Amazon Product Scraper · 20 Marketplaces

The NanoScrape Amazon Product Scraper is an Apify actor that extracts product listings and prices from amazon.com. It returns 52 fields per result including title, description, locationText, asin, url, priced at $3/1k result, with no API key or monthly subscription required.

Extract Amazon product data by ASIN or URL across 20 marketplaces (source platform). Returns price, list price, stock, ratings, star breakdown, monthly purchase volume, variants, A+ content, bestseller ranks, hi-res images and 40+ more fields. Pay-per-result, no login required.

Open on Apify →
Pricing
$3.00 / 1,000 result
Runtime
Cloud (Apify)
Proxy
Datacenter

What you can scrape — 52 fields per result

FieldTypeExampleGroup
urlstring(populated when data available)Core
titlestring | null(populated when data available)Core
locationTextstring | null(populated when data available)Location
descriptionstring | null(populated when data available)Description
starsnumber | null(populated when data available)Reviews / rating
reviewsCountinteger | null(populated when data available)Reviews / rating
starsBreakdownobject | null(populated when data available)Reviews / rating
scrapedAtstring(populated when data available)Metadata
videosCountinteger | null(populated when data available)Media
asinstring(populated when data available)Other
marketplacestring(populated when data available)Other
brandstring | null(populated when data available)Other
manufacturerstring | null(populated when data available)Other
priceobject | null(populated when data available)Other
listPriceobject | null(populated when data available)Other
currencystring | null(populated when data available)Other
inStockboolean | null(populated when data available)Other
inStockTextstring | null(populated when data available)Other
monthlyPurchaseVolumestring | null(populated when data available)Other
thumbnailImagestring | null(populated when data available)Other
highResolutionImagesarray(populated when data available)Other
galleryThumbnailsarray(populated when data available)Other
featuresarray(populated when data available)Other
aPlusContentstring | null(populated when data available)Other
breadCrumbsarray(populated when data available)Other
bestsellerRanksarray(populated when data available)Other
isAmazonChoiceboolean | null(populated when data available)Other
amazonChoiceTextstring | null(populated when data available)Other
isPrimeboolean | null(populated when data available)Other
isBestSellerboolean | null(populated when data available)Other
deliverystring | null(populated when data available)Other
fastestDeliverystring | null(populated when data available)Other
shippingPriceobject | null(populated when data available)Other
sellerobject | null(populated when data available)Other
shipsFromstring | null(populated when data available)Other
conditionstring | null(populated when data available)Other
returnPolicystring | null(populated when data available)Other
attributesarray(populated when data available)Other
manufacturerAttributesarray(populated when data available)Other
productOverviewarray(populated when data available)Other
importantInformationstring | null(populated when data available)Other
variantAsinsarray(populated when data available)Other
variantAttributesarray(populated when data available)Other
variantDetailsarray(populated when data available)Other
isMultipackboolean | null(populated when data available)Other
multipackCountinteger | null(populated when data available)Other
originalAsinstring | null(populated when data available)Other
answeredQuestionsinteger | null(populated when data available)Other
aiReviewsSummarystring | null(populated when data available)Other
topReviewsarray(populated when data available)Other
loadedCountryCodestring | null(populated when data available)Other
inputobject | null(populated when data available)Other

Input example — showcase (full detail)

{
  "startUrls": [
    {
      "url": "https://www.amazon.com/dp/B09B8V1LZ3"
    }
  ],
  "asins": [
    "B0931VRJT5",
    "B07XJ8C8F5"
  ],
  "country": "US",
  "language": "AUTO",
  "maxItems": 0,
  "scrapeReviewSample": true,
  "scrapeVariants": true,
  "concurrency": 5
}

Cost math

Priced at $0.0030 per result. 10 results ≈ $0.03, 100 ≈ $0.30, 1,000 ≈ $3.00. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.

Integrations

Run this actor directly on Apify (no code)

Click Open on Apify above to run amazon-product-scraper in your browser - no code, no install. In the Apify console you get:

Get your Apify API token

To run this actor from your own code you need an Apify API token. Get one in about a minute:

  1. Sign up for a free Apify account (Google, GitHub, or email).
  2. Go to Settings → Integrations → API tokens.
  3. Click Create a new API token. Copy it and keep it secret.

Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully - at $0.001 per result on typical scrapers, that is roughly 5,000 results for free every month.

Call from code

Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.

curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~amazon-product-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'
// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/amazon-product-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/amazon-product-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)
// dotnet add package Apify.Client
using Apify.Client;

var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/amazon-product-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();
// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;

ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/amazon-product-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();

Use with AI agents (MCP)

This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.

https://mcp.apify.com?tools=santamaria-automations/amazon-product-scraper

Example prompt once connected:

"Use <code>amazon-product-scraper</code> to run a scrape on my target list and give me the results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.

Use with no-code platforms

Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.

  1. Add the n8n Apify node (installed by default on n8n Cloud; on self-hosted install @apify/n8n-nodes-apify).
  2. Set Actor to santamaria-automations/amazon-product-scraper.
  3. Choose operation Run Actor and get dataset, paste your input JSON, and connect a downstream node (Google Sheets, Postgres, webhook, ...).
  1. Create a new Zap with any trigger.
  2. Add a Webhooks by Zapier POST action to https://api.apify.com/v2/acts/santamaria-automations~amazon-product-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
  3. Body: your input JSON. Content-Type: application/json.
  1. Create a new scenario.
  2. Add an HTTP module: URL https://api.apify.com/v2/acts/santamaria-automations~amazon-product-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.
  3. Parse the response with a JSON module to iterate items downstream.
  1. Create a new workflow.
  2. Add an HTTP Request step: POST to https://api.apify.com/v2/acts/santamaria-automations~amazon-product-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
  3. Access steps.http.$return_value in subsequent steps.
  1. Install the API Connector plugin.
  2. Add a new API: POST https://api.apify.com/v2/acts/santamaria-automations~amazon-product-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.
  3. Initialize the call with your input, then reference the response array in workflow actions.

FAQ

How much does the amazon-product-scraper cost?

$3.00 / 1,000 result, billed per result on Apify. Apify's $5/month free tier covers the first runs. No monthly subscription — you only pay for what you extract.

What fields does it return?

52 fields per result. Full field catalog is listed in the 'What you can scrape' table above — includes core identifiers, descriptive text, dates, and any category-specific data.

Is scraping this site legal?

Scraping publicly available data is generally permitted in most jurisdictions, but GDPR applies to any personal data you collect. Review your local rules and consult a lawyer for commercial use.

Do I need an API key from the source platform?

No. This actor reads public pages over HTTP with datacenter proxies. No API key, no OAuth, no rate-limit management on your side.

How fresh is the data?

Every run pulls live data at execution time. Set up a schedule (daily/hourly/weekly cron) in the Apify console to keep your dataset current automatically.

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