MagicBricks + 99acres Property Scraper - Prices, BHK, Area & Listings

Scrape Indian real-estate listings from MagicBricks and 99acres in one run, with prices, BHK, area, locality, project, images, and listing URLs. Export clean data to JSON, CSV, Excel, or HTML, or pull it via the Apify API — no login and no API key required.

Built with Node.js 20, TypeScript, and the Apify SDK using native fetch over Apify residential proxies, with retries and resilient extraction so runs are reliable and repeatable. The actor reads each portal's structured listing data (JSON-LD and embedded page state) instead of fragile DOM scraping.

What It Extracts

• Property title, source (MagicBricks or 99acres), and transaction type (sale or rent)
• City queried, locality, project name, and full address
• Price display text and parsed INR price
• BHK, property type, area and area unit, and area type (carpet / built-up / super built-up)
• Bedrooms, bathrooms, balconies, furnishing, status, and floor when available
• Latitude and longitude when published by the source
• Image URL, listing URL, short description, and scrape timestamp
• MagicBricks and 99acres records merged into one deduplicated dataset

The actor does not extract phone numbers, emails, or private contact details. If sensitive text appears in page descriptions, it is redacted before saving.

Use Cases

1. Real-estate market research for brokers, agencies, and proptech teams
2. Property price monitoring and trend tracking by city and locality
3. Competitor inventory tracking across major Indian portals
4. Rental market research and housing supply analysis
5. Investment, valuation, and location analytics across cities

Pricing

This actor uses Apify Pay Per Event pricing. You pay only for clean records delivered to the dataset — failed, blocked, or empty results are not billed.

Event name	Price per event	1,000 results	10,000 results
property-scraped	$0.003	$3.00	$30.00

Input

Field	Type	Required	Default	Description
source	string	yes	both	Which portal to scrape: both, magicbricks, or 99acres.
transactionType	string	yes	sale	Listing type: sale or rent.
cities	array	yes	["Mumbai"]	Indian city names, e.g. Mumbai, Pune, Bengaluru, Delhi, Chennai, Hyderabad.
minPrice	integer	no	—	Optional minimum price in INR. Listings with unknown prices are skipped when a price filter is set.
maxPrice	integer	no	—	Optional maximum price in INR. Listings with unknown prices are skipped when a price filter is set.
maxResults	integer	yes	50	Maximum unique listings to save (1–500).
proxyConfiguration	object	no	Residential, IN	Apify proxy settings. Residential with India targeting recommended.

Example Input

{
  "source": "both",
  "transactionType": "sale",
  "cities": ["Mumbai"],
  "maxResults": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "IN"
  }
}

How to Scrape MagicBricks and 99acres (Step by Step)

1. Click Try for free / Run.
2. Choose source: both, magicbricks, or 99acres.
3. Select transactionType: sale or rent.
4. Add one or more Indian cities, such as Mumbai, Pune, Bengaluru, Delhi, Chennai, or Hyderabad.
5. Optionally set minimum and maximum INR price filters, set maxResults (start small to test), then run and export results as CSV, JSON, or Excel.

Sample Output

{
  "source": "99acres",
  "transactionType": "sale",
  "cityQuery": "Mumbai",
  "propertyId": "H91004828",
  "title": "3 BHK Flat in Sewri, Mumbai",
  "propertyType": "Apartment",
  "bhk": 3,
  "price": 63200000,
  "priceDisplay": "Rs. 6.32 Crore",
  "area": 2036,
  "areaUnit": "sqft",
  "areaType": "Super Built-up Area",
  "bedrooms": 3,
  "bathrooms": 3,
  "furnishing": "Unfurnished",
  "status": "Under construction",
  "floor": "16",
  "projectName": "Lodha Aureus , Sewri",
  "locality": "Sewri, Mumbai",
  "city": "Mumbai South",
  "address": "Lodha Aureus , Sewri, Sewri, Mumbai, Mumbai South, India",
  "latitude": 19.000645,
  "longitude": 72.854859,
  "imageUrl": "https://imagecdn.99acres.com/media1/37936/8/758728772T-1778670458404.jpg",
  "propertyUrl": "https://www.99acres.com/3-bhk-bedroom-apartment-flat-for-sale-in-sewri-south-mumbai-2036-sqft-spid-H91004828",
  "scrapedAt": "2026-06-12T19:55:25.019Z"
}

API Example

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('magicbricks-99acres-property-scraper').call({
  source: 'both',
  transactionType: 'sale',
  cities: ['Mumbai'],
  maxResults: 10,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} properties`);

How It Works

1. Validates input and resolves the selected sources and cities.
2. Fetches MagicBricks and 99acres search pages over Apify residential proxies with retries.
3. Extracts structured listing data (JSON-LD and embedded page state), then cleans and normalizes fields.
4. Deduplicates by property ID / URL and applies optional price filters.
5. Charges property-scraped only after a clean record is saved, then writes to the Apify Dataset.

Known Limits

• Some fields are conditional: geo coordinates, floor, balconies, and deposit are only saved when the source publishes them. MagicBricks rarely exposes coordinates, so those may be null.
• Price filtering skips listings with an unknown price, since they cannot be compared.
• MagicBricks and 99acres can reject datacenter traffic. The default input uses Apify Residential proxy with India targeting for reliability.

Legal and Ethical Use

Use this actor for legitimate property listing data collection, real-estate market research, and price monitoring. You are responsible for complying with each portal's terms, privacy laws, and local regulations wherever you use the data.

Responsible Use

This Actor is intended for lawful collection of publicly available information only. Users are responsible for ensuring their use complies with the source website's terms, robots.txt, applicable privacy laws, including India's DPDP Act, and all local regulations.

Do not use this Actor to collect, store, sell, or misuse personal data without a lawful basis. The Actor author is not responsible for misuse by end users.

License

Apache-2.0. See LICENSE.