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The Challenge

Our client, a real estate investment and analytics firm, wanted to collect commercial property data from 99acres – including property type, location, price, area, amenities, and broker details. Manual research across thousands of listings was inefficient and couldn’t keep up with daily market changes.

Hurdles We Faced

• Dynamic Listings: 99acres uses JavaScript-based content loading, making static scraping unreliable.
• Anti-Bot Restrictions: Frequent scraping triggered IP blocks and CAPTCHA checks.
• Varied Data Formats: Listings differed by property type (office, retail, warehouse, etc.), requiring flexible parsing.
• Frequent Market Updates: Property prices, statuses, and new listings changed rapidly.

Our Step-by-Step Approach

Requirement Analysis:
Defined essential fields – property type, location, price, size, amenities, and agent contact details.

Proxy & Anti-Bot Management:
Integrated rotating proxies, randomized intervals, and headless browser automation to bypass detection.

Custom Scraper Development:
Built tailored Python scripts to extract both sale and lease listings for all commercial categories.

Data Cleaning & Standardization:
Normalized extracted fields for consistency, ensuring accurate filtering and comparison across property types.

Automation & Scheduling:
Deployed a scheduled scraping system to refresh data daily, maintaining an always-updated property database.

Results & Impact

• Automated extraction of thousands of commercial property listings from 99acres.
• Delivered structured, analytics-ready datasets for market research and pricing insights.
• Reduced manual effort while ensuring real-time visibility into market trends.

Our Services & Expertise

At Ascendance Solutions, we specialize in:

• Real Estate Data Scraping & Aggregation
• Proxy-Driven Automation for Dynamic Platforms
• Data Structuring & Integration for Analytics Tools

📧 Connect with us at connect@ascendancesolutions.com to automate commercial property data collection for your business.