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Blinkit grocery dataset — pincode-level, hourly, structured
Pricing, MRP, stock and promo data on Blinkit across every pincode you care about — structured cleanly for FMCG brands, category teams and pricing analysts.
All Blinkit pincodes
Dark store mapped
Hourly refresh
All categoriesEvery Blinkit field your team needs.
Pincode-level granularity across every SKU and category you scope.
Pricing & MRP
Selling price, MRP, discount %, member-only pricing per pincode.
Stock & availability
In stock, low stock, OOS, restock detection — per pincode and SKU combination.
Promos & deals
Flash deals, app-only prices, bundle/combo offers, banner promos captured with timestamps.
Category & rank
Position on Blinkit category browse, "Top picks" / "Bestseller" tags per category per pincode.
Listing content
Title, description, images, pack size, SKU attributes, manufacturer/brand fields.
Dark store coverage
Which pincodes service from which dark store, coverage changes when zones shift.
Brand catalogue
Full brand-level SKU catalogue on Blinkit — useful for self-audit and competitor tracking.
Search rank
SERP position on Blinkit category and brand keyword searches.
New-launch detection
New SKUs added to Blinkit catalogue, with first-seen timestamp.
What FMCG brands & retailers do with Blinkit grocery data.
Pincode-level pricing audit
How does your SKU price vary across pincodes — intentional or accidental fragmentation.
Stockout monitoring
Real-time pincode-level OOS detection routed to supply ops.
Competitor pricing
Daily pricing on competitor SKUs across Blinkit pincodes, matched to your brand.
Promo cycle tracking
When does Blinkit run promos in your category? Build a discount calendar from history.
Distributor leakage
Distributor-led promos quietly fragmenting your pincode pricing — surfaced.
New-launch tracking
Track competitor product launches the moment they hit Blinkit.
Category share intelligence
How much shelf does your brand hold in priority categories — per pincode.
Demand signal
OOS frequency + restock cycles = leading demand indicator for FMCG planning.
Trade-marketing audit
Are local promos and price drops aligned with your trade-marketing plan? Verify.
Whatever format your team consumes.
No forced dashboard, no lock-in. You own the data.
CSV / Excel
Scheduled file drops to email, SFTP, S3 or Azure.
JSON / API
REST API with auth tokens, paginated by SKU or ItemID.
Database / warehouse
Direct push to Snowflake, BigQuery, Redshift or your data lake.
Hosted dashboard
Optional dashboard if you want a no-tech-needed view.
From scope to first dataset in 24 hours.
Send scope
SKU list, pincodes, refresh frequency, fields needed. Or describe the brief.
Free sample
Within 24 hours, real sample with pincode-level depth for validation.
Production pipeline
QA'd pipeline, delivery format configured, first full run shipped.
Run & iterate
Hourly refreshes with monitoring & named delivery lead on your account.
Blinkit data scraping FAQs
Product listings, pincode-level pricing, MRP, stock availability, dark store coverage, discounts and promo offers, category rankings, and brand-level catalogue data across Blinkit's grocery, FMCG, fresh and non-grocery categories.
This page focuses on Blinkit as a retailer/dataset — the data we ship for brands that want a Blinkit-specific feed. The Quick Commerce Intelligence page is the broader pillar covering Blinkit + Zepto + Instamart together.
Yes — every pincode where Blinkit serves can be scoped. Most clients prioritise their top-30 cities, but full national pincode coverage is supported.
Free sample dataset within 24 hours of scoping. Full production pipeline typically live within 5–7 business days.
CSV, JSON, Excel, API endpoint, S3/Azure bucket drop, or direct push to your data warehouse. Delivery is in whatever format your team consumes.