How to Export AliExpress Reviews to CSV or Excel (Guide)

Why export AliExpress reviews to CSV before you order

If you source products on AliExpress, whether for dropshipping, private label, or bulk import, the on-page star rating rarely tells you enough. A product sitting at 4.6 stars can still hide a cluster of complaints about a specific variant, a supplier who ships inconsistent batches, or buyers in certain countries reporting damage in transit. Scrolling through reviews one by one and trying to hold that pattern in your head does not scale, especially when you are comparing several potential suppliers for the same item.

Exporting AliExpress reviews to CSV or Excel turns scattered feedback into something you can actually work with: a table you can sort, filter, and search. Instead of reading twenty reviews and guessing at a pattern, you can filter by country, group by variant, or search the review text for a recurring word like “broken,” “late,” or “different from photo.” That is the real value of getting AliExpress feedback out of the page and into a spreadsheet.

ExportReviews is a Chrome extension built for exactly this. You browse to the reviews on a product page, run the export, and a CSV, Excel, or JSON file is generated right there in your browser. Nothing about the review content is sent anywhere. It stays on your machine, in your session, the whole time.

What you actually learn from exported AliExpress feedback

An average rating is a single number that compresses a lot of information. Once you have the reviews in a spreadsheet, a few things tend to surface that the star rating alone does not show you:

• Variant-specific problems. A product might have a strong average overall, but one particular size, color, or configuration accounts for a disproportionate share of the negative comments. If you plan to order a specific variant for resale, that distinction matters a lot more than the overall average.
• Geographic shipping patterns. Because AliExpress reviews commonly show the buyer’s country, you can look for whether complaints about delivery condition or delay cluster in certain regions, which is useful if you are sourcing for buyers in a specific market.
• Recurring language in the review text. Searching or filtering the review text column for repeated phrases is far more reliable than trying to remember what you read three scrolls ago.
• Verified purchase weight. Reviews marked as verified purchases carry more evidential weight when you are trying to judge whether a supplier is reliable. Once this is a column in your spreadsheet, you can prioritize those rows.
• Photo-backed feedback. Reviews that include buyer photos are often the most useful for spotting the gap between the product listing photos and what actually arrives. Having that flagged as a field lets you jump straight to those reviews.

None of this replaces your own judgment about a supplier. It just gives you a faster, clearer way to look at what buyers have actually reported before you commit to an order, especially a bulk one.

What fields you get in your export

When you export AliExpress reviews with ExportReviews, each row in your CSV, XLSX, or JSON file represents one review, with the following fields:

• Rating - the star rating the buyer gave
• Review text - the buyer’s written feedback
• Review date - when the review was posted
• Country - the buyer’s country, when shown on the page
• Product variant - the specific option the buyer purchased (size, color, model, and so on)
• Photos - an indicator or reference for reviews that included buyer photos
• Verified purchase - whether AliExpress marked the review as a verified purchase

These fields map to what AliExpress actually surfaces on its review pages. The extension does not invent or infer data that is not present on the page; it reads what is there and structures it into a clean row.

How to export AliExpress reviews to CSV, step by step

1. Install the ExportReviews extension from the Chrome Web Store and pin it to your toolbar so it is easy to reach.
2. Open the AliExpress product page whose reviews you want to export, and scroll to (or open) the reviews section so the page has loaded the feedback you’re interested in.
3. Click the ExportReviews icon. The extension opens a side panel and reads the reviews present on the page you are currently viewing.
4. Let it collect the reviews. As you scroll or as more reviews load, ExportReviews keeps building your dataset in the panel, so you can see a live preview of what has been captured, including rating, text, date, country, variant, photos, and verified-purchase status.
5. Choose your export format. Pick CSV if you plan to open the file in a spreadsheet tool or import it into another system, XLSX if you want to work directly in Excel or Google Sheets with formatting preserved, or JSON if you are feeding the data into a script or another tool.
6. Export. The file is generated locally and downloads straight to your computer. Nothing about the content ever leaves your browser.

Your first 25 rows are free, with no account needed to try it. If you need more than that, credits cover the rest at a simple rate: 1 credit exports 1 row. Credits you buy never expire, and they work across every exporter in the ExportReviews lineup, not just the AliExpress one, so if you also pull reviews from other platforms, you are not managing separate balances.

What to do with the data once it’s exported

Once you have your CSV or Excel file, a few practical next steps tend to be the most useful:

• Sort by rating, then skim the lowest scores first. This is usually the fastest way to find the specific complaints that matter before you commit to a supplier.
• Filter or pivot by product variant if the listing has multiple options, so you can see whether the variant you actually want to order has a different feedback pattern than the listing as a whole.
• Group by country if you’re sourcing for a specific market, to see whether shipping or condition issues concentrate somewhere relevant to your buyers.
• Cross-reference with verified purchases by filtering that column, so your read of the product leans on the reviews with the strongest evidentiary weight.
• Keep a running spreadsheet per supplier if you’re comparing multiple listings for the same type of product, so you’re judging suppliers side by side rather than from memory.

A short, honest note on responsible use

Exporting reviews you can already see on a public AliExpress page for your own research, sourcing decisions, or record-keeping is a reasonable use of the data in front of you. What you should avoid is republishing buyer review text as your own content, misrepresenting AliExpress feedback as reviews of a different product or store, or using exported data in ways that violate AliExpress’s own terms of service. When in doubt, treat exported reviews the way you’d treat any research material: useful for your own decision-making, not something to pass off as original content elsewhere.

Closing thoughts

Sourcing decisions get better when you can actually see the pattern in buyer feedback instead of relying on a single star average. Exporting AliExpress reviews to CSV or Excel with ExportReviews gives you that pattern in a few clicks, generated locally in your browser, with your first 25 rows free and no account required to start. If you’re vetting a supplier, comparing variants, or just want the review data somewhere more useful than a scrolling page, install the extension and run your first export on a listing you’re currently considering.