Ecommerce Amazon Search Agent Skill

Amazon Product Search

This skill guides you on how to perform Amazon storefront search simulations, helping Amazon sellers retrieve real-time search result data including product rankings, prices, ratings, and more.

Core Concepts

This tool simulates a real user searching on Amazon's storefront. It returns live search result page (SERP) data: product listings with their positions, prices, ratings, review counts, brands, delivery info, sponsored flags, and more. This is real-time data directly from the Amazon frontend, not historical analytics.

Key distinction from ABA data: ABA data is aggregated historical search term analytics. This tool returns the actual product listings a user would see when searching a keyword on Amazon right now.

Keyword language: Keywords should be in the language of the target marketplace. For example, use English keywords for amazon.com, German keywords for amazon.de, Japanese keywords for amazon.co.jp, etc.

Parameters

| Parameter | Type | Required | Description | Default |

|-----------|------|----------|-------------|---------|

| keyword | string | No | Search keyword (translate to the target marketplace's language) | - |

| amazonDomain | string | No | Amazon marketplace domain | amazon.com |

| node | string | No | Amazon category node ID for category-scoped searches | - |

| language | string | No | Language locale code (e.g., en_US, de_DE, ja_JP) | - |

| sort | string | No | Sort order for results | relevanceblender |

| page | integer | No | Page number (starting from 1, ~20 results per page) | 1 |

| deliveryZip | string | No | Postal/zip code for delivery location simulation | - |

| device | string | No | Device type: desktop, mobile, or tablet | desktop |

Supported Marketplaces

| Domain | Country |

|--------|---------|

| amazon.com | United States |

| amazon.co.uk | United Kingdom |

| amazon.de | Germany |

| amazon.fr | France |

| amazon.it | Italy |

| amazon.es | Spain |

| amazon.co.jp | Japan |

| amazon.ca | Canada |

| amazon.com.au | Australia |

| amazon.com.br | Brazil |

| amazon.in | India |

| amazon.nl | Netherlands |

| amazon.se | Sweden |

| amazon.pl | Poland |

| amazon.sg | Singapore |

| amazon.sa | Saudi Arabia |

| amazon.ae | United Arab Emirates |

| amazon.com.mx | Mexico |

| amazon.com.tr | Turkey |

| amazon.com.be | Belgium |

| amazon.cn | China |

| amazon.eg | Egypt |

Default marketplace is amazon.com. Use amazon.com when the user doesn't specify a marketplace.

Sort Options

| Value | Description |

|-------|-------------|

| relevanceblender | Featured / Relevance (default) |

| price-asc-rank | Price: Low to High |

| price-desc-rank | Price: High to Low |

| review-rank | Average Customer Review |

| date-desc-rank | Newest Arrivals |

| exact-aware-popularity-rank | Best Sellers |

Usage

• API Endpoint: POST /amazon/search (see references/api.md for full parameters/response/error codes)
• Python Script: python scripts/amazon_search.py '<JSON params>' [--inline]
• Cost Constraint: This tool consumes credits. The same session+parameter combination is called only once by default; the script has a 24h local cache. Do not auto-retry with different keywords, pages, or zip codes on failure/empty results. Ask the user before additional queries that will incur cost.

Output Strategy (default script behavior):

• Always write the full response to <cwd>/nexscope/<YYYY-MM-DD>/<session>/data/nexscope-amazon-search-<timestamp>.json (<cwd> is the current working directory; <session> is from SESSION_ID env var, auto-grouped by user task; do not write to /tmp, error if current directory is not writable)
• Response ≤ 8 KB: print full JSON to stdout after saving
• Response > 8 KB: stdout prints only a summary (top-level fields, counts like total/costToken, length of largest list fields + first 3 samples)
• Add --inline to force full stdout output (still saves to disk)

Data Reading Tip: Check the summary first. Use jq or ConvertFrom-Json to extract specific fields from the saved JSON file, avoiding loading the full payload into context.

Authentication and Credits

If authentication fails or credits are depleted:

• Ensure NEXSCOPE_API_KEY is set as an environment variable.
• For 401/402 errors or insufficient balance messages, direct the user to https://www.nexscope.ai/help/skills-external-access?co-from=skillNS to top up credits.

How to Build Queries

Construct the request parameters based on the user's intent:

• Determine the marketplace: Map the user's target country to the correct amazonDomain value
• Set the keyword: Translate the search term into the target marketplace's language
• Choose sort order: If the user wants results sorted by price, reviews, or newness, set the sort parameter
• Pagination: Use the page parameter to fetch additional result pages if needed
• Category scope: If the user wants to search within a specific category, provide the node parameter
• Delivery simulation: Use deliveryZip to see location-specific availability and delivery info

Usage Examples

1. Basic keyword search on US marketplace

{"keyword": "wireless earbuds", "amazonDomain": "amazon.com"}

2. Search on German marketplace with German keyword

{"keyword": "kabellose Kopfhoerer", "amazonDomain": "amazon.de", "language": "de_DE"}

3. Search sorted by price (low to high)

{"keyword": "phone case", "amazonDomain": "amazon.com", "sort": "price-asc-rank"}

4. Search for best sellers in a category

{"keyword": "yoga mat", "amazonDomain": "amazon.com", "sort": "exact-aware-popularity-rank"}

5. Search for newest arrivals on Japan marketplace

{"keyword": "USB charger", "amazonDomain": "amazon.co.jp", "language": "ja_JP", "sort": "date-desc-rank"}

6. Multi-page search to analyze deeper results

{"keyword": "laptop stand", "amazonDomain": "amazon.com", "page": 2}

7. Mobile device search simulation

{"keyword": "running shoes", "amazonDomain": "amazon.com", "device": "mobile"}

8. Category-scoped search with delivery zip

{"keyword": "office chair", "amazonDomain": "amazon.com", "deliveryZip": "10001"}

Display Rules

• Present data clearly: Show search results in well-structured tables with key fields: position, ASIN, title, price, rating, review count, brand
• Highlight sponsored products: Clearly mark which results are sponsored ads vs organic listings
• Price formatting: Display prices with the correct currency symbol for the marketplace
• Position context: Remind users that position reflects the actual ranking on the search result page
• Pagination notice: When results span multiple pages, inform the user how many total results were found and suggest fetching additional pages if needed
• Error handling: When a query fails, explain the reason based on the error response and suggest adjusting parameters
• Image links: If image URLs are available, mention them but do not attempt to render them inline unless the user requests it

Important Limitations

• Real-time only: This tool returns live search results, not historical data. For historical search term analytics, use ABA data instead
• Rate awareness: Each call simulates a real search request; avoid excessive rapid-fire calls
• ~20 results per page: Each page returns approximately 20 product listings
• Keyword language matters: Results quality depends on using the correct language for the target marketplace

User Expression & Scenario Quick Reference

Applicable -- Real-time Amazon search result queries:

| User Says | Scenario |

|-----------|----------|

| "Search for XX on Amazon" | Basic product search |

| "What products appear for keyword XX" | Keyword SERP analysis |

| "Where does my ASIN rank for XX keyword" | Position / ranking check |

| "Show me the top results for XX" | Competitive landscape |

| "What's the price range for XX" | Price comparison |

| "Any sponsored products for XX keyword" | Sponsored ad analysis |

| "New products for XX keyword" | New arrival monitoring |

| "Search XX on Amazon Germany/Japan/UK" | Cross-marketplace search |

| "What are the best sellers for XX" | Best seller discovery |

| "Compare search results on mobile vs desktop" | Device-specific SERP |

Not applicable -- Needs beyond real-time search results:

• Historical search term volume or ranking trends (use ABA data)
• Advertising campaign management or bid optimization
• Product review analysis or sentiment analysis
• Sales estimation or revenue analytics
• Listing optimization or copywriting suggestions
• Inventory or supply chain data

Boundary judgment: When users say "product research" or "competitor analysis", if it boils down to seeing what currently appears on Amazon search results for a keyword (product positions, prices, ratings), then this skill applies. If they want historical trends, search volume data, or aggregated analytics, ABA data is more appropriate.

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