Scrape Amazon reviews,
products, and more
with Browserless
Pull structured data from Amazon, including product listings, ratings, seller details, and Amazon reviews, without getting blocked.
Your complete Amazon scraping solution
Browserless has all the advanced features you need to avoid detection and scale.
Browserless features that make Amazon scraping reliable
It's hard to scrape data on Amazon consistently. The layered bot detection: fingerprinting, behavioral analysis, IP rate limiting, and CAPTCHAs. All work in combination. Browserless addresses each layer.
What is an Amazon scraper?
An Amazon scraper programmatically retrieves public data at scale from the retail giant’s website. Instead of manually visiting product pages, you automate a browser to navigate, extract, and save the information you need.
The challenges of scraping Amazon, and Browserless's solutions
The challenge
The Browserless’s solution
Fingerprinting flags automated sessions before any data loads
BrowserQL’s custom protocol hides DevTools markers, viewport defaults, and navigator.webdriver signals
IP rate limiting blocks scrapers that send too many requests from one address
Residential proxies rotate IPs automatically, with sticky session support for multi-page flows
CAPTCHAs interrupt scraping when Amazon suspects bot activity
/unblock API removes automation signals, reducing the likelihood of CAPTCHA being served
Behavioral analysis detects non-human interaction patterns
Headful browsers with genuine user agent strings that produce more realistic behavioral signals
JavaScript-heavy pages don’t render with basic HTTP requests
Full Chromium rendering ensures dynamically loaded product data, prices, and reviews are accessible
Scaling browser sessions creates infrastructure overhead
Managed concurrent browser pools handle session lifecycle
How Browserless scrapes Amazon
Request sent to Amazon
Your scraper sends an automated request to the Amazon website.
/unblock API activated
Browserless strips fingerprints that say your browser is automated before the request reaches Amazon.
Session management
/unblock returns the page’s cookies, so you can reuse them and keep Amazon seeing one consistent visitor.
Access Amazon data
With detection bypassed, your scraper retrieves the fully rendered page content.
A simple Amazon scraper code example
Connect Puppeteer to Browserless and pull a product title from an Amazon listing page. Swap ASIN_HERE for any Amazon product identifier and extend the selectors to pull in additional fields.
Puppeteer
Connect with a single line change
import puppeteer from 'puppeteer';
const TOKEN = 'YOUR_API_TOKEN_HERE';
const browser = await puppeteer.connect({
browserWSEndpoint:
`wss://production-sfo.browserless.io?token=${TOKEN}&proxy=residential&proxyCountry=us`,
});
const page = await browser.newPage();
await page.goto('https://www.amazon.com/dp/ASIN_HERE', {
waitUntil: 'networkidle2',
});
const title = await page.$eval(
'span#productTitle',
(el) => el.textContent.trim()
);
const price = await page.$eval(
'span.a-price-whole',
(el) => el.textContent.trim()
);
const rating = await page.$eval(
'span.a-icon-alt',
(el) => el.textContent.trim()
);
console.log({ title, price, rating });
await browser.close();Choose your Browserless Amazon scraper
Both options access the same managed infrastructure. The difference is how much control you want over the browser session.
Send a POST request to the /unblock endpoint with your target Amazon URL, and retrieve the fully rendered HTML content of multiple products or listing pages, with no browser management required on your end.
Write declarative scrape queries against Amazon pages using Browserless’s purpose-built query language, with access to a full IDE for testing before you deploy so you save time and effort.
Frequently asked questions
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