APIClaw Amazon API

APIClaw API platform overview — AI-powered commerce data infrastructure. Provides programmatic access to 200M+ Amazon products with real-time data across 6 endpoints: category browsing, market metrics, product search, competitor lookup, realtime ASIN detail, and AI review analysis. Use when user asks: what APIClaw can do, available API endpoints, how to get started, API capabilities overview, credit usage, or general commerce data questions. For deep Amazon product selection strategies and analysis workflows, use the Amazon-analysis-skill instead. Requires APICLAW_API_KEY.

APIClaw — Commerce Data Infrastructure for AI Agents

Real-time access to 200M+ Amazon products. 6 endpoints, one API key.

Language rule: Respond in the user's language.

Quick Start

1. Get API key: apiclaw.io/api-keys
2. Set env: export APICLAW_API_KEY='hms_live_xxx'
3. Base URL: https://api.apiclaw.io/openapi/v2
4. Auth: Authorization: Bearer YOUR_API_KEY
5. All endpoints: POST with JSON body

New keys need 3-5 seconds to activate. If 403, wait and retry.

API Endpoints

#	Endpoint	What It Does	Key Output
1	categories	Browse Amazon category tree	categoryName, categoryPath, productCount, hasChildren
2	markets/search	Market-level aggregate metrics	sampleAvgMonthlySales, sampleAvgPrice, sampleBrandCount, topSalesRate, sampleFbaRate
3	products/search	Product search with 14 preset strategies	asin, title, price, bsrRank, atLeastMonthlySales, rating, ratingCount
4	products/competitor-lookup	Competitor analysis by keyword/ASIN	competitive products with sales, revenue, seller info
5	realtime/product	Live single-ASIN detail	title, rating, features, variants, bestsellersRank, buyboxWinner
6	reviews/analyze	AI-powered review insights	sentimentDistribution, consumerInsights (painPoints, buyingFactors, etc.)

Endpoint Details

1. Categories

Browse or search Amazon's category hierarchy.

text

POST /openapi/v2/categories
{"categoryKeyword": "pet supplies"}                    # search by keyword
{"parentCategoryPath": ["Pet Supplies"]}               # browse children

⚠️ Use categoryKeyword (not keyword) and parentCategoryPath (not parentCategoryName).

2. Markets

Category-level market metrics — answer "Is this market worth entering?"

text

POST /openapi/v2/markets/search
{"categoryPath": ["Pet Supplies", "Dogs", "Toys"], "topN": "10"}

⚠️ topN must be a string ("3", "5", "10", "20"), NOT an integer.

Returns: sampleAvgMonthlySales, sampleAvgPrice, sampleBrandCount, sampleSellerCount, topSalesRate (concentration), sampleNewSkuRate, sampleFbaRate.

3. Products

Product search with filters or 14 built-in selection modes.

text

POST /openapi/v2/products/search
{"keyword": "yoga mat", "mode": "beginner"}

14 modes: beginner, fast-movers, emerging, long-tail, underserved, new-release, fbm-friendly, low-price, single-variant, high-demand-low-barrier, broad-catalog, selective-catalog, speculative, top-bsr.

Key fields: atLeastMonthlySales (lower-bound estimate), bsrRank (integer), ratingCount (not reviewCount), price, profitMargin, fbaFee.

4. Competitors

Competitor discovery by keyword, brand, or specific ASIN.

text

POST /openapi/v2/products/competitor-lookup
{"keyword": "wireless earbuds"}
{"asin": "B09V3KXJPB"}

Returns same product fields as products/search.

5. Realtime Product

Live data for a single ASIN — current listing content and pricing.

text

POST /openapi/v2/realtime/product
{"asin": "B09V3KXJPB"}

Key response fields:

Field	Type	Note
title, brand	String	Basic info
rating, ratingCount	Float/Int	Rating data
ratingBreakdown	Object	{five_star: {percentage, count}, ...}
features	List	Bullet points
bestsellersRank	Array	[{category, rank}, ...] — NOT a single integer
buyboxWinner	Object	{price, fulfillment, seller} — price is nested here
topReviews	List	Top reviews with title, body, rating
variants	List	All variants with dimensions

⚠️ Does NOT return: atLeastMonthlySales, profitMargin, fbaFee, sellerCount. Use products/competitor-lookup for those. ⚠️ Price is nested: buyboxWinner.price, NOT top-level price.

6. Review Analysis

AI-powered consumer insights from customer reviews.

text

POST /openapi/v2/reviews/analyze

# Single or multiple ASINs (mode + asins required)
{"mode": "asin", "asins": ["B09V3KXJPB"]}
{"mode": "asin", "asins": ["B09V3KXJPB", "B08YYYYY"]}

# Category-level insights
{"mode": "category", "categoryPath": "Pet Supplies,Dogs,Toys", "period": "90d"}

# Filter to specific dimensions
{"mode": "asin", "asins": ["B09V3KXJPB"], "labelType": "painPoints"}

⚠️ mode is required ("asin" or "category"). ⚠️ Use asins (plural, array), NOT asin (singular string).

11 insight dimensions (labelType): painPoints, improvements, buyingFactors, issues, positives, scenarios, keywords, userProfiles, usageTimes, usageLocations, behaviors.

Returns: totalReviews, avgRating, sentimentDistribution, ratingDistribution, consumerInsights, topKeywords, verifiedRatio.

⚠️ Field Differences Across Endpoints

The 4 endpoint types return different fields. Do NOT assume they share the same structure.

Data	markets	products/competitors	realtime/product	reviews/analyze
Monthly Sales	sampleAvgMonthlySales	✅ atLeastMonthlySales	❌	❌
Price	sampleAvgPrice	price	buyboxWinner.price	❌
BSR	sampleAvgBsr	bsrRank (integer)	bestsellersRank (array)	❌
Rating	sampleAvgRating	rating	rating	avgRating
Review Count	sampleAvgReviewCount	ratingCount	ratingCount	totalReviews
Sentiment	❌	❌	❌	✅ sentimentDistribution
Consumer Insights	❌	❌	❌	✅ consumerInsights
Pain Points	❌	❌	❌ (manual from topReviews)	✅ AI-analyzed
Profit Margin	❌	profitMargin	❌	❌
FBA Fee	❌	fbaFee	❌	❌
Features/Bullets	❌	❌	✅ features	❌
Variants	❌	variantCount (integer)	variants (full list)	❌

What Each Endpoint Is Best For

Need	Use This
Sales, pricing, competition data	products/search or products/competitor-lookup
Live pricing, reviews, listing content	realtime/product
Category-level market sizing	markets/search
Consumer pain points, sentiment, buying factors	reviews/analyze
Category browsing / validation	categories
Full product picture	Combine products (quantitative) + realtime (qualitative) + reviews (insights)

Known Quirks

1. topN and newProductPeriod are strings — use "10" not 10
2. listingAge is a string — use "180" not 180
3. All response .data is an array — use .data[0] not .data.fieldName
4. ratingCount not reviewCount — the field is called ratingCount everywhere
5. bsrRank (integer) in products/competitors vs bestsellersRank (array) in realtime
6. Rate limit: 100 req/min, 10 req/sec burst

Credits

• Each API call consumes credits
• Response includes meta.creditsConsumed and meta.creditsRemaining
• Minimum 50 reviews required for reviews/analyze (returns INSUFFICIENT_REVIEWS error otherwise)
• Plans & rates: apiclaw.io/pricing

Data Notes

• Monthly sales (atLeastMonthlySales) is a lower-bound estimate — actual may be higher
• Realtime vs database: realtime/product is live; products/competitors have ~T+1 delay
• Currently Amazon US only (amazon.com) — more marketplaces planned
• Sales estimation fallback: When atLeastMonthlySales is null → Monthly sales ≈ 300,000 / BSR^0.65

Go Deeper

For advanced Amazon product research — 14 selection strategies, risk assessment, pricing analysis, listing optimization, and operational monitoring — install the dedicated skill:

bash

clawhub install Amazon-analysis-skill

Links

• Website: apiclaw.io
• API Docs: api.apiclaw.io/api-docs
• GitHub: github.com/SerendipityOneInc
• Support: [e-mail]