India’s data layer.
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Rewalto is India's data layer: dated prices, stock, delivery times and dark-store locations from quick-commerce apps and marketplaces, by pin code. As of 3 Nov 2026 the catalogue lists 57 datasets, 29 live. Read it in the dashboard, through the API, or with an AI agent over MCP (preview).

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Bengaluru has 1,342 dark stores across 7 apps.

Blinkit407
Zepto204
JioMart194
Swiggy Instamart186
Flipkart Minutes173
BigBasket167
DMart11

Counted 3 Nov 2026 from each app’s own store list. See every Bengaluru store

{
  "question": "Dark stores in Bengaluru",
  "as_of": "2026-11-03",
  "rows": [
    {
      "city": "Bengaluru",
      "app": "Blinkit",
      "stores": 407
    },
    {
      "city": "Bengaluru",
      "app": "Zepto",
      "stores": 204
    },
    {
      "city": "Bengaluru",
      "app": "JioMart",
      "stores": 194
    },
    {
      "city": "Bengaluru",
      "app": "Swiggy Instamart",
      "stores": 186
    },
    {
      "city": "Bengaluru",
      "app": "Flipkart Minutes",
      "stores": 173
    },
    {
      "city": "Bengaluru",
      "app": "BigBasket",
      "stores": 167
    },
    {
      "city": "Bengaluru",
      "app": "DMart",
      "stores": 11
    }
  ],
  "source": "Rewalto free public data, api.rewalto.com"
}

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ONE DATA LAYER. EVERY WAY YOU WORK.SCROLL TO EXPLORE

THE DATA LAYER TODAY

3,59,47,549

prices captured so far, counted from our own readings.

8,02,063
Products tracked: 18
Apps and stores: 13,773
Dark stores in 686 cities: 5,475
Pin codes read

Cities, pin codes and dark stores on record

COUNTED TO 3 Nov 2026

THE DATA / COMMERCE FIRST

Real-world data.
Ready for your next question.

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WHAT WE HOLD / COLLECTED BY REWALTO

The data behind
India’s fastest shelves.

Every figure below is counted from our own checks of the apps and stores, with the day it was measured. Search and preview it free; pay only for the records you take.

3.59 croreprices captured

8.0 lakhproducts tracked

18shopping apps and stores

5,475pin codes reached

Figures as of 3 Nov 2026, 13:39 IST

Dark stores · as of 3 Nov 2026

Quick-commerce dark stores, and the pin codes each one serves

13,773 stores across 686 cities on 7 apps. For each one: where it is, when it opened, and the pin codes its app sends it to, read from the apps at every pin code each week.

13,773stores

686cities

5,475pin codes

Bengaluru1,342
Delhi982
Hyderabad784
Mumbai776
Chennai539

Explore dark stores Live

Quick-commerce prices and stock

Selling price, MRP, discount and in-stock state per product, by pin code, as the app showed it.

6 sources · 1320 pins held · fresh read at any pin on Blinkit Live

Delivery times by pin code

The delivery time each app promises at a pin code.

4,472 pin-days of delivery times: Blinkit daily at 35 pin codes since 20 Sep 2026, and six apps at up to 1,247 pin codes from partner reads and sweeps (16 Sep to 16 Oct 2026)Live

Marketplace prices and listings

Listings and price history with MRP and discount, from eight online stores.

8 sources · 216 pins held and national Live

Price per kg, litre or piece

Price per kg, litre or piece for every product reading, so pack sizes compare fairly.

13 retailers · checked on 3,584,437 readings (8 to 30 Sep 2026)

29 datasets live in the catalogue, each with its coverage, freshness and rate.Blinkit prices and stock by pin code Zepto prices and stock by pin code See all data

SAME DATA / DIFFERENT DELIVERIES

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Less searching.
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A dated page of findings with the sources beside them, ready to share.

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Your workflow.
Our data layer.

The API for your app, the CLI for your terminal, MCP (preview) for your agent. The source and date come with every record.

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A LITTLE MORE CONTEXT

Good questions.
Clear answers.

What data does Rewalto focus on?

Commerce comes first: prices, availability and listings across Indian sources. Browse the data page for current coverage, or start with a question in Finder.

Can both people and AI agents use Rewalto?

Yes. Rewalto is designed for developers, businesses and researchers at equal priority, with the same data layer serving human workflows and agent integrations.

How do I know where data came from?

Source and collection-date context belong with each record. Review the coverage and freshness for the dataset you choose; an observation describes what was collected at that time.

What if the data I need isn’t available?

Finder starts with existing data, then looks for a suitable source. Review the requested fields and cost before a run starts.

YOUR ANSWER / WHAT IT COSTS

Bengaluru has 1,342 dark stores across 7 apps.

Example question: Bengaluru
Read on: 3 Nov 2026
This answer: Free, no account
A fresh run: From 5 credits per dark-store record
The whole answer: 1,342 dark-store records × 5 credits each = 6,710 credits
Your 1,000 free credits: Cover 200 of the 1,342 dark-store records. Reading all of them needs a paid plan, or 5,710 more credits.

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Credits pay only for data delivered. A run that delivers nothing costs nothing.

India’s data layer.For agents. For people.

Real-world data.Ready for your next question.

The data behindIndia’s fastest shelves.

Quick-commerce dark stores, and the pin codes each one serves

Quick-commerce prices and stock

Delivery times by pin code

Marketplace prices and listings

Price per kg, litre or piece

Read it. Build with it.Check it again.

Less searching.More understanding.

Your workflow.Our data layer.

Save what you follow.Let it check for you.

Good questions.Clear answers.

Bengaluru has 1,342 dark stores across 7 apps.

India’s data layer.
For agents. For people.

Real-world data.
Ready for your next question.

The data behind
India’s fastest shelves.

Read it. Build with it.
Check it again.

Less searching.
More understanding.

Your workflow.
Our data layer.

Save what you follow.
Let it check for you.

Good questions.
Clear answers.