Amazon Scraper - Search Results, Prices & Reviews

Amazon Scraper collects Amazon data in two modes. Product search returns every product on a results page with its ASIN, title, price, rating, ratings count, sponsored flag, image and link, using Amazon's sort orders, a minimum-rating filter and paging. Product reviews returns a product's total ratings, star histogram and reviews (rating, title, text, date, reviewer country, verified labels). Use it for price monitoring, product research, review analysis and catalogue enrichment. Pricing is pay-per-event: $0.003 per search page and $0.003 per review page; failed requests are not charged.

Proxies, retries and anti-bot handling are built in, so you don't need your own proxies or an API key. Start a run, get structured JSON.

What can this Amazon scraper do?

• Product search: ASIN, title, price, rating, ratings count, sponsored flag, image, URL.
• Amazon sort orders (price, reviews, newest, best sellers) and minimum rating; up to 20 pages.
• Product reviews: total ratings, 1-5 star histogram and review details.
• Batch many searches or ASINs; empty search pages are free.

Modes

Mode	What it returns	Price per request
search	Products for a search: ASIN, title, price, rating, ratings count, sponsored flag, image, link	$0.003
reviews	Rating histogram, total ratings and reviews for an ASIN	$0.003

Use cases for Amazon data

• E-commerce sellers: Monitor prices, ratings and sponsored placements for your category.
• Product researchers: Find product opportunities from search results and rating counts.
• Brands: Mine reviews for complaints and feature requests.

What Amazon data can you extract?

Field	Description
products[].asin / title / url	Product identity
products[].price / price_text / currency	Price
products[].rating / ratings_count	Average rating and number of ratings
products[].sponsored / image	Sponsored flag and image
total_ratings / histogram (Reviews)	Rating count and share per star
reviews[].rating / title / text / date	Review content (Reviews)
reviews[].author_country / labels	Reviewer country and labels such as Verified Purchase

Every dataset item also carries input (the exact request that was sent), request_id (quote it to support), billed and scraped_at.

How to scrape Amazon products and reviews

1. Open Amazon Scraper in Apify Console and go to the Input tab.
2. Enter search queries, or switch Mode to Product reviews and paste ASINs.
3. Adjust the options if needed. Dates accept an exact date (2026-12-01) or a relative one (30 days from today), so saved tasks and schedules never go stale.
4. Click Start and wait for the run to finish.
5. Download the results from the Output tab as JSON, CSV, Excel or HTML, or fetch them with the Apify API.

Input example

This is the default input; running the Actor without changes uses it.

{
  "mode": "search",
  "queries": [
    "bathrobe"
  ],
  "maxPages": 1,
  "asins": [
    "B084PBWBJR"
  ],
  "includeErrors": true,
  "maxConcurrency": 3,
  "maxRetries": 2
}

Output example

One dataset item per request (trimmed here; real items contain every field the API returns):

{
  "mode": "search",
  "endpoint": "/v1/amazon/search",
  "input": {
    "q": "bathrobe"
  },
  "meta": {
    "elapsed_s": 1.212,
    "source": "amazon_search"
  },
  "products": [
    {
      "asin": "B084PBWBJR",
      "currency": "CAD",
      "image": "https://m.media-amazon.com/images/I/61VOJmplqeL._AC_UL320_.jpg",
      "price": 42.52,
      "price_text": "CAD 42.52",
      "rating": 4.6,
      "ratings_count": 13206,
      "sponsored": false,
      "title": "PAVILIA Premium Womens Plush Soft Robe, Fluffy Warm Fleece Sherpa Bathrobe",
      "url": "https://www.amazon.com/dp/B084PBWBJR"
    },
    {
      "asin": "B07FZSP1BR",
      "currency": "CAD",
      "image": null,
      "price": 55,
      "price_text": "CAD 55.00",
      "rating": 4.7,
      "ratings_count": 8941,
      "sponsored": true,
      "title": "Alexander Del Rossa Womens Robe, Long Fleece Bathrobe",
      "url": "https://www.amazon.com/dp/B07FZSP1BR"
    }
  ],
  "search_parameters": {
    "engine": "amazon_search",
    "q": "bathrobe"
  },
  "total": 2,
  "request_id": "req_3f9c0d6e2b8a4c1f9e7d5b3a1c0e8f6d",
  "billed": true,
  "scraped_at": "2026-10-01T14:03:27.512Z"
}

A request that fails is saved with an error message instead (turn off Include failed requests to skip those). Failed requests are never charged.

How much does it cost to scrape Amazon products and reviews?

This Actor uses pay-per-event pricing: you pay for successful API requests, not for compute time.

Event	Charged when	Price	Per 1,000
search-page	One page of Amazon search results. Empty pages are free.	$0.003	$3.00
review-page	One product's ratings histogram and top reviews.	$0.003	$3.00

These prices apply from November 5, 2026, after Apify's 14-day notice of a price change; until then runs are charged the previous prices shown on the Pricing tab.

For example, 1,000 requests in the default mode cost $3.00.

• Failed requests (errors, invalid input, blocked upstream after retries) are free.
• Requests where the source returns nothing at all (no results, nothing priced) are saved but not charged.
• Set Maximum cost per run when you start a run and the Actor stops cleanly before going over it.

FAQ

Do I need proxies or an API key?

No. Proxy rotation, retries and anti-bot handling are built in, and the Actor is ready to run as is. You only pay the per-event prices above.

Which Amazon marketplace is used?

amazon.com (US).

How many reviews do I get per product?

The reviews Amazon shows on the product's reviews page without logging in, together with the full rating histogram and total rating count.

Is it legal to scrape Amazon products and reviews?

The Actor collects publicly available information that anyone can see without logging in. You are responsible for how you use the results: respect the source site's terms, copyright and privacy law (such as GDPR) and do not collect personal data without a lawful basis. If in doubt, ask a lawyer.

What happens when a request is blocked or rate-limited?

Rate limits (HTTP 429) and temporary errors (5xx) are retried automatically with exponential backoff, respecting Retry-After. If a request still fails it is saved with the error message and not charged, and the rest of the batch keeps going. A run only fails when every request failed.

Why did a request return an error?

Read the error field: validation problems (for example a malformed date or an unknown id) are reported exactly as the API sees them. Fix the input and run again; failed requests cost nothing.

How many requests can I run at once?

Any number per run. The Actor sends up to 3 requests in parallel by default (change it under Run options); larger batches simply take longer.

Use it from your code

Call the Actor from any language through the Apify API. With the JavaScript client (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('scrapercompany/amazon-scraper').call({
    "mode": "search",
    "queries": [
        "bathrobe"
    ]
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

With Python (pip install apify-client):

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("scrapercompany/amazon-scraper").call(run_input={
    "mode": "search",
    "queries": ["bathrobe"],
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

You can also schedule runs, chain them with webhooks, or connect them to Make, Zapier, n8n, Google Sheets and other integrations from the Integrations tab.

Related scrapers

• Walmart Scraper: the same products on Walmart
• Google Shopping Scraper: prices across merchants on Google Shopping

Support

Questions, a field you need, or a site that stopped working? Open an issue on the Issues tab. Include the request_id from the dataset item so we can trace the request.