Web Crawling & Automation
From headless browser data collection
to web interaction automation
Tech Stack
Playwright
Headless Browser EngineChromium-based browser automation. Full support for JavaScript-rendered pages, SPAs, and dynamic content.
FastAPI
API Service LayerAsync Python web framework providing crawling jobs as APIs. Triggers tasks in coordination with Laravel.
APScheduler
Job SchedulingCron-based periodic collection scheduler. Set individual schedules per data source for automated execution.
PostgreSQL + asyncpg
Data StoreFlexible JSONB schema for unified storage from diverse sources. High-performance async DB driver.
Capabilities
Data Collection (Crawling)
- Portal search result collection (Naver, Google)
- Shopping mall product data (price, rank, reviews)
- Sales index/trend tracking
- Full JavaScript rendering support
- Auto pagination/infinite scroll
Web Automation (Action)
- Auto form filling & submission
- Login session management
- File upload/download automation
- Screenshot/PDF capture
- API-connected auto data transfer
Reliability & Scalability
- Random delay between requests (Rate Limiting)
- User-Agent/header rotation
- Auto retry with exponential backoff
- Proxy pool management
- Multi-browser parallel processing
Data Pipeline
- HTML parsing → structured data
- JSONB flexible schema storage
- Daily snapshots for trend tracking
- CSV/Excel export
- REST API external integration
Use Cases
E-commerce Monitoring
Track competitor prices, rankings, and review changes daily
Keyword Rank Tracking
Monitor keyword exposure rankings across portals and malls
Sales Index Analysis
Daily collection and trend analysis of sales indices from YES24, Aladin, etc.
Content Collection
Monitor brand mentions in news, blogs, and online communities
Price Comparison
Collect and compare identical product prices across multiple malls
Periodic Reports
Auto-generate daily/weekly reports based on collected data
Need crawling technology?
Use our SaaS directly, or request a custom crawler build.