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What is Amazon Scraper ?

DICloak Amazon Scraper is a tool that automatically extracts public data from Amazon such as product titles, prices, ratings, reviews, ASINs, seller information, and availability status. It’s useful for price tracking, product research, competitor monitoring, and e-commerce analytics. The scraper handles large volumes of data efficiently, exporting it in structured formats like CSV or JSON. However, scraping Amazon may violate its Terms of Service, so using methods like IP rotation, session control, and fingerprints handling is often necessary to avoid detection. DICloak allows users to configure dynamic proxies for IP rotation.

What Makes Amazon Scraper Special?

DICloak Amazon Scraper stands out due to the following features:

Bypass Anti‑Scraping Measures

DICloak’s use of proxy rotation, browser fingerprint spoofing, and CAPTCHA handling helps bypass Amazon’s strict fingerprints systems, ensuring consistent and undetected scraping even during high-traffic periods.

Scalability

DICloak supports large-scale data extraction across product listings, categories, and seller pages making it suitable for price monitoring, catalog tracking, and competitor intelligence at scale.

Cloud Integration

DICloak can be deployed in cloud environments like AWS, Google Cloud, or Azure, allowing users to automate scraping tasks, manage jobs remotely, and store output securely in cloud-based storage.

Real‑Time Data Collection

The tool enables near real-time scraping of product prices, availability, reviews, and ranking helpful for dynamic pricing analysis, stock level tracking, or monitoring flash sales.

Comprehensive Data Extraction

DICloak captures detailed product data including titles, ASINs, prices, ratings, reviews, seller info, and shipping details providing actionable insights for e-commerce professionals and analysts.

Conclusion

These features make DICloak Amazon Scraper a powerful solution for retailers, analysts, and developers who require accurate, scalable access to Amazon data securely and efficiently.

Why Choose Dicloak Amazon Scrapers?

Enhanced Anonymity

DICloak uses advanced fingerprint spoofing and session management to keep scraping activity undetected, helping avoid Amazon’s automated security triggers and access restrictions.

Avoid Detection and Blocks

With rotating proxies, headless browser support, and multi-session control, DICloak enables safe scraping from Amazon even on high-traffic product or category pages without getting blocked.

Efficient Data Collection

DICloak handles high-speed extraction of product listings, prices, reviews, and seller information, making it ideal for bulk monitoring and real-time eCommerce data tracking.

Customization

With flexible settings, DICloak allows you to tailor scraping tasks to specific product keywords, ASINs, categories, or regions while managing output formats and frequency to match your business needs.

Security

DICloak ensures secure scraping with encrypted data transmission and profiles isolation, making it a dependable solution for teams collecting Amazon data without compromising integrity or privacy.

Other Amazon Scrapers That Meet Your Needs

Amazon Product Scraper

Extract product data by URL or category—including titles, descriptions, ASINs, prices, availability, ratings, and images. Popular tools like Apify’s product scraper support bulk collection and output formats like JSON, CSV, Excel.

Amazon Reviews Scraper

Collect detailed review content, star ratings, reviewer IDs, dates, images, and helpful vote counts from Amazon product pages. Apify Actors and Thunderbit offer structured review extraction with proxy support.

Amazon ASINs & Search Result Scraper

Pull ASINs, product links, prices, ratings, and review counts from search results or category pages. Tools like Apify’s Amazon-crawler and various blueprints support this, with options to output results to sheets or databases

Need More Control?

Advanced Amazon scrapers offer features like rotating residential proxies, geo-targeting, CAPTCHA handling, scheduler support, and headless browser integrations—enabling reliable, large-scale scraping workflows.

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