Best Amazon scraper tools: #1. Browseract Amazon Bestsellers Scraper #2. Scrapy #3. Bright Data #4. Apify #5. Octoparse #6. Decodo #7. Selenium #8. ScraperAPI #9. Thunderbit #10. Outscraper #11. Scrapingdog #12. ScrapingBee #13. Oxylabs #14. WebScraper.io #15. Zenrows

In 2025, Amazon will dominate e-commerce, with projections showing it capturing over 50% of the U.S. market and contributing to $7.4 trillion in global online retail sales. Its net sales are expected to exceed $700 billion annually, fueled by millions of products, real-time pricing, and consumer data. Businesses need efficient ways to collect Amazon product data for market insights without high costs. How can you achieve this?

Tools like Amazon scrapers play a vital role in competitive analysis, price tracking, and inventory monitoring. They allow you to extract key details such as prices, reviews, and rankings directly from the platform. Looking ahead to 2025, trends point to AI-powered options that automate the process and no-code platforms that simplify setup for everyone. If you're searching for the best Amazon scraper to fit your needs, this guide will point you in the right direction.

We'll rank the top 15 amazon scraping tools for 2025 based on factors like ease of use, scalability, data accuracy, pricing, and ability to handle Amazon's anti-scraping measures—starting with our #1 pick, the Browseract Amazon Bestsellers Scraper, which stands out for its ready-to-use templates and cloud-based automation. Each tool is evaluated with pros, cons, and real-world applications to help you pick the best fit for your needs, whether you're a small business owner tracking prices or a data analyst building custom datasets.

What to Look for in an Amazon Scraper in 2025

Selecting the right Amazon scraper means evaluating several core factors to ensure it meets your needs for data extraction. This section breaks down the key criteria and trends shaping these tools in the coming year.

Key Criteria for Choosing an Amazon Scraper

Key features for any Amazon web scraper include the following. Here's a breakdown of the most important ones:

• Ease of Use: Prioritize tools with intuitive interfaces, such as drag-and-drop builders or pre-made templates, so you can start extracting data quickly without needing coding expertise. This is ideal for beginners or teams with limited technical resources.
• Scalability: Choose options that can handle growing demands, like scraping thousands of product pages simultaneously. Look for cloud-based systems that scale automatically to manage high-volume tasks without performance drops.
• Anti-Bot Evasion: Effective tools should include features like proxy rotation, user-agent switching, and CAPTCHA solvers to bypass Amazon's detection mechanisms. This ensures consistent access and reduces the risk of blocks during scraping sessions.
• Data Accuracy: The Amazon product scraper must deliver precise, real-time results, accurately parsing elements like product titles, descriptions, and specs. Test for reliability in handling dynamic content to avoid incomplete or outdated data.
• Pricing: Evaluate costs based on your budget—free open-source options work for basic needs, while paid plans offer advanced support. Consider value for money, including any usage-based fees for large datasets.
• Integration: Seek seamless connections with other systems, such as APIs for data export to databases or tools like Google Sheets. This simplifies incorporating scraped data into your workflows.
• Support for Scraping Amazon Product Data: Ensure the tool can extract product data like prices, reviews, images, ratings, and seller information. Versatility in handling various page types, from search results to individual listings, is crucial for comprehensive analysis.

Emerging Trends in 2025

In 2025, Amazon scraping tools are evolving with AI integration to automate complex tasks, such as identifying patterns in product data. Cloud-based scraping provides flexibility by running tasks remotely, reducing the need for local hardware. Mobile optimization is also on the rise, allowing you to scrape Amazon from various devices efficiently. These trends make it easier to scrape Amazon product data at scale, adapting to the platform's constant updates.

By focusing on these elements, you'll find an Amazon scraping tool that fits your goals, whether for small projects or enterprise-level operations.

Quick Comparison Table: Top 15 Amazon Scrapers for 2025

With these key criteria in mind, this table compares the top 15 Amazon scrapers for 2025 across ease of use, coding requirements, scalability, anti-bot evasion, data accuracy, pricing, integration, and support for scraping Amazon product data. Ratings are summarized as High, Medium, or Low for simplicity, providing a quick overview before diving into the detailed reviews below. Tools are listed in ranked order to help you identify the best fit at a glance.

This comparison table highlights the range of Amazon scraping tools available in 2025—you can scan it to quickly select your favorite based on factors like budget, technical expertise, and scraping scale. The sections below delve into each tool in detail.

#1. Browseract Amazon Bestsellers Scraper

Browseract's Amazon Bestsellers Scraper is a ready-to-use template on their browser automation platform, perfect as an Amazon scraper for extracting real-time data from Amazon's bestsellers pages. It automates browser actions in the cloud to scrape Amazon product data like titles, prices, ratings, reviews, seller info, and rankings across categories. No coding required—just input the target category and run tasks. It's built for scalability, with features like proxy rotation and scheduling to avoid detection, making it an ideal Amazon web scraper for e-commerce analysts.

Key Features

• Automated Data Extraction: Scrapes key details from Amazon Best Sellers pages, including product rank, name, link, price, rating, number of reviews, and product URLs.
• Browser-Based Automation: Runs tasks using automated browser sessions in the cloud without local installation, supporting unlimited concurrent runs and automatic scaling for large datasets.
• No-Code Customization: Use pre-built templates with easy modifications via a visual editor; input category URLs to target specific bestsellers like electronics or books.
• Proxy and Anti-Detection Support: Includes built-in proxy rotation and browser fingerprinting to evade blocks, ensuring reliable scraping sessions.
• Scheduling and Integration: Set up automated schedules for recurring scrapes by integrating with platforms like Make or n8n; export data directly to CSV, JSON, or connect via APIs for seamless workflows.
• Real-Time Monitoring: Handles dynamic content with live updates, allowing extraction of up-to-date bestseller rankings and product metrics.

How to Use Browseract Amazon Best Sellers Scraper

Getting started is straightforward. Follow these steps to scrape Amazon bestsellers data with BrowserAct Amazon Scraper:

• Register Account: Create a free BrowserAct account using your email.
• Configure Input Parameters: Fill in necessary inputs like Department (e.g., "Clothing, Shoes & Jewelry") – or use defaults to learn how to scrape Amazon quickly.
• Start Execution: Click "Start" to run the workflow.
• Download Data: Once complete, download the results file from Amazon scraping.

Pros

• User-friendly interface for quick setup and operation.
• Browser-based with no need for local hardware or software installation.
• Customizable templates that adapt to different Amazon categories.
• Integrates with automation platforms like Make or n8n for scheduling and API connections.
• Handles dynamic content effectively, reducing errors in extraction.
• Free to use with available templates and trial options.

Cons

• Primarily optimized for bestsellers pages; may need custom tweaks for other Amazon sections like search results.

Pricing

Free to try with 500 credits daily upon login; join Discord for an extra 2000 credits. Supports pay-as-you-go at $1 for 1000 credits.

Best For

Beginners and small teams needing a quick, no-code Amazon scraper for bestseller insights, with easy customization, cloud automation, and integration options for efficient market research workflows.

Ready to extract real-time Amazon bestseller data effortlessly? Sign up for Browseract today and try the Amazon Bestsellers Scraper template for free!

#2. Scrapy

Scrapy is an open-source Python framework that's a powerhouse Amazon product scraper for developers. It allows you to build custom spiders to scrape Amazon, extracting Amazon product data like ASINs, descriptions, and images via XPath/CSS selectors.

Key Features

• Custom Spider Development: Create tailored crawlers to navigate and extract data from specific Amazon pages, such as product listings or search results.
• Efficient Parsing Tools: Utilizes XPath and CSS selectors for precise extraction of elements like prices, reviews, and images.
• Middleware for Advanced Handling: Supports extensions for proxies, retries, and custom logic to manage anti-scraping challenges.

Pros

• Free and open-source with no licensing costs.
• Highly customizable for unique scraping needs.
• Fast performance for large-scale operations.
• Strong community support with extensive documentation and forums.

Cons

• Steep learning curve for non-developers.
• Requires coding to set up and maintain spiders.
• Users must handle anti-scraping measures like proxies themselves.

Pricing

Free (open-source).

Best For

Developers building bespoke Amazon data scrapers with high customization, fast processing for large datasets, and community-backed extensions for advanced, tailored e-commerce data extraction projects.

#3. Bright Data Amazon Scraper

Bright Data's Amazon Scraper is a premium amazon data scraper designed to effortlessly collect structured data from Amazon, including ASIN, seller name, merchant ID, title, URL, image URL, category tree, brand, product overview, description, sizes, colors, styles, availability, arrival time, initial price, final price, models, images, features, ratings, and reviews. It offers both API-based and no-code options for easy setup, with automation features for scaled scraping and direct data delivery.

Key Features

• Comprehensive Data Extraction: Scrapes a wide range of Amazon data points, such as ASIN, seller name, title, URL, image URL, category tree, brand, product description, sizes, colors, availability, prices (initial and final), models, images, features, ratings, and reviews.
• API and No-Code Options: Provides an Amazon Scraper API for parameter-based data collection and a "Plug and Play" no-code scraper via a control panel for easy input and interaction without coding.
• Automation and Delivery: Supports building custom schedulers for recurring scrapes at your preferred frequency; results can be retrieved from the control panel, delivered to your storage, or downloaded directly in formats like JSON or CSV.

Pros

• Advanced proxy network for global IP rotation and high success rates.
• Powerful data unblocking to handle complex anti-scraping defenses.
• Enterprise-grade scalability with real-time data extraction and management tools.

Cons

• Expensive pricing, making it less suitable for casual or small-scale users.
• Requires some setup for custom integrations, which may overwhelm beginners.
• No free trial available.

Pricing

Pay-as-you-go at $1.5 per 1,000 results.

Best For

Large-scale enterprises requiring robust, high-volume Amazon data scraping with advanced unblocking, proxy support, and automated scheduling for comprehensive market analysis.

#4. Apify Amazon Scraper

Apify's Free Amazon Product Scraper processes inputs like product URLs or ASINs to collect information such as title, price, description, images, reviews, ratings, seller details, and more, with support for cloud-based runs and data export in various formats.

Key Features

• Input Flexibility: Accepts Amazon product URLs or ASINs as inputs, allowing easy targeting of specific items for scraping data like title, current price, original price, availability, images, and customer reviews.
• Comprehensive Output: Delivers structured results in JSON, CSV, or Excel formats, including fields such as product description, ratings, seller information, and shipping details, with options for handling multiple products in one run.
• Proxy and Cloud Support: Integrates with Apify's proxy system for anti-detection and runs tasks in the cloud, supporting scheduling and automation for efficient, hands-off scraping.

Pros

• Free to use with generous limits for basic scraping needs.
• No-code setup via Apify's platform, making it accessible for non-developers.
• Scalable cloud execution with built-in proxy rotation for reliable results.

Cons

• Limited to 7 pages per Amazon scrape in all versions.
• May require Apify account and some configuration for advanced use.

Pricing

Free for basic use; pay-as-you-go at $12 per 1,000 results for additional capacity.

Best For

Users seeking a free, easy-to-use Amazon web scraper for extracting detailed product info from URLs or ASINs, with cloud support and export options ideal for small-scale market research or price tracking tasks.

#5. Octoparse Amazon Scraper

Octoparse provides a suite of no-code Amazon web scraping tools for collecting Amazon data by entering keywords or ASINs, extracting details like ASIN, price, reviews, description, rating, and brand.

Key Features

• Variety of Specialized Scrapers: Includes dedicated tools like Amazon Scraper for listing pages, Amazon Product Scraper for detailed pages, Amazon Prime Scraper for location-specific Prime listings, and Amazon Reviews Scraper for customer feedback analysis.
• No-Code Automation: Effortless setup with visual interfaces to automate data collection, overcoming Amazon API limits for deeper insights and streamlined workflows.
• Integrations and API Support: Syncs with tools like Zapier, Google Sheets, and databases; provides Amazon Scraper API for task management, automation, and result retrieval.

Pros

• Intuitive no-code interface for easy setup and automation without programming.
• Specialized templates for various Amazon scenarios, enabling deep insights into products, Prime listings, and reviews.
• Flexible exports to Excel, CSV, JSON, HTML, XML, and integrations with popular tools.
• Overcomes Amazon API limits for more comprehensive and organized data delivery.

Cons

• Free version limited to basic tasks and small data volumes.
• Premium plans required for heavy use, unlimited tasks, or advanced API features.

Pricing

Free tier available; paid plans start from $69/month.

Best For

Non-coders needing a versatile suite of Amazon scrapers for extracting product, Prime, and review data from listings and pages, with API support and tool integrations ideal for marketing strategies, content creation, and in-depth e-commerce analysis.

#6. Decodo Amazon Scraper API

Decodo's Amazon Scraper API is for extracting product listings, prices, offers, ASINs, Q&A, search results, and more in HTML, JSON, or CSV formats. It features zero CAPTCHAs, 99.99% success rate, 195+ locations for geotargeting, task scheduling, built-in proxies, JS rendering, and browser fingerprints for seamless, block-free data collection, with easy integration via Python, Node.js, or cURL.

Key Features

• Comprehensive Data Extraction: Scrapes key points like product lists, details, images, ASINs, prices, offers (including discounts, coupons, shipping), search results, customer Q&A, and market trends in structured formats.
• Anti-Bot and Proxy Integration: Handles CAPTCHAs and blocks with integrated browser fingerprints and 125M+ proxies, ensuring 100% success (pay only for successful requests) and real-time or scheduled scraping.
• Easy Integration and Automation: Supports low-code setup with ready-made templates, API Playground for testing, and automation for workflows, including flexible outputs and country-level targeting.

Pros

• High success rate (99.99%) with zero CAPTCHAs and automatic retries for reliable data.
• Flexible outputs in HTML, JSON, or CSV, plus geotargeting from 195+ locations.
• Easy integration with languages like Python, Node.js, or cURL, and task scheduling for automation.

Cons

• Pricing is per-request, which can add up for very high volumes.
• Requires API setup or some technical knowledge for integration.

Pricing

7-day free trial; pay-per-use based on request volume, with rates up to $0.88 per 1,000 requests (lower rates for higher volumes).

Best For

Businesses and developers needing a reliable API for scraping Amazon product data like ASINs, prices, and offers with anti-bot features, geotargeting, and scheduling, ideal for market trend analysis, e-commerce monitoring, or automated data pipelines without infrastructure management.

#7. Selenium

Selenium is a browser automation tool (often used in Python) for dynamic web scraping. It simulates user interactions to scrape Amazon product data from JavaScript-loaded pages, making it suitable for handling complex, interactive elements on Amazon sites.

Key Features

• Browser Automation: Simulates real user actions like clicking, scrolling, and form submissions to navigate and extract data from dynamic Amazon pages.
• Cross-Browser Support: Works with multiple browsers (e.g., Chrome, Firefox) via WebDriver, allowing consistent scraping across different environments.
• Integration with Languages: Supports Python and other languages for scripting, with capabilities to handle JavaScript-rendered content and integrate with tools like Beautiful Soup for parsing.

Pros

• Completely free and open-source with no costs.
• Effectively handles interactive elements and dynamic content on sites like Amazon.
• Cross-browser compatibility for flexible testing and scraping.
• Easy to extend with add-ons for advanced automation.

Cons

• Slower performance compared to API-based or lightweight tools due to full browser simulation.
• Prone to detection by anti-bot systems without additional proxies or stealth measures.
• Requires coding knowledge and setup for effective use.

Pricing

Free.

Best For

Developers dealing with dynamic content on Amazon, needing browser automation to simulate interactions for scraping JavaScript-heavy pages like product details or reviews in custom e-commerce data projects.

#8. ScraperAPI Amazon Scraper

ScraperAPI's Amazon scraper allows you to retrieve structured product details, reviews, offers, search results, and pricing in JSON format via simple API calls. It supports no-code interfaces, scheduling, advanced anti-bot bypassing, and high success rates for scraping Amazon at any scale, with options for LLM-ready data, async processing, and geotargeting for localized insights.

Key Features

• Structured Data Extraction: Send GET requests to fetch JSON data from Amazon search results, product ASINs, offers, and pricing, including product details, reviews, and seller information.
• No-Code and Automation Tools: Use DataPipeline for building and scheduling complete scraping projects without code, submitting ASINs or queries for automated exports in JSON/CSV or via webhooks; includes geotargeting for localized data.
• Advanced Scaling Options: Features Async Scraper for high-speed, large-scale projects with millions of simultaneous requests, handling timeouts, retries, and anti-scraping; supports LLM-ready output in text or markdown format to reduce data cleaning.

Pros

• Simple API integration for quick setup and high success rates with anti-bot bypassing.
• No-code options like DataPipeline for automating entire scraping workflows.
• Scalable for enterprise-level projects with async processing and geotargeting.
• Delivers structured, LLM-ready data to speed up analysis and model training.

Cons

• No free trial available, requiring immediate commitment to paid plans.
• Pricing can add up for very large-scale or frequent scraping needs.
• Relies on API calls, which may need development knowledge for custom integrations.

Pricing

No free trial; plans start from $49/month.

Best For

Developers and businesses needing a reliable API-based Amazon scraper for structured product data, reviews, and searches at scale, with no-code automation, async capabilities, and geotargeting ideal for localized e-commerce insights or AI model training.

#9. Thunderbit Amazon Product Scraper

Thunderbit's Amazon Product Scraper is a pre-built Amazon scraping tool designed to extract detailed product information from Amazon SKU detail pages. It gathers structured data such as product names, prices, ratings, reviews, and more, making it ideal for e-commerce professionals, market researchers, and brand managers conducting analysis or research on Amazon products.

Key Features

• Detailed Product Extraction: Pulls comprehensive data from Amazon SKU pages, including product names, prices, ratings, reviews, and additional attributes for structured output.
• Pre-Built Template: Ready-to-use scraper that simplifies gathering information directly from product detail pages without custom coding.
• Chrome Extension Support: Can be installed as a plugin in Google Chrome for easy, browser-integrated scraping and quick access to the tool.

Pros

• Easy-to-use pre-built template for quick setup.
• Extracts detailed, structured data ideal for professional analysis.
• No coding required for basic extraction.

Cons

• Limited to Amazon SKU detail pages; not for broader scraping like search results.
• Lacks advanced features like scheduling without additional setup.

Pricing

Free trial available for scraping 6 pages per month; Thunderbit platform offers subscription plans starting at $15/month.

Best For

E-commerce professionals, market researchers, and brand managers needing a simple, pre-built Amazon product scraper for extracting detailed SKU data like names, prices, and reviews from detail pages, ideal for structured analysis and research projects.

#10. Outscraper Amazon Products Scraper

Outscraper's Amazon Products Scraper is designed for high-quality extraction of product data from Amazon, offering clean, structured datasets with features like cloud-based scraping to avoid IP blocks. It's trusted by thousands of users worldwide for tasks such as market research and e-commerce analysis, with regular updates and limitless scaling for handling large volumes of data efficiently.

Key Features

• High-Quality and Reliable Extraction: Provides accurate, structured data with a focus on cleanliness and reliability, trusted by individuals and companies for scraping Amazon product data like details, prices, and reviews.
• Speed and Limitless Scaling: Utilizes global servers for fast processing and handles thousands of extractions simultaneously, supporting millions of tasks without limits.
• Cloud Scraping with Updates: Runs on cloud servers to prevent IP compromises; includes regular updates to tools and technology for the latest features and functionalities.

Pros

• High reliability with clean, structured datasets for accurate analysis.
• Fast scraping speeds powered by global servers and limitless concurrent tasks.
• Cloud-based to avoid IP blocks and ensure secure, efficient operation.
• Regular updates keep the tool current with new features.

Cons

• Free usage limited to the first 500 products, requiring a subscription for more.
• May need some setup for custom queries or large-scale integrations.

Pricing

Free for scraping the first 500 products; subscriptions available for additional usage.

Best For

Users seeking a reliable, cloud-based Amazon product scraper for high-quality, scalable data extraction like product details and prices, with free initial access ideal for market research, e-commerce monitoring, or testing before committing to subscriptions.

#11. Scrapingdog Amazon Scraping API

Scrapingdog's Amazon Scraping API extracts titles, prices, images, and other product details from search queries, managing proxies and anti-blockage measures for seamless, real-time data retrieval. It supports comprehensive extraction for use cases like competitor monitoring, market analysis, and product development, with scalability for growing data needs.

Key Features

• Comprehensive Data Extraction: Pulls detailed product info including title, price, ratings, description, images, and more from Amazon search results or pages.
• Real-Time Retrieval and Anti-Blockage: Delivers live, up-to-date data with built-in proxy management to bypass blocks and ensure blockage-free scraping.
• Scalability for Large Volumes: Easily handles increased data collection as needs grow, supporting high-volume requests without performance issues.

Pros

• Free 30-day trial with 1000 credits and no credit card required.
• Cost-effective with scalability for business growth and use cases like price monitoring.

Cons

• API-focused, requiring some development knowledge for integration.
• Free trial limited; full access requires subscription after credits are used.

Pricing

30-day free trial with 1000 credits (no credit card required); subscriptions start from $40/month.

Best For

Businesses and developers needing a scalable Amazon scraper API for real-time product data like titles, prices, and ratings from searches, with proxy handling ideal for competitor monitoring, market entry analysis, and data-driven strategies in e-commerce.

#12. ScrapingBee Amazon API

ScrapingBee's Amazon API delivers structured JSON data for products, reviews, pricing, and more in a single API call, bypassing common issues like anti-bot systems, proxy rotation, and headless browser management. It includes Product API for ASIN-based extraction and Search API for results, making it ideal for e-commerce analysis, real-time insights, and automation without needing a DevOps team.

Key Features

• Product and Search APIs: Extract detailed data from Amazon using ASIN codes (Product API) or search queries (Search API), including products, reviews, pricing, and shipping info in structured JSON format.
• Built-in Geo Control: Scrape localized results from any location or language without VPNs or manual IP rotations, perfect for regional e-commerce analysis.
• Instant Results and Integration: Provides real-time data with dev-ready support for languages like Python, JS, PHP, and curl, including clear documentation and prebuilt code snippets for quick setup.

Pros

• Simplifies scraping by handling anti-bot systems and proxies automatically.
• Easy integration with no framework needed, saving development time.
• Geo-targeting for accurate, location-specific Amazon data.

Cons

• Subscription required for full access, with no free tier mentioned.
• API-focused, requiring some coding knowledge for implementation.
• May not suit non-technical users without additional tools.

Pricing

Free trial with 1,000 credits; subscriptions start from $49/month.

Best For

Developers and e-commerce analysts needing a simple API for structured Amazon product data, reviews, and searches with geo-control and real-time results, ideal for scalable analysis without managing proxies or browsers.

#13. Oxylabs Web Scraper API for Amazon

Oxylabs' Web Scraper API for Amazon delivers real-time data on listings, prices, sellers, ASIN, Q&A, and bestsellers without IP blocks or CAPTCHAs. It provides localized content from any Amazon marketplace in parsed JSON format, with features like AI integration, auto-generated code via OxyCopilot, custom parsing, and scheduling for efficient, automated extraction—paying only for successful results.

Key Features

• Targeted Data Extraction APIs: Supports simple API calls for product, search, pricing, sellers, and bestsellers data, extracting details like ASIN, Q&A, and localized content in structured JSON.
• AI-Powered Code Generation: Uses OxyCopilot to auto-generate scraping requests and parsing instructions via prompts in the Web Scraper API Playground, eliminating manual coding for quick setup.
• Advanced Automation Tools: Includes Custom Parser for self-healing parsing logic with XPath/CSS selectors and Scheduler for automating recurring jobs, with notifications and cloud storage delivery.

Pros

• No IP blocks or CAPTCHAs, ensuring reliable real-time data retrieval.
• AI integrations and OxyCopilot for streamlined workflows and auto-code generation.
• Scheduler for automated, recurring tasks with easy notifications.

Cons

• Requires API knowledge or development setup for full utilization.
• Free trial limited to 2000 credits; ongoing use needs subscription.

Pricing

Free trial with 2000 credits; subscriptions start from $49/month.

Best For

Businesses and developers needing a robust API for real-time Amazon data like products, prices, and bestsellers with AI-assisted code generation, custom parsing, and scheduling, ideal for localized e-commerce analysis, automation, and scalable scraping without infrastructure hassles.

#14. WebScraper.io

WebScraper.io is a Chrome extension-based web scraper for point-and-click data extraction from Amazon pages, allowing users to easily select and scrape elements like product details, prices, and reviews directly from the browser.

Key Features

• Point-and-Click Extraction: Use a simple interface to select data points on Amazon pages, such as titles, prices, ratings, and images, without coding.
• Browser Integration: Runs as a Chrome extension for convenient, in-browser scraping sessions with support for pagination and multiple pages.
• Data Export Options: Exports scraped data to CSV, JSON, or other formats, with cloud options for scheduling and larger tasks.

Pros

• Browser-integrated for easy, immediate use without external software.
• Affordable with a free extension for basic scraping.
• Simple point-and-click setup for quick data collection.
• Exports to CSV and other formats for straightforward analysis.

Cons

• Limited to browser sessions, not ideal for automated or massive-scale scraping.
• May struggle with highly dynamic or anti-scraping protected pages without add-ons.

Pricing

Free Chrome extension.

Best For

Users needing quick, one-off Amazon scraping tasks like extracting product data from pages, with browser-based point-and-click simplicity ideal for small-scale research or testing without complex setups.

#15. Zenrows Amazon Scraper API

Zenrows' Amazon Scraper API is a purpose-built Amazon scraping tool that extracts comprehensive product data with a single API call from URLs or ASINs, delivering structured details like descriptions, prices, images, ratings, reviews, categories, and more. It includes specialized endpoints for product scraping and search results navigation, enabling scalable collection for e-commerce insights.

Key Features

• Product Scraper API: Extracts detailed info from ASINs or URLs, including titles, images, prices, reviews, categories, descriptions, ratings, and seller names in a structured format.
• Search Scraper API: Navigates Amazon search results and category pages to collect product titles, prices, URLs, and related data for broader analysis.
• Scalable Data Fields: Supports extraction of fields like availability, discounts, currency, ASIN, and more, designed for high-volume scraping needs.

Pros

• Simple single API call for instant, structured data extraction.
• Purpose-built for both product details and search results, saving setup time.
• Free 14-day trial to test without cost.

Cons

• API-centric, requiring some development integration for use.
• Subscription needed after trial for ongoing access.

Pricing

Free 14-day trial; subscriptions start at €69/month.

Best For

Developers and e-commerce teams needing an easy API for collecting Amazon product data like prices, images, and reviews from ASINs or searches, with scalable options and a free trial ideal for quick testing in market analysis or inventory tracking.

Conclusion

This guide ranks the top 15 Amazon scrapers for 2025, covering options from free open-source tools to premium APIs for scraping Amazon product data like prices, reviews, and rankings. These Amazon scrapers support tasks such as competitive analysis, price tracking, and market research, with features like no-code interfaces, cloud automation, and anti-bot evasion.

Key factors to consider include budget, coding needs, scalability, and ethical use—always apply proxies and rate limiting for compliance. Emerging trends like AI-powered parsing and mobile optimization make these Amazon scraping tools more efficient for real-time data extraction.

To get started, try the top-ranked Browseract Amazon Bestsellers Scraper to begin scraping Amazon today and gain valuable insights.