Amazon Product Search

SkillSearch

Search Amazon products - find items, compare prices, read reviews

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Amazon Product Search skill

What this skill tells your AI

The instructions your AI receives, as published by criptogus/agent-evolve-network in .claude/skills/amazon-search/SKILL.md and read by ahel’s review.

Setup

Read your credentials from ~/.gooseworks/credentials.json:

export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")

If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login

All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"

Search for products on Amazon. Find items by keyword, category, or criteria.

When to Use

  • User wants to find a product on Amazon
  • User asks "find me a [product] on Amazon"
  • User wants to compare prices
  • User needs product recommendations

How It Works

Uses the SearchAPI Amazon Search engine to query Amazon's catalog.

Usage

Basic Product Search

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"amazon_search","q":"wireless earbuds"}}'
curl -X POST "https://api.orth.sh/v1/run" \

  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"amazon_search","q":"wireless earbuds"}}'

Search with Category

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"amazon_search","q":"laptop","category_id":"electronics"}}'

Parameters

  • engine (required) - Must be amazon_search
  • q (required) - Search query
  • category_id - Amazon category (electronics, books, etc.)
  • page - Page number for pagination

Response

Top-level keys: search_metadata, search_parameters, search_information, organic_results, filters, pagination.

Each item in organic_results array:

  • position (integer) - Result rank
  • asin (string) - Amazon product ID
  • title (string) - Product name
  • link (string) - Product page URL
  • image (string) - Product thumbnail URL
  • price (string) - Display price (e.g., "$69.99")
  • extracted_price (number) - Numeric price for comparison
  • original_price / extracted_original_price - Pre-discount price (if on sale)
  • currency (string) - Currency code (e.g., "USD")
  • rating (number) - Star rating (0-5)
  • reviews (integer) - Number of reviews
  • is_prime (boolean) - Prime eligible
  • is_best_seller / is_amazon_choice (boolean) - Badge flags
  • delivery (string) - Delivery estimate text

Pagination: Use page=2, page=3, etc. for more results.

Examples

User: "Find wireless earbuds on Amazon"

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"amazon_search","q":"wireless earbuds"}}'

User: "Search for laptops under $500"

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"amazon_search","q":"laptop under 500"}}'

User: "Find highly rated coffee makers"

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"amazon_search","q":"coffee maker best rated"}}'

Error Handling

  • 400 - Invalid engine name or missing q parameter
  • 401 - Invalid API key
  • 429 - Rate limit — wait and retry
  • Empty organic_results array means no products matched the query — try broader search terms
  • Use separate -q flags if & in query string causes issues: -q 'engine=amazon_search' -q 'q=wireless earbuds'

Signals

GitHub stars
308
Forks
1
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
amazon-search
Source
github.com/criptogus/agent-evolve-network