mcpbeat

Amazon Search

gooseworks-ai/amazon-search

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

1k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1086
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/gooseworks-ai/goose-skills --skill amazon-search

What comes with it

281 bytes besides the instruction
skill.meta.json

The instruction itself

11 sections, as written by the author

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

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"}}'

<details>

<summary>curl equivalent</summary>

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"}}'

</details>

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'

How to use it

Copy the folder

Take gooseworks-ai/amazon-search from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npx. Without those the skill loads but fails at the first command.