A high-performance tool for extracting structured real estate data from Magicbricks property search pages. It automates large-scale property data collection, helping analysts, investors, and agencies gather actionable insights with accuracy and speed. This scraper simplifies accessing Magicbricks listings for research, lead generation, and market intelligence.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project automates the extraction of structured property listing data from Magicbricks search result pages. It eliminates the need for manual browsing and enables scalable real-estate data collection from India’s largest property marketplace.
- Collects structured property data at scale for analysis and research.
- Supports multiple search result URLs in one run.
- Reduces manual effort in tracking pricing, availability, and features.
- Ideal for investors, analysts, agencies, and anyone studying India’s real estate market.
- Helps build property datasets for applications, dashboards, and reports.
| Feature | Description |
|---|---|
| Multi-URL Support | Extracts listings from multiple Magicbricks search pages in one run. |
| Proxy Rotation | Built-in proxy support reduces blocking and improves scraping reliability. |
| Structured Output | Returns detailed JSON containing prices, amenities, location, seller info, and more. |
| Large-Scale Extraction | Efficiently handles bulk URL lists and deep pagination. |
| Error Handling | Automatic retries and stability safeguards for dynamic pages. |
| Real-Estate-Specific Fields | Extracts rich property details tailored for market research and valuation. |
| Field Name | Field Description |
|---|---|
| id | Unique identifier for the property listing. |
| url | Direct link to the detailed property page. |
| name | Title or headline of the property listing. |
| posted_date | Timestamp of when the listing was added. |
| amenities | Comma-separated list of property amenities. |
| price | Property price value. |
| price_per_sq_ft | Price per square foot. |
| currency | Currency symbol used in the listing. |
| description | Main description text of the property. |
| seo_description | Search-engine optimized description from the listing. |
| landmark_details | Distance and proximity details to known landmarks. |
| landmark | Primary landmark reference. |
| location | Latitude and longitude coordinates. |
| owner_name | Name of the property seller or agent. |
| company_name | Agency or company representing the listing. |
| carpet_area | Usable carpet area. |
| covered_area | Total covered area. |
| balconies | Number of balconies. |
| bathrooms | Total bathrooms. |
| facing | Direction the property faces. |
| floors | Total floors in the property or project. |
| city_name | City where the listing is located. |
| bedrooms | Total bedrooms. |
| address | Full formatted address. |
| image_url | Representative image URL for the property. |
[
{
"id": "56740169",
"url": "2-BHK-850-Sq-ft-Builder-Floor-Apartment-FOR-Sale-Rohini-Sector-24-in-New-Delhi-r10&id=4d423536373430313639",
"name": "2BHK Builder Floor Apartment for Resale in Sector 24 Rohini",
"posted_date": "2024-11-20T11:59:24.000Z",
"amenities": "Visitor Parking,Intercom Facility",
"price": 5900000.0,
"price_per_sq_ft": 6941.0,
"currency": "₹",
"description": "2 BHK This a semi furnished 2 bedrooms flat is located on the First floor...",
"seo_description": "2 BHK flat is offered for sale in Rohini Sector 24...",
"landmark_details": [
"19201|9.9 Km from Mundka Metro Station",
"19210|1.1 Km from Rithala Metro Station-Red Line",
"19202|0.5 Km from Delhi Institute of Advanced Studies"
],
"landmark": "near vikas bharti school",
"location": "28.7297569,77.087787",
"owner_name": "Deepak Sharma",
"company_name": "Sharma Estate",
"carpet_area": 800.0,
"balconies": 1,
"bathrooms": 2,
"floors": 4,
"city_name": "New Delhi",
"bedrooms": 2,
"address": "New Delhi, Delhi NCR",
"covered_area": 850.0,
"cov_area_unit": "Sq-ft",
"operating_since": "2002",
"image_url": "https://img.staticmb.com/mbphoto/property/cropped_images/2024/Feb/13/Photo_h180_w240/56740169_7_PropertyImage1707814310779_180_240.jpg"
}
]
Magicbricks Property Search Scraper/
├── src/
│ ├── main.py
│ ├── scraper/
│ │ ├── property_parser.py
│ │ ├── url_manager.py
│ │ └── request_handler.py
│ ├── utils/
│ │ ├── proxy_manager.py
│ │ └── formatter.py
│ ├── config/
│ │ └── settings.example.json
│ └── outputs/
│ └── exporter.py
├── data/
│ ├── sample_output.json
│ └── sample_urls.txt
├── requirements.txt
└── README.md
- Real estate analysts use it to track pricing trends and locality insights, enabling stronger investment recommendations.
- Property consultants extract large datasets to generate qualified leads and identify high-demand listings.
- Investors monitor new listings in targeted regions to identify undervalued or lucrative opportunities faster.
- Agencies populate CRMs or dashboards with structured property listings for marketing and competitive analysis.
- Researchers study real-estate market behavior using consistent, structured time-series data.
Q: Can this scraper handle multiple Magicbricks URLs at the same time? Yes, you can provide multiple search URLs, and the scraper processes each sequentially or in parallel depending on configuration.
Q: What if some URLs fail due to rate limits or timeouts? The scraper includes retry logic and proxy rotation to reduce failure rates and improve consistency.
Q: Does it support scraping deep pagination?
Yes, depending on the max_items_per_url setting, the scraper automatically follows pagination where available.
Q: Can I use this output for analytics dashboards or BI tools? Absolutely — the structured JSON integrates easily into BI pipelines, databases, and automation workflows.
Primary Metric: Processes an average of 25–40 listings per minute per URL depending on page complexity.
Reliability Metric: Maintains a 96%+ successful retrieval rate with proper proxy configuration.
Efficiency Metric: Optimized request batching and retry logic reduce redundant fetches by ~35%.
Quality Metric: Field completeness above 92% due to robust selectors and fallback extraction logic.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
|
"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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