Amazon: scrapers and the official API, compared

Route map

Each line is one way to get Amazon data; each stop is a field you probably need. Green lines are catalogue Actors, ranked by the published formula.

Which route for which job

The catalogue Actors for Amazon return different records. "Only this route" lists the published fields no other Actor in this table returns, which is usually what decides the choice. Cost is the published per-result rate; start events and platform usage are extra.

Field matrix: who returns what

Every tool with a published output schema, against the 8 fields most Amazon jobs need. A dot means the field name appears in the schema; rows can still leave it empty.

Field dictionary: the exact keys

The same core field has a different key in each Actor's output. Map these before you merge datasets; a dash means the published schema has no matching key. Need a field that is not listed here, such as email? Search every Amazon Actor by field.

Download this comparison: CSV · JSON (every tool with a published schema, matching keys per core field, price and score).

All 20 tools, scored

Catalogue Actors link to their detail pages; the score (0 to 100) is the published formula, identical for every tool. Other Store tools follow in their own table, for reference. Price is the published primary-result rate per 1,000 (the Free-plan rate where the price is tiered; higher Apify plans pay less); start events and platform usage are excluded.

Other Store tools, for reference

Scored with the same published formula and listed for comparison only; this site does not link or recommend them.

What to check before you choose

Amazon price monitoring, seller research and review analysis need different records. Product details support catalog comparisons, offer records distinguish sellers, and review text helps teams investigate customer feedback.

Choose a product scraper for prices and availability, an offer tracker for Buy Box monitoring, or a review scraper for feedback analysis. The Creators API serves eligible Amazon Associates, while the Selling Partner API serves authorized sellers.

Checklist

• Match the output to the job: stars and reviewsCount describe product feedback summaries, while reviewTitle and reviewDescription support analysis of individual reviews.
• Check seller coverage explicitly. The product detail schema includes asin and price, while the offer tracker publishes soldBy, shipsFrom and isBuyBoxWinner.
• Include start events and platform plan differences in the budget. The published result-event price excludes those costs.

Where the data is incomplete

The published schema for Amazon Multi-Domain Product Price & Detail Scraper includes product identifiers, prices, availability and feedback summaries. It omits seller identity and category rank, so seller comparisons and ranking analysis need another route.

A schema describes the output structure; check actual records for populated values before scheduling collection. Confirm that the selected marketplace, product variants and review coverage match the scope of the research.

Official API route

Terms and personal data

Limit collection to public product information and review Amazon's conditions of use before scheduling access. Check the applicable API terms if you choose an official route. This is general information, not legal advice.

Read Amazon's terms. Keep to public data, do not bypass logins or access controls, and check whether personal data is involved before you collect it. The can-I-scrape checklist walks through it.

How to start

1. Choose a small group of public product pages from the marketplace you need, then configure the supported inputs and collection limits.
2. Run the collection and inspect the resulting dataset for product identifiers, prices and source links before expanding it.

Call Amazon Multi-Domain Product Price & Detail Scraper from code

The example input uses the Actor's published defaults; set your own Amazon query before you run it. You need an Apify API token.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "productUrls": [],
    "asins": [
        "B09X7MPX8L"
    ],
    "searchTerms": [],
    "searchUrls": [],
    "bestsellerUrls": [],
    "marketplace": "auto",
    "domains": [],
    "language": "auto",
    "currency": "auto",
    "deliveryCountry": "auto",
    "minRating": "any",
    "dealsOnly": False,
    "primeOnly": False,
    "condition": "any",
    "stock": "any",
    "sortBy": "relevance",
    "maxItems": 1,
    "maxPages": 1,
    "includeDetails": True,
    "includeSponsored": True,
    "includeVariants": False,
    "includeTopReviews": False,
    "includeFailed": True,
    "failOnEmpty": True,
    "rateLimitDelay": 0,
    "proxyConfiguration": {
        "useApifyProxy": True
    },
    "proxyCountry": "AUTO"
}

run = client.actor("nimbryxo-studio/amazon-multi-domain-product-price-and-detail").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "productUrls": [],
    "asins": [
        "B09X7MPX8L"
    ],
    "searchTerms": [],
    "searchUrls": [],
    "bestsellerUrls": [],
    "marketplace": "auto",
    "domains": [],
    "language": "auto",
    "currency": "auto",
    "deliveryCountry": "auto",
    "minRating": "any",
    "dealsOnly": false,
    "primeOnly": false,
    "condition": "any",
    "stock": "any",
    "sortBy": "relevance",
    "maxItems": 1,
    "maxPages": 1,
    "includeDetails": true,
    "includeSponsored": true,
    "includeVariants": false,
    "includeTopReviews": false,
    "includeFailed": true,
    "failOnEmpty": true,
    "rateLimitDelay": 0,
    "proxyConfiguration": {
        "useApifyProxy": true
    },
    "proxyCountry": "AUTO"
};

const run = await client.actor("nimbryxo-studio/amazon-multi-domain-product-price-and-detail").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/nimbryxo-studio~amazon-multi-domain-product-price-and-detail/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"productUrls":[],"asins":["B09X7MPX8L"],"searchTerms":[],"searchUrls":[],"bestsellerUrls":[],"marketplace":"auto","domains":[],"language":"auto","currency":"auto","deliveryCountry":"auto","minRating":"any","dealsOnly":false,"primeOnly":false,"condition":"any","stock":"any","sortBy":"relevance","maxItems":1,"maxPages":1,"includeDetails":true,"includeSponsored":true,"includeVariants":false,"includeTopReviews":false,"includeFailed":true,"failOnEmpty":true,"rateLimitDelay":0,"proxyConfiguration":{"useApifyProxy":true},"proxyCountry":"AUTO"}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=nimbryxo-studio/amazon-multi-domain-product-price-and-detail",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Video

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Sources

• Amazon Multi-Domain Product Price & Detail Scraper on Apify Store
• Amazon Review Aggregates & Extended History Scraper on Apify Store
• Amazon Customer Review & Rating Summary Scraper on Apify Store
• Amazon Best Sellers & Rankings Scraper on Apify Store
• Amazon Deals Grid Tracker by Category & Discount on Apify Store
• Amazon Search, Category & Seller Listings Extractor on Apify Store
• Amazon Creators API (replaced the Product Advertising API) and Selling Partner API documentation
• Official source, checked 2026-11-12
• Amazon terms