Housing.com Scraper - India Property Listings & Prices

Housing.com Scraper 🏠🇮🇳 — India Property Listings, Prices & Seller Contacts

Extract property listings from Housing.com — one of India's largest real-estate portals — into clean, structured data. This Housing.com scraper turns any Indian city into a downloadable dataset of for-sale and rental properties, capturing the title, BHK configuration, price range, locality and full address, property type, seller/developer name and phone, possession status, posting date, photo count and listing features — no login, no coding, no manual copy-paste.

Bulk export to JSON, CSV, Excel, or API with 1,000+ results pagination for Indian real-estate B2B intelligence and lead generation.

Built for real-estate analysts, PropTech teams, lead-generation agencies, property brokers, developers, data journalists and institutional investors who need fresh, structured Indian property data at scale.

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⚡ At a glance

Feature	Details
Target Portal	Housing.com — India's leading residential real-estate & new-project marketplace
Markets Covered	All major Indian metros & Tier-2 cities (mumbai, bangalore, pune, hyderabad, delhi, gurgaon, noida, chennai, kolkata, ahmedabad, thane, navi-mumbai & more)
Listing Modes	Buy (buy — new projects & resale homes) and Rent (rent — rental apartments & houses)
Core Data Extracted	Listing ID, URL, Title, BHK Subtitle, Property Type, Price Display, priceMin & priceMax (INR), Locality, Detailed Address, Seller/Developer Name, Seller Type, Seller Phone, Posted Date, Possession Status & Date, Verification Status, Rating, Photo Count, Features
Pagination & Scale	Automatic locality (-gid) & filter (-fid) sub-page discovery + multi-city scaling supporting 1,000+ property listings per run
Deduplication	100% deduplicated by unique Housing.com id (0 duplicates)
Export Formats	Bulk export to JSON, CSV, Excel (XLSX), HTML, XML, RSS, or REST API

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🔎 Why scrape Housing.com?

Housing.com is one of India's premier property portals, carrying vast inventory across every major metro and emerging Tier-2 corridor — RERA-registered developer projects, resale apartments, builder floors, independent villas, residential plots and rental homes. A single metro like Mumbai, Bengaluru or Pune contains tens of thousands of active listings, each rich with INR pricing bands, locality hierarchy, BHK configurations, possession timelines and seller/developer contact details.

However, extracting this data manually is impractical: listings sit behind an infinite-scroll front end protected by enterprise bot mitigation, city landing pages only display a small subset of curated carousels, and there is no public Housing.com API for bulk export.

This Housing.com scraper (housing-scraper) automates the entire discovery and extraction pipeline. Point it at one or more Indian cities (for sale or rent) — or paste custom Housing.com search/locality URLs — and it systematically traverses locality and filter groups, deduplicates every property by ID, and delivers a clean table ready for real-estate lead generation, price-per-square-foot benchmarking, and PropTech analytics.

Common reasons teams use this Housing.com data extractor:

• 📊 Locality & BHK price analytics — track priceMin and priceMax in INR across micromarkets (e.g. Andheri West vs Powai vs Whitefield vs Hinjewadi) by 1 BHK, 2 BHK, 3 BHK and 4+ BHK configurations.
• 📞 Real-estate B2B lead generation — export active developer, broker and owner contacts (sellerName, sellerType, sellerPhone) into your CRM or sales outreach workflow.
• 🏗️ New-launch developer project tracking — monitor new project launches, possessionStatus (Under Construction, Ready to Move, Launched), and expected possessionDate across Indian metros.
• 🏘️ PropTech portal & valuation model feeds — populate property comparison apps, automated valuation models (AVMs), and mortgage underwriting databases with live Indian housing inventory.
• 📈 Institutional real-estate investment research — compare absorption indicators, verified listing ratios, and developer market share across Mumbai MMR, NCR, Bengaluru, Hyderabad and Pune.
• 🕵️ Competitor & broker inventory monitoring — track which builders and channel partners dominate specific localities and price brackets.

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✨ What this Housing.com scraper does

• ✅ Scrape any Indian city by name — pass mumbai, bangalore, pune, delhi, hyderabad, chennai, gurgaon, noida, kolkata, ahmedabad, thane, navi-mumbai and more. Leaving cities and startUrls empty automatically runs a diverse multi-metro sample.
• ✅ Buy or Rent support — toggle between properties for sale (buy) and rental listings (rent) with a single dropdown.
• ✅ Deep locality (-gid) & filter (-fid) expansion — instead of stopping at the 20–30 cards on a city homepage, the scraper automatically discovers and walks the city's underlying locality and filter sub-pages, unlocking hundreds to 1,000+ unique listings per run.
• ✅ Incremental streaming & 100% deduplication — streams deduplicated records directly to the Apify Dataset in real time keyed on Housing.com's unique id.
• ✅ Normalized INR pricing — extracts both the human-readable priceDisplay (e.g. "₹2.24 Cr - 15.01 Cr", "₹65.0 L", "₹27,000") and numeric priceMin / priceMax in Rupees (INR) for immediate sorting and aggregation.
• ✅ Seller & developer lead extraction — captures sellerName (e.g. "Avant Group", "Lodha", "Godrej Properties"), sellerType (Developer, Agent, Owner, Builder), and sellerPhone.
• ✅ Project & verification metadata — includes postedDate, possessionStatus, possessionDate, isVerified, verificationStatus, imageCount, rating and features.
• ✅ Paste-a-URL mode (startUrls) — paste any Housing.com city, locality (-gid), filter (-fid), or /searches/... URL for surgical extraction.

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🎯 Use cases & B2B intelligence workflows

1. Real-Estate Broker & Channel Partner Lead Generation

Real-estate marketing agencies, interior design studios, home-loan DSA teams, and PropTech SaaS vendors extract sellerName, sellerType (Developer, Agent, Owner), sellerPhone, and address to build hyper-targeted B2B prospect lists segmented by city and price bracket.

2. Developer Competitive Intelligence & Launch Monitoring

Residential developers in Mumbai MMR, Pune, Bengaluru, Hyderabad and Delhi-NCR schedule weekly runs to track competitor project launches (propertyType: "project"), BHK mix (subtitle), pricing bands (priceMin / priceMax), and possessionDate commitments across neighboring localities.

3. Automated Valuation Models (AVM) & FinTech Underwriting

Housing finance companies (HFCs), banks, and real-estate research desks ingest thousands of active listings to maintain locality-level price indices by BHK configuration and construction stage (Ready to Move vs Under Construction).

4. PropTech Aggregators & Relocation Portals

Consumer property apps and corporate relocation platforms use the Apify API to keep their Indian residential inventory synchronized with fresh listings, verification flags, and feature tags.

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📥 Input parameters

The Actor provides a clean, no-code input form. Provide cities and/or Housing.com startUrls, select service (buy or rent), and set maxItems.

Field	Type	Default	Description
cities	array<string>	["mumbai"]	One or more Indian cities to scrape (e.g. mumbai, bangalore, delhi, pune, hyderabad, chennai, gurgaon, noida, kolkata, ahmedabad). Leave empty to scrape a diverse multi-city sample.
service	string	"buy"	"buy" (properties for sale — new projects & resale) or "rent" (rental properties).
startUrls	array	[]	Optional Housing.com city, locality (-gid), filter (-fid), or /searches/... URLs (e.g. https://housing.com/in/buy/real-estate-mumbai or https://housing.com/in/buy/mumbai/andheri-west-gid/). Scraped in addition to cities.
maxItems	integer	200 (prefill 100)	Maximum number of unique property listings to collect across all cities and URLs. Set 0 for unlimited.
proxyConfiguration	object	IN Residential	Proxy settings. Indian residential proxies (IN) are enabled by default and strongly recommended for uninterrupted extraction.

Option A — Scrape one or more cities (easiest)

{
  "cities": ["mumbai", "pune", "bangalore"],
  "service": "buy",
  "maxItems": 1000,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "IN"
  }
}

Option B — Scrape rental listings

{
  "cities": ["bangalore", "hyderabad"],
  "service": "rent",
  "maxItems": 300
}

Option C — Scrape specific Housing.com locality or filter URLs

{
  "startUrls": [
    { "url": "https://housing.com/in/buy/real-estate-hyderabad" },
    { "url": "https://housing.com/in/buy/mumbai/andheri-west-gid/" }
  ],
  "service": "buy",
  "maxItems": 500
}

Option D — Pan-India top 6 metro sweep (1,500+ listings)

{
  "cities": ["mumbai", "bangalore", "pune", "hyderabad", "gurgaon", "noida"],
  "service": "buy",
  "maxItems": 1500
}

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🏙️ Supported Indian Metros & Micromarket Coverage

City Slug (cities)	Metro / State	Key Micromarkets & Localities Covered (-gid expansion)	Typical Inventory Mix
mumbai	Mumbai (Maharashtra)	Andheri West/East, Bandra, Powai, Goregaon, Malad, Kandivali, Borivali, Worli, Lower Parel, Chembur	High-rise RERA projects, luxury towers & suburban resale
thane / navi-mumbai	MMR Extended	Ghodbunder Road, Majiwada, Kharghar, Panvel, Vashi, Airoli, Ulwe	Township developments & mid-segment 1/2/3 BHK
bangalore	Bengaluru (Karnataka)	Whitefield, Sarjapur Road, Electronic City, Hebbal, Yelahanka, Koramangala, Indiranagar, Devanahalli	IT-corridor gated apartments, villas & plots
pune	Pune (Maharashtra)	Hinjewadi, Wakad, Baner, Balewadi, Kharadi, Hadapsar, Viman Nagar, Wagholi	IT-park residential projects & high-yield rentals
hyderabad	Hyderabad (Telangana)	Gachibowli, Kondapur, Kokapet, Tellapur, Miyapur, Madhapur, Kompally, Financial District	High-rise luxury gated communities & villas
gurgaon	Gurugram (NCR)	Dwarka Expressway, Golf Course Extension, Sohna Road, New Gurgaon, Sector 65–113	Luxury builder floors, DLF/Sobha/Godrej high-rises
noida / delhi	Noida & Delhi NCR	Noida Expressway, Sector 150, Greater Noida West, Dwarka, South Delhi, Rohini	High-density residential societies & builder floors
chennai	Chennai (Tamil Nadu)	OMR, Sholinganallur, Porur, Anna Nagar, Velachery, Tambaram, ECR	IT-corridor apartments & independent houses
kolkata	Kolkata (West Bengal)	New Town, Rajarhat, EM Bypass, Salt Lake, Tollygunge, Joka	Township apartments & resale residential
ahmedabad	Ahmedabad (Gujarat)	SG Highway, Bopal, South Bopal, Shela, Gift City, Prahlad Nagar, Science City	3/4 BHK apartments, penthouses & bungalows

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🔌 Data Warehouse & CRM Integration Workflows

Google Sheets & Excel Reporting

Export your dataset directly to Excel (.xlsx) or CSV from the Apify Console, or attach the native Apify Google Sheets integration to append fresh Indian property rows after every scheduled run. Pivot on address × subtitle (BHK) × propertyType (project vs resale) to compute median priceMin and priceMax per locality.

HubSpot, Salesforce & Zoho CRM Lead Enrichment

Pipe active seller records (sellerName, sellerType, sellerPhone, address, url) via Make.com, Zapier, or n8n into your real-estate CRM. Filter on sellerType === "Developer" or sellerType === "Agent" to route B2B channel-partner leads directly to regional sales teams.

PostgreSQL, BigQuery & Snowflake Time-Series Storage

Use an Apify Webhook to ingest each run's defaultDatasetId into your SQL warehouse keyed on (id, postedDate). Diffing weekly snapshots reveals newly launched RERA projects, price revisions on existing towers, and possession timeline shifts (possessionDate).

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📤 Output schema & sample data

Each property listing is emitted as a clean, flat JSON object (null/empty fields are omitted so records stay compact). Here is a real item from a live Mumbai run:

{
  "id": 311427,
  "url": "https://housing.com/in/buy/projects/page/311427-avant-park-west-by-avant-group-in-vile-parle-west",
  "title": "Avant Park West",
  "subtitle": "1, 1.5, 2, 3, 4 BHK Apartments",
  "propertyType": "project",
  "listingType": "buy",
  "priceDisplay": "₹2.24 Cr - 15.01 Cr",
  "priceMin": 22416000,
  "priceMax": 150144000,
  "address": "Vile Parle East, Mumbai",
  "detailedAddress": "Cts No. 824 826 And 827, Ville Parle West, Western Suburbs, Mumbai",
  "sellerName": "Avant Group",
  "sellerType": "Developer",
  "sellerPhone": "77009XXXXX",
  "postedDate": "2023-11-30T14:21:04Z",
  "possessionStatus": "Under Construction",
  "possessionDate": "Jun, 2027",
  "isVerified": true,
  "verificationStatus": "Verified",
  "imageCount": 1,
  "rating": 4.2,
  "features": [
    "Possession Starts",
    "Avg. Price",
    "Formatted per unit price",
    "Sizes"
  ]
}

Output field reference

Coverage key: 🟢 High (~92–100% of listings) · 🟡 Conditional (populated for new-launch projects or verified listings)

🏠 Property Identity & Configuration

Field	Type	Coverage	Description
id	integer | string	🟢 High	Unique Housing.com listing or project ID (used for automatic deduplication).
url	string	🟢 High	Canonical URL to the property or project detail page on Housing.com.
title	string	🟢 High	Property headline or residential project name (e.g. "Avant Park West").
subtitle	string	🟢 High	BHK configuration & unit summary (e.g. "2, 3 BHK Apartments", "3 BHK Independent Builder Floor").
propertyType	string	🟢 High	Inventory category: "project" (developer launch), "resale", or "rent".
listingType	string	🟢 High	Transaction type: "buy" or "rent".

💰 Pricing & Location

Field	Type	Coverage	Description
priceDisplay	string	🟢 High	Formatted Indian price string in Lakh / Crore / INR (e.g. "₹2.24 Cr - 15.01 Cr", "₹85.0 L", "₹27,000").
priceMin	number	🟢 High	Minimum numeric price in INR (e.g. 22416000).
priceMax	number	🟡 Conditional	Maximum numeric price in INR for multi-unit developer projects (e.g. 150144000).
address	string	🟢 High	Locality and city summary (e.g. "Vile Parle East, Mumbai").
detailedAddress	string	🟢 High	Full street/sub-locality address line when published.

📞 Seller / Developer Contact Leads

Field	Type	Coverage	Description
sellerName	string	🟢 High	Name of the developer, real-estate agency, or property owner.
sellerType	string	🟢 High	Seller classification ("Developer", "Agent", "Owner", "Builder").
sellerPhone	string	🟢 High	Seller phone number string as published by the portal (~99% fill rate).

🏗️ Timeline, Verification & Media Metadata

Field	Type	Coverage	Description
postedDate	string	🟢 High	ISO-8601 timestamp when the listing was posted or refreshed.
possessionStatus	string	🟡 Conditional	Construction/possession stage ("Ready to Move", "Under Construction", "Possession Started", "Launched").
possessionDate	string	🟡 Conditional	Target or actual possession date (e.g. "Jun, 2027").
isVerified	boolean	🟡 Conditional	Boolean flag indicating Housing.com verification status.
verificationStatus	string	🟡 Conditional	Portal verification badge label (e.g. "Verified").
imageCount	integer	🟢 High	Total number of photos attached to the listing.
rating	number	🟡 Conditional	Project or locality review score (out of 5) when available.
features	array<string>	🟢 High	Highlighted listing feature labels.

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🔁 Pagination & 1,000+ scale

You never have to configure page numbers manually. When you run the Housing.com scraper:

1. Landing & Hydration Extraction: It fetches the requested city or startUrls page and extracts all immediately embedded property records.
2. Deep Locality (-gid) & Filter (-fid) Traversal: It recursively discovers locality and filter sub-pages across the city, extracting search-group hashes (tokens) from each sub-page.
3. Interleaved Search Group Harvesting: It queries each discovered search group and streams unique listings to your dataset until maxItems is reached — with no artificial 120-subpage ceiling.
4. Multi-City Expansion for 1,000+ Runs: If you request 1,000+ items (or maxItems: 0 unlimited) without restricting startUrls and a single city's search groups finish before hitting your target, the Actor automatically expands into additional major Indian metros (mumbai, bangalore, pune, hyderabad, delhi, gurgaon, noida, chennai, kolkata, ahmedabad, thane, navi-mumbai) so large bulk runs always deliver full volume.

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💻 API usage examples

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("haketa/housing-scraper").call(run_input={
    "cities": ["mumbai", "pune"],
    "service": "buy",
    "maxItems": 500,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("id"), item.get("title"), item.get("priceDisplay"), item.get("address"), item.get("sellerName"))

Node.js (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('haketa/housing-scraper').call({
    cities: ['bangalore'],
    service: 'buy',
    maxItems: 300,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Collected ${items.length} Bengaluru properties`);

cURL

curl -X POST "https://api.apify.com/v2/acts/haketa~housing-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
        "cities": ["mumbai"],
        "service": "buy",
        "maxItems": 200
      }'

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💡 Best practices & pro tips

• Start with a 100-listing city sample: Run the default mumbai prefill (maxItems: 100) to inspect the output columns in ~20–35 seconds before launching a 1,000+ multi-city harvest.
• Use buy for maximum locality depth: Housing.com's for-sale (buy) hierarchy exposes the richest set of locality (-gid) and filter (-fid) search groups per city. For rent, combine multiple cities (["mumbai", "bangalore", "pune", "hyderabad", "gurgaon", "noida"]) when building large rental datasets.
• Target specific micromarkets via startUrls: Copy any locality URL from Housing.com (e.g. https://housing.com/in/buy/mumbai/andheri-west-gid/ or https://housing.com/in/buy/bangalore/whitefield-gid/) and paste it into startUrls to focus exclusively on that sub-market.
• Keep Indian Residential Proxy (IN) enabled: Housing.com is protected by strict edge security that blocks datacenter IPs; the default Indian residential proxy configuration ensures smooth, high-fill runs.
• Automate CRM & BI ingestion: Connect the Actor to Google Sheets, BigQuery, Snowflake, HubSpot, Make, or Zapier using Apify Webhooks or Schedules.

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❓ Frequently asked questions

Do I need a Housing.com account or API key? No. The Actor extracts publicly accessible property listings directly — no login, cookies, or third-party API keys are required.

How many property listings can I collect in one run? A single major metro like Mumbai, Bengaluru, Pune or Hyderabad yields hundreds of unique listings, and combining multiple cities (or letting automatic multi-city expansion run with maxItems: 1000+) scales smoothly into 1,000+ deduplicated properties per run.

Does the output include seller and developer phone numbers? Yes. Every listing includes sellerName, sellerType (Developer, Agent, Owner), and sellerPhone as published by Housing.com (note that Housing.com partially masks the last digits of phone numbers on public pages, e.g. 77009XXXXX). In live verification runs, sellerName and sellerType populate at 100% and sellerPhone at ~99%.

Can I scrape both new developer projects and resale apartments? Yes. Both "propertyType": "project" (RERA developer launches) and "propertyType": "resale" (individual/broker resale units) are captured automatically and distinguished by the propertyType column.

Why are possessionStatus and rating only populated on some rows? Those fields apply primarily to new-launch developer projects (propertyType: "project"). Resale and rental units often do not publish a project rating or construction possession date on the portal.

What happens if I run the Actor with empty input {}? It automatically seeds a diverse list of major Indian metros (mumbai, bangalore, pune, hyderabad, delhi, gurgaon) and collects a fast 100-listing sample so empty API tests never return 0 results.

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⚠️ Limitations

• Seller phone numbers are returned in the partially masked format (77009XXXXX) that Housing.com exposes publicly without OTP login.
• Rental (service: "rent") pages expose fewer locality search tokens per city than for-sale (service: "buy") pages; pass multiple cities in cities when scaling rental runs to ratusan/thousands of items.
• Indian residential proxies (apifyProxyCountry: "IN") are required for reliable access.

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🔗 Related scrapers

Scraping real estate and classifieds across global markets? Explore these companion Actors:

• Daft.ie Scraper — Ireland's #1 property portal (sale, rent, sharing, commercial, BER & Eircodes).
• Yad2 Scraper — Israel's leading classifieds and real-estate marketplace.
• ZAP Imóveis Scraper — Brazil real-estate listings, prices and condo fees.
• Boliga Scraper — Danish housing listings, prices and historical sales data.
• Realtor.ca Scraper — Canadian MLS property listings and agent profiles.
• Domain.com.au Scraper — Australian real-estate listings for sale, rent and sold history.

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📋 Changelog

• v1.2 (2026-11-10) — Unlocked 1,000+ deep pagination & multi-city scaling: replaced the fixed 120-subpage ceiling with an interleaved locality (-gid) / filter (-fid) discovery loop that continues harvesting search groups until maxItems is reached, added recursive sub-page discovery and automatic fallback city expansion for 1,000+ runs, added default multi-metro seeding on empty {} input, and tuned fast 100-item prefill execution.
• v1.1 (2026-11-02) — Locality & filter sub-page expansion: added automatic city landing-page expansion into -gid and -fid sub-pages, increasing single-city yield to 400+ deduplicated listings with 100% core field fill rate.
• v1.0 (2026-08-14) — Initial release: Housing.com buy and rent property extraction with INR priceMin/priceMax, BHK configuration, locality/address, seller contact fields and project possession metadata.