MagicBricks Scraper: India Property Prices & Rent

Scrape MagicBricks property listings across Indian cities — price, BHK, area, project, locality, poster and listing date. Rent or sale. Parses the site's structured schema.org data: no login, no browser, pay per property. Use it as an MCP server in Claude, ChatGPT & AI agents.

⚡ Part of a 74-scraper suite with 8,800+ runs · no login, no cookies, no ban risk.

💸 You are only charged for delivered results — empty searches, failed pages and duplicates are never billed.

What it does

MagicBricks is one of India's two largest property portals. This actor reads its public listing surface and returns one clean record per property: a stable property id, the listing title, whether it is for rent or sale, the numeric price with currency, BHK count, property type, built-up area in square feet, the named project or society, locality, city, who posted it, the listing and expiry timestamps, and a canonical URL.

Price and area come back as numbers, not display strings, so you can sort and aggregate without parsing "₹50,000" or "1,240 sqft" first.

Input

Field	Type	Required	Default	Description
city	string	no	"Bangalore"	Indian city name, e.g. Bangalore, Mumbai, Pune.
listingType	string	no	"RENT"	Rent or sale listings.
bedrooms	array	no	["2"]	BHK counts to search, e.g. 2 and 3. Each is a separate search page.
maxResults	integer	no	10	Maximum properties to return.

Example input

{
  "city": "Bangalore",
  "listingType": "RENT",
  "bedrooms": [
    "2"
  ],
  "maxResults": 10
}

Output

One record per property. Field list and example below are taken from a real run, not a mock-up.

Field	Type	Example
property_id	string	"4d423632373632343835"
title	string	"2 BHK Apartment for Rent in Rajajinagar Ba…
listing_type	string	"RENT"
price	number	50000
price_currency	string	"INR"
bhk	number	2
property_type	string	"Apartment"
area_sqft	number	1240
project	string	"Puravankara Purva Sunflower"
locality	string	"Rajajinagar"
city	string	"Bangalore"
posted_by	string	"Salman"
listed_at	string	"2026-07-26T23:45:22.000Z"
expires_at	string	"2026-09-24T23:45:22.000Z"
url	string	"https://www.magicbricks.com/propertyDetail…
scraped_at	string	"2026-07-27T08:24:12.230Z"

Example output

{
  "property_id": "4d423632373632343835",
  "title": "2 BHK Apartment for Rent in Rajajinagar Bangalore",
  "listing_type": "RENT",
  "price": 50000,
  "price_currency": "INR",
  "bhk": 2,
  "property_type": "Apartment",
  "area_sqft": 1240,
  "project": "Puravankara Purva Sunflower",
  "locality": "Rajajinagar",
  "city": "Bangalore",
  "posted_by": "Salman",
  "listed_at": "2026-07-26T23:45:22.000Z",
  "expires_at": "2026-09-24T23:45:22.000Z",
  "url": "https://www.magicbricks.com/propertyDetails/2-BHK-1240-Sq-ft-Multistorey-Apartment-FOR-Rent-Rajaji-Nagar-in-Bangalore&id=4d423632373632343835",
  "scraped_at": "2026-07-27T08:24:12.230Z"
}

Use cases

• Rental yield analysis — pull rent and sale listings for the same locality and compute gross yield per BHK band.
• Locality price tracking — run weekly to build a time series of asking prices per locality and project.
• Project-level supply monitoring — the project field groups listings by named development, showing how much inventory a builder has live.
• Broker versus owner mix — posted_by reveals how much of a market's supply is intermediated.
• Relocation and site-selection research — compare price per square foot across cities on a like-for-like BHK basis.

FAQ

Which cities are covered?

Any city MagicBricks itself lists. The city is an input, so coverage matches the portal's own.

Rent or sale?

Both — set listingType. Every record also carries listing_type so mixed datasets stay unambiguous.

Is area_sqft the carpet area or the built-up area?

It is the area MagicBricks displays on the listing, which is normally built-up. The portal does not consistently label which basis a given lister used, so the value is passed through rather than relabelled.

Why does the title format vary between runs?

MagicBricks serves different title formats to different exit IPs. The parser handles both known formats and fills locality and city from the request context rather than trusting the title, so the structured fields stay correct either way.

Billing

Pay per event: one property-scraped event per delivered record, charged only after the record is validated and stored. Empty results, blocked pages and duplicates are never charged. Store discounts apply automatically on paid Apify plans.

Use in Claude, ChatGPT & any MCP agent

This actor runs as an MCP server, so an AI agent can call it directly:

https://mcp.apify.com/?tools=themineworks/magicbricks-scraper

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("themineworks/magicbricks-scraper").call(run_input={"city": "Bangalore", "listingType": "RENT", "bedrooms": ["2"], "maxResults": 10})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Legal and compliance

This actor collects only publicly available information — the same data any visitor can see without logging in. It does not access private or authenticated areas, does not attempt to bypass paywalls, and collects no personal data beyond what the source already publishes openly. You are responsible for using the output in line with the source site's terms and with the data protection law that applies to you.

MIT © The Mine Works