7 Best Amazon Scraper APIs Ranked by Performance
Amazon’s anti-scraping technology is harder to bypass than ever. To find out which tools actually work, we benchmarked top Amazon scraper APIs over 1,400 URLs from 7 Amazon domains and identified the most reliable and cost-efficient solutions.
If you need reliable access to sales data, real-time prices, or product reviews, here are the most cost-efficient and high-success solutions:
The best Amazon scrapers compared
If you want to skip the details, here are the top providers ranked by our performance benchmarks and pricing data.
Amazon scraping benchmark results
We tested each API against two key metrics: response time (speed) and the number of fields returned (data richness).
How to read this chart:
- Top left (Bright Data): Captures the most data (686 fields) but takes longer (66s). Choose this for market research and product analysis.
- Bottom right (Decodo/Zyte): The “Speed Zone.” These tools sacrifice some data depth to deliver results in ~3 seconds. Choose these for price monitoring.
- Top right (Apify): The middle ground. High data depth (577 fields) with respectable speed (15s).
Amazon scraper performance over time
Pricing analysis: Who is cheapest at scale?
We analyzed the “Requests per Dollar” efficiency as volume increases from 1,000 to 12.5 million requests.
Key findings:
- The enterprise winner (Zyte): If you are scraping millions of pages, it is nearly 2.5x cheaper than the competition.
- The stable option (Bright Data): Bright Data offers flat, predictable efficiency (~950 requests/$). You don’t need massive volume to get a reasonable rate.
- The premium option (Apify): Apify remains the most expensive per request (~150 requests/$), likely due to the overhead of their platform features.
Detailed breakdown of each provider
Bright Data is the industry leader for both API-based and no-code Amazon scraping. It excels at providing the highest data richness in the market, making it the premier choice for companies needing deep Amazon sales data, competitor pricing, and review analysis.
Performance:
- Benchmark score: 9.8/10 for data richness
- Success rate: 99.98%
- Median speed: ~66 seconds
Keys specs:
- Output formats: JSON, JSON Lines, NDJSON, CSV.
- Solution type: Dedicated API
- Supported pages: Products, Reviews, Search, Sellers, Best Sellers.
Pros:
- Deepest extraction: Captures every possible field, from “lightning deals” to “answered questions.”
- Ready-to-use datasets: Pre-collected Amazon datasets if you prefer not to manage scraping yourself.
- Global scaling: Easily handles millions of requests without IP bans.
If speed is your priority, Decodo is the winner. Our tests clocked Decodo at a median response time of just 3 seconds. While it returns fewer data fields than Bright Data, it is fast enough to power live pricing dashboards.
Decodo provides a general-purpose scraper with dedicated endpoints for Amazon.
Performance:
- Benchmark score: 9.5/10 for speed
- Median speed: 3 seconds (fastest)
- Data depth: 286 fields avg.
Key specs:
- Output formats: HTML, JSON
- Solution type: Dedicated API
- Supported pages: Bestsellers, Search, Product, Pricing.
Pros:
- Unmatched speed: The fastest API in our benchmark, making it ideal for high-frequency price monitoring.
- Cost-effective scaling: One of the most affordable options for high-volume needs, delivering roughly 800 requests per dollar.
Oxylabs offers a general-purpose Web Scraping API with a dedicated endpoint for the Amazon website. The provider doesn’t provide specialized APIs, such as a product page or a review scraper, as Bright Data does.
Oxylabs uses AI-powered parsing (OxyCopilot) to allow users to build custom scrapers for specific business intelligence, such as Amazon product rankings and sales data estimation.
With prompt engineering, users can precisely define the data they need, streamlining the process and minimizing the need for extensive data cleaning after scraping. Here’s an example:
Performance:
- Benchmark score: 9.2/10 (flexibility)
- Data depth: Fully customizable (286+ fields)
Zyte provides a user-friendly dashboard with an API playground that generates code snippets based on selected parameters, simplifying integration and customization. Its ZyteAPI supports country-level targeting for 19 countries. The provider combines residential and datacenter proxies directly within its scraper API.
While its data extraction is lighter (fewer fields), its pricing model is unbeatable for massive volumes. As you scale up, Zyte becomes the most cost-efficient option on the market.
- Benchmark score: 10/10 for Scalability
- Median speed: 3 seconds (fastest)
- Data depth: 131 fields avg.
Key specs:
- Output formats: HTML, JSON.
- Solution type: General-purpose API with specialized extraction.
Pros:
- Cost: At 12.5M requests, Zyte delivers over 2,000 requests per dollar.
- Ban handling: Excellent at managing IP rotations automatically.
Apify is a developer-focused web scraping platform that provides APIs for Amazon scraping, including an Amazon product scraper, a review scraper, and a seller scraper. The scraper enables users to collect data from Amazon based on an input URL and country, providing country-level targeting.
It performed very well in data depth (second only to Bright Data), but it comes at a premium per-request price. It is the perfect choice for developers who want to start scraping in minutes without managing infrastructure.
- Median speed: ~15 seconds
- Data depth: 577 fields avg.
Key specs:
- Output formats: JSON, XML, CSV, Excel.
- Solution type: Dedicated API (Actor).
Pros:
- High quality: Captures deep data (577 fields), including detailed specs and reviews.
- Ease of use: “Plug and Play” platform with a great UI.
Nimbleway provides an E-Commerce API that scrapes data from Amazon and Walmart. The API supports zip code-level scraping and includes residential proxies, making it ideal for localized data collection.
Nimbleway offers pay-as-you-go and subscription plans for its scraping API, providing flexibility for projects of all sizes.
ScraperAPI is a general-purpose web scraper API for scraping Amazon product data. It is compatible with various programming languages, including Python, NodeJS, PHP, Ruby, and Java.
The service automatically manages IP rotation, headers, and retries, and allows customization of parameters such as headers and sessions. Additionally, you can target specific countries from 12 available locations across the US and the EU.
Why free Python scripts fail vs. paid APIs
You might be tempted to build your scraper using Python libraries like BeautifulSoup or Selenium. While this approach is free, it is rarely scalable for Amazon.
The challenges of DIY scraping:
- CAPTCHA & IP Bans: Amazon immediately detects and blocks data center IPs. You need a massive pool of residential proxies to bypass this.
- Structural Changes: Amazon frequently updates its HTML structure, breaking custom parsers.
- Maintenance: You will spend more time fixing your script than analyzing data.
If you have engineering resources and still want to build your own, you can check out our step-by-step Python tutorial. However, for reliable business data, we recommend the APIs listed above.
How we tested Amazon scrapers
We tested 1,400 URLs from 7 leading Amazon web domains:
- amazon.es
- amazon.com
- amazon.ca
- amazon.co.uk
- amazon.de
- amazon.fr
- amazon.it
Amazon scrapers used in the benchmark
We tested the dedicated Amazon scraper APIs listed below.
Data fields extracted from Amazon via scraping APIs
Before leveraging these APIs, we recommend comparing the data fields you need with the data they provide. We sorted the API providers from left to right based on the number of fields they provide:
Search pages: What you can scrape
Notes:
- ✅ indicates that the respective provider supports the specific data field.
- Let’s explain ✅s and ❌s with an example: When you search for a specific wheel center cap on Amazon, you would see this search results page. Apify provides description fields for all results like this. Zyte doesn’t offer such descriptions; therefore, you see ❌ next to Zyte in the chart above.
- “Top Reviews” refers to the most prominent reviews for a product.
- “AmazonCustomers” text refers to consumer feedback specific to Amazon.
- All benchmarked APIs provide the following data points:
- Product page: Title, URL, ASIN, price, in stock, in stock text, brand, shipping price, stars, availability, reviews count, category, description, product information.
- Search page: Title, URL, brand, price, currency, image URL.
Product pages: Detailed data points
Which Amazon data can you scrape?
Web scraping must comply with Amazon’s terms of service and applicable laws. That being said, here is the information you could collect:
1. Amazon product data & price scraping:
This is the core of any Amazon price scraper. By parsing the HTML of a Product Description Page (PDP), you can extract:
- ASIN & Metadata: Unique identifiers needed for inventory management.
- Pricing: “InitialPrice”, “FinalPrice”, and “Discount” (Essential for price monitoring).
- Availability: Real-time “In Stock” status.
- Product details: Title, Brand, Description, and high-res Images.
Figure 1: Sample output of a product description page scraped from Amazon.
2. Scrape Amazon reviews for sentiment analysis:
- Review text & ratings: Analyze customer satisfaction.
- Reviewer profiles: Identify top contributors or verified purchase tags.
- Q&A section: Understand common customer pain points before they buy.
3. Amazon best sellers & category rankings:
An Amazon best-sellers scraper allows you to monitor market trends by category. You can collect:
- Sales rank (BSR): Identify which products are moving the fastest.
- Product position: See exactly where a product ranks in its category (as shown in Figure 2).
- Category metadata: Track new entrants in specific niche markets.
Figure 2: Shows sample output of scraped product data from Amazon best sellers.
FAQs about Amazon scrapers
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