BLINKIT DATA SCRAPING

Blinkit prices,
pincode by pincode.

// THE SHORT ANSWER

Blinkit data scraping extracts hyperlocal data from the Blinkit app — prices, MRP, availability, delivery ETAs and promotions — captured pincode by pincode across cities, up to hourly. iWeb Data Scraping delivers it QA-verified as CSV, JSON or API, so FMCG and quick-commerce teams see the price and stock each neighborhood actually sees. Because Blinkit prices per dark store, this pincode-level view is the only accurate one — a single national price is a fiction.

99%+field accuracy, QA-verified
48hfree sample turnaround
24/7pipeline monitoring
ISO 27001+ 9001 certified

Key facts

  • Data point: Price & MRP
  • Data point: Availability per pincode
  • Data point: Delivery ETA
  • Data point: Delivery fee

Blinkit is India's quick-commerce leader, and its defining behavior is hyperlocal: prices, availability and delivery fees vary by the dark store serving each pincode. For FMCG brands and competitors, this is exactly the data that decides trade promos and availability — and exactly what web scraping can't see, because it lives only inside the app, computed per location.

We capture it store-by-store and pincode-by-pincode, hourly, handling Blinkit's app defenses. It powers price intelligence and stock-out tracking, built on our mobile app extraction. Track it alongside Zepto and Instamart for full quick-commerce coverage.

THE POINT

If it’s on the page, we can put it in your warehouse — clean, matched, and refreshed on your schedule.

DATA POINTS WE EXTRACT

Hyperlocal, hourly.

Price & MRP
Availability per pincode
Delivery ETA
Delivery fee
Discounts & offers
Product attributes
Category & aisle
Images
Pack size / variants
Dark-store coverage
Out-of-stock timing
New product listings
SEE THE DATA FIRST

What you'll actually receive.

Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.

Blinkit feed — pincode-level price, availability, ETA.
product pincode price mrp in_stock eta_min captured_at
Amul Butter 100g 110001 58 62 yes 9 2026-07-08 18:00
Amul Butter 100g 110024 58 62 no 12 2026-07-08 18:00
Maggi 70g (pack of 4) 110001 55 60 yes 9 2026-07-08 18:00
Coca-Cola 750ml 400001 42 45 yes 11 2026-07-08 18:00
↑ Sample structure — illustrative values. Your data reflects your platforms and category. Get this for your data →
WHO USES THIS

Built for the person
who owns the number.

TRADE MARKETING · FMCG

Dark-store price wars

Hourly rival pricing per city feeds trade-promo decisions — the 40-city case.

SUPPLY / MEDIA

Stop ads on empty shelves

Pincode availability pauses spend where you're out — stock-out tracking.

STRATEGY

Watch coverage expand

New dark stores and pincodes as Blinkit grows — quick-commerce footprint intelligence.

FAQ

Before the first call.

Prices and MRP, availability per pincode, delivery ETAs and fees, discounts and offers, product attributes, category, images, pack sizes/variants, dark-store coverage, out-of-stock timing and new listings — all captured at pincode level across the cities you track, up to hourly.

Quick-commerce platforms are app-first and price by serving dark store, so the data is computed per location inside the app — there's often no web page showing it, and any single view misrepresents every other pincode. App-based extraction at pincode level is the only way to capture the real, hyperlocal picture.

Engagements commonly cover every serviceable pincode across multiple cities — one program tracked 40 cities hourly. Coverage scales to your needs, and sampling strategies (one pincode per dark-store zone) are available where full coverage exceeds what the question requires.

We collect only what the app publicly displays to any user at a location — the same screens a shopper sees — with rate-limited collection, PII scrubbed, and ISO-certified, NDA-first methodology. We capture public in-app data, not private or account-gated information.

Get a free sample dataset in 48 hours.