Web Price Extraction: State of the Art and an Adaptive Browserless Implementation
Price extraction from websites is a key task for market monitoring, price comparison, and business analytics in e-commerce. Existing approaches can be broadly divided into four groups, and understanding their trade-offs in accuracy and scalability is essential for selecting suitable extraction strategies. Classical methods rely on manually written wrappers and rule induction from labeled pages, offering high accuracy but adapting poorly to structural changes and requiring considerable maintenance effort. Browser-based methods, using tools such as Selenium and Puppeteer, handle dynamic JavaScript content but consume large computational resources and scale poorly. Browserless approaches ret...
| Authors | Evgeniia Kositsyna, Jorge Lloret-Gazo |
|---|---|
| Primary category | cs.IR |
| Published | 1 September 2026 |
| Last updated at source | 1 September 2026 |
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