Squareyards Property Scraper: Extract Real Estate Listings Instantly

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Understanding Squareyards.com

Squareyards.com is India's leading online real estate platform, hosting hundreds of thousands of property listings across cities, neighborhoods, and price ranges. Whether you're looking for apartments, villas, or commercial spaces, Squareyards aggregates supply-side data with search sophistication. Manually reviewing listings page-by-page is inefficient—the Squareyards Property Scraper automates collection, delivering structured property data ready for analysis, investment decisions, or market research.

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Overview

The Squareyards Property Scraper extracts comprehensive property listings from Squareyards search result pages, converting each listing into a structured record with 14 key fields. It is ideal for:

• Real estate investors building property databases across regions
• Market researchers analyzing pricing trends and supply patterns
• Aggregator platforms feeding property data into custom portals
• Real estate agents tracking competitor listings and local inventory
• Data analysts studying housing supply and demand dynamics

Key advantages include high-volume extraction (up to 200 items per URL), fault tolerance via ignore_url_failures, and detailed property attributes covering location, size, and media assets.

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Input Format

The scraper accepts a JSON configuration object with three main parameters:

{
  "urls": [
    "https://www.squareyards.com/sale/property-for-sale-in-delhi?page=2"
  ],
  "max_items_per_url": 200,
  "ignore_url_failures": true
}

Field	Type	Description
urls	Array of strings	Squareyards property list page URLs. Can be sale, rent, or commercial listings. One URL per entry.
max_items_per_url	Integer	Maximum properties to extract per URL (default: 100, max: 200). Higher values require longer processing time.
ignore_url_failures	Boolean	If true, the scraper continues even if some URLs fail. If false, a single URL failure stops the entire run.

Tip: Use pagination URLs (e.g., ?page=2, ?page=3) to scrape multiple result pages sequentially.

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Output Format

Example output snippet:

{
  "address": {
    "@type": "PostalAddress",
    "address_country": "India",
    "street_address": "Safdarjung Enclave",
    "address_locality": "Delhi"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 28.564618,
    "longitude": 77.194535
  },
  "name": "6 BHK Builder Floor for Sale in Safdarjung Enclave, Delhi",
  "description": "Safderjung Encalve A1 Block New Builder Floor Basement + Ground floor 3BHK 215 Sq.Ysrds Lift , STILT,3 Car Parking for sale Dimand Rs 8.5 Cr. Negotiable ",
  "number_of_rooms": "6",
  "number_of_bathrooms_total": "4",
  "floor_size": "430 sq.ft.",
  "floorlevel": null,
  "url": "https://www.squareyards.com/resale-6-bhk-servant-room-basement-430-sq-ft-builder-floor-in-safdarjung-enclave/10446440",
  "image": "https://img.squareyards.com/secondaryPortal/optImages/IN_639196071964018772-1407260626362636.jpg",
  "sku": null,
  "brand": null,
  "mpn": null,
  "offers": null,
  "from_url": "https://www.squareyards.com/sale/property-for-sale-in-delhi"
}

Each scraped property returns a detailed record with 14 fields:

Location & Identification

Field	Meaning
Address	Full postal address of the property
Geo	Geographic coordinates (latitude/longitude) or location metadata
Name	Property name or title as listed on Squareyards
URL	Direct link to the property detail page on Squareyards

Property Features

Field	Meaning
Number of Rooms	Bedroom count (e.g., 1 BHK, 3 BHK)
Number of Bathrooms Total	Total bathroom count in the property
Floor Size	Carpet/built-up area in square feet or square meters
Floor Level	Which floor the unit is on (e.g., Ground, 5th, Penthouse)

Description & Content

Field	Meaning
Description	Full property description including amenities, age, condition, and highlights
Image	Primary property image URL

Product Metadata

Field	Meaning
SKU	Stock-keeping unit or unique property identifier used in data feeds
Brand	Developer/builder name
MPN	Manufacturer/project number for structured reference

Commercial Terms

Field	Meaning
Offers	Active promotions, price reductions, or special terms

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How to Use

1. Identify target URLs — Navigate to Squareyards.com, filter by city/type/price range, and copy the search results URL. Example: https://www.squareyards.com/sale/property-for-sale-in-delhi?page=1

2. Configure input — Paste URLs into the urls array. Set max_items_per_url (recommended: 100–200 for balanced speed/volume).

3. Enable error handling — Set ignore_url_failures: true for large-scale runs to skip broken or relocated links.

4. Execute — Start the scraper and monitor progress in real time.

5. Download results — Export as JSON, CSV, or Excel for analysis in spreadsheets, databases, or business intelligence tools.

Best practices:

• Test with a single URL before running bulk operations
• Use specific filters (city, price range, property type) to refine results
• Re-run periodically to capture new listings and price updates

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Use Cases & Business Value

• Investment analysis: Build a personal database of properties in target markets to track price trends
• Competitive intelligence: Monitor what competitors or similar developers are listing
• Portfolio management: Maintain an up-to-date inventory of properties for your agency or fund
• Market research: Analyze supply, pricing patterns, and demand hotspots across Delhi, Mumbai, or other cities
• Lead generation: Extract contact details and listings for outreach campaigns

The Squareyards Property Scraper replaces hours of manual browsing with automated, structured data that feeds directly into investment models, CRM systems, or custom dashboards.

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Conclusion

The Squareyards Property Scraper is a powerful tool for anyone working with India's real estate market. Whether you're an investor, researcher, or platform builder, this scraper delivers clean, detailed property records at scale. Extract hundreds of listings in minutes and gain the data advantage in competitive property markets.