Our Amazon Scraping API delivers accurate, real-time product, pricing, and review data at scale. Ideal for competitor tracking, market research, and eCommerce intelligence without managing proxies or scraping workflows.
Master Amazon Products Data with Our Advanced Scraping Service
What is an Amazon Scraper API?
An Amazon Scraper API is a specialized tool that automates the process of extracting data from Amazon’s website. Instead of manually browsing and copying information, the API allows you to programmatically retrieve data such as product details, prices, reviews, ratings, and more. It acts as an intermediary, handling the complexities of web scraping, including rotating proxies, CAPTCHA solving, and managing browser fingerprints, to ensure reliable and consistent data extraction.
In essence, it’s a ready-made solution for businesses and developers who need to access Amazon’s data at scale, without the hassle of building and maintaining their own scraping infrastructure.
What Kind of Data Can We Extract Using Various Custom Amazon Scraping API?
Our various Amazon Scraping API parses product pages, search results, and review pages to deliver granular data points based on your inputs.
Product Data Extraction API
Retrieve detailed information about products, including titles, descriptions, prices, images, specifications, and availability.
Search Result Scraping API
Extract data from Amazon’s search results pages, allowing you to monitor product rankings, identify competitors, and track market trends.
Review Scraping API
Gather customer reviews and ratings to understand customer sentiment, identify product strengths and weaknesses, and monitor brand reputation.
Price Monitoring API
Track price changes over time to optimize pricing strategies, identify deals and promotions, and gain a competitive advantage.
Category Scraping API
Extract data from specific product categories to analyze market trends, identify popular products, and discover new opportunities.
Bestseller List Scraping API
Scrape Amazon’s bestseller lists to identify top-selling products and understand consumer preferences.
Benefits of Using Our Amazon Scraper API
Our Live Crawler Services offer numerous benefits to businesses across various industries:
Frequently Asked Questions
Is it legal to scrape Amazon?
Scraping publicly available data (data that can be accessed without logging in) is generally considered legal in many jurisdictions. However, you should review the terms of service and consult with your own legal counsel regarding your specific use case.
Do I need to manage proxies?
No. Our API handles all proxy management, including IP rotation and user-agent string randomization, internally. You do not need to buy or configure separate proxies.
Can I scrape Amazon domains other than .com?
Yes, we support all major Amazon domains including .co.uk, .de, .co.jp, .in, .ca, and more.
How fast is the API?
We offer high-concurrency support. While speed depends on Amazon’s response time, our average response time is between 2 to 5 seconds per request.
What happens if a request fails?
We have a built-in retry logic. If a request fails ultimately (which is rare), you will receive an error code, and you will not be billed for that request.
Can I scrape behind a login (private user data)?
No. Our API is designed strictly for public data extraction. We do not support scraping data that requires a user login or accesses private account information.
What is the output format?
The default output is structured JSON. We can also offer raw HTML if you prefer to parse the data yourself.
Data Extraction Tools
Amazon
Scrape data like Product names, prices, descriptions, images, ASIN, ratings, review count, product availability, and seller information.
Walmart
Scrape data like Product titles, prices, images, customer reviews, ratings, product specifications, and availability.
Ebay
Scrape data like Listing title, item price, shipping cost, item condition, seller ratings and profile, product images, and item specifics.
Zomato
Scrape data like Restaurant names, addresses, contact details, menu items, prices, user ratings, reviews, cuisine type, and opening hours.
Swiggy
Scrape data like Restaurant names, locations, menu items, prices, discounts and offers, ratings, and estimated delivery times.
DoorDash
Scrape data like Restaurant names, addresses, cuisine types, menu items, prices, delivery fees, customer ratings, and reviews.
Scrape Smarter, Act Faster with Data You can Trust
Accelerate growth with our competencies in extracting high value structured data from the web. Our team at Diya Infotech does it securely and with absolute accuracy.