How to Import Amazon Reviews to Shopify (2026 Methods, Risks, and Alternatives)

Importing Amazon reviews into a Shopify store is one of the most-requested capabilities in the Shopify app ecosystem, and one of the most misunderstood. The short answer is: you can do it, several apps support it, and the legal landscape changed in 2024-2025 in ways most merchants are not aware of. This guide walks through the actual methods that work in 2026, the risks you take with each, and the cases where building review volume directly is a better long-term play.

Why Merchants Want to Import Amazon Reviews

There are three real reasons:

1. The same product is sold on Amazon and Shopify. A merchant has built thousands of Amazon reviews and wants to leverage that social proof on their direct-to-consumer Shopify store rather than start from zero.
2. The product is a private-label version of an Amazon-listed product. A dropshipper or aggregator wants to seed their Shopify store with Amazon reviews of the same physical SKU.
3. The merchant is launching a new Shopify SKU and wants Amazon reviews of similar products as a credibility signal.

Each of these has a very different risk profile, and the right approach is different for each.

The Three Methods That Actually Work in 2026

Method 1: Direct Import via a Shopify Review App (Most Common)

Several Shopify review apps support importing Amazon reviews via URL or ASIN. The app fetches review content from Amazon's product page (using a scraper or licensed API), formats it as review records, and inserts it into the app's review database, where it can be displayed on the corresponding Shopify product.

Apps that currently support this:

• Loox: supports Amazon import via CSV or URL paste
• Stamped: Amazon import via ASIN lookup on higher-tier plans
• Judge.me: official Amazon import requires their pro plan
• Ali Reviews: primarily for AliExpress but supports Amazon
• Rivyo: Amazon and AliExpress import on free tier
• Reviews.io: Amazon review import on standard plan

The technical process is similar across apps. You either paste an Amazon product URL, supply an ASIN, or upload a CSV exported from a third-party tool. The app pulls review text, star rating, and reviewer name. Photos are usually pulled if available; verified-purchase status is preserved as metadata in some apps.

Quality tip: Most apps let you filter what gets imported by minimum length (skip 1-line reviews) and minimum star rating (skip 1-2 star reviews if you want, though we recommend against this (see "Risks" below)).

Method 2: Manual CSV Export and Import

For merchants who want full control over what gets imported and the apps they use don't support direct Amazon import, the manual route works:

1. Use a third-party Amazon review scraper (Helium 10, Jungle Scout, or a freelance scraper service) to export reviews as CSV
2. Reformat the CSV to match your Shopify review app's import schema
3. Bulk upload via the review app's import feature

Most major review apps accept a CSV with columns for product handle/SKU, reviewer name, rating, review body, date, and optional fields for media URLs and verified-purchase flags.

This method gives you the most control but is more time-consuming and requires comfort with spreadsheets.

Method 3: API-Based Sync for Large Catalogs

For stores with hundreds or thousands of products and ongoing review accumulation on Amazon, a one-time import is not enough. Some larger merchants build an API-based sync that periodically pulls new Amazon reviews and inserts them into the Shopify review system.

This requires:

• Access to Amazon review data via a licensed API (Helium 10's API, Keepa, or similar)
• Integration code that maps Amazon ASINs to Shopify products
• Scheduled job (daily or weekly) to fetch new reviews

This is overkill for most merchants. It only makes sense if you have a large active Amazon presence and review velocity that justifies the engineering investment.

The Risks You Should Know About

Legal and ToS Risk

Amazon's Terms of Service prohibit automated scraping of their product pages. The 2024 hiQ Labs v. LinkedIn ruling and subsequent CFAA case law made clear that scraping publicly visible data is not federally illegal in most cases, but it can still violate the platform's terms and result in your Amazon seller account being suspended if you operate one.

If you are also an Amazon seller, scraping your own listings (or third-party listings) carries seller-account risk that pure DTC merchants do not face. Use officially licensed APIs in this case.

FTC and Review Authenticity Risk

The FTC's 2024 final rule on fake reviews (16 CFR Part 465) banned the practice of attributing reviews to one product when they were written about a different product. This is highly relevant to Amazon imports.

If you import reviews from Amazon listing A and display them on your Shopify product B, even if both products are physically identical, you are technically attributing reviews to a different product. The risk is high if:

• The product is not literally the same SKU (different brand, different packaging, slight spec differences)
• You do not disclose that reviews originated from Amazon
• The review text references features that are different in your version

Best practice: import only reviews of the exact same product you sell, and add a clear "Originally posted on Amazon" indicator on each imported review. Several review apps support this attribution disclosure natively.

SEO Risk: Duplicate Content

Amazon review text is indexed by Google. If you import dozens of reviews verbatim onto your Shopify product page, Google sees the same review text on both Amazon and your site. This rarely causes a penalty for a few reviews, but stores that import hundreds of reviews per product start to look like duplicate content.

The fix is to vary the displayed reviews: show only some, and ensure your store has a healthy mix of native reviews alongside imported ones. Stores that import 100% of their review corpus from Amazon and never collect their own native reviews trail in organic search compared to stores with native review velocity.

Conversion Risk: Mismatched Shopper Expectations

This is the risk most merchants do not anticipate. Amazon shoppers and DTC shoppers have different expectations and use different language. An Amazon review that says "Prime delivery was fast" or "Came in standard Amazon packaging" reads as out of place on a DTC product page and can subtly erode trust.

When you import, manually scrub or filter reviews that explicitly reference Amazon-specific features (Prime, FBA, Amazon packaging, third-party seller language) so the imported reviews read as if they were native to your store.

When Importing Is the Wrong Move

Importing Amazon reviews is a shortcut to social-proof volume. But for some stores, the shortcut creates problems:

• You sell a meaningfully different version of the product. Different colors, sizes, formulations, or packaging; your review corpus should reflect what you actually sell, not what Amazon has.
• Your brand position is "premium" or "artisanal." Amazon reviews often have a transactional tone that conflicts with premium brand voice. Native reviews from your DTC customers are typically richer.
• You plan to use reviews for AI Overview citations or rich snippets. Google's structured data guidelines effectively require that displayed reviews be your own. Imported reviews are murky territory and risk delisting from rich snippets if Google detects the source.

In these cases, the right move is to invest in native review collection: automated post-purchase email/SMS flows, photo-review incentives, and an aggressive focus on review request timing.

The Better Long-Term Strategy: Earn Reviews Faster, Not Borrow Them

The reason Amazon imports are so popular is that earning reviews from scratch feels slow. But review velocity is a solvable problem with the right collection setup:

• A post-purchase email sent 7-14 days after delivery (timing varies by category) recovers 8-15% of purchases as reviews on average
• Adding a small incentive (discount on next order) can lift response rates to 18-25%
• SMS review requests have 2-3x the response rate of email
• Photo and video review prompts produce richer content that ranks better in AI Overviews and rich snippets

A store doing $50-100k/mo can typically build to several hundred native reviews per month with the right collection setup, without ever importing from Amazon.

How Eevy AI Approaches Review Collection

Eevy AI focuses on the long-term play: helping stores build native review velocity and then optimizing the display of those reviews via genetic algorithm optimization. We support standard import formats (CSV from any review app, plus migration imports from Judge.me, Loox, Yotpo, Stamped, and Reviews.io), but we do not support direct Amazon scraping. The reasoning is that imported Amazon reviews tend to be the lowest-converting and lowest-quality slice of any review corpus, and the engineering effort is better spent on improving the display of authentic native reviews.

If you have an existing Amazon corpus and want to bring it to Shopify, the right move is to import via Loox, Judge.me, or Stamped using their built-in tools, then move to Eevy AI for ongoing display optimization. The combination (competitor's import pipeline plus Eevy AI's optimization layer) is what most merchants who care about both volume and conversion end up running.