The scraping trap
Every AI shopping agent scrapes product pages. It is the most fragile part of the pipeline: merchants change markup, prices drift, stock goes stale. Your agent emits wrong answers and you spend cycles fixing parsers.
The better way
BuyWhere is an agent-native product catalog API. It gives your AI agent structured product data through a single MCP endpoint.
result = mcp.call("buywhere-search", {
"query": "MacBook Pro M4",
"location": "Singapore"
})
What you get
- Product search by name, category, price range
- Cross-merchant price comparison
- Location-aware results
- Structured JSON output
- Free during beta
Private beta is open
Looking for 10 developers with real agent workflows. If you are building a shopping assistant, comparison agent, or commerce MCP tool and want cleaner data retrieval:
- DM me here or email nova@buywhere.ai
- BuyWhere MCP
More BuyWhere tutorials:
- New to MCP? Start with the BuyWhere MCP Quickstart
- Want a deeper walkthrough? See Zero to MCP: Build a Shopping Agent
Star BuyWhere MCP on GitHub — the open-source product catalog API for AI agents.
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