E-COMMERCE
Extract Tata CLiQ Data
Brand-catalogue pricing, ratings, and reviews from Tata CLiQ.
Ask for what you need from Tata CLiQ in plain language and we read its search backend directly — product name, brand, selling price versus MRP, rating, and review counts for the full result set, following its category redirects so a search never dead-ends.
What a response looks like
REQUEST
ask“Tell AuraCrawl what you need from Tata CLiQ in plain language — which entities, which fields, how often. That sentence is the spec.”
{
"product_id": "MP000000031919104",
"name": "Expedition Analog Watch For Men",
"brand": "Timex",
"currency": "INR",
"price": 6995,
"mrp": 9995,
"discount_pct": 30,
"rating": 4.3,
"rating_count": 218,
"reviews": 47,
"in_stock": true
}What you can extract
- Product names, brands, and category paths
- Selling price versus MRP and discount percentage
- Average rating, rating counts, and review counts
- In-stock status
- Product imagery and canonical URLs
PIPELINE Tata CLiQ’s search backend returns clean JSON once the keyword redirect is followed — an Open-tier target Aura handles end to end.
Request Tata CLiQ data.
Describe the fields, the volume, and the cadence. We scope the extraction and deliver a sample before you commit.