AmazonAmazonIf you have ever tried to make sense of a few hundred Amazon reviews by scrolling and taking notes, you already know why people search for a way to export Amazon reviews to CSV. Reading reviews one at a time in a browser tab is fine for a quick gut check, but it falls apart the moment you need to compare products, track recurring complaints, or hand the data to a spreadsheet for real analysis. This guide walks through why exporting reviews is useful, exactly what you get, how to do it with ExportReviews, and how to use the result responsibly.
Reviews are one of the richest, most honest sources of product feedback available anywhere, but only if you can actually work with them. Reading through a page at a time makes patterns hard to spot. A spreadsheet makes them obvious.
If you are deciding which of three similar products to buy, or which of your competitors’ listings is winning on trust, reading reviews in bulk in a spreadsheet is far faster than tab-switching between product pages. You can sort by rating, scan review titles in one pass, and get a feel for a product’s reputation in minutes instead of an afternoon.
For sellers and product teams, reviews are unpaid, unfiltered user research. Exported into a spreadsheet, you can group reviews by rating, search review text for recurring words, and start noticing the same complaint or request showing up across many different reviewers. That kind of pattern is nearly invisible when you are reading reviews individually on the page, but it jumps out once the text is in rows and columns you can filter and sort.
Not all reviews carry the same weight. A verified purchase review comes from someone Amazon has confirmed actually bought the item through Amazon, which is a meaningful signal when you are trying to separate genuine feedback from reviews that may not reflect a real purchase. Once your reviews are in a spreadsheet, filtering to verified purchases only is a single click, letting you focus your analysis on the feedback you trust most.
When you export a product’s reviews with ExportReviews, each row captures the structured details visible on the review, not just the raw comment. For Amazon specifically, the exported fields are:
Having the product variant as its own column matters more than it sounds. Amazon often pools reviews across all variants of a listing (different colors, sizes, or bundle options) onto a single product page, so without that field you cannot tell whether a complaint about durability was about the version you are considering or a different one entirely.
The process is intentionally simple because the extraction work happens locally in your browser, using the page you already have open and your own logged-in session. Nothing is scraped from a server you do not control, and no review content is ever sent anywhere.
The file is generated entirely on your machine. Nothing about the review content is uploaded, logged, or stored on any server, which also means there is nothing sitting in a third-party database that could later leak or be resold.
Exporting is the easy part. The value comes from what you do next.
Start by sorting on rating and on helpful votes. The reviews with the most helpful votes at the low end of the rating scale are often the most informative single source of what is actually wrong with a product, because other shoppers have already validated that the concern is common enough to matter.
Add a filter on the verified purchase column before drawing any conclusions about overall sentiment. A pattern that holds up across verified purchases only is a much stronger signal than one that includes reviews Amazon has not confirmed as purchases.
Because review date is its own column, you can group reviews by month or quarter to see whether complaints about a specific issue started appearing after a certain point, which is often a sign of a manufacturing change, a packaging change, or a shipping problem that began at a known moment.
If the product has multiple variants, group by the product variant column before you generalize about “the product.” A pattern that looks bad in aggregate sometimes turns out to be concentrated in one specific color or size, which changes what you should actually do about it.
Product reviews on Amazon are public: anyone browsing the site can read them, and exporting the ones visible to you on a page you are legitimately viewing is not fundamentally different from reading and copying them by hand, just faster and more organized. That said, a few practical guidelines are worth keeping in mind.
Export reviews from pages you can genuinely view as a shopper, and treat the export as a research and analysis tool rather than a way to republish other people’s writing wholesale. Respect Amazon’s terms of service for how you use the site itself, since ExportReviews does not change what is or is not allowed under those terms; it simply gives you a faster way to organize what is already visible to you. And if your exported data includes reviewer names or other information that could identify a specific individual, keep in mind that GDPR and similar personal-data rules can apply to how you store, use, and share that information, particularly if you plan to use it for anything beyond your own internal analysis.
Exporting Amazon reviews to CSV or Excel turns a slow, manual reading exercise into something you can actually analyze: sorting by rating, filtering by verified purchase, tracking trends by date, and comparing variants side by side. With ExportReviews, that export happens locally in your browser, using your own session, with nothing about the review content ever leaving your device. The first 25 rows are free with no account needed, and if you need more, purchased credits never expire and work across every ExportReviews exporter, not just this one. Install the extension, open a product’s reviews on Amazon, and see what the data actually tells you.
No. Amazon does not offer a public export button or an official API for pulling a product's customer reviews into a spreadsheet. Sellers get limited feedback through Seller Central for their own listings, but there is no general-purpose export for reviews on any product page.
With ExportReviews, extraction happens locally in your browser using the page you already have open and your own session. The review content never travels to any server, so there is no third party storing or handling that data on your behalf.
No. ExportReviews works from the review page you can already see as a shopper, whether you are checking a product you might buy or one you sell. You do not need Seller Central access or any special permissions.
The first 25 exported rows are free and do not require creating an account. Beyond that, you can purchase credits, and 1 credit exports 1 row. Credits never expire and work across every ExportReviews exporter, not just Amazon.
If Amazon changes its layout in a way that prevents a clean extraction, ExportReviews shows an honest message telling you the platform changed, rather than generating an empty or inaccurate CSV. Reliability matters more than pretending an export succeeded.
Ready to export Amazon reviews?
Export the customer reviews of any Amazon product to CSV, Excel or JSON. Rating, title, full text, verified purchase, helpful votes and variant, in your browser.
See the Amazon exporter