Amazon review scraper skill for AI agents

Get Amazon customer reviews and a product-level rating summary by product URL, keyword, or category, with star-rating and sort filters, across 23 Amazon domains.

What the skill does

It tells your agent when a request fits the Amazon Customer Review & Rating Summary Scraper Actor, which input to send and which fields come back (asin, rating, title, review description and 24 more). The agent runs it through the Apify API with your token and gets JSON rows.

Skill files updated 2026-11-14.

Install by hand

Save the five files into a folder named amazon-customer-review-and-rating-summary-scraper: ~/.claude/skills/amazon-customer-review-and-rating-summary-scraper/ for Claude Code, ~/.agents/skills/amazon-customer-review-and-rating-summary-scraper/ for Codex and most other agents.

The same five files as one download: amazon-customer-review-and-rating-summary-scraper.zip (7.3 KB).

Run it

Ask your agent in plain words, for example "Amazon rating summary", and it picks the skill from its description. Or run the script yourself:

export APIFY_TOKEN=your_apify_token
cd amazon-customer-review-and-rating-summary-scraper                             # the skill folder
node scripts/run.mjs                     # the example input
node scripts/run.mjs my-input.json       # your own input

Without an argument the script uses references/example-input.json. It waits for the run and prints the rows as JSON; for long runs SKILL.md shows the async API calls.

What it returns

Main fields the Amazon review scraper skill returns
FieldWhat it is
productAsinASIN
ratingScoreRating
reviewTitleTitle
reviewDescriptionReview Description
isVerifiedVerified
reviewedInReviewed In
reviewReactionReview Reaction
variantVariant
reviewImagesReview Images
reviewIdReview ID
helpfulCountHelpful
reviewDateDate
reviewLocationLocation
sentimentHintSentiment
wordCountWords
hasImagesHas Images
imageCountImage Count
reviewUrlReview URL
isVineVoiceVine
reviewVideosReview Videos
hasVideosHas Videos
reviewHashReview Hash
sourceSource
sourceMarketplaceMarketplace
reviewedProductAsinReviewed Product Asin

Read SKILL.md

Show the whole file (6.6 KB)
---
name: amazon-customer-review-and-rating-summary-scraper
description: "Get Amazon customer reviews and a product-level rating summary by product URL, keyword, or category, with star-rating and sort filters, across 23 Amazon domains. Output fields: productAsin, ratingScore, reviewTitle, reviewDescription, isVerified and more, as JSON rows. Use it for requests like \"Amazon review scraper\", \"Amazon rating summary\", \"product review export\", or a CSV/JSON export of public Amazon data."
---

# Amazon Customer Review & Rating Summary Scraper

Get Amazon customer reviews and a product-level rating summary by product URL, keyword, or category, with star-rating and sort filters, across 23 Amazon domains.

- Actor: https://apify.com/vexaloom-labs/amazon-customer-review-and-rating-summary-scraper (ID `vexaloom-labs~amazon-customer-review-and-rating-summary-scraper`)
- n8n workflow for the same Actor: https://scraperfinder.com/n8n/amazon-customer-review-and-rating-summary-scraper/
- Example input: `references/example-input.json`
- Input schema: `references/input-schema.json`
- Output fields: `references/output-fields.json`

Short video breakdown:
- [Stop copying Amazon reviews; sort them in a sheet](https://www.youtube.com/shorts/WhVOks5q4MU)

## When to use

Use this skill when the user wants:

- Amazon review scraper
- Amazon rating summary
- product review export
- a repeatable export of public Amazon data as CSV or JSON

Do not use it for private, login-protected or paywalled data.

## What it returns

One JSON row per result. Columns from the Actor's dataset schema:

- `productAsin`: ASIN
- `ratingScore`: Rating
- `reviewTitle`: Title
- `reviewDescription`: Review Description
- `isVerified`: Verified
- `reviewedIn`: Reviewed In
- `reviewReaction`: Review Reaction
- `variant`: Variant
- `reviewImages`: Review Images
- `reviewId`: Review ID
- `helpfulCount`: Helpful
- `reviewDate`: Date
- `reviewLocation`: Location
- `sentimentHint`: Sentiment
- `wordCount`: Words
- `hasImages`: Has Images
- `imageCount`: Image Count
- `reviewUrl`: Review URL
- `isVineVoice`: Vine
- `reviewVideos`: Review Videos

All 28 declared fields: `references/output-fields.json`.

## Inputs

| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
| `productUrls` | array | no |  | Amazon product URLs (/dp/, /gp/product/, /gp/aw/d/, /product/) or bare 10-character ASINs, on any supported Amazon domain. |
| `keywords` | array | no | [] | Search terms used to discover products when `productUrls` is empty (e.g. "wireless earbuds"). Each keyword contributes up to `maxProductsToDiscover` products. |
| `categoryUrls` | array | no | [] | Advanced discovery: Amazon `/s?...` search URLs or `/b?node=...` category URLs. Used only when `productUrls` is empty. |
| `maxProductsToDiscover` | integer | no | 5 | Maximum products discovered from each keyword or category URL (1-50). Ignored when `productUrls` is supplied. |
| `country` | string | no | amazon.com | Amazon storefront to use for bare ASINs, discovery, and products whose URL does not carry a domain. Product URLs keep their own domain. |
| `maxReviews` | integer | no | 100 | Hard cap per product after merging and deduplication (1-2000). The product-page sample alone yields about 8-13 rows; the optional extended feed can add 100-800+ for popular US… |
| `extendedHistory` | boolean | no | true | Merge Amazon's public extended review feed for each ASIN (no login): up to 100 rows per star/sort bucket, typically 100-800+ unique reviews for popular US products, deduplicated… |
| `mergeMarketplaces` | array | no | [] | Fetch the same product on these additional Amazon marketplaces and merge their deduplicated product-page reviews. Empty = the product's own marketplace only. |
| `sortBy` | string | no | helpful | Order of the returned reviews: most helpful first, or most recent first. |
| `filterByStar` | string | no |  | Keep only reviews with this rating. `positive` keeps 4-5 stars and `critical` keeps 1-2 stars. Applied after merging, so narrow filters can legitimately return few or no rows. |
| `verifiedPurchasesOnly` | boolean | no | false | Keep only reviews carrying Amazon's Verified Purchase badge. Applied server-side in the extended feed (and cookie mode) and client-side for product-page rows. |
| `filterKeywords` | array | no | [] | Keep only reviews whose title or text contains at least one of these keywords (case-insensitive). Empty = no keyword filter. |
| `reviewsNewerThan` | string | no |  | Keep only reviews dated on or after this date (YYYY-MM-DD or any ISO date). Reviews whose localized date cannot be parsed are kept. Empty = no date filter. |
| `mediaReviewsOnly` | boolean | no | false | Keep only reviews that include at least one reviewer-uploaded image or video. |

4 more optional fields on the Actor's Input tab.

Example (`references/example-input.json`):

```json
{
  "keywords": [
    "wireless earbuds"
  ],
  "country": "amazon.com",
  "maxProductsToDiscover": 2,
  "maxReviews": 20,
  "includeAggregates": true
}
```

The input passes the Actor's input schema (checked at every publish). First run: `maxProductsToDiscover` = 2, small enough for the 300-second sync wait; raise it once the rows look right.

## Run it

Set `APIFY_TOKEN`, then call the synchronous endpoint for small and medium runs (it waits up to 300 seconds):

```bash
curl -s -X POST "https://api.apify.com/v2/acts/vexaloom-labs~amazon-customer-review-and-rating-summary-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d @references/example-input.json > output.json
```

Or with Node 18+: `node scripts/run.mjs [input.json]`.

For large runs, start an async run and read its dataset when it finishes:

```bash
RUN=$(curl -s -X POST "https://api.apify.com/v2/acts/vexaloom-labs~amazon-customer-review-and-rating-summary-scraper/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" \
  -d @references/example-input.json)
RUN_ID=$(echo "$RUN" | jq -r '.data.id'); DATASET=$(echo "$RUN" | jq -r '.data.defaultDatasetId')
curl -s "https://api.apify.com/v2/actor-runs/$RUN_ID?waitForFinish=60" -H "Authorization: Bearer $APIFY_TOKEN" | jq -r '.data.status'
curl -s "https://api.apify.com/v2/datasets/$DATASET/items?format=json" -H "Authorization: Bearer $APIFY_TOKEN" > output.json
```

## Cost and limits

- Apify bills the Actor's usage on your account; the Actor's Pricing tab shows the current price.
- Keep the limit in the input small for a first run.

## Guardrails

- Public data only. Do not pass cookies, sessions or private account data.
- Do not use the output for spam, harassment or unlawful discrimination.
- Check the target site's terms and local law before running at scale.

Questions people ask

Which agents can use this skill?

Any agent that reads Agent Skills folders: Claude Code, Codex, Cursor, Gemini CLI and the other agents the skills CLI installs into. The skill is a SKILL.md file plus a small Node script, so an agent without skill support can still follow the file by hand.

Does the skill cost anything?

The skill is free. Running it starts the Amazon Customer Review & Rating Summary Scraper Actor on your own Apify account, which bills the run at the Actor's Store price; the Apify Free plan includes $5 of usage a month.

What does npx skills add install?

The whole folder: SKILL.md, scripts/run.mjs and the three reference files, downloaded from this site and checked against the SHA-256 digest in scraperfinder.com/.well-known/agent-skills/index.json. Add -g to install it for every project.

Skill updated 2026-11-14