Can Amazon's Product Advertising API replace the need for scraping entirely?

For certain use cases, the Amazon Product Advertising API (PA API) is a safer alternative. It offers structured data for product information, pricing, and reviews, and it's compliant with Amazon's policies. However, the PA API has limitations: it requires approval, has strict usage limits, and might not provide all the granular data points available on the product pages.

What challenges come with scraping Amazon?

Anti-scraping mechanisms are robust, including sophisticated bot detection, IP blocking, CAPTCHAs, and frequent website structure changes. Dynamic content loading via JavaScript means traditional HTTP request methods often miss data, requiring more complex headless browser solutions. Additionally, data consistency can be an issue, as pricing and availability vary by region, seller, and even user account.

What techniques are used to scrape Amazon safely?

To scrape Amazon safely and avoid detection or blocking, you can use: IP rotation and proxies: Using a pool of rotating residential proxies makes requests appear to come from different and legitimate users. User-agent rotation: Changing the User-Agent header with each request helps mimic different browsers and devices. Rate limiting and delays: Implementing random delays between requests and limiting the number of requests per minute. Headless Browsers: While more resource-intensive, using headless browsers (e.g., Selenium, Puppeteer) that execute JavaScript makes your requests look more like those from a real browser.

Are there alternatives to scraping Amazon?

Yes, there are several alternatives to directly scraping Amazon: Amazon Product Advertising API (PA API): This is Amazon's official way for developers to access product data programmatically. However, it has usage limits, requires approval, and doesn't always provide every single data point visible on the web page. Public datasets/aggregators: You might find existing public datasets or websites that legally aggregate

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Best Amazon Scraper APIs Ranked by Performance

Gulbahar Karatas

updated on Sep 29, 2025

See our ethical norms

We benchmarked top Amazon scraper APIs over 1,400 URLs from 7 Amazon domains and identified the most reliable and cost-efficient data extraction solutions. Follow the links to see our rationale behind selecting the top-performing tools:

See top solutions, data fields they extract, and best practices for using APIs while adhering to Amazon’s policies:

Solution type: Dedicated APIs are built to extract data from Amazon. General-purpose APIs can be used on any web page. Dedicated APIs tend to capture more data fields and have a higher success rate.
Supported page types: Some providers offer pre-configured scraper API templates designed for different types of Amazon data, such as the Amazon Reviews scraper API and the Amazon Products scraper API.

Pricing details of the best Amazon scrapers

Amazon scraping benchmark results

API response analysis

Compare providers’ response times and the data fields they return in our benchmark:

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Pricing of top Amazon scraper APIs

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We focused on the monthly rates, excluding any with annual discount options.
The pricing chart displays data exclusively for those with a success rate above 50%.
Providers are compensated only for successful results.

Data fields extracted from Amazon via scraping APIs

Before leveraging these APIs, we recommend comparing the data fields that you need with the data that they offer. 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

The 7 best Amazon scraper API providers

Bright Data provides 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.

Bright Data also offers a range of ready-made Amazon datasets that cover various Amazon data points, including product listings, seller information, and category insights.

Get a 25% discount on Bright Data’s Amazon scraper by using the coupon code API25.

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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 called OxyCopilot, which enables users to retrieve only the necessary data fields from a web scraping task.

Rather than extracting all the information from a webpage, OxyCopliot 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:

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 without support for JavaScript rendering and 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 support for JavaScript rendering, and access to a premium proxy pool. It also supports geo-targeting in over 100 countries.

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.

Choose Zyte for all-in-one scraping solution including unblocker and proxies

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Apify is a developer-focused web scraping platform that provides different web scraper 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 the input URL and country, providing country-level targeting support.

Choose Apify for developer-focused API solution

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Nimbleway provides an E-Commerce API capable of scraping 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 various project 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.

How to scrape Amazon data using Python (for free)

While commercial Amazon APIs provide convenience, scalability, and robust anti-bot measures, a custom Python script allows for complete control. It can be a cost-effective option for smaller, less frequent, or particular scraping tasks.

However, be aware that building and maintaining a free Python scraper for Amazon can present several challenges, including dealing with CAPTCHA, IP blocking, constantly changing website structures, and rate limits. For consistent and large-scale Amazon product data collection, a dedicated API often proves more reliable.

Check out our step-by-step Python tutorial on building your own Amazon scraper

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.

What is an Amazon scraping API?

An Amazon scraping API is a remote proxy and parser service specifically designed to extract publicly available data, such as product details, listing information, or search results, from Amazon.com and other Amazon regional sites.

These APIs streamline the process of extracting Amazon data, handling complex challenges such as CAPTCHA, IP blocking, and rotating proxies automatically.

Common features and parameters employed by providers often include:

device_type – Mobile or desktop emulation
render_js – Enable JavaScript rendering for dynamic content
url or asin – Target Amazon product or page identifier
geo_location – Specify country or city for localized results

Which Amazon data can you scrape?

Web scraping must comply with Amazon’s terms of service and relevant legal guidelines. That being said, here is the information you could collect:

Scrape product data: Scraping Amazon product data involves parsing the HTML code of the target product web page and extracting the desired data. This data could include a product image, review, Q&A section, and pricing.

Figure 2: Shows sample output of a product description page scraped from Amazon.

Scrape Amazon reviews: Scraping Amazon reviews involves extracting data about product reviews, including the review title, the reviewer’s username, and the review text.
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 based on their sales volume in a particular category. You might potentially collect information such as sales rank, star rating, and product category.

Figure 3: Shows sample output of scraped product data from Amazon best sellers.

Is it legal to scrape Amazon?

You may not scrape, collect, or duplicate the data provided to you from the Amazon Location Service other than public data. Web scraping can raise ethical and privacy issues, so it is crucial to understand potential legal and moral implications before scraping data from Amazon.

Amazon API enables individuals to access and extract data legally and in compliance with their terms of service. However, if the API is not suited for your specific use case, and you intend to use a web scraper, like an Amazon product scraper, here are some best practices you could consider:

Our best practices don’t constitute legal advice; you should seek legal advice for scraping projects.

Your Amazon scraper must respect the robots.txt file and comply with Amazon’s Terms of Service.
The data being scraped shouldn’t be personal data.
Respect the rate limiting imposed by Amazon. You may overload the servers, resulting in IP blocks.