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. Follow the links to see our rationale behind selecting the top-performing tools:

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

Before diving into individual tools, it is critical to understand why they ranked this way. 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).

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:

1. The enterprise winner (Zyte): If you are scraping millions of pages, it is nearly 2.5x cheaper than the competition.
2. The stable option (Bright Data): Bright Data offers flat, predictable efficiency (~950 requests/$). You don’t need massive volume to get a reasonable rate.
3. The premium option (Apify): Apify remains the most expensive per request (~150 requests/$), likely due to the overhead of their platform features.

Detailed breakdown of each provider

Bright Data is the heavyweight in the market. They provide both API-based and no-code solutions for scraping Amazon data. Its Amazon Scraper API is proxy-based and specifically designed to extract various data types from Amazon, including product data, reviews, and seller information.

In our benchmarks, while it wasn’t the fastest, it captured significantly more data points per product page than any other competitor. Bright Data also offers a range of ready-made Amazon datasets covering product listings, seller information, and category insights.

• Benchmark score: 9.8/10 for data richness
• Success rate: 99.98%
• Median speed: ~66 seconds

KeysSpecs:

• Output formats: JSON, JSON Lines, NDJSON, CSV.
• Solution type: Dedicated API.
• Supported pages: Products, Reviews, Search, Sellers, Best Sellers.

Pros:

• Unmatched detail: Retrieved an average of 686 data fields per page (highest in test).
• Stability: Extremely high success rate on difficult Amazon pages.
• Predictable cost: Pricing efficiency remains stable (~950 requests per $) across scales.

Cons:

• Price: High entry point ($499/mo).

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. The provider offers two tiers of scraping APIs: Core and Advanced plans. The core plan offers a basic scraping setup, providing only raw HTML output and no support for JavaScript rendering or premium proxy pools. It includes geo-targeting in 8 countries.

The advanced plan provides a more robust solution, offering HTML, JSON, and parsed output options, full JavaScript rendering support, and access to a premium proxy pool. It also supports geo-targeting in over 100 countries.

• 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:

• Blazing fast: Tied for the fastest speed in our benchmark.
• Affordable: Lowest entry barrier in the top tier.
• Efficiency: Good balance of speed and cost (~800 requests/$).

Cons:

• Data depth: Captures less than half the fields that Bright Data does.

Oxylabs provides a general-purpose Web Scraping API that includes a dedicated endpoint for the Amazon website. The provider doesn’t offer specialized APIs, such as a product page or a review scraper, as Bright Data does. The scraper can be integrated either as a proxy or through an API.

The API features an AI-powered assistant, OxyCopilot, that enables users to retrieve only the necessary data fields from a web scraping task. Rather than extracting all the information from a webpage, OxyCopilot can select specific fields, such as product_name, price, availability, and rating, from a particular URL.

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:

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.

Cons:

• Limited data: Returned the fewest data fields (131) in our detailed analysis.

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 price per request. 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.

Cons:

• Expensive: The least cost-efficient per request (~150 requests/$) in our comparison.

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, while also allowing 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:

1. CAPTCHA & IP Bans: Amazon detects and blocks data center IPs immediately. You need a massive pool of residential proxies to bypass this.
2. Structural Changes: Amazon frequently updates its HTML structure, breaking custom parsers.
3. 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.

Methodology: How we measured 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 ❌ under Zyte in the above chart.
• “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. Scrape product data: Scraping Amazon product data involves parsing the HTML of the target product page to extract the desired data. This data could include a product image, review, Q&A section, and pricing.

Figure 1: Sample output of a product description page scraped from Amazon.

2. Scrape Amazon reviews: Extract data from product reviews, including the review title, reviewer’s username, and review text.
3. Scrape Amazon best sellers: Data about the top-selling products on Amazon’s website or in a specific category. Amazon’s best-selling products are generally ranked by sales volume in a given category. You might potentially collect information such as sales rank, star rating, and product category.

Figure 2: Shows sample output of scraped product data from Amazon best sellers.

FAQs about Amazon scrapers

Industry Analyst

Gulbahar Karatas

Industry Analyst

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Gülbahar is an AIMultiple industry analyst focused on web data collection, applications of web data and application security.

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