Amazon Analysis — Full-Spectrum Research & Seller Intelligence
Amazon seller data analysis tool. Features: market research, product selection, competitor analysis, ASIN evaluation, pricing reference, category research. Uses {skill_base_dir}/scripts/apiclaw.py to call APIClaw API, requires APICLAW_API_KEY.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/apiclaw/amazon-analysisAPIClaw — Amazon Seller Data Analysis
AI-powered Amazon product research. Respond in user's language.
Files
| File | Purpose |
|---|---|
{skill_base_dir}/scripts/apiclaw.py | Execute for all API calls (run --help for params) |
{skill_base_dir}/references/reference.md | Load when you need exact field names or filter details |
Credential
Required: APICLAW_API_KEY. Get free key at apiclaw.io/api-keys. Stored in {skill_base_dir}/config.json in skill root.
Input
User provides: keyword, category, ASIN, or brand — depending on intent. Use intent routing below.
API Pitfalls (CRITICAL)
- Category first: keyword search is broad → MUST lock
categoryPathviacategoriesendpoint before other calls - Brand + category: Brand queries MUST include
--categoryto avoid cross-category contamination - Use API fields directly: revenue=
sampleAvgMonthlyRevenue(NEVER calculate price×sales), sales=monthlySalesFloor(lower bound), opportunity=sampleOpportunityIndex - reviews/analysis: needs 50+ reviews per ASIN; try category mode first (single call returns all dimensions), ASIN mode only if category call fails. Filter by
labelTypeclient-side from theconsumerInsightsarray. - Aggregation without categoryPath: produces severely distorted data
.datais array: use.data[0], not.data.field- labelType: NOT an API request parameter — it is a field in the response
consumerInsightsarray, used for client-side filtering - history empty: try oldest-listed ASINs first, up to 3 rounds of different ASINs before giving up
- Sales null fallback: Monthly sales ≈ 300,000 / BSR^0.65
14 Product Selection Modes
| Mode | One-line Description |
|---|---|
hot-products | High sales + strong growth momentum |
rising-stars | Low base + rapid growth trajectory |
underserved | Monthly sales≥300, rating≤3.7 — improvable products |
high-demand-low-barrier | Monthly sales≥300, reviews≤50 — easy entry |
beginner | $15-60, FBA, monthly sales≥300 — new seller friendly |
fast-movers | Monthly sales≥300, growth≥10% — quick turnover |
emerging | Monthly sales≤600, growth≥10%, ≤6 months old |
single-variant | Growth≥20%, 1 variant, ≤6 months — small & rising |
long-tail | BSR 10K-50K, ≤$30, exclusive sellers — niche |
new-release | Monthly sales≤500, New Release tag |
low-price | ≤$10 products |
top-bsr | BSR≤1000 best sellers |
fbm-friendly | Monthly sales≥300, self-fulfilled |
broad-catalog | BSR growth≥99%, reviews≤10, ≤90 days |
Modes can combine with explicit filters (--price-max, --sales-min, etc). Overrides win.
Composite Commands
report --keyword X→ categories + market + products(top50) + realtime(top1)opportunity --keyword X [--mode Y]→ categories + market + products(filtered) + realtime(top3)
Analysis Framework
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-apiclaw-amazon-analysis": {
"enabled": true,
"auto_update": true
}
}
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