Realhub Social Network — Real Estate Data Scraping API
Django-based scraping API handling thousands of daily real estate extractions with proxy rotation and automated data normalization
Project Showcase
The Problem
Real estate agents needed aggregated property data from multiple sources (listings, prices, availability) but manual collection was time-consuming and error-prone. Existing tools lacked scalability and reliable proxy handling for anti-bot protection.
Our Solution
Built a Django REST Framework API with Celery + Redis for distributed scraping tasks. Integrated proxy rotation networks to bypass rate limits and anti-bot measures. Created automated data normalization pipeline to standardize heterogeneous listing formats into unified schema.
Outcome
- 5,000+ daily updates processed automatically - 60% reduction in data collection time - Scalable architecture supporting multiple concurrent extraction workers - Live Telegram/Discord alert bots for monitoring failures and successes
Key Features
- - Multi-source real estate data aggregation
- - Proxy rotation with automatic fallback
- - Celery + Redis distributed task queue
- - Automated data normalization and deduplication
- - RESTful API for data consumption
- - Real-time monitoring alerts
Tech Stack
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