Prompt

I'm building a product search tool, need catalog and pricing data API

Technology / API Platforms1 observationLast seen Oct 8, 2026

Latest observation

Oct 8, 2026OpenAI APIWeb search: off

If you need a product search tool, there are two broad options:

1) Use a product/catalog API provider

Good if you want fast integration and broad product coverage.

Common options:

  • Google Merchant Center / Content API — best if you’re managing your own product feed
  • Amazon Product Advertising API — Amazon products/pricing, with restrictions
  • eBay Browse API — product listings and pricing
  • Walmart API — catalog/product data in some regions/use cases
  • Best Buy API — catalog and pricing for Best Buy items
  • Syndigo / Salsify / Icecat — richer catalog data for retailers/manufacturers
  • Affiliates/data aggregators — often provide product + price + availability across merchants

2) Build your own catalog/pricing API from merchant feeds

Best if you need:

  • multi-vendor product search
  • normalized attributes
  • your own ranking/filtering
  • frequent price updates

Typical architecture:

  • ingest product feeds (CSV/XML/JSON/API)
  • normalize into a common schema
  • index into search engine (Elasticsearch / OpenSearch / Meilisearch)
  • maintain pricing/availability as separate high-frequency updates
  • expose your own API:
    • GET /search?q=...
    • GET /products/{id}
    • GET /products/{id}/offers
    • GET /categories
    • GET /facets?...

Recommended data fields

For catalog + pricing, you’ll usually want:

  • product ID / SKU / GTIN / UPC / MPN
  • title, description, brand
  • category taxonomy
  • images
  • attributes/specs
  • seller/merchant
  • price, currency
  • sale price
  • stock status
  • shipping/lead time
  • timestamp / last updated

Important considerations

  • Price freshness: pricing changes often, so cache carefully
  • Duplicates: same product from multiple merchants
  • Normalization: categories and attribute names vary a lot
  • Licensing/compliance: many APIs restrict storing/reselling data
  • Rate limits: pricing and search endpoints may need caching/backoff

If you want, I can help you with one of these next:

  1. Recommend the best API providers for your use case
  2. Design a catalog/pricing API schema
  3. Sketch an architecture for your product search tool
  4. Provide sample API code in Python/Node

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

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Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

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