# Nestoria Properties Spider (`getdataforme/nestoria-properties-spider`) Actor The Nestoria Properties Spider is a powerful Apify Actor that scrapes comprehensive property listings from Nestoria, extracting details like descriptions, images, locations, amenities, and geospatial data.... - **URL**: https://apify.com/getdataforme/nestoria-properties-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **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 ### Description The Nestoria Properties Spider is a powerful Apify Actor that scrapes comprehensive property listings from Nestoria, extracting details like descriptions, images, locations, amenities, and geospatial data.... --- ## Nestoria Properties Spider ### Introduction The Nestoria Properties Spider is a powerful Apify Actor designed to scrape and extract detailed property listings from Nestoria, a popular real estate platform. It automates the collection of rental and sale properties, providing structured data for analysis, research, or integration into other systems. This tool ensures efficient, reliable data extraction to support real estate professionals, analysts, and businesses in making informed decisions. ### Features - **Comprehensive Data Extraction**: Captures key details like listing ID, type, name, description, images, location coordinates, and amenities from Nestoria property pages. - **Flexible URL Input**: Supports multiple starting URLs for targeted scraping of specific regions or property types. - **High-Performance Scraping**: Built with robust web scraping technology to handle large volumes of data quickly and efficiently. - **Structured JSON Output**: Delivers clean, machine-readable data perfect for downstream processing or storage. - **Reliable and Scalable**: Designed for stability, with error handling to manage dynamic web changes and rate limits. - **Geospatial Data**: Includes latitude, longitude, and postal codes for mapping and location-based analysis. - **Easy Integration**: Seamlessly integrates with Apify's ecosystem for scheduling, monitoring, and exporting results. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Urls | array | No | An array of URLs to start scraping from. Each URL should point to a Nestoria property listing page. At least one URL is required to run the Actor. | ["https://www.nestoria.us/new-york-city/apartment/rent"] | ### Example Usage To run the Nestoria Properties Spider, provide input in JSON format like this: ```json { "Urls": [ "https://www.nestoria.us/new-york-city/apartment/rent" ] } ```` The Actor will output a JSON array of property listings, such as: ```json [ { "listing_id": "https://www.nestoria.us/new-york-city/apartment/rent#listing-nestoria-US-9160005775484452899", "position": 1, "type": "House", "name": "North Bergen, North Bergen township Hudson County New Jersey, Hudson County, New Jersey, USA", "description": "Room for rent in nice quiet town.! Home is shared with three other individuals. Two females and one male. Pets are in the home as well. Easy transport", "image": "https://images.nestoria.com/v1/eyJrZXkiOiJyb29tX2Zvcl9yZW50X2luX3dvbmRlcmZ1bF9hcmVhXzkxNjAwMDU3NzU0ODQ0MDM2NjguanBnIiwiYnJhbmQiOiJuZXN0b3JpYSIsImNvdW50cnkiOiJVUyIsIndpZHRoIjozNjAsImhlaWdodCI6MjcwfQ==", "address_locality": "North Bergen, North Bergen township Hudson County New Jersey", "postal_code": "07047", "country": "US", "latitude": "40.804266", "longitude": "-74.012084", "amenities": [ "Garden" ], "actor_id": "4Z0NiobfW977dCDnZ", "run_id": "uZzsfk5vvSaUKUJeU" }, { "listing_id": "https://www.nestoria.us/new-york-city/apartment/rent#listing-nestoria-US-9060002775053101443", "position": 2, "type": "House", "name": "Indian Square, Jersey City, Hudson County New Jersey, Hudson County, New Jersey, USA", "description": "Luxury Entire 2B2B Suite @ Journal Squared III Looking for the ultimate convenience and luxury for your summer stay? This is a fully furnished, entire", "image": "https://images.nestoria.com/v1/eyJrZXkiOiJlbnRpcmVfMmIyYl9ob21lX3dpdGhfZWFzeV9ueWNfYWNjZXNzXzkwNjAwMDI3NzUwNTMwNTIyMTIuanBnIiwiYnJhbmQiOiJuZXN0b3JpYSIsImNvdW50cnkiOiJVUyIsIndpZHRoIjozNjAsImhlaWdodCI6MjcwfQ==", "address_locality": "Indian Square", "postal_code": "07306", "country": "US", "latitude": "40.735662", "longitude": "-74.065017", "actor_id": "4Z0NiobfW977dCDnZ", "run_id": "uZzsfk5vvSaUKUJeU" }, { "listing_id": "https://www.nestoria.us/new-york-city/apartment/rent#listing-nestoria-US-8910002774016317222", "position": 4, "type": "House", "name": "Jersey City, Hudson County New Jersey, Hudson County, New Jersey, USA", "description": "The place is close to Newport path station, there is two roomates(one is Chinese student and the other is Chinese taipe student) the amenities include", "image": "https://images.nestoria.com/v1/eyJrZXkiOiJuZXdwb3J0X2FxdWFibHVfc2Vjb25kYXJ5X2JlZHJvb21fODkxMDAwMjc3NDAxNjI2Nzk5MS5qcGciLCJicmFuZCI6Im5lc3RvcmlhIiwiY291bnRyeSI6IlVTIiwid2lkdGgiOjM2MCwiaGVpZ2h0IjoyNzB9", "address_locality": "Jersey City, Hudson County New Jersey", "postal_code": "07310", "country": "US", "latitude": "40.715304", "longitude": "-74.068731", "actor_id": "4Z0NiobfW977dCDnZ", "run_id": "uZzsfk5vvSaUKUJeU" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data on property trends, pricing, and availability in specific regions for real estate reports. - **Competitive Intelligence**: Monitor competitor listings to understand market positioning and pricing strategies. - **Price Monitoring**: Track rental or sale prices over time to identify fluctuations and opportunities. - **Content Aggregation**: Collect property details for websites, apps, or databases focused on real estate. - **Academic Research**: Support studies on housing markets, urban development, or socioeconomic factors. - **Business Automation**: Integrate scraped data into CRM systems or automated workflows for lead generation. ### Installation and Usage 1. Search for "Nestoria Properties 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 Actor outputs a JSON array of objects, each representing a property listing. Key fields include: - `listing_id`: Unique URL identifier for the listing. - `position`: Numerical order in the scraped results. - `type`: Property type (e.g., "House"). - `name`: Full property name and location. - `description`: Detailed description of the property. - `image`: URL to the property's main image. - `address_locality`, `postal_code`, `country`: Location details. - `latitude`, `longitude`: Geospatial coordinates. - `amenities`: Array of available amenities. - `actor_id`, `run_id`: Metadata for the Apify run. This structured format ensures easy parsing and integration. ### 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.nestoria.us/new-york-city/apartment/rent" ] } ``` # 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/nestoria-properties-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/nestoria-properties-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/nestoria-properties-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/nestoria-properties-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Nestoria Properties Spider", "description": "The Nestoria Properties Spider is a powerful Apify Actor that scrapes comprehensive property listings from Nestoria, extracting details like descriptions, images, locations, amenities, and geospatial data....", "version": "0.0", "x-build-id": "T1zMrzMcuDPhq2pVM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~nestoria-properties-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-nestoria-properties-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~nestoria-properties-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-nestoria-properties-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~nestoria-properties-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-nestoria-properties-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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.nestoria.us/new-york-city/apartment/rent" ], "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 } } } } } } } } } } ```