EMBEDEARTH / SEARCH API
Restaurant Search API
Find and rank restaurants using cuisine, hours, price, service style, neighborhood context, and real travel time.
SEARCH WORKFLOW
From intent to results that remain useful in maps, routes, and spatial analysis.
Query Restaurants as Spatial Data, Not Just Text
EDK turns restaurants into queryable geographic features. Use a restaurant search API to find candidates by location and intent, not only exact names. Search across regions, radii, polygons, or the current viewport and receive data ready for GeoJSON, maps, ranking, or spatial analysis.
Filter Restaurants by the Attributes Users Actually Care About
Filter restaurant search by cuisine, service style, opening context, price signals, brand, or neighborhood. Combine restaurant attributes with location so “Italian restaurants near Union Square” and “late-night food near my hotel” become structured queries rather than keyword matching.
Power “Restaurants Near Me” and Nearby Search
Power “restaurants near me” with radius search, walk-time ranking, cuisine filters, and neighborhood context. A restaurant 300 meters away may be less useful than one five minutes away on the street network, so EDK can rank nearby restaurant results using travel time rather than raw coordinate distance.
Make Restaurants Search Route-Aware
Combine restaurant search API with EDK routing so search and directions work together. Find restaurants along a route, compare arrival times, or constrain results to a reachable area. The routing layer is especially useful when roads, transit access, barriers, or detours change what “nearby” means.
Explore Restaurants with Viewport-Based Map Search
Use restaurant map API to build an interactive explorer rather than a static overlay. Viewport bounds drive search, zoom controls detail, and selected restaurants can open related geography such as hotels or offices. The same query layer can support a public map or internal dashboard.
Analyze Restaurants Coverage, Competition, and White Space
Measure where restaurants cluster, where competitors overlap, and which neighborhoods or corridors are underserved. Combine restaurant search API results with population, offices, transit, roads, or surrounding businesses to create trade-area and white-space analysis without exporting the workflow to a separate GIS tool.
Give AI Agents Real Restaurants Tools
Give an AI travel or local-discovery agent a restaurant search tool it can actually execute. A request like “find ramen within a 10-minute walk of my hotel, open late and near nightlife” can become structured place search, routing, and ranking instead of an LLM guessing from web text.
Use Restaurants from API, SDK, CLI, or MCP
Start with restaurant search API and add only the EDK primitives the product needs: geocoding, maps, routing, vector tiles, spatial compute, or MCP. Teams can keep one restaurants model across browser experiences, backend services, pipelines, and AI workflows.
ONE GEOGRAPHIC WORKFLOW
Search, map, route, and compute with EDK.
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