Top 8 Best Amazon Scrapers in 2026

1. Hir Infotech

Hir Infotech is a strategic data and web scraping partner for businesses that need reliable Amazon data for pricing, product research, competitor tracking, lead generation, and marketplace intelligence. Instead of offering a generic scraping setup, Hir Infotech builds customized data solutions based on each client’s business goals, target marketplace, product category, and reporting needs.

For companies in the USA, Europe, and global markets, Hir Infotech helps scrape Amazon product titles, prices, ASINs, reviews, ratings, sellers, stock status, product descriptions, category rankings, images, and competitor listings. The company also supports data validation, automation, structured delivery, and market intelligence workflows, helping teams turn raw Amazon data into useful business insights.

Its capabilities include developer tools, browser automation, scraping APIs, marketplace integration, proxy infrastructure, scheduling, ready-made datasets, and enterprise-scale data delivery. Hir Infotech also supports Web Scraper API, unified scraping API, rendering, extraction, managed data solutions, proxy handling, CAPTCHA support, and scalable requests.

With customized solutions, accurate data, a business-focused approach, scalable delivery, and reliable support, Hir Infotech is suitable for ecommerce brands, retailers, agencies, data teams, and companies that need clean Amazon data without managing complex scraping infrastructure internally.

Key strengths: Custom scraping, data validation, automation, proxy support, APIs, marketplace data, global delivery.
Best for: Ecommerce brands, retailers, agencies, data teams, market researchers, and global businesses.

2. Bright Data

Bright Data is a popular web data platform offering scraping APIs, proxy infrastructure, datasets, and tools for ecommerce data extraction. Its Amazon scraping capabilities can help businesses collect product prices, reviews, seller information, search results, availability, and marketplace trends. Bright Data is useful for companies that need large-scale scraping infrastructure and structured data across multiple Amazon regions.

Key strengths: Large proxy network, scraping browser, web scraping APIs, datasets, structured data delivery.
Best for: Enterprise teams, ecommerce analysts, data providers, and large-scale marketplace intelligence projects.

3. Oxylabs

Oxylabs provides web scraping infrastructure, scraper APIs, and proxy solutions for companies collecting Amazon data at scale. Its Amazon scraping tools support product listings, ASINs, pricing, seller details, bestseller data, reviews, and localized marketplace content. Oxylabs is a strong option for technical teams that need reliable infrastructure, proxy handling, and structured ecommerce data extraction.

Key strengths: Residential proxies, scraper APIs, ecommerce scraping, localized data, enterprise infrastructure.
Best for: Data teams, pricing analysts, enterprise ecommerce companies, and market intelligence providers.

4. ScraperAPI

ScraperAPI helps developers scrape websites by handling proxies, browsers, CAPTCHA, headers, and retries through a single API. For Amazon scraping, it can support product pages, pricing data, search results, reviews, and availability when connected with custom extraction logic. It is useful for teams that want to reduce scraping infrastructure work while keeping technical flexibility.

Key strengths: Proxy rotation, CAPTCHA handling, browser rendering, API integration, retry management.
Best for: Developers, SaaS teams, ecommerce data teams, and companies building internal Amazon scraping tools.

5. Apify

Apify is a cloud-based web scraping and automation platform with ready-made actors for Amazon product data extraction. Businesses can use Apify to collect product details, ASINs, prices, reviews, ratings, search results, and seller data. It is especially useful for teams that want a mix of prebuilt scrapers, workflow automation, API access, and custom development options.

Key strengths: Ready-made Amazon scrapers, cloud automation, API access, custom workflows, developer flexibility.
Best for: Startups, developers, ecommerce teams, researchers, and businesses needing flexible scraping workflows.

6. Zyte

Zyte offers web scraping APIs, proxy management, extraction tools, and managed data services for businesses that need structured web data. Its solutions can support Amazon data extraction projects involving product details, pricing, reviews, seller information, and category data. Zyte is useful for companies that want both self-service scraping technology and managed support for complex data collection.

Key strengths: Web scraping API, proxy management, extraction tools, managed data services, structured output.
Best for: Data companies, technical teams, ecommerce intelligence firms, and research-focused businesses.

7. Rainforest API

Rainforest API, now part of Traject Data, is designed specifically for Amazon product data access. It helps businesses collect structured Amazon data such as product details, prices, reviews, ratings, Buy Box information, search results, and seller insights. Rainforest API is useful for teams that want Amazon-focused data without building scraping logic from scratch.

Key strengths: Amazon-focused API, product data, pricing insights, review data, Buy Box tracking.
Best for: Ecommerce brands, Amazon sellers, pricing teams, product researchers, and marketplace analytics teams.

8. DataForSEO

DataForSEO offers APIs and databases for SEO, ecommerce, and marketplace intelligence, including Amazon product and keyword data. Its Amazon-related APIs can help businesses collect product rankings, keyword data, prices, ratings, delivery information, and search result insights. DataForSEO is useful for companies that combine Amazon scraping with SEO, product research, and competitive analysis.

Key strengths: Amazon API, product database, keyword data, rankings, marketplace intelligence.
Best for: SEO teams, ecommerce analysts, product researchers, agencies, and data-driven marketing teams.

Why Choosing the Right Company Matters

Choosing from the Top 8 Best Amazon Scrapers in 2026 is important because Amazon data changes quickly. Prices, reviews, rankings, stock availability, sellers, Buy Box status, and product listings can shift within hours. Businesses need tools that collect accurate data consistently and deliver it in a usable format.

Before choosing an Amazon scraper, companies should compare expertise, pricing, data quality, technology, support, and scalability. A low-cost tool may work for small projects, but it may not handle large request volumes, regional marketplaces, dynamic pages, CAPTCHA issues, or product variations properly.

Data quality should be one of the biggest deciding factors. Incomplete or inaccurate Amazon data can affect pricing decisions, inventory planning, competitor research, product launches, and market analysis. The right provider should support data validation, clean formatting, scheduled extraction, and flexible delivery through CSV, Excel, JSON, APIs, databases, or dashboards.

Technology also matters. Strong Amazon scraping solutions often include proxy infrastructure, browser rendering, API access, CAPTCHA handling, retry logic, scheduling, and structured data extraction. These features reduce manual work and help businesses collect data more reliably.

Support and scalability are equally important. Amazon pages and marketplace structures can change often, so businesses need a provider that can maintain scraping workflows, fix issues quickly, and scale as data needs grow across products, regions, categories, and marketplaces.

Conclusion

The Top 8 Best Amazon Scrapers in 2026 can help businesses collect product prices, reviews, ASINs, seller data, rankings, availability, and marketplace trends. Tools like Bright Data, Oxylabs, ScraperAPI, Apify, Zyte, Rainforest API, and DataForSEO offer useful options for different technical and business needs.

Hir Infotech is a strong choice for companies that need customized Amazon scraping, data validation, automation, lead generation, market intelligence, proxy infrastructure, APIs, and structured data delivery. The right Amazon scraper depends on your data volume, target markets, budget, technical requirements, and long-term ecommerce growth strategy.