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Amazon Review Grabber
AI-powered e-commerce review data intelligence miner

Overcome Amazon's strict anti-crawler mechanisms without writing Python scripts or configuring complex proxy pools. This is an Amazon review collection tool that supports the MCP protocol. Combined with DICloak's exclusive fingerprint obfuscation technology, you can simulate real buyer behavior by simply sending a product link to the AI, securely and completely capture review content, ratings, images, and user feedback, and directly gain insight into market sentiment through natural language.

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Crawl Amazon product reviews

How to use Amazon Review Scraper (MCP RPA): From conversations to insights

Turn tedious e-commerce data collection into a simple conversation. This tool connects your AI editor (e.g., Cursor/Claude) with the DICloak fingerprint browser via the MCP protocol. AI understands your collection targets and automatically directs browsers to bypass Amazon's bot detection and turn unstructured web comments into structured business data.

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Step 1: Connect and configure

Make AI connections Configure DICloak MCP Server with one click in Claude Desktop or Cursor. Ensure that the DICloak client is up and ready for access to Amazon's clean fingerprint environment.

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Step 2: Prompt

Natural language control Directly enter the command that contains the product link. For example: "Please call my environment named 'US_Prime_01' to visit the product page of this Amazon Bluetooth headset [insert URL]. Help me collect its 'Most Recent' (latest) reviews, aiming for the top 100. Please extract the reviewer's nickname, star rating, review title, body content, and whether it contains images, and filter out non-English comments. "

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Step 3: Automate collection and delivery

Intelligent execution and export The AI Agent will take over the browser and turn and click pages naturally like a real person shopping, circumventing the "Become a Dog" page (Amazon error page). Once the acquisition is complete, the data is delivered directly in a dialog in JSON or Markdown form for your direct analysis.

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Who Should Use Amazon Review Scraper (MCP RPA)?

1. Amazon Sellers

Solve pain points: competitive product analysis. Quickly grab the negative reviews (1-2 stars) of competing product listings and analyze the defects of competitor products (e.g., "short battery life") to optimize the differentiated selling points of your own products.

2. Product Managers

Solve pain points: requirements validation. During the new product development stage, reviews of the top 100 products in the category are collected in batches, and AI is used to summarize users' real pain points and high-frequency keywords to assist in product definition.

3. Cross-border e-commerce operations (Dropshippers)

Solve the pain point: material mining. Dig for real buyer show images and positive copy from the comments section as UGC material for independent sites or social media ads to increase conversion rates.

4. Market analyst

Solve the pain point: reverse crawl blocking. Amazon's anti-crawler is extremely strict. Utilizing MCP combined with DICloak's fingerprint technology, it solves the problem of traditional crawlers frequently encountering verification codes and IP bans, ensuring the continuity of data acquisition.

Why is Amazon Review Scraper (MCP RPA) the best choice for your needs?

"Talking to people" is code

As long as you can talk, you can be a crawler. No need to learn XPath selectors or deal with complex AJAX loads. You just tell the AI "I want to comment" and the MCP protocol automatically handles the parsing and extraction of the web page's structure.

The ultimate in anthropomorphic security

Designed to combat Amazon's advanced risk controls. The tool runs in the DICloak fingerprint environment, with real hardware fingerprints and Canvas noise, and with randomized browsing behavior, it greatly reduces the probability of "Robot Check" verification codes.

Data privacy guarantees

All acquisition tasks run on your local device, and the collected business intelligence is delivered directly to your AI editor without going through any third-party SaaS cloud, ensuring that product selection ideas are not leaked.

Seamless AI ecosystem integration

Perfect support for Claude Desktop and Cursor. After collecting comments, you can let AI perform "sentiment analysis" or "summary of advantages and disadvantages" immediately after collecting comments, realizing the automatic closed loop of the whole process of "collection + analysis".

Frequently asked questions about Amazon Review Scraper (MCP RPA).

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What are the advantages of this tool over various browser plugins?

Browser plug-ins usually have a single function and are easy to link accounts. MCP RPA combines DICloak's fingerprint isolation technology to be more secure and more efficient by supporting direct data processing (e.g., automatic translation, summarization) through AI.

What should I do if I encounter Amazon's verification code during the collection process?

Thanks to fingerprint obfuscation, the chances of triggering a captcha are low. If you do encounter it, you can manually complete the verification in the DICloak window and then notify the AI to continue with the task without interruption.

Do you support collecting reviews for Variations?

Yes. You can explicitly request in the prompt "Please collect only comments for specific color/model variants" or "Collect comments for all variants", and the AI will act based on the page filter.

What AI clients are supported?

Perfectly adapted to advanced editors like Claude Desktop and Cursor, which support the MCP protocol, seamlessly integrate browser automation capabilities into your AI-assisted workflows.

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