Description

Extract comprehensive real estate data from Housesigma URLs with this Apify Actor. Scrape pricing, specs, locations, and status for Canadian properties effortlessly. Features high accuracy, scalability, JSON output, and no-code interface—ideal for market analysis, investments, and automation....

---

PART 1: README.md

Housesigma House Url Parser Spider

The Housesigma House Url Parser Spider is a powerful Apify Actor designed to extract comprehensive real estate data from Housesigma property listing URLs. It efficiently scrapes detailed information such as pricing, property specifications, location coordinates, and listing status, enabling users to gather actionable insights for real estate analysis. This tool is ideal for professionals and businesses seeking reliable, structured data from Canadian property markets without manual effort.

Features

• Comprehensive Data Extraction: Parses key details including property type, bedrooms, bathrooms, pricing, parking, land size, and map coordinates from Housesigma URLs.
• High Accuracy and Reliability: Leverages robust scraping techniques to ensure data integrity and minimize errors, with built-in validation for extracted fields.
• Fast and Scalable: Processes multiple URLs concurrently, supporting batch operations for efficient large-scale data collection.
• Structured JSON Output: Delivers clean, machine-readable data in JSON format, perfect for integration with databases, analytics tools, or APIs.
• Flexible Input Handling: Accepts a list of URLs, allowing customization for specific listings or regions.
• Real-Time Status Monitoring: Provides live updates on scraping progress, including success rates and any encountered issues.
• No Coding Required: User-friendly interface on Apify Store, making it accessible to non-technical users for quick deployment.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	A list of Housesigma property listing URLs to scrape. Each URL must be a valid HTTP/HTTPS link pointing to a specific house page. Minimum of 1 URL required.	["https://housesigma.com/on/cambridge-real-estate/743-parkview-crescent/home/jAXw7QwQApzYQOzg?id_listing=1DBW7RrnnML7qlAp", "https://housesigma.com/on/markham-real-estate/261-23-cox-boulevard/home/N0A9X3j21WE3vgxV?id_listing=J6Em7b929BjyXBeq"]

Example Usage

To run the Actor, provide input in JSON format like this:

{
  "Urls": [
    "https://housesigma.com/on/cambridge-real-estate/743-parkview-crescent/home/jAXw7QwQApzYQOzg?id_listing=1DBW7RrnnML7qlAp",
    "https://housesigma.com/on/markham-real-estate/261-23-cox-boulevard/home/N0A9X3j21WE3vgxV?id_listing=J6Em7b929BjyXBeq"
  ]
}

Example output in JSON format:

[
  {
    "id_listing": "K8OgYBzppgxYJmG2",
    "ml_num": "W12746816",
    "hash_id": "90x3WqQf5Lz2aykg",
    "seo_suffix": "1268-Kestell-Boulevard-Oakville-W12746816",
    "photo_url": "https://cache17.housesigma.com/file/pix-treb/W12746816/25605_1.jpg?85f65efa",
    "house_type_name": "Detached",
    "address": "1268 Kestell Boulevard",
    "community_name": "Joshua Creek",
    "municipality_name": "Oakville",
    "bedroom": 5,
    "bedroom_plus": 1,
    "washroom": 5,
    "price": 2298000,
    "estimate_price": 2189300,
    "estimate_rent": 4996,
    "list_days": null,
    "parking": {
      "total": 2,
      "garage": 2,
      "parking": 3,
      "text": "Attached 2 garage, Private 3 parking",
      "garage_type": "Attached",
      "parking_type": "Private"
    },
    "land": {
      "front": 39,
      "depth": 110,
      "unit": "feet",
      "text": "39 x 110 feet",
      "irregular": null
    },
    "house_area": {
      "area": "2500-3000",
      "unit": "feet²",
      "estimate": 25003000,
      "area_note": null
    },
    "map": {
      "lat": 43.49648,
      "lon": -79.70301
    },
    "list_status": {
      "public": 1,
      "live": 1,
      "sold": 0,
      "s_r": "Sale",
      "text": "For Sale",
      "text_full": "For Sale",
      "status": "A",
      "agent_available": true,
      "premium": 1,
      "archive": 0,
      "is_public_compliant": false,
      "feature": null,
      "precon": null
    },
    "actor_id": "OyniQYRecIwjG142U",
    "run_id": "9d5NY5a7uFcK58vVo"
  },
  {
    "id_listing": "J6Em7b929BjyXBeq",
    "ml_num": "N12749606",
    "hash_id": "jon781aHvWa0Q3Ob",
    "seo_suffix": "23-Cox-Boulevard-261-Markham-N12749606",
    "photo_url": "https://cache17.housesigma.com/file/pix-treb/N12749606/fc34a_1.jpg?689212cd",
    "house_type_name": "Condo Apartment",
    "address": "Unit 261 - 23 Cox Boulevard",
    "community_name": "Unionville",
    "municipality_name": "Markham",
    "bedroom": 2,
    "bedroom_plus": 1,
    "washroom": 2,
    "price": 728000,
    "estimate_price": 706000,
    "estimate_rent": 3043,
    "list_days": null,
    "parking": {
      "total": 1,
      "garage": 1,
      "parking": 0,
      "text": "Underground 1 parking",
      "garage_type": "Underground",
      "parking_type": null
    },
    "land": null,
    "house_area": {
      "area": "1000-1199",
      "unit": "feet²",
      "estimate": 10001199,
      "area_note": null
    },
    "map": {
      "lat": 43.85413,
      "lon": -79.34095
    },
    "list_status": {
      "public": 1,
      "live": 1,
      "sold": 0,
      "s_r": "Sale",
      "text": "For Sale",
      "text_full": "For Sale",
      "status": "A",
      "agent_available": true,
      "premium": 1,
      "archive": 0,
      "is_public_compliant": false,
      "feature": null,
      "precon": null
    },
    "actor_id": "OyniQYRecIwjG142U",
    "run_id": "9d5NY5a7uFcK58vVo"
  }
]

Use Cases

• Market Research and Analysis: Gather data on property prices, sizes, and locations to identify trends in Canadian real estate markets.
• Competitive Intelligence: Monitor competitors' listings or track pricing strategies in specific neighborhoods.
• Price Monitoring: Set up automated checks on property values for investment portfolios or rental yield calculations.
• Content Aggregation: Compile structured data for real estate blogs, reports, or databases.
• Academic Research: Collect anonymized property data for studies on housing affordability or urban development.
• Business Automation: Integrate with CRM systems or dashboards for real-time property alerts and decision-making.

Installation and Usage

1. Search for "Housesigma House Url 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 Actor outputs data in JSON array format, with each object representing a scraped property listing. Key fields include unique identifiers (e.g., id_listing, ml_num), property details (e.g., address, bedroom, price), location data (e.g., map with latitude/longitude), and status information (e.g., list_status indicating if it's for sale). Nested objects like parking and land provide additional specifications. This structure ensures easy parsing and integration into downstream applications.

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!

---

PART 2: Concise Description