The API can scrape and parse various types of data from Amazon, including Search, Products by ASIN, Offer listings, Questions & Answers, Reviews, Books, Best Sellers, and Sellers.
Collect real-time product data
Access localized content worldwide
Retrieve parsed results in JSON format
*This scraper is part of Web Scraper API
Tackle IP blocks with ease and retrieve public Amazon data on a large scale. See how it works with Amazon Scraper API code examples.
Input parameters
source
Scraper
Set the scraper to 'amazon_product' to get product data. (Other sources: 'amazon_search', 'amazon_pricing', 'amazon_reviews', 'amazon_questions', 'amazon_bestsellers', 'amazon_sellers')
query
ASIN
Input 10-symbol ASIN code of the product you want to scrape.
geo_location
Localization
Specify the 'Deliver to' location.
domain
Amazon domain
Specify Amazon marketplace you want to scrape.
locale
Interface language
Set the interface language.
render
JavaScript rendering
Enable to load JavaScript-based content.
parse
Structured data
Enable to get structured product data.
Input
Output
Output preview
Copy
import requests from pprint import pprint # Structure payload. payload = { 'source': 'amazon_product', 'query': 'B0CX23V2ZK', 'domain': 'com', 'geo_location': '90210', 'parse': True } # Take a free trial or buy the product on our dashboard to create an API user. # Replace 'USERNAME' and 'PASSWORD' with your API credentials to run this request. # Get response by using real-time endpoint. response = requests.request( 'POST', 'https://realtime.oxylabs.io/v1/queries', auth=('YOUR_USERNAME', 'YOUR_PASSWORD'), #Your credentials go here json=payload, ) # Print prettified response to stdout. pprint(response.json())
See full code
... "content": { "url": "https://www.amazon.com/dp/B0CX23V2ZK", "asin": "B0CX23V2ZK", "page": 1, "brand": "Apple", "price": 999, "stock": "In Stock", "title": "Apple 2024 MacBook Air 13-inch Laptop with M3 chip: 13.6-inch Liquid Retina Display, 8GB Unified Memory, 256GB SSD Storage, Backlit Keyboard, 1080p FaceTime HD Camera, Touch ID; Midnight", "buybox": [ { "price": 999, "stock": "In Stock", "delivery_type": "Delivery", "delivery_details": [ { "date": { "by": "Tuesday, May 21", "from": null }, "type": "FREE delivery" }, { "date": { "by": "Today", "from": null }, "type": "Or fastest Same-Day delivery" } ] }, { "price": 999, "stock": "In Stock", "delivery_type": "Pickup", "delivery_details": [ { "date": { "by": "Tuesday, May 21", "from": null }, "type": "FREE pickup" }, { "date": { "by": "Tomorrow", "from": null }, "type": "Or fastest pickup" } ] } ], "coupon": "Apply $49.01 coupon", "images": [ "https://m.media-amazon.com/images/I/71-D1xCuVwL._AC_SL1500_.jpg", "https://m.media-amazon.com/images/I/61LbQpnFNvL._AC_SL1500_.jpg", "https://m.media-amazon.com/images/I/61S2t5yhVSL._AC_SL1500_.jpg", "https://m.media-amazon.com/images/I/71eamTIYCyL._AC_SL1500_.jpg", "https://m.media-amazon.com/images/I/81QXKcc-qRL._AC_SL1500_.jpg", "https://m.media-amazon.com/images/I/61wjuMmDtdL._AC_SL1500_.jpg" ], "rating": 4.5, "category": [], "currency": "USD" } ...
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We are proud that our customers appreciate our attention to detail and the personalized service we provide.
No proxy management
Leverage our management-free 102M+ proxy pool for location targeting.
Bulk scraping
Easily extract up to 5,000 URLs per batch from various pages all at once.
Multiple delivery options
Get results via the API or to your Amazon S3 or Google Cloud Storage bucket.
Highly scalable
Easy to integrate, customize & supports a high volume of requests.
24/7 support
Get answers to pressing questions in a timely manner day and night.
Write your own parsing instructions and leverage our infrastructure to collect parsed data from any target hassle-free.
No need to maintain your own parser
Define your own parsing logic with XPath and CSS selectors
Collect ready-to-use structured data from Amazon
Unlock the power of our Web Crawler feature to explore every Amazon page and efficiently gather data at scale and in real time.
Gather only the data you need from target websites
Control the crawling scope and tailor the end result
Retrieve your results in a specified format
Leverage our Scheduler feature to automate recurring scraping and parsing jobs by scheduling them whenever needed.
Create multiple schedules for different jobs
Receive data automatically to your preferred cloud storage
Get notifications once each job is done
Gather data from Amazon effortlessly
Pay only for successful results
Gather highly-localized data
Receive data extraction know-how
0
1 week trial
Limited to 1 user
49
$2.00 / 1K results
$49 + VAT billed monthly
99
$1.80 / 1K results
$99 + VAT billed monthly
249
$1.65 / 1K results
$249 + VAT billed monthly
24,500
55,000
151,000
10 requests / s
30 requests / s
10% off
Yearly plans discount
For all our plans by paying yearly. Contact sales to learn more.
We accept these payment methods:
Amazon product details, listings, and associated specifics are publicly available data. In essence, you can freely extract product data and monitor price changes from Amazon pages. Although the Oxylabs team recommends seeking legal consultation before engaging in scraping activities to assess a specific situation and review associated local and international laws. Make sure to get an expert opinion on further proceedings. To learn more about the legalities of web scraping, check here.
In most cases, Amazon Data API takes under 10 seconds. Please contact your dedicated account manager or our support team for more specifics. You can also try it out with a free trial and follow our guide on how to web scrape Amazon with Python to get a head start.
Yes. Scheduler is a free feature of Amazon Data API that you can use to automate recurring scraping and parsing jobs.
Data collected using a web scraper, such as Amazon Data API, can be used to perform market and competitor analysis (such as price tracking), which can, in turn, be used to increase competitive advantage: customize shopping experience, promote consumer engagement, and increase revenue. If acquiring ready-to-use data interests you, see our e-commerce datasets.