How to export product reviews

Where each platform stands

Checked against each platform’s own documentation in September 2026. Every row links to a page with the exact steps, or the exact reason there are none.

Trustpilot’s Export button gives you aggregated ratings by day, week or month. The review text is an API job.

The platforms that do give you a file

Google Play is the cleanest. Reviews are a detailed report: Download reports → Reviews, pick the app and the month, and you get a CSV. Two things to know — the reports live in a private Google Cloud Storage bucket for your developer account, and the data is captured daily but posted within three to seven days, so the current month is always incomplete.

Etsy has a review download, but it produces JSON: Shop Manager → Settings → Options → Download Data → Download Your Reviews. The CSV exports on that same tab are listings, orders and payments. If you were looking for a review CSV on Etsy, that is why you could not find one.

The platforms where it is an API or nothing

App Store Connect lets you view, sort and respond to reviews in the interface, and does not let you export them. Sales and Trends has no review report either. The documented route is the App Store Connect API endpoint for customer reviews, which pages at a maximum of 200 per request.

One detail with real consequences: when a customer edits a review, the new version replaces the old one. Apple keeps no history. If you want to compare this quarter with last, you need to have been snapshotting all along — the API cannot reconstruct it retrospectively.

Trustpilot is the one most likely to catch you out, because it has Export buttons. They export the wrong thing: Analytics exports aggregated rating numbers by day, week or month, and the product catalog export is the catalog. For the review text in bulk, the API is the route. There is no help article for a bulk text export because there is no bulk text export.

The platforms where the reviews are not really theirs

Shopify sunset its own Product Reviews app, so your reviews live in Judge.me, Loox, Okendo, Yotpo or similar — and the export is theirs. Judge.me’s is worth knowing in detail: under 25 reviews downloads immediately, more than that is prepared in the background and emailed to your admin notification addresses, and a single file caps at 100,000 reviews.

WooCommerce stores reviews as WordPress comments. The built-in Product CSV Importer and Exporter does products only, and WooCommerce’s own reviews import/export documentation points at a paid extension. Its Product Reviews Pro documentation does not include an import tool either, and suggests general WordPress comment plugins while stating that WooCommerce does not endorse them. Because reviews are comments, the columns are comment columns — comment_content is the one holding the review.

Amazon: no, and not for a technical reason

Asked exactly this question on the Seller Central forums — how to export customer reviews to Excel or CSV — an Amazon representative answered that it is not an option, and pointed to Voice of the Customer and Seller Feedback downloads instead. A seller in the same thread added the underlying reason: a review is the reviewer’s intellectual property.

Two further things changed recently. The Customer Reviews tool in Seller Central was deprecated at the end of September 2025 and folded into Voice of the Customer. And Brand Analytics exports — including the SP-API brand analytics reports — are search and purchase data with no review text in them.

Voice of the Customer is a genuinely useful substitute for the specific job of finding defects: it is per-ASIN and carries customer comments about what went wrong. It is not a review export and does not pretend to be.

We are not going to tell you how to scrape the public review pages. It is against Amazon’s terms, and a guide that recommends it is recommending you take the risk on its behalf.

What to do when there is no export

Copy and paste, and be deliberate about what you paste. This is not a consolation prize: for the question people usually have — “what are the complaints in my one-star reviews this quarter?” — a filtered thirty is a better dataset than an unfiltered thirty thousand.

Filter on the platform first: one or two stars, last quarter, one product. Then paste that into the Review Analyzer — thirty at a time, free, no account — and you get the topics, severities and the reviews that need a reply, counted rather than summarised. If you do have a file, the same approach at volume is the next guide.