Extract Amazon India Data
Product, price, and review data from Amazon.in — at catalog scale.
Tell AuraCrawl what you need from Amazon.in in plain language — "every price and rating in the headphones category," "daily stock status on these 4,000 ASINs," "all new reviews for this brand since last week." Amazon.in serves different markup by category, device, and session, and its rate limiting is tuned to kill naive crawlers. We handle both; you get clean records.
What a response looks like
REQUEST
ask“Tell AuraCrawl what you need from Amazon India in plain language — which entities, which fields, how often. That sentence is the spec.”
{
"asin": "B0FQFNQ5LX",
"title": "Apple iPhone 17 Pro Max 256 GB — Cosmic Orange",
"brand": "Apple",
"brand_store": "Apple Store",
"currency": "INR",
"price": 143990,
"mrp": 149900,
"discount_pct": 4,
"rating": 4.6,
"rating_count": 545,
"bought_past_month": "400+",
"in_stock": true,
"delivery": "Free delivery",
"storage": "256 GB",
"colour": "Cosmic Orange",
"variants": [
{
"colour": "Deep Blue",
"price": 143990
},
{
"colour": "Silver",
"price": 147900
}
],
"offers": {
"no_cost_emi": true,
"bank_discount_max": 4000,
"cashback_max": 4319
},
"warranty": "10 days service centre replacement"
}What you can extract
- Titles, brands, ASINs, and variant attributes
- Selling price, MRP, discount, and coupon details
- Ratings, rating counts, and full review text
- Availability and delivery promises by pincode
- Best-seller ranks within category trees
- Seller identity and seller-level metrics
PIPELINE Aura Strike absorbs Amazon.in's rate limiting and session screening; Aura Vision keeps pace with markup that differs across every category template.
Related targets
Request Amazon India data.
Describe the fields, the volume, and the cadence. We scope the extraction and deliver a sample before you commit.