Data-Driven Real Estate: Scraping Property Data from 99acres

The Indian real estate market is expanding rapidly across major hubs like Noida, Mumbai, and Bangalore. For property developers, valuation agencies, and brokerages, accessing listing data from portals like 99acres is essential for tracking market values. The **Datablow 99acres Scraper** on Apify automates this, bypassing platform security challenges to extract property listings, prices, and agent contacts.

Bypassing Advanced Scraping Blockers

99acres employs strict anti-bot systems, including device fingerprinting and Cloudflare walls. Standard scrapers are blocked instantly. The Datablow scraper simulates real browser sessions using stealth extensions, allowing it to navigate listings and extract data without detection.

Comprehensive Real Estate Fields Collected

Our 99acres Scraper collects detailed listing data, including:

• Property Info: Title, description, property type (flat, villa, plot), configuration (BHK), and area (sq. ft.).
• Pricing: Total price, price per square foot, and monthly maintenance fees.
• Details: Floor number, building age, society name, and amenities (parking, gym, pool).
• Contacts: Advertiser name, verified mobile number, and registration type (owner, agent, builder).

Use Cases in Valuation and Investment

Using the 99acres Data Scraper, you can map pricing trends across different zip codes to identify undervalued projects. Property management firms can track rental listing supplies to adjust their rates, and agencies can locate verified agent listings to identify active brokers for partnerships.

How to Get Started

Visit the scraper page on Apify, enter your target search parameters (such as city or search URLs), and run the actor. The scraper will compile the listings, exporting them into structured datasets for your analytic platforms.