Amazon Opportunity Discoverer — Niche Scanner & Scoring
Automated product opportunity scanner for Amazon sellers. Scans categories using 14 preset selection strategies, validates candidates with real-time data, brand analysis, and price structure, then ranks opportunities by composite score (1-100). Uses all 11 APIClaw API endpoints. Use when user asks about: find products to sell, product opportunity, what should I sell, niche discovery, profitable products, selection strategy, product scanner, opportunity scan, winning products, untapped niches, product ideas, market gaps. Requires APICLAW_API_KEY.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/apiclaw/amazon-opportunity-discovererAmazon Opportunity Discoverer — Niche Scanner & Scoring
Tell me your budget and experience. I find opportunities, score them, and rank.
Files
- Script:
{skill_base_dir}/scripts/apiclaw.py— run--helpfor params - Reference:
{skill_base_dir}/references/reference.md(field names & response structure)
Credential
Required: APICLAW_API_KEY. Get free key at apiclaw.io/api-keys
Input
- Required: keyword or category + budget (Low/Med/High) + experience (Beginner/Intermediate/Advanced)
- Recommended: risk tolerance (Conservative/Moderate/Aggressive)
- Optional: fulfillment preference (FBA/FBM), specific filter criteria
API Pitfalls (see apiclaw skill for full list)
- categoryPath is auto-resolved via
categories, with fallback to top search result. Ifcategory_sourceisinferred_from_search, confirm with user — keyword-only queries contaminate results - All keyword-based endpoints MUST include
--categorywhen locked - Revenue =
sampleAvgMonthlyRevenuedirectly. Sales =monthlySalesFloor(lower bound) reviews/analysisneeds 50+ reviews- Deduplicate ASINs across modes — same product appears in multiple scans
- Each mode has built-in filters that STACK with user filters (e.g. beginner: $15-60, sales≥300)
Unique Logic
Profile → Strategy Mapping
| Profile | Primary Modes | Price | Max Reviews |
|---|---|---|---|
| Beginner + Conservative | beginner, long-tail, fbm-friendly | $15-60 | <50 |
| Beginner + Moderate | beginner, emerging, low-price | $10-50 | <100 |
| Intermediate + Moderate | fast-movers, underserved, single-variant | $15-80 | <200 |
| Intermediate + Aggressive | high-demand-low-barrier, speculative | $10-100 | <500 |
| Advanced + Aggressive | fast-movers, speculative, top-bsr | any | any |
User Criteria → Filter Params
Always translate: "300+ monthly sales" → --sales-min 300, "reviews <100" → --ratings-max 100, "$15-35" → --price-min 15 --price-max 35. If user has specific criteria, use custom filters (Approach B/C), NOT default modes.
Data-Driven Category Selection (no specific category given)
Scan with market --keyword "{broad}" --topn 10, rank subcategories by: newSkuRate>10%, topBrandSalesRate<60%, fbaRate>50%, avgPrice $10-50, avgMonthlySales>200. Pick top 3-5.
Opportunity Score (per candidate, 1-100)
| Dimension | Weight | Good | Medium | Warning |
|---|---|---|---|---|
| Demand Signal | 20% | sales>300, rev>$5K | 100-300 | <100 |
| Competition Gap | 20% | reviews<200, CR10<40% | 200-1K, 40-60% | >1K, >60% |
| Price Opportunity | 15% | in best opp band, opp>1.0 | 0.5-1.0 | <0.5 |
| Trend Momentum | 15% | BSR rising | stable | declining |
| Profit Margin | 15% | >30% | 15-30% | <15% |
| Differentiation | 10% | clear pain points | some gaps | none |
| Profile Fit | 5% | matches user profile | partial | mismatch |
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-apiclaw-amazon-opportunity-discoverer": {
"enabled": true,
"auto_update": true
}
}
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