The comment calls out a browser extension (the link provided is to amzdl.com) and lists specific practical features the commenter values:
- Supports more than 20 Amazon country sites.
- Exports customer reviews and associated images.
- One-click export that automatically organizes output into separate folders.
How the commenter frames its usefulness
The tone is direct and utility-focused: the commenter says the extension "saves time" and that they personally use it to process reviews. The message is targeted at people doing Amazon store research who want a faster way to collect and analyze customer feedback across multiple marketplaces.
What's explicitly claimed and what is not
The comment makes concrete claims about features (multi-country support, image export, automatic folder organization, AI-based categorization of bad reviews). There are no technical specifications, performance metrics, screenshots, or third-party validations included. The post includes a single link to the extension's website and no citations or independent proof.
How a reader should evaluate this tip
- If you manage or research multiple Amazon marketplaces and need bulk access to reviews and images, consider testing an export tool. The commenter reports time savings and automated organization as primary benefits.
- Confirm the extension's compatibility with the specific Amazon locales and account settings you use and check privacy/security permissions before installing.
Quick checklist for testing the tool
- Try an export on a small product set first to confirm reviews, images, and folder structure meet your needs.
- Compare the extension's categorization of negative reviews with a manual review to assess accuracy.
- Review data export formats (CSV, JSON, zipped folders) and confirm they integrate with your analysis workflow.
This comment is a straightforward user recommendation for a commercial browser extension (linked at amzdl.com) that the commenter says simplifies collecting and sorting Amazon reviews and images across many country sites and offers an AI feature to classify negative feedback. The suggestion is pitched to researchers and sellers who want a quicker way to aggregate and preliminarily analyze customer feedback.