# MagicBricks India Property Listings & Agent Leads Scraper (`scrapers_lat/magicbricks-india-scraper`) Actor
Scrape MagicBricks India property listings with price (INR + per sqft), BHK, area, furnishing, floor, locality, geo coordinates and the advertiser (owner, dealer, agent or builder) with agency name and RERA ID. Filter by city, sale/rent, type. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/magicbricks-india-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Real estate, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $25.50 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## MagicBricks India Property Listings & Agent Leads Scraper
> Extract India property listings from MagicBricks, with price in INR and per sqft, BHK, area, furnishing, floor, locality, geo coordinates and the advertiser (owner, dealer, agent or builder) with agency name and RERA ID, in one dataset.
25+ fields per listing
Advertiser + RERA on every record
JSON / CSV / Excel output formats
### Who is it for
| Use case | Who benefits |
|---|---|
| Building lead lists of property advertisers by city | Real estate agents and brokerages |
| Tracking asking prices and price per sqft by locality | Analysts, investors and appraisers |
| Sourcing new project and builder inventory | Channel partners and marketers |
| Rental market monitoring | Property managers and portals |
| Enriching CRM with owner and dealer contacts | Sales and lead-gen teams |
### How to use it
1. Enter a **city** (for example `Mumbai`, `Delhi`, `Bangalore`, `Pune`).
2. Choose **For Sale** or **For Rent**.
3. Optionally filter by **property type** and **bedrooms (BHK)**.
4. Set **Max items** and press **Start**.
### Frequently Asked Questions
**Which properties does this scraper cover?**
It covers residential property listings across India's major cities, including apartments, builder floors, independent houses, villas, plots and more, for both sale and rent.
**Does it return the advertiser behind each listing?**
Yes. Each record includes whether the advertiser is an owner, dealer, agent or builder, along with the advertiser name, agency name, builder name and RERA ID when they are published on the listing.
**Can I filter by city, type and bedrooms?**
Yes. Filter by city, sale or rent, property type and number of bedrooms (BHK) to focus on your target segment.
**How many listings can I collect in one run?**
You control the volume with the Max items setting. Broad city searches span many pages of listings.
**What happens when a field is missing for a listing?**
Fields that are not published, such as RERA ID or geo coordinates, are returned as null for that record instead of a placeholder.
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [IndiaMART Suppliers & B2B Leads Scraper](https://apify.com/scrapers_lat/indiamart-suppliers-scraper): India B2B suppliers with company and contact details.
- [Singapore PropertyGuru Listings Scraper](https://apify.com/scrapers_lat/singapore-propertyguru-scraper): property listings with price, PSF and agent.
- [Zonaprop Argentina Real Estate Listings Scraper](https://apify.com/scrapers_lat/zonaprop-scraper): real estate listings with prices and details.
- [Google Maps Business Leads & Contacts Scraper](https://apify.com/scrapers_lat/google-maps-scraper): local business leads with phone, website and address.
- [Crexi Commercial Real Estate Listings Scraper](https://apify.com/scrapers_lat/crexi-scraper): commercial property listings and broker contacts.
- [Booking.com Hotels & Prices Scraper](https://apify.com/scrapers_lat/booking-hotels-scraper): hotel prices, ratings and availability.
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American, US and global public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with MagicBricks. It only accesses data that is publicly available on the platform. Use it in accordance with MagicBricks' terms of service.
# Actor input Schema
## `maxListings` (type: `integer`):
Maximum number of listings to return across all city searches.
## `cities` (type: `array`):
One or more cities to search properties in, e.g. Mumbai, Delhi, Bangalore, Pune, Hyderabad, Chennai, Gurgaon, Noida. Each city runs its own search in the same run.
## `transactionType` (type: `string`):
Whether to scrape properties for sale or for rent.
## `propertyType` (type: `string`):
Optional. Filter by property type. Leave empty for all residential types.
## `bedrooms` (type: `string`):
Optional. Filter by number of bedrooms (BHK). Leave empty for any.
## Actor input object example
```json
{
"maxListings": 30,
"cities": [
"Mumbai",
"Delhi"
],
"transactionType": "sale",
"propertyType": "",
"bedrooms": ""
}
````
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxListings": 30,
"cities": [
"Mumbai",
"Delhi"
],
"transactionType": "sale"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/magicbricks-india-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"maxListings": 30,
"cities": [
"Mumbai",
"Delhi",
],
"transactionType": "sale",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/magicbricks-india-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxListings": 30,
"cities": [
"Mumbai",
"Delhi"
],
"transactionType": "sale"
}' |
apify call scrapers_lat/magicbricks-india-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/magicbricks-india-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "MagicBricks India Property Listings & Agent Leads Scraper",
"description": "Scrape MagicBricks India property listings with price (INR + per sqft), BHK, area, furnishing, floor, locality, geo coordinates and the advertiser (owner, dealer, agent or builder) with agency name and RERA ID. Filter by city, sale/rent, type. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "jBNivbh4Z5IAxYYm9"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~magicbricks-india-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-magicbricks-india-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~magicbricks-india-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-magicbricks-india-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~magicbricks-india-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-magicbricks-india-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"maxListings": {
"title": "Max Listings To Scrape",
"minimum": 1,
"type": "integer",
"description": "Maximum number of listings to return across all city searches."
},
"cities": {
"title": "Cities",
"type": "array",
"description": "One or more cities to search properties in, e.g. Mumbai, Delhi, Bangalore, Pune, Hyderabad, Chennai, Gurgaon, Noida. Each city runs its own search in the same run.",
"items": {
"type": "string"
}
},
"transactionType": {
"title": "Transaction type",
"enum": [
"sale",
"rent"
],
"type": "string",
"description": "Whether to scrape properties for sale or for rent.",
"default": "sale"
},
"propertyType": {
"title": "Property type",
"enum": [
"",
"Apartment",
"Builder Floor",
"Independent House",
"Villa",
"Studio Apartment",
"Penthouse",
"Residential Plot",
"Farm House"
],
"type": "string",
"description": "Optional. Filter by property type. Leave empty for all residential types.",
"default": ""
},
"bedrooms": {
"title": "Bedrooms (BHK)",
"enum": [
"",
"1",
"2",
"3",
"4",
"5"
],
"type": "string",
"description": "Optional. Filter by number of bedrooms (BHK). Leave empty for any.",
"default": ""
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```