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Stop Maintaining Scrapers — Use BuyWhere MCP for AI Agent Product Search

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"
})
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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:

More BuyWhere tutorials:


Star BuyWhere MCP on GitHub — the open-source product catalog API for AI agents.

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