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Amazon Product & Reviews Scraper icon

Amazon Reviews Dataset for NLP and ML Training

Thousands of Amazon reviews with star ratings and verified-buyer flags across products, structured to train sentiment analysis or fake-review detection models.

Run this use case nowRun on Apify →

How it works

  1. 1
    Open it on Apify

    Hit Run on Apify — it opens the tool in the cloud, no install.

  2. 2
    Set the inputs

    Adjust asins, searchQueries, domain (sensible defaults are pre-filled).

  3. 3
    Click Run

    The tool runs on Apify’s cloud and collects the data for you.

  4. 4
    Export the results

    Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.

Inputs

FieldWhat it doesType
asinsList of Amazon ASINs (10-character product IDs, e.g. B0BS1PRC4L) to scrape. Each ASIN returns full product details (including hi-res images) plus the on-page top customer reviews. Individual fields (price, rating, reviewCount, brand, availability, images, reviews) can be null/empty when Amazon does not render them on the page. Find the ASIN in a product URL: amazon.com/dp/<ASIN>. Leave empty if you only want search results.array
searchQueriesList of search terms (e.g. "wireless earbuds", "4k monitor") to scrape from Amazon search result pages. Each query returns products with asin, title, price, rating, reviewCount, url and an images array, paginated until maxItems is reached. Note: search-mode images contain only a small (~200px) thumbnail URL — product/ASIN mode returns hi-res images. Fields like price, rating and reviewCount can be null when Amazon omits them for a listing. Leave empty if you only want product details by ASIN.array
domainWhich Amazon marketplace (TLD) to scrape. The matching i18n preference cookie is sent automatically to force the marketplace's native currency and language so prices come back consistently (instead of being geo-priced by the proxy exit IP).string
maxItemsMaximum number of search result products to return per search query. The actor paginates through ?page=N until this many products are collected or the results run out. Ignored in ASIN-only mode.integer
notionConnectorOptional. Write each product as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless.string
notionParentIdOptional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead.string

What you get

A structured dataset — each result includes fields like:

asinavailabilitybrandcurrencydetailsfeatureBulletsimagespricequeryratingreviewCountreviewsreviewsParsedtitle

Export every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.

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