How to Scrape Amazon Reviews in 2026

To scrape Amazon reviews, run the Amazon Reviews Scraper on Apify. You paste a product URL or ASIN, set how many reviews you want, and click Start. A few minutes later you download every review as a spreadsheet. No code, no proxies, no Amazon account. This guide covers the setup, the output, the cost, and what to do with the data.

What You Get From Each Review

• Review text: The full body, not a preview
• Rating: 1 to 5 stars
• Title: The review headline
• Date: When it was posted
• Verified purchase flag: Filter out unverified reviews
• Helpful votes: How many people marked it useful
• Images: URLs of photos the reviewer attached
• Variant: Which size or color the reviewer bought

Pick an Amazon Reviews Scraper

Two actors on Apify do this job well:

Both work. I default to the Junglee one because it has more users and the same developer maintains the main Amazon Product Scraper. The Axesso one has clear per-result pricing: 1,000 reviews cost about $0.75.

Step 1: Open the Actor

Sign up free at apify.com. You get $5 in credit every month, no card needed.

Open the Amazon Reviews Scraper and click "Try actor".

Step 2: Add Product URLs

Paste one or more Amazon product URLs, one per line:

ASINs work too. You can queue dozens of products in one run.

Step 3: Set Your Filters

The useful settings:

• Max reviews per product: Start with 100 to test. Go higher once the output looks right.
• Star filter: Only 1-star and 2-star reviews is a common setup. That is where the complaints live.
• Sort: Most recent first for trend tracking, most helpful first for research.
• Country: Match the marketplace the product sells on.

Step 4: Run and Export

Click Start. A run on a few hundred reviews takes a couple of minutes. Export as CSV for spreadsheets or JSON for code.

One review in the output looks like this:

{
  "asin": "B09V3KXJPB",
  "reviewTitle": "Best headphones I have owned",
  "reviewRating": 5,
  "reviewText": "Noise canceling is a big step up from the XM4...",
  "reviewDate": "2026-07-14",
  "verifiedPurchase": true,
  "helpfulVotes": 132,
  "variant": "Black"
}

What People Do With Review Data

• Product research: Read 1-star reviews of competing products before you launch. The complaints are your feature list.
• Sentiment analysis: Feed the CSV to a script or an LLM and ask for the top recurring complaints and praises.
• Listing copy: Reviewers describe products in the words buyers actually search for. Mine those phrases.
• Quality monitoring: Schedule a weekly scrape of your own products sorted by most recent. A spike in 1-star reviews is an early warning.

Common Questions

Next Steps

1. Create a free Apify account.
2. Scrape 100 reviews from one product and open the CSV.
3. Add competitor products and a star filter once the format works for you.

Tracking prices too? See how to scrape Amazon prices.