Amazon Listing Audit — Listing Score, Review Health & Competitor Gaps

Audit Amazon listings the way a marketplace agency does. Give ASINs (and optionally your competitors') and get back for each product:

• a listing-content score with prioritised fixes (title, bullets, images, video, A+ / brand story, attributes)
• a review-health read: the 4-star conversion cliff, 1-star share, and the polarized-rating pattern
• a commercial read: price and discount, buy-box seller, stock, Best Sellers Rank, monthly demand, Amazon's Choice
• a benchmark against your competitors, with concrete gaps

It runs Apify's Amazon Product Scraper under the hood, so you only pass ASINs. Agent-callable.

Built for Amazon sellers, brand owners and marketplace agencies (listing optimisation, account audits, competitor tear-downs).

What it checks

Area	Checks
Title	length vs the 80–200 sweet spot / 200-char policy, brand present, ALL-CAPS, repeated words (keyword stuffing), promotional claims that break title policy
Bullets	count (all 5 used?), thin or wall-of-text bullets
Media	image count (7+), product video
A+ / brand story	present or missing (and how many competitors use it)
Attributes	item-specifics completeness (they feed filters and AI shopping answers)
Review health	rating vs the 4.0 cliff, 1-star share, ratings volume, polarized ratings (lots of 5★ + lots of 1★, little in between = incentivised reviews or inconsistent quality)
Commercial	price / list price / discount, in-stock + low-stock units, buy-box seller, Best Sellers Rank (+ sub-category), "bought in past month" demand, Amazon's Choice, Amazon's own AI review summary
vs competitors	price, rating, ratings count, images, bullets, video, A+, BSR, monthly demand: who's ahead and by how much

Each audit gets listingContentScore, reviewHealthScore, listingScore, a grade (A–F), a verdict and a sorted fix list (high → low priority).

Verdicts: strong-listing · solid-with-fixes · needs-content-optimization · review-pattern-check · at-risk-listing · not-found.

Why not just ask an AI agent?

An agent can't load Amazon product pages reliably: Amazon serves captchas and stripped pages to automated requests. Even with the data in hand, it would still have to:

• apply the listing-policy and conversion heuristics an agency uses,
• read the star distribution for manipulation patterns,
• benchmark against a competitor set,
• return the same structured scores for every ASIN.

This actor does all of that in one call.

Input

Field	Type	Required	Description
products	array of strings	✅*	ASINs or Amazon product URLs.
competitors	array of strings		Up to 10 competitor ASINs/URLs to benchmark against.
marketplace	string		Amazon domain for plain ASINs (default com).
datasetId	dataset	✅*	…or read products from an Amazon search dataset.
maxProducts	integer		Cap per run (default 20).
webhookUrl	string		POST the audits here as JSON.

* provide products or datasetId.

Example input

{ "products": ["B07ZPKN6YR"], "competitors": ["B0D1XD1ZV3"], "marketplace": "com" }

Output

One audit per product (+ a reference row per competitor). Example (real data, trimmed):

{
  "asin": "B07ZPKN6YR",
  "brand": "Apple",
  "price": 179.99,
  "stars": 4.2,
  "reviewsCount": 60159,
  "oneStarPct": 11,
  "bestsellerRank": 22,
  "bestsellerCategory": "Amazon Renewed",
  "monthlyBought": 1000,
  "seller": "Woot",
  "images": 4, "videos": 0, "bullets": 3, "hasAPlus": true,
  "listingContentScore": 63, "reviewHealthScore": 63, "listingScore": 63, "grade": "C",
  "signal": "solid-with-fixes",
  "fixes": [
    {"priority": "high", "area": "title", "fix": "Title is 49 chars - expand toward 80-200 with the main search terms, key attributes (size/color/count) and use case."},
    {"priority": "high", "area": "images", "fix": "4 image(s) - use 7+: lifestyle, infographic (dimensions/features), in-use and comparison shots."},
    {"priority": "medium", "area": "bullets", "fix": "3 bullet point(s) - use all 5 (benefit first, then spec)."},
    {"priority": "medium", "area": "video", "fix": "No product video - video lifts conversion on most categories."}
  ],
  "findings": [
    {"severity": "medium", "code": "one-star-share", "detail": "11% of ratings are 1-star - read recent 1-star reviews for a recurring defect / listing mismatch."}
  ],
  "benchmark": {"competitorsCompared": 1, "gaps": [{"metric": "images", "you": 4, "competitorMedian": 7}]}
}

Use cases

• Listing optimisation: a prioritised fix list per ASIN.
• Agency account audits / pitches: grade a prospect's catalogue in one run.
• Competitor tear-downs: see exactly where a rival's listing beats yours.
• Review-risk monitoring: catch a slide toward 4.0 or a rising 1-star share (schedule it).
• AI agents: a structured listing verdict + summary per ASIN.

For AI agents / MCP

https://mcp.apify.com/?tools=actors,docs,centorprat/amazon-listing-audit

Loads as centorprat--amazon-listing-audit. Claude Code:

claude mcp add apify -- npx -y @apify/actors-mcp-server --actors centorprat/amazon-listing-audit

FAQ

Where does the data come from? Public Amazon product pages, via Apify's Amazon Product Scraper run under the hood with residential proxies in the marketplace's country.

Does it read individual reviews? Amazon now puts the full review list behind a login, so the audit uses the public rating distribution, rating count and Amazon's own AI review summary. It doesn't read individual review pages.

What does "polarized ratings" mean? A star distribution with lots of 5★, a large 1★ share, and almost nothing in between. That's typical of incentivised reviews or inconsistent product quality. It's a prompt to check review recency and verified-purchase share, not a verdict.

Which marketplaces? amazon.com, .co.uk, .de, .fr, .it, .es, .ca, .com.au, .co.jp, .in, .com.mx, .nl, .se, .pl.

Cost? Pay-per-event: one event per product audited, plus a small event per competitor benchmarked. The underlying scraper (about half a cent per product) is billed to your run.

Data & attribution

Public Amazon product data via Apify's Amazon Product Scraper. These are listing and review signals for sellers and agencies, not guarantees of ranking or sales.

Related actors

• Shopify Store Leads & App Audit
• Shopify App Detector