Top 5 Amazon Scrapers: Best Tools to Extract Product Data in 2026

Scraping Amazon often ends in blocked requests or incomplete results, whether you are running a first simple script or one you have maintained for months. The reason is simple: Amazon's anti-bot defenses are among the strongest in the industry.

So, while you might find a way around, accuracy and scale are equally crucial. For most, it’s just about making the process easier and more reliable. This is where Amazon Scrapers come in handy.

We’ve included a curated list of the top Amazon scrapers, along with best practices to help you start. To give you full context, this guide also covers the challenges of Amazon scraping and why scraping tools are used. Also, the common question of why proxies are needed for scraping is explained.

What Are Amazon Scraping Tools?

Gathering structured data would take forever if you’re manually going through Amazon listings. Automation gets you out of the hassle, but at the cost of wasting resources when not done properly.

Amazon scraping tools are designed specifically for it. They extract structured data (CSV, JSON, or Excel) without manual intervention. You can use them to collect Amazon product data like titles, prices, ratings, reviews, seller details, and more.

These tools scrape Amazon pages by clicking, scrolling, and loading content, just like a user (simulating browser activity). The other extracts data from the raw source code of Amazon pages (HTML parsing). There is no single type of Amazon scraper.

Amazon Scrapers are usually available as browser extensions or standalone tools with intuitive dashboards. Features like scheduling options, built-in parsing, and export features are offered for easy workflows. However, for developers and power users, API-based access, SDK support, and custom configurations are among the common offerings.

Amazon Scraping Challenges: Why Scraping Tools?

Before learning when and where to use Amazon scraping tools, it is important to understand the challenges that come with scraping Amazon. This gives you the context to judge better, especially when choosing a tool for your scraping needs. Here are the core issues you’ll run into:

• Too many requests from a single IP can get blocked quickly if rotation isn’t used.
• Amazon’s layout often changes, which breaks extraction methods without notice.
• Some content, including variation selectors, review modules, and lazy-loaded images, loads outside of static HTML.
• Listings and prices vary by location, so data without geo-targeting can be misleading.
• Amazon tracks behavior and triggers CAPTCHAs if activity seems automated.
• Scraping too early can capture half-loaded pages or incomplete product data.
• In addition to other detection vectors, Amazon WAF uses behavioral scoring and TLS fingerprinting, so datacenter IP ranges are commonly filtered on the first few requests.

That’s exactly where Amazon scraping tools help. They handle dynamic content, rotate IPs, and adapt to Amazon’s detection systems. With the right setup, you get clean and structured data without blocks, gaps, or wasted effort.

Top 5 Amazon Scraping Tools in 2026

As said earlier, scraping tools aren't all the same. To make it easier for you, we've categorized different types of Amazon scrapers and presented a reliable tool under each.

Before we proceed with each, here's a quick comparison of the scraping tools.

Octoparse – Best No-Code Visual Scraper

If you don’t want the hassle of writing code but still need reliable Amazon data, a no-code scraping tool like Octoparse might be exactly what you’re looking for. It’s basically a visual scraper that extracts Amazon product data simply by providing the URL.

Once done, Octoparse proceeds to scrape and automatically detects the data. You can customize fields like pagination or images using drag-and-drop and then export the results. It lets you download structured data in formats like Excel, CSV, JSON, HTML, or XML.

The best part is that you get built-in IP rotation and CAPTCHA handling. Plus, the prebuilt Amazon scraping templates make the tool even easier to use. If you want more control, you can also opt for customization and API integration.

Pricing is based on the tasks. The standard plan starts at $83 per month, which gives you 100 tasks. You also get a free plan that offers 10 tasks, with the enterprise plan available on request.

Apify – Best for Template-Based Scraping

If no-code scrapers feel too basic, a step up is template-based scraping. That’s exactly where Apify fits in. It is well known as a full-stack scraping platform where you can pick from thousands of ready-to-use scrapers, including Amazon.

To scrape Amazon using Apify, select a prebuilt actor like Amazon Product Scraper from the Apify Store. Paste the product URL, set the number of results you need, and proceed. You can enable extras like CAPTCHA solving or price variant scraping and choose from residential, datacenter, or your own proxies. However, the offerings depend on the actor selected.

Apify Amazon actor handles the rest, returning data like ASINs, titles, prices, reviews, and product descriptions. You can export the output directly or connect it to tools like Google Sheets, Slack, or Zapier. If you want full control, you can even build your own actor using Apify’s Crawlee library or API access.

Apify runs on compute units, and the free plan offers $5 worth of credits every month. Subscription starts at $29 with the Starter plan, but the final cost will be based on the actor you'll scrape Amazon with.

Oxylabs – Best Web-Scraping APIs

Proxy-based APIs are the way to go if you want to skip the browser interface and just access clean Amazon data through simple API calls. With Oxylabs' Web Scraper API, you can query Amazon directly by passing parameters like ASIN, domain, geo-location, and whether you want the content parsed.

You get access to structured results like product titles, stock status, prices, reviews, and images in JSON format. The API also handles proxy rotation, CAPTCHAs, and JavaScript rendering, so you don’t have to manage any of that manually.

For more control, you can define your own parsing logic using XPath or CSS selectors with the Custom Parser. If you need to run jobs regularly, the Scheduler lets you automate tasks, send results to cloud storage, and get notified once they're done. The free plan provides up to 2,000 results, with the Micro plan starting at $49/month. You can also use Oxylab's free Amazon scraper, which is available on GitHub.

ScraperAPI – Best Scraper for Developers

For Amazon data, ScraperAPI is a strong choice. Instead of solving CAPTCHAs or dealing with headless browsers and bot detection, you can simply send a request to their Amazon endpoint.

Scraper API lets you extract search results, ASIN details, offers, reviews, and more while offering clean and structured data in JSON format. It also comes with built-in geotargeting and advanced anti-bot detection

For high-volume use cases, Scraper’s Async scraper lets you send millions of requests in parallel. On the other hand, the no-code Data Pipeline lets you schedule recurring scrapes and deliver data to your app or cloud storage. The best part is that you can also format the output for use with LLMs or feed it directly into your models.

ScraperAPI works on credits. The free plan gives you 5000 credits for a 7-day trial, and the subscription starts at $49 per month (Hobby Plan), which unlocks 100,000 API credits. In addition to a business plan, there is a Scaling plan, which is ideal for teams looking to scale their operations.

Bright Data – Best All-in-One Scraper

Bright Data offers the best of both worlds. You can choose its plug-and-play scraper to avoid the hassle of coding or the API for more control. It also offers pre-defined templates to scrape listings, reviews, ASINs, seller info, and more straight from the dashboard.

For more advanced workflows, the API handles bulk requests, with options to scrape by product, seller, or search query. Results can be delivered in formats like JSON or CSV, and scheduling and webhook delivery are available.

All the advanced features like JavaScript rendering, IP rotation, and CAPTCHA handling are built into the infrastructure. Bright Data is also suitable for enterprises, offering high-volume support, custom delivery options, and compliance with privacy regulations.

Bright Data has a free tier offering 5,000 records a month, and the best part is that you can go commitment-free with the “Pay-as-you-go” plan. You also get curated subscriptions, which start at $499 per month (Growth) and are explicitly designed for teams.

Why Use Proxies for Amazon Scraping?

You might have noticed that the scraping tools often rely on proxies. But why are proxies essential for Amazon scraping? They work together, where proxies help keep your requests flowing by minimizing the risk of blocks, errors, or missing data. Here’s how proxies help:

• Distribute Requests Across IPs: Amazon blocks an IP if multiple requests are sent through it frequently. Using a proxy with a rotating proxy pool diversifies your traffic across different residential IPs, so your chances of detection are much lower.
• Access Region-Specific Listings: Amazon shows different products and prices depending on where you're browsing from. With proxies, you can simulate a real user while being able to select a location. This way, you can collect geo-targeted data accurately without blocks.
• Maintain Stability for Long Sessions: If your tasks often go long and need session stability, using a static residential proxy is the best bet. It gives you both stability and IP authenticity, so sessions don’t reset or fail midway.
• Get Faster Response Times at Scale: Scraping large product catalogs demands speed. You can pair a proxy backed by a high-speed network and achieve faster response times while reducing request delays.

With multiple proxies on offer, many are left with a question. What is the right proxy for Amazon product scraping?

To put it briefly: ISP proxies suit workflows that need the same IP across a sequence of requests, such as for scraping paginated results, running category-level product research, or holding a regional context. Residential proxies work well for medium to large scraping sessions or rotating needs, where IP changes isn't a typical bot flag. Likewise, datacenter proxies can also do the job in some cases. However, we don’t usually recommend them for scraping Amazon as they are more likely to get detected.

For starters, you can try our 1 GB free residential data. Since we offer the best success rate (81.23%, as researched by Proxyway) against real-world targets in the entire proxy industry, your scraper will have a better chance of getting through.

Byteful also offers a RESTful API that lets you manage proxy inventory, rotate IPs on demand, and track usage in real time. While we don’t scrape Amazon data directly, it can be seamlessly used with the infrastructure behind your custom or third-party scrapers.
Our API returns data in JSON and supports filtering by proxy type, country, or ASN. It gives you complete flexibility and control for scalable scraping setups.

Is It Legal to Scrape Amazon? Rules, Risks & Best Practices

Worried that scraping Amazon might land you in trouble? If you're new to scraping, it's a fair concern. As long as you scrape data that doesn’t go against Amazon’s Conditions of Use and Sale, you should be safe.

Scraping publicly visible product data isn’t illegal to begin with. However, Amazon has clearly forbidden data mining or reuse without written consent. As we analyze Amazon’s robots.txt, this becomes more clear.

• Product availability, pricing, and offer listings are blocked from scraping.
• Login and account access pages are off-limits.
• Customer reviews, wishlists, and profiles can’t be scraped.
• Certain bots like GPTBot, EtaoSpider, PerplexityBot, and CCBot are fully denied access.

So, how do you stay safe while flying under Amazon’s radar? Stick to public product pages, avoid login areas, and avoid user content. Always limit how often your scraper makes requests, rotate residential IPs using efficient proxies, and follow robots.txt and crawl-delay rules.

Those who scrape at scale avoid copyrighted media and personal data. If you’re targeting data from specific regions, always comply with local laws (e.g., GDPR, CCPA, etc.).