REWALTO / DATA
Rewalto's commerce data holds dated prices, MRP, discounts, stock state, delivery times and search rank from India's quick-commerce apps and marketplaces, mostly by pin code. As of 31 Oct 2026, prices and listings are held at 751 pin codes across 12 apps and stores. Pick an app or a measure below.
Prices, availability and listings across Indian marketplaces and quick-commerce sources. Compare the same product across locations and time.
Guides: Is there an API for India's quick-commerce apps? · India data API: fields, coverage, access and costs · Data coverage: sources and pin codes
PUBLISHED CATALOGUE
Review availability, measured coverage and published rates. A catalogue listing describes the offer; it does not guarantee that every field or location has data.
39 datasets24 live2 in preview13 coming soonChecked 31 Oct 2026, 1:43 pm IST
Looking for a product by name? Search quick-commerce productsSearch marketplace products
Prices, stock and assortment by pin code and dark store, from India’s quick-commerce apps.
Selling price, MRP, discount and in-stock state per product, by pin code, as the app showed it.
Behind: BigBasket. See each source.
The delivery time each app promises at a pin code.
Where a product appears in an app’s search, and which slots are sponsored.
Where each app’s dark stores are, and which pin codes each one serves.
What each dark store carries, and what it adds and drops.
Planned: not built yet. It cannot be run or bought until it is.
Listings, prices, discounts and offers on India’s online marketplaces and stores.
Listings and price history with MRP and discount, from eight online stores.
Where a product ranks in search and in its category.
Who sells a product, and who holds the buy box.
Planned: not built yet. It cannot be run or bought until it is.
Coupons, deals and bank offers shown on a product.
Planned: not built yet. It cannot be run or bought until it is.
The delivery date a store promises at a pin code.
Planned: not built yet. It cannot be run or bought until it is.
Product ratings over time, review counts and review text.
A product’s rating and review count, as they change.
Rating changes per product, retailer and pin are built from pages Rewalto already reads; not switched on yet.
What reviewers wrote, with its date and rating.
Planned: not built yet. It cannot be run or bought until it is.
Workflows that turn kept commerce data into signals you can act on.
Price per kg, litre or piece for every product reading, so pack sizes compare fairly.
Built, and checked reading by reading against the previous system (3,584,437 readings for 8 to 30 Sep 2026, no mismatch). The daily run is not switched on yet.
New products the day they first appear on a shelf.
Built and tested. Not yet compared with the previous system, and its precision is not measured yet. The daily run is not switched on yet.
In and out of stock over time, by pin code and dark store.
How fast products sell, as a lower bound from stock counters.
The badges a product carries on a shelf each day: bestseller, assured, only few left, deals.
A brand’s share of the first search results for a query.
How much of the shelf is bought placement, and by whom.
The same product’s price across retailers and pin codes.
The Google ads competitors run in India: new creatives by format, first and last shown.
How much of the shelf at a pin code a brand takes, day by day.
How often a brand is out of stock in a city, day by day.
How deep each brand and category discounts, per retailer and day, through the festive season.
The offers brands email out: sale dates, discount codes and the page they link to.
Built and tested (plan 25). Its tables are on the production database since 17 Oct 2026 and the hourly email import was switched on on 18 Oct 2026, but no promo email has come in yet (0 on 22 Oct 2026), so it cannot be read or bought yet. 22 Oct 2026: a daily job now signs our promo inbox up to as many as 25 brand newsletters a day (the 9 watched D2C stores first, all with a sign-up form) and imports what they send; the first emails are expected within a day of the inbox going live. Its rate is published (shown with the entry), and reads charge it with no quote once it is Live.
Products shown or bought together.
Planned: not built yet. It cannot be run or bought until it is.
Demand signals for a product or category, over time.
Planned: not built yet. It cannot be run or bought until it is.
Delivery times and promises across apps, as a signal over time.
Planned: not built yet. It cannot be run or bought until it is.
Which retailers and dark stores stock a product at a pin code.
For a product and a pin code: which retailers and dark stores have it, and at what price.
Planned: not built yet. It cannot be run or bought until it is.
One product across retailers, canonical brands and who owns them.
The same product matched across retailers, with a match score.
Canonical brands with the names retailers use for them, logos and websites.
Which company owns each brand.
Preview: built and read daily, but only 24 brands have an owner a person named (22 Oct 2026), plus the few whose name or website matches one of 97 company records. It turns Live when 1,000 or more brands have an owner with a stated basis; the 35,793 SalesOS company records arriving with migration 0134 are matched on the next daily refresh.
Brands’ own online stores: platform, catalogue, prices and changes.
Which platform runs a brand’s online store.
A brand store’s products, variants and prices.
Behind: Cultsport. See each source.
What a brand store added, dropped or repriced.
Outlets, menus, prices, offers and delivery terms by pin code.
Restaurant outlets with their menus and prices.
Planned: not built yet. It cannot be run or bought until it is.
Offers, delivery fees and minimum orders by pin code.
Planned: not built yet. It cannot be run or bought until it is.
Ratings and review text per outlet.
Planned: not built yet. It cannot be run or bought until it is.
Which brands cook where, and how far chains reach.
Planned: not built yet. It cannot be run or bought until it is.
Missing a data type? Ask the Finder
A QUESTION WORTH ASKING
Marketplace product pages, quick-commerce listings and public storefronts. Review the published entry to confirm which sources and fields are available today.
Price and stock depend on the location and collection time. Missing fields remain unknown.
Compare assortment and pack sizes across sources.
Track observations over time without losing location context.
Give your workflow structured commerce records.
WHAT TO LOOK FOR
Check each dataset for its current fields and availability. These are the questions to bring to your research.
Brand, title, pack size and source product ID
Listed price, currency and the time observed
Source-specific stock status and location context
Product attributes and original source links
SAMPLE & FIELD GUIDE
CHOOSE YOUR SCOPE
Choose listings or dated prices, then narrow the products you need. Continue opens your dashboard with these filters.
DARK STORES
Blinkit, Zepto, Instamart and four more apps: each dark store, its city and the pin codes it serves.
Explore dark storesDATASET PAGES
Coverage, fields, method and access for each dataset, with figures from the catalogue.
See all coverageBRAND SIGNALS
YouTube mentions, ratings over time, banner ads, D2C sales, promo emails and Google ads, in one place.
Explore brand signalsNEXT STEP
Sign in to search products, prices and listings in your dashboard. Searching is free; you approve every data read at its published rate first.