RentRadar
Competitive intelligence platform for the car rental market, powered by large-scale high-frequency data collection.
About the Project
RentRadar is a competitive intelligence and pricing analysis platform built for the car rental market. It helps teams compare providers side by side, monitor price positioning, and understand which suppliers are driving wins, losses, or neutral outcomes across destinations.
At the core of the system is a high-load data collection pipeline. RentRadar continuously scrapes provider data across 50 geolocations and 10 booking scenarios for each location, running several times per day to keep market visibility fresh and operationally useful.
The scraping layer was designed for demanding third-party environments and relies on a dedicated proxy pool, browser automation, captcha solving, and resilient recovery logic. This makes it possible to gather data reliably at scale and turn raw market signals into actionable benchmarking inside the dashboard.
Key Features
- Large-Scale Market Coverage: The platform collects rental data across 50 geolocations and 10 booking scenarios per location, giving teams broad and structured market visibility.
- High-Load Scraping Infrastructure: A dedicated proxy pool, browser automation, captcha solving, and fault-tolerant workflows support repeated data collection several times a day.
- Provider Benchmarking: Teams can compare providers side by side and quickly see where each provider is winning, losing, or matching the market.
- Supplier-Level Analysis: Detailed views of top providers and local suppliers help identify which supply sources are shaping performance in each market.
- Filter-Driven Exploration: Destination, rental format, car class, insurance, supplier, and tolerance filters make it easy to isolate the exact slice of the market that matters.
Technologies
Data Collection
Data & Storage
Frontend
Analytics
Results
- Automated high-frequency data collection across 50 geolocations
- 10 booking scenarios per location captured several times per day
- Reliable scraping in unstable provider environments using proxy routing, browser automation, and captcha solving
- Clear provider and supplier-level insights for data-driven pricing and commercial decisions