ZEPTO DATA SCRAPING

Zepto's 10-minute
shelf, captured.

// THE SHORT ANSWER

Zepto data scraping extracts hyperlocal data from the Zepto app — prices, MRP, availability, delivery ETAs and offers — pincode by pincode across cities, up to hourly, delivered QA-verified as CSV, JSON or API. iWeb Data Scraping captures the price and stock Zepto shows each neighborhood, because Zepto prices per dark store and a single national view misrepresents the real, local market.

Get free sample in 48h See the data
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

Zepto's speed-first model runs on dense dark-store networks that price and stock independently by area. For FMCG brands, tracking Zepto means tracking every pincode — the price a customer in Bandra sees isn't the price in Andheri, and neither shows on any web page. This is app-only, hyperlocal data.

We capture it across cities and pincodes, hourly, handling Zepto's app layer. It feeds price intelligence and stock-out tracking via our app extraction. Pair with Blinkit and Instamart for the full quick-commerce picture.

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

Every pincode, every hour.

Price & MRP
Availability per pincode
Delivery ETA
Delivery fee
Offers & combos
Product attributes
Category
Images
Pack size / variants
Dark-store coverage
Out-of-stock timing
New 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.

Zepto feed — pincode-level price, availability, ETA.
product pincode price mrp in_stock eta_min captured_at
Amul Gold Milk 500ml 400051 34 36 yes 8 2026-07-08 18:00
Amul Gold Milk 500ml 400001 34 36 yes 10 2026-07-08 18:00
Lays Classic 52g 560001 20 20 no 14 2026-07-08 18:00
Tata Salt 1kg 560034 28 30 yes 9 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.

FMCG BRAND

Track Zepto price by city

Hyperlocal competitor pricing feeds dynamic trade-promo and pricing decisions.

SUPPLY / MEDIA

Availability alerts

Pincode-level stock-out alerts protect ad spend — stock-out tracking.

COMPETITIVE INTEL

Zepto vs Blinkit vs Instamart

Price-gap tables across all three apps, matched SKU-to-SKU per pincode.

RELATED:Blinkit Scraping →Instamart Scraping →Price Intelligence →
FAQ

Before the first call.

Prices and MRP, availability per pincode, delivery ETAs and fees, offers and combos, product attributes, category, images, pack sizes/variants, dark-store coverage, out-of-stock timing and new listings — captured at pincode level across your target cities, 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.

Yes — cross-app comparison is a core use case. We match the same SKU across Zepto, Blinkit and Instamart per pincode, so price-gap tables and availability comparisons build themselves. This is the standard setup for FMCG teams competing across all of quick commerce.

Hourly as standard for pricing and availability, because quick-commerce prices and stock move through the day. Higher frequency is available during campaign windows or demand peaks where sub-hourly capture matters.

Get a free sample dataset in 48 hours.