Extract Flipkart Data
Catalog, pricing, and offer data from Flipkart — including sale events.
Tell AuraCrawl what you need from Flipkart in plain language and we scope the extraction around it: full category crawls, watchlists of specific SKUs, or price tracking through Big Billion Days-style events where listings change by the hour. Flipkart's offer structures — bank discounts, exchange bonuses, bundled pricing — get flattened into explicit fields, not lost in banner text.
What a response looks like
REQUEST
ask“Tell AuraCrawl what you need from Flipkart in plain language — which entities, which fields, how often. That sentence is the spec.”
{
"product_id": "MOBGYT2HGZK9QHZF",
"title": "SAMSUNG Galaxy M14 5G (Berry Blue, 128 GB)",
"brand": "Samsung",
"selling_price_inr": 13499,
"mrp_inr": 18990,
"rating": 4.3,
"rating_count": 58214,
"review_count": 4902,
"offers": [
"10% off on HDFC Bank credit cards",
"No cost EMI from ₹2,250/month"
],
"seller": {
"name": "RetailNet",
"rating": 4.7
},
"availability_by_pincode": {
"560034": "Delivery by 24 Aug"
}
}What you can extract
- Titles, brands, and specification tables per SKU
- Selling price versus MRP, plus bank and exchange offers
- Ratings, review counts, and review text
- Seller names and seller ratings
- Availability and delivery dates by pincode
- Price movement during sale events
PIPELINE Aura Vision handles Flipkart's per-category templates and device-specific markup; Aura Build flattens layered offers into explicit, comparable fields.
Related targets
Request Flipkart data.
Describe the fields, the volume, and the cadence. We scope the extraction and deliver a sample before you commit.