Designed for deep restaurant discovery, this workflow pulls structured dining information from Tabelog’s Osaka listings. It captures restaurant ratings, review volume, pricing tiers, and direct restaurant links, enabling travellers, food platforms, and researchers to evaluate dining quality, popularity, and budget expectations before choosing where to eat.

This workflow extracts restaurant business listings from Superpages for Los Angeles, supporting local discovery and business research. It retrieves business names, phone numbers, website URLs, and physical addresses, streamlining data collection for travellers, food discovery platforms, marketers, and analysts seeking accurate restaurant contact information in Los Angeles.

This workflow extracts destination data from TripAdvisor for Rome, supporting travel planning and tourism analysis. It retrieves destination names, ratings, images, and direct destination links, streamlining data collection for travelers, travel platforms, content creators, and tourism analysts exploring top-rated places to visit in Rome.