Housing.com Scraper | 32 Cities, 26 Fields, Rent & Buy

From The Mine Works, makers of Threads Scraper and B2B Leads Finder, with over 140,000 runs across 170+ public actors. This actor ranks #3 for "housing.com scraper" in Apify Store search.

Housing.com is one of India's largest property portals, with flats, houses, villas, new projects, offices, shops and warehouses for rent and for sale. This actor turns a Housing.com city search into clean rows: title, property type, BHK, price, deposit, area, address, map coordinates, highlights, description, photo and the listing link. No login, no Housing.com account and no API key.

Why choose this actor?

• 500 Bangalore rentals in about two and a half minutes. On 1 Oct 2026 a run returned 500 rental listings for Bangalore in 158.7 seconds from 34 requests, through Apify's datacenter proxy, with no blocks.
• Map and price ready rows. All 500 rentals had coordinates, built-up area in square feet, address and link; 496 had the monthly rent as a number and all 500 had the deposit. Price per square foot and locality maps need no parsing.
• From $0.60 per 1,000 listings. You pay per listing saved, plus Apify's start event of $0.005 per run at the default memory. Duplicates, empty pages and failed pages are never charged.

Part of The Mine Works Real estate family: Zillow Rentals Scraper, Zillow Sold Comps Scraper, India Real Estate MCP, Zillow Property Scraper, 99acres Scraper, MagicBricks Scraper.

Try it in one minute

Paste this into the JSON tab of the input page and press Start. It returns 20 Bangalore rentals quickly: our scheduled runs of 50 rentals took 13 to 29 seconds on Apify.

{
  "city": "Bangalore",
  "listingType": "rent",
  "maxResults": 20
}

The actor takes a city from its list of 32 and a listing type, not Housing.com links or locality names. Pick city exactly as listed (for example Bangalore, Mumbai, Delhi, Gurgaon or Navi Mumbai) and listingType as rent, buy, commercial_rent or commercial_buy. One city and one listing type per run.

Apify's free plan includes $5 of credit every month, which covers about 4,990 results at this actor's price.

Copy to your AI assistant

themineworks/housing-com-scraper on Apify. It returns Housing.com (India) property listings for one city and one listing type per run, one row per listing with title, property type, BHK, price, price label, deposit, built-up and carpet area, address, latitude, longitude, highlights, description, posted date, verified flag, photo and link. Call ApifyClient("TOKEN").actor("themineworks/housing-com-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items. Required: city (one of 32 names such as "Bangalore", "Mumbai", "Delhi", "Pune", "Hyderabad", "Chennai", "Gurgaon", "Noida"). Optional: listingType ("rent" default, "buy", "commercial_rent", "commercial_buy"), maxResults (default 50, maximum 2000), proxyConfiguration (default Apify datacenter proxy), allowResidentialFallback (default true). All four types page through results: rent and commercial about 15 listings per page, buy about 30, at most 80 pages per run (so about 1,200 for rent and commercial, 2,000 for buy). Runs above about 1,000 listings need a run timeout above the default 300 seconds. Commercial rows carry price_label but no numeric price. The last row has _type "summary" and is not a listing. Full spec: GET https://api.apify.com/v2/acts/themineworks~housing-com-scraper/builds/default (Bearer TOKEN), which returns inputSchema and readme. Token: https://console.apify.com/account/integrations

Key features

• 22 fields per listing, 13 of them on every one of the 4,850 rows we collected across all four listing types, including price label, latitude, longitude, address, highlights and link.
• 32 Indian cities and 4 listing types: residential rent, residential sale (resale flats and new projects), commercial rent and commercial sale (offices, shops, showrooms, warehouses).
• Every listing type goes deep. Rent and commercial pages hold about 15 listings and sale pages about 30, and a run reads up to 80 pages. On 1 Oct 2026 a Mumbai sale search returned 2,000 listings, a Hyderabad commercial rent search 1,200 and a Bangalore rent search 1,000, every one distinct, through the datacenter proxy with no blocks.
• De-duplicated by Housing.com's listing ID within the run, and a run stops after 2 pages in a row that bring nothing new, so you never pay for repeats.
• A summary row at the end of every run with listings delivered and charged and, for sale searches, Housing.com's own count of matching listings. It is never charged.

How to use it

Basic: rentals in one city

{
  "city": "Bangalore",
  "listingType": "rent",
  "maxResults": 200
}

Most rentals are recent: 266 of the 500 Bangalore rentals in our test had been posted in September or October 2026.

Flats and new projects for sale

{
  "city": "Mumbai",
  "listingType": "buy",
  "maxResults": 300
}

Sale searches mix resale flats and new projects, with most new projects near the top: 8 of the first 30 Mumbai rows were new projects, and 27 of 2,000 overall. A new project row describes the project (for example "Configuration: 2 BHK Flat" and "Possession Starts: Jun, 2028" in amenities). price_unit is total.

Offices, shops and warehouses

{
  "city": "Hyderabad",
  "listingType": "commercial_rent",
  "maxResults": 150
}

Commercial rows carry a real property_type such as Office Space, Warehouse, Shop, Showroom or Commercial Plot, built-up area on all but 3 of 1,350 rows in our tests and carpet area on 1,123 of them. The price comes only as Housing.com's label, such as "₹15 Lacs" per month or "₹2.35 Cr" for a sale, in price_label.

Rent tracker across cities

{
  "city": "Pune",
  "listingType": "rent",
  "maxResults": 500
}

Save one task per city and schedule them weekly, for example with the cron 0 6 * * 1. Group by address locality and bhk, divide price by area_sqft for rent per square foot, and compare week to week. De-duplicate across runs on listing_id.

Agent and broker lead lists

{
  "city": "Gurgaon",
  "listingType": "rent",
  "maxResults": 300
}

Sort by posted_on to work the newest listings first, and filter on verified (58 of 500 Bangalore rentals were marked verified) when you only want listings Housing.com has checked.

Input parameters

Parameter	Type	Default	What it does
city	string, one of 32	Bangalore	The city to search. Required. See the list below.
listingType	string	rent	rent (residential rent), buy (residential sale), commercial_rent or commercial_buy.
maxResults	integer, 1 to 2,000	50	Cap on listings delivered. A run reads at most 80 pages, so rent and commercial searches stop at about 1,200 listings and sale searches can reach 2,000. Above about 1,000, raise the run timeout (see the FAQ).
proxyConfiguration	object	Apify proxy (datacenter)	Proxy settings. The default datacenter proxy worked in all our tests.
allowResidentialFallback	boolean	true	If a page fails 3 times on the datacenter proxy, try it once on an Indian residential proxy. This only applies when the input has no proxyConfiguration. Set false to stay on datacenter.

Supported cities: Ahmedabad, Bangalore, Bhopal, Bhubaneswar, Chennai, Coimbatore, Dehradun, Delhi, Faridabad, Gandhinagar, Ghaziabad, Goa, Greater Noida, Gurgaon, Guwahati, Hyderabad, Indore, Jaipur, Kolkata, Lucknow, Mohali, Mumbai, Nagpur, Nasik, Navi Mumbai, Noida, Pune, Ranchi, Surat, Thane, Vadodara and Varanasi. Use the names exactly as written here; other spellings such as Bengaluru or Gurugram are not accepted by the input form or the API.

The input form in the Apify Console starts with Bangalore, rent and maxResults: 10, and it always sends a proxy setting, so form runs use exactly the proxy you see there and skip the residential retry. Runs started through the API or an AI assistant get only what you send, plus the defaults above.

What data do you get?

One row per listing. A field Housing.com does not publish for a listing is left out of that row rather than sent as null.

The listing: listing_id, title (such as "2 BHK Flat" or a project name), listing_type, property_type (such as Flat, Independent Builder Floor, Independent House, Villa, New Project, Office Space or Warehouse), bhk, description with HTML removed, posted_on, verified and listing_url.

Price: price as a number in rupees, price_label as Housing.com shows it (such as "₹17,000" or "₹1.4 Cr"), price_unit (per month for rent types, total for sale types) and deposit for rentals.

Size and place: area_sqft (built-up area), carpet_area_sqft where Housing.com gives it separately, address (locality and city), city as you entered it, latitude and longitude.

Highlights and media: amenities, a list of Housing.com's highlight lines such as "Furnishing: Semi Furnished", "Floor: 19 of 39" or "Possession status: Ready to move", and photo_url for the main photo.

Timing: scraped_at, when the row was collected.

Run row: every run ends with one _type: "summary" row with total_scraped, charged_for, the stop reason counters and Housing.com's meta (for sale searches it includes the total number of matching resale and new project listings). It is never charged. Filter on _type to keep only listings.

What we saw on 1 Oct 2026 in 4,850 listings across all four types, so you can plan for it:

• Rentals (1,000 in Bangalore): price and deposit on all 1,000 (5 deposits were 0), bhk on 977, photo_url on all 1,000. carpet_area_sqft on none.
• Sale listings (2,500 in Mumbai and Pune): price on 2,499, no deposit and no carpet_area_sqft. New project rows have no bhk; the configuration sits in amenities. 19 rows were residential plots, which carry neither property_type nor bhk. description was on 2,477.
• Commercial listings (1,350 in Hyderabad and Mumbai): no numeric price, only price_label, and no bhk or deposit. carpet_area_sqft on 1,123, photo_url on 1,008, area_sqft on all but 3.
• bhk can be a half number such as 2.5, and is left out for 1 RK units and projects.
• city repeats the city you chose; the locality is in address.
• posted_on ends in Z, but 3 listings posted on the day of our test showed a time later than the moment we collected them, so the clock time looks like Indian time. Rely on the date, not the hour.

Stable fields for automations

These 13 fields were present in every one of the 4,850 listings we collected on 1 Oct 2026 across rent, buy, commercial rent and commercial sale. Their names will not change, so a Sheet, Zap, Make scenario or n8n flow can map to them safely. property_type and area_sqft are on almost every row but not all (see above).

Field	What it is
listing_id	Housing.com's listing ID. Use it as the unique key.
title	Listing title, such as "2 BHK Flat"
listing_type	The listing type you chose
price_label	Price as Housing.com shows it, such as "₹1.4 Cr"
price_unit	per month or total
address	Locality and city
city	The city you chose
latitude	Latitude of the listing
longitude	Longitude of the listing
amenities	List of highlight lines
verified	true when Housing.com marks the listing verified
listing_url	Link to the listing on housing.com
scraped_at	When the row was collected, ISO 8601 in UTC

Output examples

Real rows from our 1 Oct 2026 test runs. Descriptions are cut to their first words.

A verified 2 BHK rental in Bangalore

{
  "listing_id": "20948190",
  "title": "2 BHK Flat",
  "listing_type": "rent",
  "property_type": "Flat",
  "bhk": 2,
  "price": 17000,
  "price_label": "₹17,000",
  "price_unit": "per month",
  "deposit": 85000,
  "area_sqft": 1047,
  "address": "Thyvakanahally, Bengaluru",
  "city": "Bangalore",
  "latitude": 12.832813,
  "longitude": 77.790367,
  "amenities": ["Furnishing: Semi Furnished", "Build Up: 1047 sq.ft"],
  "description": "2 BHK | Semi Furnished | Apartment | Sarjapur-Attibele Road, BangaloreSemi-furnished 2 BHK apartment with 1,047 sq. ft. built-up area, 2 bathrooms, 2 balconies, and 1 covered car p...",
  "posted_on": "2026-10-01T16:29:50Z",
  "verified": true,
  "photo_url": "https://is1-3.housingcdn.com/01c16c28/a8d02bcf897db6bbff8420f526c71a22/v0/version/2_bhk_apartment-for-rent-thyvakanahally-Bengaluru-living_room.jpg",
  "listing_url": "https://housing.com/rent/20948190-1047-sqft-2-bhk-apartment-on-rent-in-thyvakanahally-bengaluru",
  "scraped_at": "2026-10-01T14:11:24.013Z"
}

A resale flat for sale in Mumbai

{
  "listing_id": "20690687",
  "title": "2 BHK Flat",
  "listing_type": "buy",
  "property_type": "Flat",
  "bhk": 2,
  "price": 14000000,
  "price_label": "₹1.4 Cr",
  "price_unit": "total",
  "area_sqft": 856,
  "address": "Sonapur, Bhandup West",
  "city": "Mumbai",
  "latitude": 19.160473,
  "longitude": 72.932663,
  "amenities": ["Built Up Area: 856 sq.ft", "Avg. Price: ₹16.36 K/sq.ft", "Formatted per unit price: ₹16.36k/sq.ft.", "Possession status: Ready to move", "Floor: 19 of 39", "Furnishing: Unfurnished"],
  "description": "Best 2 BHK Apartment for modern-day lifestyle is now available for sale. Grab this 2 BHK property for sale in one of Mumbai's top location, Bhandup West. It is situated on floor 19...",
  "posted_on": "2026-09-30T16:11:46Z",
  "verified": true,
  "photo_url": "https://is1-3.housingcdn.com/01c16c28/1783946092090_dc40f808fa4b1c9f65c1cf959d01de42/v0/version/2_bhk_apartment-for-sale-bhandup_west-Mumbai-bedroom_one.jpg",
  "listing_url": "https://housing.com/in/buy/resale/page/20690687-2-bhk-apartment-in-bhandup-west-for-rs-14000000",
  "scraped_at": "2026-10-01T14:10:44.654Z"
}

A new project from the same search

{
  "listing_id": "341947",
  "title": "Ruparel Zinnia",
  "listing_type": "buy",
  "property_type": "New Project",
  "price": 21000000,
  "price_label": "₹2.1 Cr",
  "price_unit": "total",
  "area_sqft": 637,
  "address": "Borivali West, Mumbai",
  "city": "Mumbai",
  "latitude": 19.238083,
  "longitude": 72.852196,
  "amenities": ["Configuration: 2 BHK Flat", "Possession Starts: Jun, 2028", "Avg. Price: ₹30.45 K/sq.ft", "Formatted per unit price: ₹30.46k/sq.ft."],
  "posted_on": "2025-02-11T11:56:03Z",
  "verified": false,
  "listing_url": "https://housing.com/in/buy/projects/page/341947-ruparel-zinnia-by-ruparel-realty-in-borivali-west",
  "scraped_at": "2026-10-01T14:10:44.669Z"
}

(Description and photo link removed from this example for length.)

A warehouse for rent in Hyderabad, with the price as a label only

{
  "listing_id": "100629692",
  "title": "Warehouse",
  "listing_type": "commercial_rent",
  "property_type": "Warehouse",
  "price_label": "₹15 Lacs",
  "price_unit": "per month",
  "area_sqft": 63000,
  "carpet_area_sqft": 60000,
  "address": "Shamshabad, Hyderabad",
  "city": "Hyderabad",
  "latitude": 17.242891,
  "longitude": 78.4207,
  "amenities": ["Available From: 28/09/2026", "Built Up Area: 63 K sq.ft", "Floors: 1st/ 1 floors", "Possession Status: Ready to move", "Suitable For: Others", "Location Hub: Commercial Project"],
  "description": "Nestled in one of the best locations of Hyderabad, this commercial Warehouse is available on rent. The project is located at Shamshabad and offers premium commercial spaces equippe...",
  "posted_on": "2026-09-28T11:14:06.562Z",
  "verified": false,
  "photo_url": "https://is1-3.housingcdn.com/354cef8f/43bea5a08c4ebd998e45ca37e9559d0c/v0/version.jpg",
  "listing_url": "https://housing.com/commercial/rent/100629692-warehouse-for-rent-in-shamshabad-hyderabad-for-rs-1500000",
  "scraped_at": "2026-10-01T14:14:10.680Z"
}

The summary row from the Mumbai sale search

{
  "_type": "summary",
  "city": "Mumbai",
  "listing_type": "buy",
  "meta": {"api": {"cursor": "670696327", "np_total_count": 24032, "np_offset": 0, "resale_offset": 0, "resale_total_count": 35470}},
  "total_scraped": 200,
  "charged_for": 200,
  "empty_streak": 0,
  "total_empty": 0,
  "yield_guard_tripped": false,
  "requests": 7,
  "delivered": 200,
  "est_spend_usd": 0.014,
  "est_revenue_usd": 0.32,
  "profit_guard_tripped": false,
  "scraped_at": "2026-10-01T14:33:02.888Z"
}

requests is the number of search pages read: 200 sale listings at 30 per page took 7. For sale searches, meta carries Housing.com's own count of matching listings, here 24,032 new project and 35,470 resale listings for Mumbai. yield_guard_tripped: true would mean the run stopped early because two pages in a row brought nothing new. The est_spend_usd and est_revenue_usd fields are the actor's own internal cost estimate, not your bill.

Pricing

Pay per event: you are charged for each listing saved to your dataset, plus Apify's standard start event. The price per listing drops as your Apify plan goes up.

Event	Free plan	Bronze (Starter)	Silver (Scale)	Gold and above (Business)
property-scraped, per listing	$0.001	$0.0009	$0.00075	$0.0006
Per 1,000 listings	$1.00	$0.90	$0.75	$0.60
apify-actor-start, per run	$0.005 per GB of memory	$0.005 per GB	$0.005 per GB	$0.005 per GB

• Start fee: $0.005 per GB of run memory, with a minimum of one event. At the default 512 MB that is $0.005 per run, charged even when a run finds nothing. The actor needs no more than the default.
• Never charged: listings repeated within the run, empty pages, failed pages and the summary row.
• Spending cap: if you set a maximum cost per run in Apify, the actor stops adding listings once that budget is used, so you never receive rows you were not charged for and never pay past your cap.
• No price change is scheduled. The current prices, including the start event, have applied since 22 Sep 2026.

Worked examples on the Free plan: 500 rentals cost $0.50 plus the $0.005 start fee. On Gold, the same run costs $0.30 plus $0.005.

FAQ

What is Housing.com? Housing.com is a major Indian property portal for renting, buying and selling homes and commercial space. Listings come from owners, brokers and builders, and new projects are listed by developers.

How many listings can I get from one run? Up to your maxResults, within two limits. First, a run reads at most 80 pages: rent and commercial pages hold about 15 listings, so those searches stop near 1,200, and sale pages hold about 30, so a sale search can reach the 2,000 maximum. Second, time: in our 1 Oct 2026 tests 1,000 rentals took 252 seconds, 1,200 commercial rentals 278 seconds and 2,000 sale listings 288 seconds, which is close to the default run timeout of 300 seconds. For more than about 1,000 listings, set the timeout to 600 seconds under Run options. If a run does reach its timeout, it stops cleanly about 15 seconds before, keeps what it delivered and adds a summary row with ended_on_deadline: true. Listings it did not deliver are not charged.

Can I search a locality, a budget or a BHK? Not in the input. A run covers one whole city and one listing type. Filter the output on address, price, bhk or property_type afterwards.

Which cities are supported? The 32 listed under "Input parameters". Housing.com identifies each city by an internal code that cannot be worked out from its name, so the actor carries a checked list rather than accepting any text.

How fresh is the data? Each run reads Housing.com live when it starts. There is no cache. posted_on gives each listing's posting date.

Do I need a Housing.com account, cookies or an API key? No. The actor reads the same public search data Housing.com's own pages load for any visitor. It never logs in and uses no account.

Do I need a proxy? No setup is needed. The actor uses Apify's datacenter proxy by default and tries each page up to 3 times, on a fresh connection each time. Housing.com sometimes answers with HTTP 429 (too many requests); in our latest scheduled run three such answers were retried and the run delivered all 50 listings. If you call the actor through the API without a proxy setting, a page that fails 3 times gets one more try on an Indian residential proxy; set allowResidentialFallback to false to prevent that.

What happens if the first page fails? The run ends as failed with a summary row that holds the error, and no listings are charged. If a later page fails, the run stops there and keeps what it already delivered.

Why do commercial listings have no price? Housing.com gives commercial prices only as a label such as "₹15 Lacs" or "₹2.35 Cr", which the actor passes through in price_label. Convert it yourself if you need a number (1 lakh is 100,000 rupees and 1 crore is 10,000,000).

Can I run it on a schedule? Yes. Save your input as a task, then add a schedule in Apify Console under Schedules, for example weekly per city. The actor does not remember earlier runs, so compare listing_id values downstream to find new listings.

Which formats can I export? JSON, CSV, Excel, XML, RSS or HTML from the run's Storage tab, or through the Apify API. In CSV and Excel, list fields such as amenities are split into numbered columns.

Can I use it from Claude, ChatGPT or another AI assistant?

• Connector URL: https://mcp.apify.com/?tools=themineworks/housing-com-scraper.
• Claude: Settings > Connectors > Add custom connector, paste the URL, sign in with Apify.
• ChatGPT: developer mode, add an MCP connector with the URL, sign in with Apify.
• Cursor or VS Code: add it as an HTTP MCP server with that URL.
• Claude Code: claude mcp add -t http housing-com-scraper "https://mcp.apify.com/?tools=themineworks/housing-com-scraper".

Is it legal to scrape Housing.com? The actor collects only public listing data that any visitor can see without logging in: property details, prices, localities and photos. It returns no owner or broker names or phone numbers. You are responsible for how you use the data, including Housing.com's terms and data protection law such as GDPR, CCPA and India's DPDP Act. This is general information, not legal advice.

Integrations

• Google Sheets: send each run's dataset to a sheet with Apify's Google Sheets integration.
• Make, Zapier and n8n: start a run and read the listings with the official Apify modules and nodes.
• Webhooks: have Apify call your URL when a run finishes, then fetch the dataset.
• API: start runs and read results over HTTP, or with the Python and JavaScript clients.
• MCP clients: Claude, ChatGPT, Cursor and other MCP clients can call the actor through https://mcp.apify.com.

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Support

Found a bug or need a field we do not return? Open an issue in the Issues tab. Want a property portal or data source we do not cover yet? Email dmineworks@gmail.com. A guide for this actor also lives at themineworks.com.

Housing.com Scraper turns any of 32 Indian cities into clean property rows with prices, areas and map coordinates, from $0.60 per 1,000 listings.