Amazon Scraper: Product Search & Sales Volume

What does Amazon Scraper do?

Amazon Scraper extracts product data from Amazon search results across 10 marketplaces. Search by keyword and get structured data for every product — prices, list prices, ratings, review counts, "bought in past month" sales volume, Best Seller and Amazon's Choice badges, delivery promise, Prime status, and images. It keeps loading result pages until it delivers the number of products you ask for, and supports price, rating, Prime and sponsored filters, sorting, and automatic currency detection.

Use it for price monitoring, competitive intelligence, dropshipping research, market analysis, and product research across any Amazon product category.

Price monitoring workflow

Schedule recurring Amazon searches for the SKUs, brands, or product queries you care about. Each run captures the current price, listPrice, deal badges, boughtPastMonth sales volume, Prime flag, availability, and scrapedAt timestamp so you can export fresh datasets to CSV/JSON, Google Sheets, webhooks, or your BI stack.

Example: monitor 20–100 Amazon keywords or ASIN-adjacent queries daily, compare price against listPrice in downstream spreadsheets or alerts, and flag price drops, discount depth, or MAP-policy violations. For cross-merchant benchmarking beyond Amazon, pair these retailer-specific results with Google Shopping Scraper as the comparison hub, eBay Scraper for active marketplace asking prices, and eBay Sold Listings Scraper for realized resale comps.

Who is it for?

Amazon Scraper is built for ecommerce teams, marketplace sellers, price-intelligence analysts, dropshipping researchers, agencies, and developers who need repeatable Amazon search-result data in structured datasets instead of manual copy-paste.

Use cases

• Price monitoring — Schedule recurring runs, export each dataset, and compare price vs listPrice downstream to spot price drops, discounts, and MAP violations.
• Dropshipping and retail arbitrage — Find profitable products by comparing Amazon prices with other marketplaces. Identify items with large price gaps.
• Competitive intelligence — Monitor competitor product listings, pricing, search rank (searchPosition), and monthly sales volume across Amazon marketplaces.
• Market research — Analyze product categories, pricing distributions, ratings, and review volumes to identify market trends and opportunities.
• Product research for sellers — Find high-demand, low-competition products. Use boughtPastMonthMin, Best Seller badges, and review counts to validate product ideas.

Why use Amazon Scraper?

• 10 Amazon marketplaces — US, UK, Germany, France, Italy, Spain, Canada, Japan, India, Australia. Proxy country is set automatically.
• Fast and lightweight — Pure HTTP extraction with Cheerio, no browser needed. Scrapes 20+ products per page.
• Reliable anti-bot handling — Residential proxy rotation with automatic retries and locale-aware cookies.
• Gets the count you ask for — Loads as many result pages as needed (up to Amazon's 20-page limit, about 300 products per keyword) and the run's status message says how many products you got and why it stopped.
• Sales and badge signals — boughtPastMonth ("4K+ bought in past month"), badges, isBestSeller, isAmazonChoice, and deliveryText on every result where Amazon shows them.
• Result filters — Minimum/maximum price (Amazon applies the range itself on every marketplace, so result pages stay full) and exclude sponsored. You only pay for products that match. To sort by rating, use sort: avg_rating; isPrime and rating are in every row for your own filtering.
• Clean structured data — Every product includes price, list price, rating, review count, Prime status, and images, with localized prices and ratings parsed to numbers on every marketplace.
• Query-aware deduplication — Skips duplicate ASINs within each keyword while preserving the same product when it ranks for different queries.
• Multiple search queries — Run several keyword searches in a single run and attribute every result to its query, page, and 1-based position.
• Flexible sorting — Sort by relevance, price (low/high), average rating, or newest.
• Pay-per-event pricing — You only pay for products scraped. No monthly subscription.

What data can you extract?

Each product in the output includes:

Field	Description
searchQuery	Search keyword that produced the result
searchPage	1-based Amazon results page where the product appeared
searchPosition	1-based product position within the query across all scraped pages
asin	Amazon Standard Identification Number
name	Full product title
brand	Brand name (only when Amazon shows it separately from the title; usually empty)
price	Current selling price (number)
priceString	Formatted price (e.g., "$299.99")
listPrice	Original/list price before discount
listPriceString	Formatted original price
currency	Currency code (USD, GBP, EUR, etc.)
availability	Stock status
rating	Average customer rating (1-5)
reviewCount	Total number of customer ratings
seller	Not shown in Amazon search results; always empty (kept for compatibility)
thumbnail	Product image URL
images	Array of product image URLs
url	Direct link to product on Amazon
isSponsored	Whether the product is a sponsored listing
isPrime	Whether Amazon marks the offer as Prime-eligible (amazon.com only; always false on other marketplaces, which don't show Prime to visitors who aren't signed in)
bestSellerRank	First badge text (legacy; see badges)
badges	All badges, e.g. "Overall Pick", "Best Seller in Earbud & In-Ear Headphones", "Limited time deal"
isBestSeller	Whether the product shows a Best Seller badge
isAmazonChoice	Whether the product shows an Amazon's Choice / Overall Pick badge
boughtPastMonth	Amazon's sales-volume label, e.g. "4K+ bought in past month" (null when not shown)
boughtPastMonthMin	The same as a number ("4K+" = 4000)
deliveryText	Delivery promise shown on the result
categoryBreadcrumb	Not shown in Amazon search results; always empty (kept for compatibility)
scrapedAt	ISO timestamp of when data was collected

How much does it cost to scrape Amazon?

This Actor uses pay-per-event pricing — you pay only for what you scrape. No monthly subscription. All platform costs (compute, proxy, storage) are included.

Current actor charges are:

Event	Free	Bronze	Silver	Gold	Platinum	Diamond
Actor start	$0.001	$0.001	$0.001	$0.001	$0.001	$0.001
Per product	$0.0046	$0.004	$0.00312	$0.0024	$0.0016	$0.00112

The total actor charge is the one-time actor-start event plus the applicable per-product rate multiplied by the number of products saved. Check the live pricing panel before a large run because Apify may update prices or plan tiers.

How to scrape Amazon products

1. Click Try for free to open the Actor in Apify Console.
2. Enter one or more search keywords (e.g., "laptop", "wireless mouse").
3. Choose your Amazon marketplace (US, UK, DE, etc.).
4. Set the maximum number of products per keyword, and optional filters (price range, exclude sponsored).
5. Click Start and wait for the run to finish.
6. Download your data as JSON, CSV, or Excel from the Dataset tab.

Example input:

{
    "searchQueries": ["laptop", "gaming mouse"],
    "marketplace": "US",
    "maxProductsPerSearch": 100,
    "sort": "relevance",
    "minPrice": 20,
    "maxPrice": 500,
    "excludeSponsored": true
}

Input parameters

Parameter	Type	Default	Description
searchQueries	array	required	Keywords to search on Amazon
marketplace	string	"US"	Amazon marketplace: US, UK, DE, FR, IT, ES, CA, JP, IN, AU
maxProductsPerSearch	integer	100	Maximum products to return per keyword
maxSearchPages	integer	20	Safety cap on result pages per keyword. The Actor stops earlier once it has maxProductsPerSearch products or Amazon has no more pages
sort	string	"relevance"	Sort: relevance, price_low, price_high, avg_rating, newest
minPrice / maxPrice	number	—	Only return products in this price range (marketplace currency; Amazon applies it; the maximum must be above 0)
excludeSponsored	boolean	false	Skip sponsored placements
maxRequestRetries	integer	10	Maximum attempts for transient failures; healthy sessions keep one coherent browser fingerprint and retries rotate proxy identity, fingerprint, and search route

Output example

{
    "type": "product",
    "searchQuery": "budget laptop",
    "searchPage": 1,
    "searchPosition": 1,
    "asin": "B0947BJ67M",
    "name": "HP 14 Laptop, Intel Celeron N4020, 4 GB RAM, 64 GB Storage",
    "brand": "",
    "price": 184,
    "priceString": "$184.00",
    "listPrice": 229.99,
    "listPriceString": "$229.99",
    "currency": "USD",
    "availability": "In stock",
    "rating": 4,
    "reviewCount": 5144,
    "seller": "",
    "images": ["https://m.media-amazon.com/images/I/71cWZUr9SVL._AC_UY218_.jpg"],
    "thumbnail": "https://m.media-amazon.com/images/I/71cWZUr9SVL._AC_UY218_.jpg",
    "url": "https://www.amazon.com/dp/B0947BJ67M",
    "isSponsored": false,
    "isPrime": false,
    "bestSellerRank": "Best Seller",
    "badges": ["Best Seller in Traditional Laptops"],
    "isBestSeller": true,
    "isAmazonChoice": false,
    "boughtPastMonth": "2K+ bought in past month",
    "boughtPastMonthMin": 2000,
    "deliveryText": "FREE delivery Sat, Nov 7",
    "categoryBreadcrumb": "",
    "scrapedAt": "2026-03-02T20:45:28.024Z"
}

Tips for best results

• Start with low limits — Set maxProductsPerSearch to 10-20 for testing before scaling up.
• Use specific keywords — "wireless gaming mouse logitech" returns better results than just "mouse".
• Try different marketplaces — Compare prices across US, UK, DE for arbitrage opportunities.
• Schedule regular runs — Use Apify Schedules for daily price monitoring.
• Sort by price — Use price_low or price_high to find the cheapest or most expensive products in a category.
• Multiple keywords per run — Add several keywords to searchQueries for efficient batch scraping. Use searchQuery and searchPosition to compare a product's ranking across keywords; an ASIN can appear once for each query.
• Combine with other scrapers — Cross-reference Amazon prices with Walmart or Target data for price comparison.

Integrations

Connect Amazon Scraper to your existing tools and workflows:

• Google Sheets — Export scraped data directly to Google Sheets.
• Zapier — Trigger actions in 5,000+ apps when new data is scraped.
• Make (Integromat) — Build automated workflows with scraped Amazon data.
• Slack — Get notified when prices drop below a threshold.
• Webhooks — Send data to your own API endpoint after each run.
• Apify API — Programmatically start runs and retrieve results.
• Amazon → Google Sheets price tracker — Schedule daily runs and auto-append results to a spreadsheet. Build a price history dashboard without writing code.
• Amazon → Slack deal alerts — Get a Slack message when a product drops below your target price. Combine with Zapier filters to set per-product thresholds.

API usage

Start the actor programmatically and read the default dataset from the Apify API.

Node.js:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('automation-lab/amazon-scraper').call({
    searchQueries: ['laptop'],
    marketplace: 'US',
    maxProductsPerSearch: 100,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python:

from apify_client import ApifyClient

client = ApifyClient('YOUR_API_TOKEN')

run = client.actor('automation-lab/amazon-scraper').call(run_input={
    'searchQueries': ['laptop'],
    'marketplace': 'US',
    'maxProductsPerSearch': 100,
})

items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

cURL:

curl "https://api.apify.com/v2/acts/automation-lab~amazon-scraper/runs" \
  -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{
    "searchQueries": ["laptop"],
    "marketplace": "US",
    "maxProductsPerSearch": 50
  }'

Use with AI agents via MCP

Amazon Scraper is available as a tool for AI assistants that support the Model Context Protocol (MCP).

Setup for Claude Code

$claude mcp add --transport http apify "https://mcp.apify.com?tools=automation-lab/amazon-scraper"

Setup for Claude Desktop, Cursor, or VS Code

Add this to your MCP config file:

{
    "mcpServers": {
        "apify": {
            "url": "https://mcp.apify.com?tools=automation-lab/amazon-scraper"
        }
    }
}

Example prompts

Once connected, try asking your AI assistant:

• "Search Amazon for wireless headphones under $50 and get the top 20 results"
• "Find Prime-eligible coffee grinders rated 4+ stars on Amazon US, without sponsored results"
• "Compare prices of MacBook Air across Amazon marketplaces"

Learn more in the Apify MCP documentation.

Is it legal to scrape Amazon?

Scraping publicly available Amazon product data is generally considered legal. The landmark hiQ Labs v. LinkedIn ruling confirmed that scraping public data does not violate the Computer Fraud and Abuse Act. Amazon product listings, prices, and reviews are publicly visible to anyone with a browser.

Key points:

• Only publicly available product data is collected
• No login credentials or private accounts are accessed
• The scraper respects rate limits to avoid overloading servers
• Extracted data should be used responsibly and in compliance with applicable laws

Always review Amazon's Terms of Service and consult legal counsel if you plan to use scraped data commercially. For more details, see Apify's guide on web scraping legality.

FAQ

How many products can I scrape per run? Amazon shows at most 20 result pages per search, which is usually about 300 products per keyword (16–22 per page). For more, split a broad keyword into narrower ones or run the same keyword with different sort orders; you can run many keywords in a single run.

How fast is the scraper? Each search page takes about 3-5 seconds. A full 20-page search (about 300 products) typically completes in 1-2 minutes.

Which Amazon marketplaces are supported? US, UK, Germany, France, Italy, Spain, Canada, Japan, India, and Australia. The scraper automatically sets the correct proxy country and currency for each marketplace.

Can I get product reviews? The scraper returns the average rating and total review count for each product. For individual review text, use a dedicated Amazon reviews scraper.

Why are some fields empty? seller and categoryBreadcrumb are not shown in Amazon search results, so they are always empty (kept so existing integrations don't break). brand is filled only when Amazon shows the brand separately from the title. boughtPastMonth and badges are filled only when Amazon shows them for that product.

Why is the price null for some products? Some products show "See all buying options" instead of a direct price. This is Amazon's behavior for products with multiple seller options or variable pricing.

The scraper is returning fewer products than expected. What can I do? Read the run's status message: it says how many products you got against what you asked for and why each keyword stopped. "Amazon had no more results" means the search (with your filters) has no more products — Amazon stops at 20 pages. If the "Max search pages" limit stopped a keyword, raise maxSearchPages. If a keyword stopped because too few products matched your filters, widen the price range or allow sponsored results. If a run fails because Amazon blocked every retry, try again or raise maxRequestRetries up to 12.

Can I scrape a specific Amazon product page by URL? This scraper focuses on search results. For individual product page scraping (detailed specs, Q&A, full review text), check the Apify Store for dedicated Amazon product detail scrapers.

How do I monitor Amazon prices automatically?

To track Amazon prices over time, schedule the scraper to run on a recurring interval using Apify Schedules. Set up a daily or hourly cron and pipe results into Google Sheets or a database. Each run captures the current price for every product, giving you a timestamped history you can query to detect drops or spikes.

A practical setup: create a schedule that runs every morning, export results to a Google Sheet via the Apify–Google Sheets integration, and use a Zapier filter to send a Slack notification whenever a product's price falls below a threshold you define. This takes under 10 minutes to configure with no code.

Can I scrape Amazon product prices across multiple marketplaces at once?

Yes. Each run supports one marketplace at a time, but you can queue runs for multiple marketplaces in parallel using the Apify API. For example, run the same keyword query against the US, UK, and DE marketplaces simultaneously, then merge the resulting datasets to compare prices in USD, GBP, and EUR side by side.

The scraper automatically sets the correct proxy country and currency for each marketplace, so you get locally accurate prices — not redirected international ones. This makes cross-marketplace price comparison or arbitrage research straightforward without any manual proxy configuration.

What is the difference between scraping Amazon search results vs product pages?

This scraper targets search results pages — the listings grid you see when you type a keyword into Amazon's search bar. Each result includes the price, rating, review count, Prime badge, and thumbnail shown in the search view.

Product detail pages (individual ASIN pages) contain additional data: full product descriptions, bullet-point features, Q&A sections, individual review text, and detailed specifications. If you need that level of detail, search the Apify Store for a dedicated Amazon product detail scraper. For price monitoring, competitor research, and category overviews, search results scraping is typically faster and more cost-effective.

How do I find profitable products for dropshipping using Amazon data?

Dropshipping and retail arbitrage research with this scraper typically follows this workflow:

1. Run searches for broad product categories (e.g., "kitchen gadgets under $30") across multiple Amazon marketplaces.
2. Filter results where listPrice significantly exceeds price — large discounts indicate demand but also signal competition.
3. Cross-reference reviewCount and rating to identify products with strong social proof but manageable review velocity (hard to compete if a product has 50,000 reviews; a sweet spot is 500–5,000).
4. On amazon.com, flag products with isPrime: false — non-Prime items often have weaker competition and higher margin potential for FBA sellers who can offer Prime shipping.
5. Sort by boughtPastMonthMin to see which products actually sell, then export to a spreadsheet for margin calculations to build your shortlist.

Combine with the Walmart Scraper to compare Amazon prices against Walmart for arbitrage gaps.

Why is Amazon data sometimes incomplete or blocked?

Amazon actively defends against automated data collection. Common reasons for incomplete data:

• CAPTCHA pages — Amazon serves challenges during high-traffic periods or when a proxy IP is flagged. The scraper keeps proxy, browser fingerprint, and marketplace locale coherent for healthy sessions. Blocked retries rotate all identity components and equivalent search routes, using 10 attempts by default; you can raise maxRequestRetries to 12 for unusually intermittent runs.
• "See all buying options" prices — Some products list multiple sellers and don't show a single price in search results. The price field will be null for these. This is Amazon's design, not a scraper limitation.
• Empty brand or seller fields — These fields are inconsistently included in Amazon's search result HTML. They're more reliably available on individual product pages.
• Marketplace-specific layouts — Non-US marketplaces occasionally serve different HTML structures. If results look sparse on a specific marketplace, try a fresh run or a more specific keyword.

Data handling and affiliation

The Actor sends your search keywords and standard request metadata to Amazon's public search pages through Apify Proxy. When a run fails, it sends sanitized diagnostic input, the exception, and the Actor, build and run IDs to our private GlitchTip error-tracking service so we can fix the problem; secret fields and URL query strings are removed, and reports are retained for 30 days. It does not request Amazon credentials, use an external data store, or retain a separate copy of inputs or results; Apify's normal run-storage retention and deletion controls apply. Use the data responsibly and comply with applicable laws and source terms.

This Actor is independently operated and is not affiliated with, endorsed by, or sponsored by Amazon.

Related actors

• Google Shopping Scraper — Use as the cross-merchant comparison hub for price-monitoring workflows.
• eBay Scraper — Extract active eBay listings, asking prices, shipping, and seller information.
• eBay Sold Listings Scraper — Add realized sold prices and resale comps to Amazon price analysis.
• Walmart Scraper — Scrape Walmart product data, prices, and reviews.
• Etsy Scraper — Scrape Etsy product listings, seller data, and shop reviews.
• Craigslist Scraper — Scrape Craigslist listings by keyword and city.
• Target Scraper — Scrape Target product data and pricing.
• Shopify Scraper — Extract products from any Shopify store.

Use with AI agents via x402 (no Apify account)

Agent workflows can run this actor through Apify MCP without an Apify account when the MCP client uses a funded x402 wallet. Use the actor-specific MCP endpoint:

https://mcp.apify.com?tools=automation-lab/amazon-scraper&payment=x402

This keeps existing Apify MCP/API usage unchanged; x402 only changes payment/authentication for clients that support it. Learn more in Apify's x402 integration docs.