Not for every Amazon seller
Most Amazon tools are for everyone — we didn't build BunnyScan for every seller. We built it for the ones tired of wasting analysis on maybes: scan storefronts first, shortlist with row signals, then deep analyze only what you'd list — with Scan assistant to filter, brief, compare, and explain rows in plain English.
Storefront light scan — eligibility, row signals, and seller strength before you deep analyze
The problem
Sourcing breaks when you run full analysis on every ASIN — or spread the same checks across five tabs.
You're not stuck on analysis — you're stuck on discovery. Random storefronts from groups waste days before you find a catalog worth mining.
One catalog can mean hundreds of ASINs run through full analysis. You buy a handful and wonder where the hours went.
Hot listings with stiff competition burn time on deep analysis. Seller strength helps you skip brutal storefronts before you commit.
Spreadsheet, calculator, ungate notes, Seller Central — context switching kills throughput for you and your VAs.
The fix isn't more ASIN lookups. Light scan first, shortlist with row signals and seller strength, then deep analyze only what you'd actually list.
The shift
Same goal — find profitable ASINs. Different starting point.
Old way
BunnyScan
Random storefront from a Facebook group
Suggested sellers + seller strength before you invest in deep analysis
Deep analyze every row in the spreadsheet
Light scan → sort by score → deep analyze 10–20 winners
Gating surprise on the Amazon page
Eligibility on the light scan — skip gated rows early
Ungate tracking in Slack and Sheets
Ungate board in the same workspace as your scans
Hand-built filters in spreadsheets
Plain-English filters — e.g. ungated Recommended with low competition — mapped to structured rules
How it works
Shortlist before you deep analyze — from a single ASIN, seller catalog, wholesale file, or category discovery — with row signals, eligibility, and Scan assistant on scan rows.
800
ASINs in catalog
47
Sellable after light scan
12
Deep analyzed
3
Purchased
Example: light-scan an 800-ASIN catalog, narrow to ungated high-score rows, deep analyze ~12 picks, and buy 3 winners. The win is focusing on ASINs you'd actually list — not running deep analysis on every row.
Step 1
Single ASIN, competitor catalog, wholesale file, category discovery, or the product page you're viewing — pick the entry point that matches how you found the lead.
Step 2
Sort by score, tanking risk, and overlap. Skip rows you'd never buy before running buy box, fees, and ROI.
Step 3
Run SP-API offers, fees, and profit on the ASINs you plan to sell — not every row in the upload or catalog.
Plain-English discovery
Discover assistant searches categories (bestsellers, deals, and market filters). Scan assistant filters storefront scans you already ran — briefing, compare, and explain grounded in eligibility, row signals, and profit data.
Recommended / Tank / Overlap stay rule-based. AI maps your words to category or scan filters and summarizes results — it does not invent prices, ranks, eligibility, or profit. Run Single ASIN analyze for full margin math.
“Find high-demand Beauty listings with low seller competition”
Ask across supported Amazon root categories. BunnyScan maps your question to category filters, bestsellers, deals, or market analysis — then returns ASINs to analyze or shortlist.
“Analyze Pet Supplies for market opportunities and competition”
Category analysis combines bestseller samples with low-competition matches — opportunity summary before you pick sellers to scan.
“Ungated Recommended with low competition and rising demand”
On a storefront scan, type what you want in the filter bar. BunnyScan maps it to structured filters — same deterministic engine as manual filters.
“Where should I focus on this catalog?”
One-click summary of visible rows: eligibility and competition patterns, 90-day price context, top picks to deep analyze, risks, and next steps.
“Which of these 5 should I deep analyze first?”
Compare 2–8 shortlist ASINs side by side, or explain one listing at your landed cost — tied to numbers already on your rows.
Searching Beauty & Personal Care for high-velocity listings with low new-offer counts.
Market opportunities
5 ASINs · 847 total matches
| ASIN | Action |
|---|---|
| B0BEAUTY01 | Analyze |
| B0BEAUTY02 | Analyze |
| B0BEAUTY03 | Analyze |
| B0BEAUTY04 | Analyze |
Sample UI — category search on Discover
Three outcomes — not a feature laundry list.
Single ASIN, catalog scan, wholesale file, Discover, or extension.
Start where you found the lead — quick check one listing, light-scan a seller catalog, or upload a supplier sheet. Storefront reverse sourcing is one path, not the whole product.
800 light → 12 deep → 3 buys — not 800 deep analyzes.
Recommended score (Rec column), tanking risk, and overlap on every row — plus Scan assistant briefings and shortlist compare so you narrow to picks before running full analysis on maybes.
Wholesale CSV, ungate queue, and VA workspaces — one login.
Upload supplier lists, track ungate status, assign VAs, and run the same pipeline whether you're solo or running a team.
The Chrome extension reads the ASIN from the page you're viewing — quick check, shortlist, and open full analysis without leaving the product page.
Free with your BunnyScan subscription — create an API key in Settings after you subscribe.
Validate profit, fees, eligibility, and competition before you buy — from one listing or a whole catalog. Not built for in-store retail arbitrage.
Check one listing at a time — from the dashboard or the Chrome extension on the Amazon product page you're viewing.
Light-scan a seller catalog (including competitor storefront reverse sourcing), read seller strength, and deep analyze only your shortlist.
Upload supplier CSVs and run the same shortlist workflow as storefront scans.
Keep sourcing consistent as you add people — shared scans, not spreadsheet drift.
Before you start
One storefront scan — from catalog to buy list.
Discover or pick a curated seller — find ASINs in a category or light-scan a focused catalog.
Light scan: eligibility, seller strength, and row signals on every row.
Discover assistant or Scan assistant: narrow to picks — then deep analyze ~12 winners. Buy 3.
Single ASIN, seller catalogs, wholesale files, and category discovery — shortlist with row signals, then deep analyze winners. Discover assistant and Scan assistant included.
$39/month
The workflow layer on your existing stack
Licensed workspace · listing validation · managed hosting · email support
All sales are final. BunnyScan subscription fees are non-refundable, including mistaken purchases, buyer remorse, or charges you later dispute as an error.
$39/month · licensed workspace included.
Validate Amazon listings before you buy — single ASIN, catalogs, wholesale, and more. Not for in-store retail arbitrage.