Client Overview
Our client is an emerging real estate aggregator platform targeting to disrupt the property search experience across metro and tier-2 cities. Their platform lists residential, commercial, and rental properties accumulated from various listing sites, realtors, and property developers. The client's longstanding vision was to become a one-stop platform for buyers, renters, agents, and real estate firms looking for data-backed property discovery.
Client Requirements
To grow in a competitive sector and attract both users and real estate partners, the client required:
- Real time property listing data from various portals and agency websites.
- Property market insights to track pricing trends, location demand, property inventory fluctuations, and more.
- Effective promotion of better deals to entice new customers and investors with dynamic pricing visibility.
- Appeal realtors and property agents to register exclusively on their platform.
- Competitor benchmarking to assess how their listings and offers perform in compare to major competitors.
Challenges
Despite a capable platform and having a strong backend, the client met several hurdles:
- Inconsistent data across hundreds of sources made aggregation difficult.
- Manual curation of listings delayed the time-to-market for new deals.
- Low listing quality and outdated property information affected user trust.
- Poor distinction from established platforms reduced the appeal for realtors and brokers.
- Inadequate market insights disallowed smart promotion of properties based on real-time demand or pricing trends.
Techdataseeders Solutions
Techdataseeders arranged a tailored data scraping and analytics solution to meet the client's strategic and operational goals.
Real-Time Property Listing Scraping
Scraped data from top real estate portals, broker sites, and developer platforms to keep listings fresh and competitive.
Property Attribute Structuring
Extracted structured data such as pricing, size, location, amenities, furnishing, and ownership details.
Competitive Deal Analytics
Provided evaluation reports of similar listings by location, type, and price that helping the client creating and offer better deals.
Agent and Realtor Database
Collected verified contact information of local brokers and realtors to help the client expand their network.
Market Trends Dashboard
Built a dashboard showcasing rental yields, pricing patterns, and hot localities to assist in strategic decision-making.
Automated Feed Integration
Delivered clean datasets weekly via APIs compatible with their CMS for seamless publishing and analytics.
Benefits to the Client
- 75% upsurge in active property listings, covering 100+ cities and 300+ micro markets.
- Reduced listing onboarding time by 70% with automated data feeds.
- 25% growth in organic traffic due to improved deal listings and SEO optimized property pages.
- 310+ new realtor and broker partnerships established through improved agent outreach data.
- Improved platform stickiness with real-time pricing trends and intelligent sorting.
- Increased conversions by 21% with augmented deal visibility and competitive property recommendations.
Conclusion
Techdataseeders empowered the client to transform into a data enabled real estate platform, not just common listing aggregator. With real-time property data, competitive intelligence, and agent procurement support, they carved out a different presence in a highly competitive sector by offering value to both end-users and real estate professionals.