Amazon Rufus API

Amazon Rufus Scraper

Get structured product recommendations and follow-up questions from Amazon's conversational shopping assistant — authentication, SSE parsing, and marketplace routing handled for you.

Try free — 1500 credits Read the docs →

3 credits / request No credit card required to start

api.scrapellm.com

curl "https://api.scrapellm.com/scrapers/amazon_rufus" \
  -H "X-API-Key: your_api_key" \
  -G \
  --data-urlencode "prompt=What brands do marketers recommend?" \
  --data-urlencode "country=US"

// Response
{
  "scraper": "amazon_rufus",
  "status": "done",
  "result": "Marketers commonly recommend...",
  "links": [ { "url": "...", "text": "..." } ],
  "credits_used": 3
}

Features

Everything you need from Amazon Rufus

Built for developers and data teams who need reliable, structured output at any volume.

Authenticated Amazon sessions

Rufus is gated to logged-in Amazon customers. ScrapeLLM handles all authentication — no Amazon account or MFA required on your side.

Curated product recommendations

Rufus's curated list of 3–6 products per query, with ASIN, title, rating, reviews, image URL, and category.

Multi-marketplace

Route requests to amazon.com, amazon.co.uk, amazon.de, amazon.es, and more via the country parameter.

Shopping-intent data

Extract real buyer queries and the products Amazon surfaces for them — invaluable for pricing, merchandising, and brand strategy.

Async support

Submit requests asynchronously and poll for results — ideal for batch pipelines.

Integration

Simple to integrate

One GET request. Structured JSON back. Works in any language.

import requests

response = requests.get(
  "https://api.scrapellm.com/scrapers/amazon_rufus",
  headers={"X-API-Key": "your_api_key"},
  params={
    "prompt": "What brands do marketers recommend?",
    "country": "US",
  }
)

print(response.json())

const params = new URLSearchParams({
  prompt: 'What brands do marketers recommend?',
  country: 'US',
});

const response = await fetch(
  `https://api.scrapellm.com/scrapers/amazon_rufus?${params}`,
  { headers: { 'X-API-Key': 'your_api_key' } }
);
const data = await response.json();
console.log(data);

curl "https://api.scrapellm.com/scrapers/amazon_rufus" \
  -H "X-API-Key: your_api_key" \
  -G \
  --data-urlencode "prompt=What brands do marketers recommend?" \
  --data-urlencode "country=US"

Response schema 200 OK

Field	Type	Description
products	array	Rufus curated product list (asin, title, rating, reviews, image_url, category, url, footer)
related_questions	array	Follow-up shopping questions generated by Rufus
interim_messages	array	Loading-state messages localised to the marketplace
credits_used	integer	Credits consumed by this request
elapsed_ms	float	Request duration in milliseconds

Use cases

Built for real-world workflows

Teams across marketing, SEO, research, and product use ScrapeLLM to get structured Amazon Rufus data at the scale that matters.

Amazon brand monitoring Competitor product research Shopping-intent keyword expansion Pricing intelligence AI shopping pipeline enrichment

Why not the direct Amazon Rufus API?

Direct APIs don't return sources, citations, or the real UI response

Token-based pricing is unpredictable and expensive at scale

No multi-region support — can't request from specific geographies

With ScrapeLLM

Real UI responses with all sources, citations, and structured data

Flat credit pricing — predictable costs at any volume

Multi-region routing — request from any country in one API call