Amazon Reviews Scraper

Amazon Reviews Scraper for ASINs | Amazon Review Data Extraction

Collect structured Amazon product reviews by ASIN and marketplace country. This Apify actor helps you scrape Amazon review data for market research, competitor analysis, sentiment tracking, review mining, and catalog enrichment without building your own browser automation pipeline.

Use this Amazon reviews scraper to pull review text, ratings, helpful counts, dates, and verification status for one or more Amazon products in a single run. It supports multiple Amazon marketplaces, ASIN-based scraping, keyword and star filters, and exports clean JSON data to the Apify Dataset.

What this actor does

• Scrapes Amazon customer reviews by ASIN
• Supports 22+ Amazon marketplaces
• Pulls review metadata such as rating, date, author, helpful votes, and verification status
• Exports data to the Apify Dataset in structured JSON rows
• Provides a compact run summary in the Output tab via the OUTPUT key-value store item
• Works well for competitive analysis, product research, pricing intelligence, and customer sentiment analysis

Outputs

Each run produces two output channels:

1. Dataset — the actual review rows, one review per item
2. Output — the run summary JSON, stored in the key-value store under OUTPUT

This split makes it easy to use the data in pipelines while still seeing a summary of counts and per-ASIN status in the Apify run UI.

1. Dataset — review rows

Each review is written as one row to the default Dataset while the actor runs. Open the Dataset tab to preview or download the result as JSON, CSV, Excel, or via the Apify API.

Review fields:

Field	Description
rating	Star rating given by the reviewer, such as 1 to 5.
header	Review title or headline written by the customer.
content	Full review text content.
author	Reviewer name or display name.
date	Original review date string as shown on Amazon.
date_format	Normalized or formatted date field for easier downstream processing.
is_verified	Whether the review is marked as a verified purchase.
is_amazon_vine	Whether the review was submitted via Amazon Vine.
helpful_count	Number of users who marked the review as helpful.
images / videos	List of image or video media attached to the review.
country_code	Marketplace / locale code for the review.
id	Stable review identifier used by Amazon.
asin	ASIN of the product the review belongs to.

2. Output — run summary JSON

The summary is saved to the run’s key-value store under the key OUTPUT. Open the Output tab to view it in the Apify Console or fetch it through the Apify API.

This summary gives you a quick overview of the run, including total counts, marketplace domain, and status for each ASIN.

Example structure:

{
  "count": 132,
  "asin_count": 3,
  "asins": ["B0DMT42TFS", "B09XYZ1234", "B08ABCDEF1"],
  "country": "US",
  "domain": "www.amazon.com",
  "results": [
    {
      "asin": "B0DMT42TFS",
      "count": 48,
      "total_reviews": 512,
      "source": "product_details"
    },
    {
      "asin": "B09XYZ1234",
      "count": 39,
      "total_reviews": 402,
      "source": "scraper"
    },
    {
      "asin": "B08ABCDEF1",
      "count": 0,
      "error": "invalid_asin"
    }
  ],
  "request_id": "abc123",
  "blocked": false,
  "error": "partial",
  "message": "1 of 3 ASINs failed"
}

Top-level output fields

Field	Type	Description
count	number	Total number of review rows successfully collected across all ASINs in this run.
asin_count	number	Number of ASINs submitted for this run.
asins	array	List of ASINs included in the request.
country	string	Amazon marketplace code, for example US, UK, DE, etc.
domain	string	Marketplace domain such as www.amazon.com or www.amazon.co.uk.
results	array	Per-ASIN result list; one object per ASIN.
request_id	string	Request identifier returned by Amazon for the review scrape session when available.
blocked	boolean	True if at least one ASIN encountered an account-blocking or marketplace access issue.
errors	array	Detailed error list for failed ASINs. This field appears when some ASINs fail.
error	string	High-level failure code for the run, such as partial, invalid_asin, internal, or session_expired.
message	string	Human-readable explanation for the overall run result or failure.

Per-ASIN result fields

Each item inside results represents one ASIN and may contain the following fields:

Field	Type	Description
asin	string	ASIN for this product.
count	number	Number of reviews fetched for this ASIN under the current filters and page limit.
total_reviews	number	Total number of reviews Amazon reports for the ASIN under the active filters. Use this to compare with count. If total_reviews is higher than count, more reviews may still exist and you may need to increase the page limit or adjust filters.
source	string	Indicates whether the reviews came from the product details pre-check (product_details) or the normal review scrape flow (scraper).
error	string	Error code for this ASIN if the request failed, such as invalid_asin, account_blocked, session_expired, validation, or internal.

Error list details

When errors are present, the errors array contains objects like:

{
  "asin": "B08ABCDEF1",
  "error": "invalid_asin",
  "message": "product not found"
}

This is useful when only some ASINs fail and you want to inspect the exact issue without losing the successful results from other products.

Supported marketplaces

United States, Canada, Mexico, United Kingdom, Ireland, Germany, France, Italy, Spain, Netherlands, Sweden, Poland, Belgium, Australia, India, Singapore, United Arab Emirates, Saudi Arabia, Turkey, Brazil, Egypt, and South Africa.

How to use

1. Open the Input tab.
2. Enter one or more product ASINs (for example B0DMT42TFS), up to 100 per run.
3. Choose the Country / marketplace.
4. Set Max pages (up to 10 pages per ASIN).
5. Optionally set End date when sorting by most recent.
6. Optionally adjust filters such as star rating, verified purchase, keyword, format, and media type.
7. Start the run and open the Dataset tab when it completes.

Input options

Option	Description
ASINs	One or more Amazon product identifiers, 1–100 per run.
Country	Amazon marketplace / locale to target.
Max pages	Maximum number of review pages to load per ASIN, up to 10.
Sort by	Top reviews or most recent reviews.
End date	Optional YYYY-MM-DD; only used when sorting by most recent.
Reviewer type	All reviewers or verified purchase only.
Filter by star	All stars, a specific star, positive reviews, or critical reviews.
Filter by keyword	Only include reviews containing a keyword.
Format type	All formats or only the current product format.
Media type	All reviews or only media reviews.

Why use this scraper

• Multi-country Amazon reviews — One actor for dozens of Amazon marketplaces.
• ASIN-based extraction — Perfect for product research and review collection by product identifier.
• Rich filtering — Star ratings, verified buyers, keyword filters, review sort order, and media filters.
• Clean structured output — Ratings, text, dates, verification flags, helpful counts, and metadata in a consistent schema.
• Ready for automation — Schedule runs, integrate with downstream pipelines, or fetch results via the Apify API.
• Pay for results — Reviews are saved to the dataset as they are collected during the run.

Support

If something looks wrong, share your Run ID, ASINs, country, and max pages so we can reproduce the issue quickly.