Housing.com Property Scraper - India Buy, Rent, PG & Commercial 🏠

🎉 The whole rent bill, not the headline rent. 115 columns per listing, from $1.20 per 1,000

For analysts, brokers, relocation teams and co-living operators working Indian sale, rental, paying-guest and commercial stock

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🔎 What is the Housing.com Property Scraper — and when should you use it?

The Housing.com Property Scraper turns any Housing.com search across India's five property markets into clean, structured rows you can filter, export and feed straight into a spreadsheet, database or AI agent. No account, no portal API key, no browser automation to maintain.

Use it when you need: asking prices in exact rupees, with a price per square foot derived from built-up area and carpet area as its own separate column. Rent rows carry the whole cost of the tenancy rather than just the rent: the security deposit in rupees and how many months it equals, the brokerage, the monthly maintenance or the note that it is included, the lock-in period and the total move-in figure. Paying-guest rows price per bed and say who the property takes. Commercial rows add the expected annual return, whether the title is freehold or leasehold, and the location hub. Every row also carries bedrooms, bathrooms, balconies, parking, floor out of total floors, facing, furnishing, age and possession. So do GPS coordinates, the seven-level locality hierarchy with stable ids, the posting agent with their firm and masked number, and how many listings the whole search holds.

Use something else when: the property is outside India. Use Property Finder Scraper for the UAE, Saudi Arabia and Qatar. Use 99.co Property Scraper for Singapore. Use Smart Idealista Scraper for Spain, Italy and Portugal. For the same Indian cities read off a second portal, use MagicBricks Property Scraper; running both and comparing the overlap is often the point. This actor reads live Housing.com listings only. The site masks the poster's number on the page itself, so a row carries the name, firm, badge, profile link and a partial number such as 98708...., never a full one. Budget and area bands are not fields, because Housing.com publishes its filters one page at a time and a budget band is not one of them; build that search on the site and paste the result URL into searchUrls instead.

🤖 Use with AI agents

Already connected to the Apify MCP server? Just ask for this Actor by name: sian.agency/housing-com-property-scraper

Your agent can pay for its own runs. This Actor is eligible for agentic payments, so an agent can discover it, run it and settle the bill over x402 (USDC on Base) or Skyfire — without an Apify account or API token of its own. Billing is the same either way: per successful row, never for errors.

Otherwise copy this prompt into Claude, ChatGPT, Cursor or any MCP-enabled assistant:

I want to research the Indian property market, including its rental cost structure and its paying-guest supply using the Apify Actor `sian.agency/housing-com-property-scraper`.

Use it when I need: asking prices in exact rupees, with a price per square foot derived from built-up area and carpet area as its own separate column. Rent rows carry the whole cost of the tenancy rather than just the rent: the security deposit in rupees and how many months it equals, the brokerage, the monthly maintenance or the note that it is included, the lock-in period and the total move-in figure. Paying-guest rows price per bed and say who the property takes. Commercial rows add the expected annual return, whether the title is freehold or leasehold, and the location hub. Every row also carries bedrooms, bathrooms, balconies, parking, floor out of total floors, facing, furnishing, age and possession. So do GPS coordinates, the seven-level locality hierarchy with stable ids, the posting agent with their firm and masked number, and how many listings the whole search holds.

Don't use it when: the property is outside India — use propertyfinder-property-scraper or 99co-property-scraper or smart-idealista-scraper instead.

How to call it: give `cities` a list of Indian cities the way Housing.com writes them (`Mumbai`, `Delhi`, `Bangalore`, `Pune`, `Hyderabad`, `Chennai`, `Kolkata`), tier-2 towns included. Then set `market` to `buy`, `rent`, `paying-guest`, `commercial-buy` or `commercial-rent`. Narrow with `propertyType` (ten values from `flats` to `plots` and `agricultural-land`), `bedrooms` (`1rk` through `4`) or `refine` (eleven values from `resale` to `owner-listings`). Housing.com publishes one filter at a time, so a BHK and a `refine` value cannot be combined - the run says so and names what is available rather than dropping one silently. On a sale search set `refine` to `resale`, or the first page comes back as new-launch project adverts carrying a price range rather than individual listings. `includeDetails` opens each listing's own page and adds the site's own fair-price band for the unit, the locality's average rate per square foot, the full amenity matrix, the nearby landmarks and the written description, at one extra request and one extra charge per listing..

Start with this input:
{
  "operation": "search",
  "cities": [
    "Bangalore"
  ],
  "market": "rent",
  "bedrooms": "2",
  "maxResults": 120
}

Ask me which cities they want, which of the five markets they mean, and whether they need the rental cost stack or just the asking price, then run the Actor and summarise the results as a table.

Things you can ask your agent for:

• Pull 2 BHK rentals in Bangalore and Pune and rank them by total move-in cost - rent plus deposit plus brokerage - rather than by rent.
• Map paying-guest supply in Bangalore: price per bed, sharing type and who each property takes, then group by locality.
• Find resale flats in Mumbai over 1,500 sqft, then open each property page and flag the ones asking below Housing.com's own fair-price estimate.

Machine-readable API, MCP config and OpenAPI definition for this Actor are published at apify.com/sian.agency/housing-com-property-scraper.md.

📋 Overview

Indian property data with the money columns attached. This Actor reads any city search on housing.com and hands back flat rows. Analysts use it for comparables, brokers to find inventory, relocation and co-living teams to budget a tenancy properly.

Why thousands of professionals choose us:

• ✅ The rent cost stack, in full: deposit in rupees and in months, brokerage in rupees and in months, maintenance, lock-in and the total move-in figure. Fifteen actors on the Store are specific to Housing.com. None carries maintenance, lock-in, move-in total or brokerage as an amount, and one carries the deposit.
• 🛏️ Paying guest and co-living as a first-class market: priced per bed, with the sharing arrangement and whether the listing takes women, men or both. No other Housing.com dataset covers this market at all.
• 📊 The whole market on every row: marketTotalListings tells you the search holds 61,127 Mumbai sale listings; marketResaleCount and marketNewProjectCount split that 37,175 resale to 23,952 new-launch. Pull 50 rows and you still have the supply-side number.
• 💰 $1.20 per 1,000 listings: Housing.com actors on the Store run from $0.80 to $9.00 per 1,000. This one sits with the cheap cluster and carries the field set the expensive cluster does not.
• 📐 An area column you can divide by: built-up area is a number with its unit kept in areaUnitAsReported, and price divided by it reproduced the site's own published rate on all 110 rows measured. Carpet area is a separate column.
• ✨ NEW: full property pages add Housing.com's own fair-price band for the unit and the locality's average rate per square foot, which turns a listing dump into a valuation input.

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✨ Features

• 🏙️ Any Indian city: Mumbai, Delhi, Bangalore, Pune, Hyderabad, Chennai, Kolkata, Noida, Gurgaon and Thane, down to tier-2 and tier-3 towns like Ahmednagar, Bardoli and Zirakpur. The city index runs past 900 entries.
• 🏷️ Five markets: for sale, for rent, paying guest and shared, commercial for sale, commercial for rent.
• 🔁 Resale or new launch, your choice: set the extra filter to resale for individual listings, or to new projects for developer inventory. Both are labelled in saleTag and recordType.
• 💸 Rent economics: depositInr, depositDuration, brokerageInr, brokerageDuration, maintenanceInr, lockInPeriodMonths and totalMoveInText on every rental row.
• 🏢 Commercial economics: annualReturn, ownershipType (freehold or leasehold), locationHub and constructionStatus.
• 📈 Demand and trust signals: demandSignal carries lines such as "168 people viewed in last 24 hours", alongside satisfactionScore, isAuctionFlat, isLocalityChampion, isCertifiedProAgent and verificationStatus.
• 📍 Location to seven levels: sublocality, locality, housingRegion, city, metroRegion and state, with latitude and longitude and stable ids for locality and city.
• 🧑‍💼 Poster profile: name, firm, type, designation, badge, profile URL and the masked number Housing.com shows.
• 📄 Optional full pages: fair-price band, locality average rate, price-trends link, flat and society amenity lists, nearby schools, hospitals and metro stations with distances, and the written description.
• 🔗 Paste your own search: build any filter combination on the site and hand the URL over.
• 📊 Export anywhere: JSON, CSV or Excel, straight from the dataset.

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🎬 Quick Start

Pick a city, pick a market, press run. On a sale search set the extra filter to resale first. The first page returns in a few seconds and the run keeps paging until it hits your row limit.

curl -X POST 'https://api.apify.com/v2/acts/sian.agency~housing-com-property-scraper/runs?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"cities": ["Mumbai"], "market": "buy", "refine": "resale", "maxResults": 60}'

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🚀 Getting Started (3 Simple Steps)

Step 1: Name your cities

Write them the way Housing.com does: Bangalore rather than Bengaluru, Delhi rather than New Delhi. Add as many as you like; each one runs as its own search.

Step 2: Pick the market

For sale, for rent, paying guest, commercial for sale or commercial for rent. On a sale search, set the extra filter to resale unless you actually want new-launch project adverts.

Step 3: Set a row limit and run

Leave everything else alone. Turn on full property pages when you want the fair-price band and the locality rate.

That's it! In under a minute, you'll have:

• Live listings with prices, both area figures, BHK, floor and coordinates
• The deposit, brokerage, maintenance and lock-in on every rental row
• The size of the whole market that search sits in, stamped on each row

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📥 Input Configuration

Field	Type	Required	Description
operation	string	No	search (default) or detail
cities	array	No	Indian cities to search, e.g. Mumbai, Bangalore, Pune
market	string	No	buy, rent, paying-guest, commercial-buy or commercial-rent
propertyType	string	No	any, flats, independent-house, villa, builder-floor, penthouse, studio-apartment, duplex, plots, agricultural-land
bedrooms	string	No	any, 1rk, 1, 2, 3 or 4
refine	string	No	One extra filter: resale, new-projects, ready-to-move, under-construction, rera-certified, no-brokerage, gated-community, furnished, semi-furnished, unfurnished, owner-listings
maxResults	integer	No	Stop after this many listings across all cities
includeDetails	boolean	No	Open each property page for the fair-price band, locality rate, amenities and landmarks
propertyUrls	array	No	Property URLs for the detail operation
searchUrls	array	No	Paste Housing.com result-page URLs instead of using the fields above

Example - resale flats for sale:

{
  "operation": "search",
  "cities": ["Mumbai"],
  "market": "buy",
  "refine": "resale",
  "maxResults": 60
}

Rentals with the full cost stack:

{
  "operation": "search",
  "cities": ["Bangalore", "Pune"],
  "market": "rent",
  "propertyType": "flats",
  "bedrooms": "2",
  "maxResults": 200
}

Paying guest and shared accommodation:

{
  "operation": "search",
  "cities": ["Bangalore"],
  "market": "paying-guest",
  "maxResults": 100
}

Your own search URL:

{
  "operation": "search",
  "searchUrls": [
    { "url": "https://housing.com/in/buy/mumbai/resale-fid/" }
  ],
  "maxResults": 100
}

---

📤 Output

Results are saved to the Apify dataset with 115 fields including:

Field	Type	Description
propertyId	string	Housing.com listing id
propertyUrl	string	Link to the listing
price	number	Asking price, or monthly rent, in exact rupees
pricePerSqft	number	Rupees per square foot, from the built-up figure
builtUpAreaSqft	number	Built-up area, with areaUnitAsReported alongside
carpetAreaSqft	number	Carpet area, as its own column
depositInr	number	Rent: security deposit in rupees, with depositDuration in months
brokerageInr	number	Rent: brokerage in rupees, with brokerageDuration
maintenanceInr	number	Rent: monthly maintenance, 0 when included in the rent
lockInPeriodMonths	number	Rent: lock-in period
totalMoveInText	string	Rent: what it costs to walk through the door
annualReturn	string	Commercial: the return the listing quotes
ownershipType	string	Commercial: freehold or leasehold
sharingType	string	Paying guest: single, double, triple sharing
demandSignal	string	e.g. "168 people viewed in last 24 hours"
marketTotalListings	number	How many listings the whole search holds
marketResaleCount / marketNewProjectCount	number	Sale searches: the resale and new-launch split
valuationEstimateInr	number	Full pages: the site's own value estimate, with low and high
localityAvgRateInr	number	Full pages: the locality's average rate per square foot
listerName / listerType	string	Who posted it, and in what capacity

Example - a Mumbai rental row:

{
  "propertyId": "18673892",
  "propertyTitle": "3 BHK Flat",
  "propertyUrl": "https://housing.com/rent/18673892-1150-sqft-3-bhk-apartment-on-rent-in-dadar-east-mumbai",
  "market": "rent",
  "price": 190000,
  "priceText": "₹1,90,000",
  "pricePerSqft": 165.22,
  "depositInr": 380000,
  "depositDuration": "2 months",
  "brokerageInr": 190000,
  "brokerageDuration": "1 month",
  "maintenanceInr": 0,
  "maintenanceText": "Included in rent",
  "lockInPeriodMonths": 6,
  "totalMoveInText": "₹7,60,000",
  "builtUpAreaSqft": 1150,
  "areaUnitAsReported": "sq.ft",
  "bedrooms": 3,
  "bathrooms": 2,
  "parkingInfo": "0 open, 2 closed",
  "furnishing": "Unfurnished",
  "ageOfConstruction": "2 years",
  "latitude": 19.02209,
  "longitude": 72.8496,
  "sublocality": "Hindu Colony",
  "locality": "Dadar East",
  "housingRegion": "Dadar",
  "city": "Mumbai",
  "state": "Maharashtra",
  "listerName": "MATRIX REALTY SOLUTIONS",
  "listerFirm": "Matrix Realty Solutions",
  "listerPhonePartial": "98200.....",
  "isCertifiedProAgent": true,
  "demandSignal": "51 people viewed in last 24 hours",
  "marketTotalListings": 32957
}

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💼 Use Cases & Examples

1. The True Cost of an Indian Tenancy

A relocation manager or co-living operator budgeting what a flat actually costs to take.

Input: A city, market set to rent Output: Rent, deposit in rupees and in months, brokerage in rupees and in months, maintenance, lock-in and the move-in total Use: The Dadar East row above asks ₹1,90,000 a month. It also wants ₹3,80,000 down and ₹1,90,000 to the broker, maintenance included, six months locked: ₹7,60,000 to walk through the door

2. Paying Guest and Co-Living Supply Mapping

A student-housing or co-living investor sizing the shared-accommodation stock in a city.

Input: market set to paying-guest, one or more cities Output: Price per bed, sharing type, tenant preference, coordinates and the operator behind each property Use: "PG in Bangalore" is searched over 20,000 times a month in India. Bengaluru's paying-guest search held 493 listings when last read, and this is the only Housing.com dataset that returns them

3. Locality Price Benchmarking

A valuation team building comparables for a micro-market.

Input: Two localities, same BHK, full property pages on Output: Built-up and carpet area apart, price per square foot, the site's own fair-price band and the locality's average rate Use: Compare an asking price against what the portal itself thinks the unit is worth, per row, rather than eyeballing it

4. Whole-Market Sizing Without Paying to Page

An analyst who needs supply counts across ten cities, not ten full datasets.

Input: Ten cities, maxResults 50 Output: Every row stamped with marketTotalListings, plus the resale and new-launch split on sale searches Use: Mumbai sale is 61,127 listings, 37,175 resale against 23,952 new-launch. You have that from the first page of each city

5. Commercial Yield Screening

A commercial investor screening office, shop and warehouse stock on economics rather than asking price.

Input: market set to commercial-buy or commercial-rent Output: Price, area, quoted annual return, freehold or leasehold, the location hub and the construction state Use: Mumbai's commercial rental search held 14,315 listings. Rank them by quoted return, then filter to freehold

6. Agent and Developer Lead Generation

A broker deciding which agents in a micro-market are worth a call.

Input: A city, any market Output: Lister name, firm, type, designation, badge, profile URL, certified-agent and certified-pro flags, plus the masked number Use: Rank a city's agents by live inventory and verification status instead of guessing which ones are active

7. Proptech Search and Pricing Feeds

A product team keeping an Indian property search or pricing model fed.

Input: Several cities and markets on a schedule Output: Coordinates, two area figures, the seven-level locality hierarchy with ids, amenities, photos and posting dates Use: A comparables feed that refreshes itself, with stable locality and city ids to join on

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🔗 Integration Examples

JavaScript/Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('sian.agency/housing-com-property-scraper').call({
  cities: ['Mumbai', 'Pune'],
  market: 'rent',
  maxResults: 200
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0].totalMoveInText, items[0].lockInPeriodMonths);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')

run = client.actor('sian.agency/housing-com-property-scraper').call(
    run_input={
        'cities': ['Bangalore'],
        'market': 'paying-guest',
        'maxResults': 100,
    }
)

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item['price'], item['sharingType'], item['locality'])

cURL

curl -X POST 'https://api.apify.com/v2/acts/sian.agency~housing-com-property-scraper/runs?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"cities": ["Mumbai"], "market": "buy", "refine": "resale", "maxResults": 60}'

Automation Workflows (N8N / Zapier / Make)

1. Trigger: Schedule, nightly or weekly
2. HTTP Request: Call the actor API with your cities and market
3. Process: Filter the JSON on price per square foot, lock-in period or quoted return
4. Action: Append to a sheet, write to a database, or alert on new inventory

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📊 Performance & Pricing

FREE Tier (Try It Now)

• 25 listings per run, every field, same quality
• No credit card required
• Enough to check the columns before you commit

PAID Tier (Production Ready)

• Unlimited listings per run
• Deep paging across as many cities and markets as you list
• Pay-per-result: charged for listings returned, never for a search that matched nothing

Event	Price	When it applies
Property Search	$0.0012 per listing	Every listing a search returns
Property Detail	$0.003 per property	Only when full property pages are on
Actor Start	$0.005 per run	Once per run

💰 $1.20 per 1,000 listings. Housing.com actors on the Store run from $0.80 to $9.00 per 1,000. This one sits with the cheap cluster, and it carries the deposit, brokerage, maintenance, lock-in and move-in columns that the expensive cluster does not carry either.

🔗 View current pricing

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❓ Frequently Asked Questions

Q: Why is my sale search full of projects instead of properties? A: Because Housing.com's default city sale page leads with new-launch project cards, which are developer adverts carrying a price range and a configuration list rather than one property at one price. Measured on Bangalore, page one of the plain city page was 30 project cards out of 30. Set the extra filter to resale and you get individual listings. Both cost the same, so this is about what you want, not what you pay.

Q: Why can I not combine a BHK with an extra filter? A: Housing.com publishes one filter at a time, as separate pages. There is no page for "2 BHK and ready to move", so asking for both would mean silently dropping one. The run stops instead and names the filters that city does publish for that market, so you can pick a combination that exists.

Q: How many listings can one search return? A: Pagination was verified clean to page 200 on a single search, which is roughly 6,000 listings at 30 rows a page. To go wider, add cities, markets and property types rather than paging deeper.

Q: How many rows come back per page? A: 30 for sale and rent, 20 for paying guest and commercial. The run stops at the first page that crosses your limit.

Q: Which cities work? A: Every city Housing.com covers, and the index runs past 900 entries, from the metros down to tier-2 and tier-3 towns. Write the city the way the site does: Bangalore rather than Bengaluru, Delhi rather than New Delhi. If a city is not recognised, or does not stock the market you asked for, the run says so and names what it does stock.

Q: Do I get phone numbers? A: Only the masked form Housing.com prints on the page, such as 98708...., together with the poster's name, firm, type, badge and profile link. The site does not publish a full number without a logged-in enquiry, so this does not pretend to have one.

Q: What is different about the paying guest rows? A: They are priced per bed rather than per property, they carry the sharing arrangement, and their tags say whether the listing takes women, men or both. Area, BHK and furnishing are usually empty, because a bed in a shared flat does not have them.

Q: What is different about the commercial rows? A: They carry the expected annual return, the ownership basis of freehold or leasehold, the location hub such as a business park, and the construction state of the unit. Those columns are empty on residential rows.

Q: What is the fair-price band? A: Housing.com computes its own low, high and estimated value for a unit and shows the asking price against it. Turn on full property pages and those three rupee figures come back as valuationLowInr, valuationHighInr and valuationEstimateInr, next to the locality's average rate per square foot. It is a useful second opinion for property valuation work, and it is the site's own number, not ours.

Q: What does the full-property-page option cost? A: It fetches each listing's own page, so it bills one Property Detail event per enriched listing on top of the search row. Leave it off and you pay search rows only.

Q: Can I filter by budget or by area range? A: Not as a field, for the same reason as the BHK answer above: the site publishes filters one page at a time and a whole-city budget band is not one of them. Build that search on Housing.com and paste the result URL into Search URLs. The page does the filtering, so every row honours it.

Q: Why does price divided by area sometimes differ from the site's own rate? A: pricePerSqft is computed from builtUpAreaSqft, and it reproduced the site's published rate on all 110 rows measured across sale, rent and commercial. pricePerSqftText keeps the site's own displayed figure so you can check. areaUnitAsReported keeps the unit the listing stated, and an unrecognised unit leaves the square-foot column empty rather than guessing.

Q: What output formats are available? A: JSON, CSV and Excel, exported directly from the Apify dataset.

Q: Is this legal? A: Yes, only publicly available listings are read. See the legal section below.

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🐛 Troubleshooting

"Housing.com does not publish that combination"

• The site serves one filter at a time. Clear either the BHK or the extra filter.
• The message names the property types, BHK values and filters that city publishes for that market. Pick from that list.

"Housing.com has no such page in that city"

• Not every type exists everywhere. A small town may list houses and plots but no penthouses.
• Widen the property type to "Any type", or try a larger city.

A sale run came back as project cards

• Set the extra filter to resale. The plain city page leads with new-launch adverts by design.

The city was not recognised

• Check the spelling the way Housing.com writes it: Bangalore rather than Bengaluru, Delhi rather than New Delhi. Common alternatives such as Bombay, Gurugram and Vizag are understood.

A run returned fewer rows than the limit you set

• The search ran out of inventory. Add cities, markets or property types rather than raising the limit.

"Temporarily unavailable, please retry"

• The site declined the request for a moment. Search fewer cities at a time, or space scheduled runs further apart.

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⚖️ Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Housing.com is a trademark of Locon Solutions Private Limited (REA India). This actor is not affiliated with, endorsed by, or sponsored by Locon Solutions Private Limited or REA India.

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🤝 Support

Join our active support community

• For issues or questions, open an issue in the actor's repository
• Check SIÁN Agency Store for more automation tools
• 📧 apify@sian-agency.online

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