Amazon Fba Product Finder

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name: amazon-fba-product-finder description: "Amazon FBA product research agent. Find profitable FBA products — extract rank, sales volume, estimated revenue, competition score, and profit potential without entering every product page. Inspired by Jungle Scout methodology. Triggers: fba product research, jungle scout, amazon product finder, fba opportunity, product research, amazon niche finder, product validation, fba profit, sales estimate, revenue estimate, product opportunity score, amazon sourcing" allowed-tools: Bash metadata: openclaw: homepage: https://github.com/mguozhen/amazon-fba-product-finder

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Amazon FBA Product Finder

Research Amazon FBA product opportunities like a pro. Analyze rank, sales volume, estimated revenue, and competition score to validate products before sourcing — no tool subscription required.

Paste product data from Amazon search results or product pages. The agent validates opportunity and outputs a go/no-go recommendation with full reasoning.

Commands

find research       # research a product idea end-to-end
find validate               # validate product with pasted Amazon data
find score               # compute opportunity score for a product
find market              # analyze top 10 results for a search term
find revenue           # estimate monthly revenue from BSR
find compare  # compare two product opportunities
find niche              # identify niches within a category
find checklist           # run 10-point FBA viability checklist
find report              # full product research report
find save                # save research to workspace

What Data to Provide

Product idea / keyword — what you want to research

Amazon search results data — titles, prices, BSRs, review counts from the page

Category — main category (used for BSR-to-sales conversion)

Your target price point — expected selling price

Sourcing context — where you plan to source (Alibaba, domestic, etc.)

Product Research Framework

Step 1: Market Size Estimation

Estimate monthly revenue for the top 10 results:

Total market revenue = sum of estimated monthly revenue for top 10 listings

Healthy market: Top 10 generate $50,000-$500,000/month combined

Too small (<$30k): Limited opportunity

Too large (>$1M): Possibly too competitive for new entrant

Step 2: BSR to Sales Volume Conversion

Estimated monthly sales by category and BSR:

Category: Kitchen & Home
BSR 1-100:      8,000-50,000 units/month
BSR 100-500:    2,000-8,000 units/month
BSR 500-1000:   800-2,000 units/month
BSR 1000-3000:  300-800 units/month
BSR 3000-10000: 100-300 units/month
BSR 10000+:     <100 units/month
Category: Sports & Outdoors
BSR 1-100:      5,000-30,000 units/month
BSR 100-500:    1,500-5,000 units/month
BSR 500-2000:   500-1,500 units/month
BSR 2000-5000:  150-500 units/month
BSR 5000-15000: 50-150 units/month
Adjust by ±30% based on seasonality and listing quality.

Step 3: Competition Analysis

Assess the top 10 listings:

| Signal | Green | Yellow | Red | |--------|-------|--------|-----| | Avg reviews | <200 | 200-500 | >500 | | Review gap (1st vs 10th) | <5x | 5-20x | >20x | | Listing quality | Poor-Medium | Medium | Excellent | | Brand dominance | 0 brands in top 5 | 1-2 brands | 3+ same brands | | Price range | $10-$50 | $5-$10 or $50-$100 | <$5 or >$100 |

Step 4: Product Opportunity Score (POS)

Score 0-100 based on 10 factors:

1. Search volume (keyword demand)        0-10 pts
2. Revenue potential (top 10 combined)   0-10 pts
3. Competition gap (review accessibility) 0-10 pts
4. Margin potential (price vs. cost)     0-10 pts
5. Product simplicity (risk of defects)  0-10 pts
6. Differentiation potential             0-10 pts
7. Seasonal stability                    0-10 pts
8. Sourcing accessibility               0-10 pts
9. Regulatory risk (no hazmat/IP issues) 0-10 pts
10. Growth trajectory                   0-10 pts
POS 75+:  Strong opportunity — proceed to sourcing
POS 60-74: Moderate opportunity — validate further
POS 45-59: Weak opportunity — significant risks
POS <45:  Pass — not worth pursuing

Step 5: 10-Point FBA Viability Checklist

[ ] 1. Price $15-$70 (sweet spot for FBA margins)
[ ] 2. Lightweight <2 lbs (keeps FBA fees manageable)
[ ] 3. Small dimensions (standard-size, not oversize)
[ ] 4. No seasonal dependency (sells year-round)
[ ] 5. No brand dominance in top 10 (room for new sellers)
[ ] 6. Top seller has <500 reviews (achievable competition)
[ ] 7. Estimated monthly revenue $5,000+ (viable market)
[ ] 8. Clear differentiation opportunity (can improve on top listings)
[ ] 9. No dangerous goods / fragile items
[ ] 10. Sourceable on Alibaba for <30% of selling price

FBA Fee Structure

Referral fee:     8-15% of selling price (varies by category)
FBA fulfillment:
  Small standard: $3.22 (≤16oz) to $4.37 (≤1lb)
  Large standard: $5.42 (≤1lb) to $9.73 (≤20lb)
Storage fee:
  Standard:       $0.87/cubic foot (Jan-Sep)
                  $2.40/cubic foot (Oct-Dec)
Quick check: Target 25-35% net margin after all fees

Margin Calculation Template

Selling price:        $XX.XX
Referral fee (15%): $XX.XX
FBA fee:            $XX.XX
COGS (incl. ship):  $XX.XX
PPC cost (est. 15%): $XX.XX
= Net profit per unit: $XX.XX
= Net margin:          XX%
Minimum viable margin: 20% net

Workspace

Creates ~/fba-research/ containing:

opportunities/ — validated product research reports

rejected/ — products considered but passed

pipeline/ — products under active consideration

sourcing/ — supplier notes linked to products

Output Format

Every product research outputs: 1. Product Overview — name, category, price range, estimated market size 2. Opportunity Score — POS out of 100 with factor breakdown 3. Top 10 Competitive Landscape — table of top listings with key metrics 4. Revenue Estimate — range of monthly revenue at various BSR positions 5. Margin Analysis — expected net profit per unit at target price 6. Viability Checklist — pass/fail on all 10 criteria 7. Go/No-Go Recommendation — clear verdict with reasoning 8. Next Steps — if go: sourcing plan; if no-go: why and what to look for instead