Amazon Search Scraper

Amazon search results as clean rows: ASIN, price, rating, reviews, Prime, sponsored, and "bought in past month".

For sellers, brands, and analysts who track prices, rankings, and competitors on Amazon. Every run tells you plainly what worked and what did not: no silent empty runs.

What you can do with it

• Price monitoring: run the same keywords every day and compare price and listPrice per ASIN.
• Rank tracking: see where your ASIN appears (position, page) for the keywords you sell on, and whether it is organic or sponsored.
• Demand research: sort by boughtPastMonth and reviewsCount to find what sells in a niche.
• Competitor watch: list every brand on page 1 for a keyword, with badges (Best Seller, Amazon's Choice).

What you get

Field	What it is	Example
query	The search phrase that produced this row.	wireless earbuds
type	organic, sponsored, amazons_choice, suggested, or error.	amazons_choice
position	1-based rank in that keyword's flattened result list.	1
asin	Amazon product identifier.	B0HDB173YV
title	Product title as shown in search.	Wireless Earbuds, Bluetooth 6.0 Headphones HiFi Stereo 50H Playback L…
url	Product page URL.	https://www.amazon.com/dp/B0HDB173YV
price	Current price as a number when Amazon showed one.	19.97
listPrice	Struck-through list price when Amazon showed one.	249.99
currency	ISO currency code.	USD
rating	Average star rating when present.	4.9
reviewsCount	Number of ratings when Amazon showed one.	123
isPrime	True when the listing showed Prime.	false
isSponsored	True for paid / sponsored placements.	false
isAmazonsChoice	True when the listing had the Amazon's Choice badge.	true
isBestSeller	True when the listing had a Best Seller badge.	false
salesVolume	Bought-in-past-month style string when Amazon showed one.	2K+ bought in past month
boughtPastMonth	Lower bound from Amazon's "bought in past month" text, as a number. 10K+ becomes 10000.	2000
brand	Manufacturer or brand when present.
thumbnailUrl	Product image URL from the search card.	https://m.media-amazon.com/images/I/61lW-nQhWIL._AC_UY218_.jpg
page	Search results page this listing came from.	1
domain	Amazon TLD used for this query.	com

Examples come from a real run. Every row has every field; a value the page did not show is null, never guessed.

One keyword on page 1 gave 20 to 28 listings in our tests.

How to use it

1. Click Try for free (or Start) on this page.
2. Enter one keyword per line in the first field. The form is prefilled with a working example.
3. Optional: set Max results and the other options.
4. Click Start. Open the Output tab, or export JSON, CSV, Excel, or HTML.

Example input

{
  "keywords": [
    "wireless earbuds"
  ],
  "domain": "com",
  "pages": 1,
  "maxResults": 20
}

Example output

One real row from a run on 17 October 2026 (long values shortened here):

{
  "query": "wireless earbuds",
  "type": "amazons_choice",
  "position": 1,
  "asin": "B0HDB173YV",
  "title": "Wireless Earbuds, Bluetooth 6.0 Headphones HiFi Stereo 50H Playback LED Digital Display Ear Buds with ENC Noise Canceling Headset, IPX7 Waterproof Earphones …",
  "url": "https://www.amazon.com/dp/B0HDB173YV",
  "price": 19.97,
  "listPrice": 249.99,
  "currency": "USD",
  "rating": 4.9,
  "reviewsCount": 123,
  "isPrime": false,
  "isSponsored": false,
  "isAmazonsChoice": true,
  "isBestSeller": false,
  "salesVolume": "2K+ bought in past month",
  "boughtPastMonth": 2000,
  "brand": null,
  "thumbnailUrl": "https://m.media-amazon.com/images/I/61lW-nQhWIL._AC_UY218_.jpg",
  "page": 1,
  "domain": "com"
}

Pricing

Pay per result: $1.00 per 1,000 rows, plus $0.001 per run start. No subscription.

Event	When	Price
Actor start	Once per run (per GB of memory; the default 256 MB counts as one)	$0.001
Result row	Each row saved to the dataset	$0.001

Example	Rows	Cost
10 listings	10	$0.001 + $0.01 = $0.011
100 listings	100	$0.001 + $0.10 = $0.101
1,000 listings	1,000	$0.001 + $1.00 = $1.001

• Retries after a bot check or a temporary error cost you nothing. You pay only for rows saved.
• An input that fails after all retries saves one error row (one row charge), so you can see what failed and why.
• Set Max total charge per run in the run options. The Actor stops cleanly at that limit and keeps every row saved so far.

What you can count on

• Same columns on every row. Missing values are null, so spreadsheets and databases never break.
• No silent failures. An input that fails gets an error row with errorCode and a plain-language errorMessage. The other inputs keep running.
• A clear run summary. The run status says how many results were saved, how many inputs failed, and why. The same numbers are saved as the RUN_SUMMARY record in the run's key-value store, for automations.
• Automatic retries. Bot checks and temporary errors are retried with a fresh request before an input counts as failed.
• Limits respected. Max results and your spending limit stop the run cleanly.

Use it from code, automations, and AI agents

API (returns the rows when the run finishes):

curl -X POST "https://api.apify.com/v2/acts/datacortex~amazon-search-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["wireless earbuds"], "domain": "com", "pages": 1, "maxResults": 20}'

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("datacortex/amazon-search-scraper").call(run_input={"keywords": ["wireless earbuds"], "domain": "com", "pages": 1, "maxResults": 20})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row)

JavaScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('datacortex/amazon-search-scraper').call({"keywords": ["wireless earbuds"], "domain": "com", "pages": 1, "maxResults": 20});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

No-code: connect the Actor in Make, Zapier, n8n, or Google Sheets through Apify's integrations, or add a webhook to get notified when a run finishes.

AI agents (MCP): add https://mcp.apify.com?tools=datacortex/amazon-search-scraper to Claude, Cursor, or any MCP client. The agent can call this Actor as a tool with the same input as above.

Limitations

• Search result cards only. For full product pages (specs, rating breakdown, delivery), use Amazon Product Scraper.
• Prices and badges are what Amazon showed for the chosen marketplace and ZIP at run time.
• For many keywords Amazon shows only about 7 result pages.
• The same ASIN in organic and sponsored blocks is kept once.

FAQ

Can I track one product's rank over time? Yes. Schedule the Actor with the same keywords, then filter the dataset by asin. position is the rank in that run.

Why do some rows have no price? Amazon did not show a price on that card (for example, "See options"). The field is empty, not guessed.

Does it work outside the US? Yes. Pick the marketplace in Marketplace (amazon.de, amazon.co.uk, and more). Add a ZIP in Deliver to to get local prices.

What does an error row mean? It marks an input that failed after retries. errorCode is short (blocked, empty_result, not_available, http_404, or invalid_... for a bad ID or URL) and errorMessage says what to do. Remove error rows with a filter on type.

Can I run it on a schedule? Yes. Create a task with your input in Apify Console, then add a schedule (for example every day at 8:00).

Is it legal to collect this data? The Actor reads public pages that anyone can open without logging in. You are responsible for how you use the data, including copyright, personal data rules such as GDPR, and the site's terms. If you are not sure, ask a lawyer.

Related Actors

• Amazon Product Scraper: Full Amazon product data by ASIN or URL.
• Walmart Search Scraper: Walmart search results by keyword.
• eBay Search Scraper: eBay search results by keyword.
• Google Shopping Scraper: Google Shopping results by keyword.

Support

Found a problem or need a field? Open an issue on the Issues tab. Include the run ID and one input that shows the problem. We read every issue.