MagicBricks Scraper — India Real Estate Listings

MagicBricks Scraper is a NexGenData tool on Apify that returns property listings with price, area, type and location from MagicBricks.

Scrape live India property listings from MagicBricks — price, area, locality, BHK and property type — for sale or rent, across Mumbai, Bangalore, Delhi NCR, Pune, Hyderabad, Chennai and 100+ other Indian cities.

Market data for your research. Not investment, valuation or financial advice.

📊 Sample Output

property_id	title	city	locality	property_type	price_inr
86420697	2 BHK Flat for Sale in Anjanapura Bangalore	Bangalore	Anjanapura	Apartment	9720000
86420693	2 BHK Flat for Sale in Anjanapura Bangalore	Bangalore	Anjanapura	Apartment	9990000
86420691	2 BHK Flat for Sale in Anjanapura Bangalore	Bangalore	Anjanapura	Apartment	9950000
86420683	2 BHK Flat for Sale in Anjanapura Bangalore	Bangalore	Anjanapura	Apartment	9540000
86582385	1 BHK Flat for Sale in Devanahalli Bangalore	Bangalore	Devanahalli	Apartment	8080000
86582139	1 BHK Flat for Sale in Devanahalli Bangalore	Bangalore	Devanahalli	Apartment	6620000

Real rows from run s4KqyA4rG445nI6KH on build 0.0.13 (2026-09-25), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.

🔧 Input reference

Field	Type	Default	What it does
city	string	"Bangalore"	Indian city to scrape property listings for. MagicBricks indexes 100+ Indian cities; the highest-volume markets are: Mumbai (Bandra, Andheri, Powai, Worli, Lower Parel, Thane, Nav…
propertyType	string (apartment, villa, plot, commercial, any)	"apartment"	Property category. 'apartment' covers multistorey apartments / flats / builder floors — the dominant supply in Indian Tier-1 metros (Mumbai, Bangalore, Hyderabad). 'villa' covers…
listingType	string (sale, rent)	"sale"	Whether to scrape sale listings or rent listings. Indian property buyers and brokers typically work one side: builders / developers / NRI investors focus on 'sale', while corporat…
bhk	array of string	["2"]	BHK = Bedroom, Hall, Kitchen — the standard Indian property bedroom-count notation. 1BHK = studio / 1-bedroom (Mumbai compact apartments, PG-friendly). 2BHK = the volume tier for…
budgetMinInr	integer	0	Lower bound on listing price in Indian Rupees (INR). 1 lakh = 100,000 INR; 1 crore = 10,000,000 INR. Common buyer tiers for residential SALE: 40 lakh = entry-level Tier-2 city apa…
budgetMaxInr	integer	10000000	Upper bound on listing price in INR. Example: pass 10000000 (= 1 crore) to filter out luxury listings and focus on the mid-market / first-time buyer tier; pass 5000000 (= 50 lakh)…
maxResults	integer	10	Hard cap on total listings returned per run (1-2000). Each listing is one MagicBricks property record. Most recent / featured listings are returned first. Premium per-listing pric…
notionConnector	string		Optional. Connect your Notion workspace and the listings are also written as a Notion page in the same run — the Actor never sees your Notion credentials. Authorize a Notion MCP c…
notionParentId	string		Optional Notion page ID to create the page under. Blank = a private page in your workspace.

🧾 JSON sample record

One real record from run s4KqyA4rG445nI6KH (emails/phones masked, long text shortened):

{
  "property_id": "86420697",
  "title": "2 BHK Flat for Sale in Anjanapura Bangalore",
  "city": "Bangalore",
  "locality": "Anjanapura",
  "builder": "",
  "bhk": 2,
  "property_type": "Apartment",
  "area_sqft": 1281,
  "price_inr": 9720000,
  "price_display": "₹97.2 Lac",
  "price_per_sqft": 7587.82,
  "listing_type": "sale",
  "contact_url": "https://www.magicbricks.com/propertyDetails/2-BHK-1281-Sq-ft-Multistorey-Apartment-FOR-Sale-AnjanaPura-in-Bangalore&id=4d423836343230363937",
  "source_url": "https://www.magicbricks.com/",
  "data_source": "MagicBricks SRP HTML + Playwright detail",
  "scraped_at": "2026-09-25T03:25:54.853572Z"
}

💰 Pricing

Event	Price (USD)	When it is charged
Actor Start (apify-actor-start)	$5e-05	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
Listing (apify-default-dataset-item)	$0.05	Charged per MagicBricks property listing returned

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.05 = $5.00 plus the start fee.

🔗 Related Actors

More from the NexGenData India & South Asia family:

• India Government Tenders — GeM & CPPP
• India MCA Company Search — Registry Data API
• India MCA Director Filings — OGD Registry API
• India MCA INC-22/32 Filings — Registry API

8 more in this family on the NexGenData Store page.

⏰ Run this as a daily price/listing watch (recommended)

Prices and inventory move constantly. Schedule a daily sweep (0 7 * * *) and track changes over time.

📊 What you get

Clean JSON, one record per listing. The real field names are:

• property_id — MagicBricks listing id
• title — listing headline as posted (e.g. "2 BHK Flat for Sale in Anjanapura Bangalore")
• city — city searched
• locality — locality, from the card or derived from the listing title
• builder — project / developer name where MagicBricks exposes one (empty when it does not)
• bhk — bedroom count
• property_type — e.g. Multistorey Apartment, Villa, Residential Plot
• area_sqft — advertised area
• price_inr — price in rupees (total for sale, per month for rent)
• price_display — Indian-format price string, e.g. "₹ 97.2 Lac"
• price_per_sqft — derived ₹/sqft
• listing_type — sale or rent
• contact_url — the MagicBricks listing URL

Not output: property age, furnishing and posting date. The MagicBricks search page this actor reads did not supply them in our test runs (empty on every row), so they were removed rather than shipped as empty columns. Open contact_url for those details.

• source_url, data_source, scraped_at — provenance

Fields MagicBricks does not publish on a given listing are returned empty. Nothing is invented.

💵 Pricing

Pay-per-event — you pay only for listings that land in your dataset:

• Actor start: $0.00005 per run (per GB of run memory)
• Result: $0.05 per listing — 20 listings per $1

10 listings ≈ $0.50 · 100 listings ≈ $5.00 · a daily 50-listing watch ≈ $75 / month.

✅ Run outcomes

Every delivered row is a real listing read from magicbricks.com during that run.

• Listings found — run succeeds, you are charged per listing.
• MagicBricks matched nothing (its "no search results" page) — run succeeds with 0 rows and a status message telling you which filter to widen. Nothing is charged.
• MagicBricks blocked, served a holding page, or changed its markup — the run fails with a status message naming the cause. No rows, no charge.

The actor never writes reference, sample, placeholder or status rows into the dataset.

🤖 Use with AI agents

Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull data on demand.

Sample agent prompt:

Find 2BHK apartments for rent in Mumbai under ₹1.5 lakh a month, with locality, rent and listing link.

Optional Notion delivery: connect your own Notion MCP connector and the run also writes the listings to a Notion page. The actor never sees your Notion credentials.

🚀 Quick start

{
  "city": "Bangalore",
  "propertyType": "apartment",
  "listingType": "sale",
  "bhk": ["2"],
  "budgetMaxInr": 10000000,
  "maxResults": 10
}

🔗 Related actors

Global property data — listings and prices across seven markets:

Zillow (US) · Redfin (US) · Rightmove (UK) · Boliga (Denmark) · Centaline (Hong Kong)

Agent front doors: Real Estate MCP · Redfin MCP

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Public web data, assembled for research and monitoring.