Amazon Product Reviews

Fetch and analyze Amazon product reviews to help sellers extract actionable insights from customer feedback.

Core Concepts

This tool retrieves real customer reviews for a given Amazon ASIN across 15 marketplaces. You can control how many reviews to fetch per star rating (1-5 stars, up to 100 each), sort by recency or helpfulness, and apply various filters. Only one ASIN per request; for multiple ASINs, make separate calls.

API Routing

US and non-US marketplaces use different backend endpoints. Route by marketplace:

• US → scripts/amazon_us_reviews.py, pass marketplace: "US". See references/api_us.md
• Others → scripts/amazon_reviews.py, pass domainCode: "\x3Ccode>". See references/api.md

Parameter Guide

Supported Marketplaces

US uses the marketplace parameter; all others use domainCode. Always confirm the user's intended marketplace.

Usage Examples

1. Fetch US reviews — balanced snapshot

{"asin": "B08N5WRWNW", "marketplace": "US", "allStarsNum": 20, "sortBy": "recent"}

2. Fetch negative reviews with keyword filter (Germany)

{"asin": "B08N5WRWNW", "domainCode": "de", "star1Num": 30, "star2Num": 30, "filterByKeyword": "quality", "reviewerType": "avp_only_reviews"}

3. Fetch 5-star reviews with media (Japan)

{"asin": "B08N5WRWNW", "domainCode": "co.jp", "star5Num": 50, "star1Num": 0, "star2Num": 0, "star3Num": 0, "star4Num": 0, "sortBy": "helpful", "mediaType": "media_reviews_only"}

Display Rules

1. Present data clearly: Show reviews grouped by star rating with key fields: rating, title, text, date, verified status, helpful count.
2. Summarize when appropriate: For many reviews, provide a theme/pain-point summary before listing individuals.
3. Highlight actionable insights: Call out recurring complaints in negative reviews; note praised features in positive reviews.
4. Vine and verified labels: Clearly indicate Vine Voice and verified purchase status.
5. Media indicators: Note when reviews include images or videos.
6. Response normalization: US reviews return rating as full text (e.g., "5.0 out of 5 stars") and numberOfHelpful as string — extract numeric values for consistent display. US reviews may also include attributes (color, size, etc.) — display them to show which variant was reviewed.
7. Error handling: When a query fails, explain the reason based on the response message and suggest adjusting parameters.
8. Single ASIN limitation: If the user asks about multiple ASINs, make separate requests for each.

Important Limitations

• One ASIN per request: Only a single ASIN can be queried at a time.
• Per-star cap: Each star rating returns max 100 reviews per request.
• Parameter scope: filterByKeyword, reviewerType, mediaType are only available for non-US marketplaces; allStarsNum, positiveNum, criticalNum are only available for the US marketplace.
• No historical snapshots: Reviews are fetched in real-time.
• Review text language: Reviews are returned in their original language as posted.

User Expression & Scenario Quick Reference

Applicable — Tasks involving Amazon product reviews:

Not applicable — Needs beyond product review data:

• ABA search term data / keyword research (use ABA Data Explorer instead)
• Sales estimation or revenue analysis
• Listing copywriting or A+ content creation
• Advertising / PPC strategy
• Pricing strategy or profit margin calculations

Boundary judgment: If "product research" or "competitor analysis" boils down to reading customer reviews for specific ASINs, this skill applies. If it involves search volume, keyword rankings, sales estimates, or market sizing, it does not.

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

1. The functionality or purpose described in this skill does not match actual behavior
2. The skill's results do not match the user's intent
3. The user expresses dissatisfaction or praise about this skill
4. Anything you believe could be improved

Call the feedback API as specified in the references. Do not interrupt the user's flow.

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