ```json { "state_code": "CA", "city": "Los Angeles", "propertyType": ["single_family"], "list_price_max": 1500000, "maxItems": 500, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" } } ```` *** ### Output Fields Explained Every property record is delivered with direct links to the 3D infrastructure, making evaluation a one-click process for you or your team. | Field | Type | Connectivity Significance | |-------|------|---------------------------| | `property_id` | string | The master key for your internal deal-tracking database. | | `list_price` | integer | The critical metric for your CAP rate calculations. | | `matterport` | boolean | Verified flag confirming a Matterport scan is available. | | `virtual_tours` | array | Direct URLs to immersive walkthroughs. Example: `["https://my.matterport.com/show/?m=XXXXXXXXX"]` | | `permalink` | string | Direct link to the full listing for final verification. | | `latitude` / `longitude` | number | Map the property location relative to local amenities. | | `address_line` / `city` / `state` | string | Normalized addressing for easy CRM ingestion. | | `advertiser_1_name` / `email` / `phones` | string | Immediate access to the listing representative to start negotiations. | | `scrapedAt` | ISO 8601 | Run timestamp for tracking inventory freshness. | *** ### The Remote Acquisition Edge Success in remote real estate isn't about being first—it's about being the most informed. By building your pipeline around **high-fidelity 3D data**, you remove the "friction of distance" and act with the same confidence as a local buyer. #### Stop flying to see houses. Start scaling your portfolio with the Remote Investor 3D Homes List today. # Actor input Schema ## `postal_code` (type: `string`): Filter properties exactly by a 5-digit US ZIP or postal code. This is the most reliable way to target a specific neighborhood. Example: '90210' for Beverly Hills, CA. ## `state_code` (type: `string`): Filter properties broadly by a 2-letter US state code. Best used in combination with other filters. Example: 'CA' for California, 'NY' for New York. ## `city` (type: `string`): Filter properties by the exact city name. Usually best to combine with state\_code. Example: 'Los Angeles' or 'Austin'. ## `street_name` (type: `string`): Target properties located on a specific street name. Example: 'Sunset Blvd' or 'Main St'. ## `address` (type: `string`): Filter for a very specific property address line. Example: '123 Fake Street'. ## `propertyType` (type: `array`): Filter the results by specific property types. Supported options include: apartment, condo\_townhome, condo\_townhome\_rowhome\_coop, condo, condos, single\_family, multi\_family, mobile, land, farm, other. ## `keywords` (type: `array`): Filter properties by specific amenities or descriptive features. Options include: basement, carport, central\_air, den, hardwood\_floors, pool, waterfront, ocean\_view, fireplace. ## `beds_min` (type: `integer`): Minimum threshold for the number of bedrooms. ## `beds_max` (type: `integer`): Maximum threshold for the number of bedrooms. ## `baths_min` (type: `integer`): Minimum threshold for the number of bathrooms (including half-baths). ## `baths_max` (type: `integer`): Maximum threshold for the number of bathrooms. ## `list_price_min` (type: `integer`): Minimum active asking list price in USD. ## `list_price_max` (type: `integer`): Maximum active asking list price in USD. ## `sold_price_min` (type: `integer`): Minimum sold price in USD. ## `sold_price_max` (type: `integer`): Maximum sold price in USD. ## `year_built_min` (type: `integer`): Filter by the year the construction was completed. ## `year_built_max` (type: `integer`): Set a maximum year of completion to target historic or older builds. ## `hoa_fee_max` (type: `integer`): Maximum Homeowners Association monthly fee allowed. ## `limit` (type: `integer`): The number of listings fetched in a single API call. ## `offset` (type: `integer`): The exact positional index the scraper starts at. ## `maxItems` (type: `integer`): The hard cap on total listings the scraper will collect across all paginated API calls. ## `timeoutSecs` (type: `integer`): If the scraper surpasses this runtime duration, it will safely halt and exit. ## `requestTimeoutSecs` (type: `integer`): How long the scraper waits for the server to respond per API query slice. ## `proxyConfiguration` (type: `object`): Select proxies to obscure IP and evade blocking. Note: USA datacenter proxy is set as the default. ## Actor input object example ```json { "postal_code": "91601", "state_code": "CA", "city": "Los Angeles", "propertyType": [ "condo_townhome", "single_family" ], "keywords": [ "basement", "pool" ], "beds_min": 1, "beds_max": 5, "baths_min": 1, "list_price_min": 200000, "list_price_max": 900000, "year_built_min": 2017, "year_built_max": 2023, "limit": 200, "offset": 0, "maxItems": 5000, "timeoutSecs": 300, "requestTimeoutSecs": 30, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" } } ``` # 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 = { "postal_code": "91601", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("kawsar/remote-investor-3d-homes-list").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 = { "postal_code": "91601", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("kawsar/remote-investor-3d-homes-list").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 '{ "postal_code": "91601", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" } }' | apify call kawsar/remote-investor-3d-homes-list --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kawsar/remote-investor-3d-homes-list", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Remote Investor 3d Homes List", "description": "Remote investor tool for extracting properties with verified 3D Matterport tours. Confidently perform sight-unseen acquisitions by accessing immersive virtual walkthrough inventory instantly.", "version": "0.0", "x-build-id": "XCugai3b4vdsL5d8k" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kawsar~remote-investor-3d-homes-list/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kawsar-remote-investor-3d-homes-list", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/kawsar~remote-investor-3d-homes-list/runs": { "post": { "operationId": "runs-sync-kawsar-remote-investor-3d-homes-list", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/kawsar~remote-investor-3d-homes-list/run-sync": { "post": { "operationId": "run-sync-kawsar-remote-investor-3d-homes-list", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "postal_code": { "title": "Postal code", "type": "string", "description": "Filter properties exactly by a 5-digit US ZIP or postal code. This is the most reliable way to target a specific neighborhood. Example: '90210' for Beverly Hills, CA." }, "state_code": { "title": "State code", "type": "string", "description": "Filter properties broadly by a 2-letter US state code. Best used in combination with other filters. Example: 'CA' for California, 'NY' for New York." }, "city": { "title": "City", "type": "string", "description": "Filter properties by the exact city name. Usually best to combine with state_code. Example: 'Los Angeles' or 'Austin'." }, "street_name": { "title": "Street name", "type": "string", "description": "Target properties located on a specific street name. Example: 'Sunset Blvd' or 'Main St'." }, "address": { "title": "Address", "type": "string", "description": "Filter for a very specific property address line. Example: '123 Fake Street'." }, "propertyType": { "title": "Property type", "type": "array", "description": "Filter the results by specific property types. Supported options include: apartment, condo_townhome, condo_townhome_rowhome_coop, condo, condos, single_family, multi_family, mobile, land, farm, other.", "items": { "type": "string" } }, "keywords": { "title": "Feature keywords", "type": "array", "description": "Filter properties by specific amenities or descriptive features. Options include: basement, carport, central_air, den, hardwood_floors, pool, waterfront, ocean_view, fireplace.", "items": { "type": "string" } }, "beds_min": { "title": "Min bedrooms", "type": "integer", "description": "Minimum threshold for the number of bedrooms." }, "beds_max": { "title": "Max bedrooms", "type": "integer", "description": "Maximum threshold for the number of bedrooms." }, "baths_min": { "title": "Min bathrooms", "type": "integer", "description": "Minimum threshold for the number of bathrooms (including half-baths)." }, "baths_max": { "title": "Max bathrooms", "type": "integer", "description": "Maximum threshold for the number of bathrooms." }, "list_price_min": { "title": "Min list price", "type": "integer", "description": "Minimum active asking list price in USD." }, "list_price_max": { "title": "Max list price", "type": "integer", "description": "Maximum active asking list price in USD." }, "sold_price_min": { "title": "Min sold price", "type": "integer", "description": "Minimum sold price in USD." }, "sold_price_max": { "title": "Max sold price", "type": "integer", "description": "Maximum sold price in USD." }, "year_built_min": { "title": "Year built from", "type": "integer", "description": "Filter by the year the construction was completed." }, "year_built_max": { "title": "Year built to", "type": "integer", "description": "Set a maximum year of completion to target historic or older builds." }, "hoa_fee_max": { "title": "Max HOA fee", "type": "integer", "description": "Maximum Homeowners Association monthly fee allowed." }, "limit": { "title": "Results per pagination page", "minimum": 1, "maximum": 200, "type": "integer", "description": "The number of listings fetched in a single API call.", "default": 200 }, "offset": { "title": "Initial page offset", "minimum": 0, "type": "integer", "description": "The exact positional index the scraper starts at.", "default": 0 }, "maxItems": { "title": "Maximum total results to scrape", "minimum": 1, "maximum": 5000, "type": "integer", "description": "The hard cap on total listings the scraper will collect across all paginated API calls.", "default": 5000 }, "timeoutSecs": { "title": "Overall actor timeout (seconds)", "minimum": 30, "maximum": 3600, "type": "integer", "description": "If the scraper surpasses this runtime duration, it will safely halt and exit.", "default": 300 }, "requestTimeoutSecs": { "title": "Per-request timeout (seconds)", "minimum": 5, "maximum": 120, "type": "integer", "description": "How long the scraper waits for the server to respond per API query slice.", "default": 30 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to obscure IP and evade blocking. Note: USA datacenter proxy is set as the default." } } }, "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 } } } } } } } } } } ```