How do I get Amazon Reviews data from Scavio?

Send a search request with the appropriate platform (amazon) and Scavio returns amazon reviews data in the response. See the example above for the exact field path.

Is Amazon Reviews data available in real time?

Yes. Scavio fetches amazon reviews data in real time on each request. There is no caching layer and no stale data.

How much does Amazon Reviews data cost?

Amazon Reviews data is returned as part of the standard search response. Each request costs 1 credit. Free tier includes 500 credits/month.

Amazon Reviews API: Fetch Amazon Reviews Data via Scavio

What is Amazon Reviews?

Scavio's Amazon reviews endpoint returns paginated reviews for an ASIN, each with the reviewer name, star rating, title, body, date, verified purchase flag, helpful vote count, and variant purchased (color, size). We expose rating distribution so you can see the percentage split from 1 to 5 stars at a glance, and we return the list of top positive and top critical reviews that Amazon surfaces on the page. Pagination tokens let you walk through thousands of reviews per product without tripping rate limits. Reviews are returned in the requested locale, so you can collect German reviews from amazon.de and English reviews from amazon.com in separate calls.

Example Response

JSON

{
  "asin": "B0E2X4K9PQ",
  "rating": 4.8,
  "review_count": 1042,
  "rating_distribution": {
    "5": 0.82,
    "4": 0.11,
    "3": 0.04,
    "2": 0.02,
    "1": 0.01
  },
  "reviews": [
    {
      "reviewer": "Alex P.",
      "rating": 5,
      "title": "Best ANC headphones I have owned",
      "body": "The new V2 chip is noticeably better than the XM5. Flights are silent.",
      "verified": true,
      "helpful_votes": 142,
      "variant": "Black",
      "date": "2026-03-08"
    },
    {
      "reviewer": "Morgan L.",
      "rating": 2,
      "title": "Great sound, bad call quality",
      "body": "Music is great, but people say I sound muffled on calls in noisy rooms.",
      "verified": true,
      "helpful_votes": 58,
      "variant": "Silver",
      "date": "2026-02-19"
    }
  ],
  "next_cursor": "ref=cm_cr_arp_d_paging_btm_next_2"
}

Use Cases

Voice-of-customer analysis for product teams
Feature request mining from negative reviews
Comparative review summarization between SKUs
Detecting review bombing and authenticity issues
Training LLM shopping assistants with real customer language

Why Amazon Reviews Matters

Reviews are the single highest-signal source of product feedback on the internet, but they are buried under Amazon's rendering logic and aggressive bot protection. Scavio returns them as clean, paginated JSON with verified-purchase flags and variant mapping, so product teams can run sentiment, theme, and sku-level drift analysis without building scraping infrastructure. For ecommerce brands, this is the fastest way to find out what customers actually say about your product in their own words.

LangChain Example

Drop amazon reviews data into your LangChain agent in a few lines:

Python

from langchain_scavio import ScavioAmazonReviewsTool
from langchain_anthropic import ChatAnthropic

tool = ScavioAmazonReviewsTool(api_key="your_scavio_api_key")
llm = ChatAnthropic(model="claude-opus-4-6")

reviews = tool.invoke({"asin": "B0E2X4K9PQ", "pages": 3})
negatives = [r for r in reviews["reviews"] if r["rating"] <= 3]

bodies = "\n".join(r["body"] for r in negatives)
themes = llm.invoke(f"Cluster these complaints into themes:\n\n{bodies}")
print(themes.content)

Amazon Reviews