Independent map, not Blinkit, Zepto, Instamart or any other app we map. Order or delivery problem? Use Help in that app.

Frequently asked questions

Everything about the dataset, methodology, commercial offerings, and the trust signals behind this project.

The data

How many dark stores are tracked?▼

The free map shows 7,388 stores across 526 cities and 3,869 neighbourhoods, from our latest monthly read. Every store's exact location, area-wise counts and data files are for clients.

Which platforms do you cover?▼

14 quick-commerce apps, 11,844 stores. Groceries (11,180): Blinkit, Zepto, Swiggy Instamart and BigBasket on the free map, each store shown by its area, and Flipkart Minutes, Amazon Now and JioMart on it too, locked: you see how many stores each has in a city, and their store data is in a pass (Flipkart Minutes, Amazon Now) or a client plan (JioMart). Food (429): Zepto Cafe, Bistro by Blinkit and Swish. Fashion (89): Myntra M-Now and Slikk. Beauty (102): Nykaa Now. Pets (44): Supertails. And DMart Ready (45 stores), which delivers in slots, not minutes. Want the data for one of them? Contact us.

How often is the data updated?▼

Every month. We read every store again each month, and the free map, the research portal and our data files move to the new month once it is checked. Every store's exact location, area-wise counts and data files are for clients.

Are these all the dark stores in India?▼

No list can promise that. We record the stores we can observe in each platform’s publicly observable store-locator information at the time of each snapshot. A store enters our files in the month we first observe it, and a store we can no longer find is marked no longer detected.

Do you cover JioMart or Amazon Now?▼

Yes, both, locked on the free map with their counts by city. Amazon Now delivers from its own dark stores and, mostly in smaller cities, from partner stores (More supermarkets), which we label as partner stores. JioMart delivers from Reliance’s own grocery stores rather than dark stores, and we say so. Store-level data for Amazon Now is in its pass and our data files; for JioMart, it is a client plan.

Methodology

How do you identify a dark store?▼

Three signals together: (1) the platform itself classifies the location as a dark store / micro-fulfilment centre in its own data; (2) the location pattern looks warehouse-style rather than retail-frontage; (3) the store doesn’t accept walk-in customers. We don’t treat regular grocery stores or pickup points as dark stores even when platforms list them.

How precise are the store locations?▼

On the free map every store is shown by the area it is in, on purpose. Its exact pin is on its own page: your first one is free (the Google Maps pin), your first three paid unlocks are ₹29 each and later ones ₹49 (pin and street address). A one-time pass shows every store in a city at street level, with street addresses; exact coordinates in bulk are a client plan. Every store we sell carries a precision label: exact (a measured pin), approximate (placed by its service area) or area level; we only sell an exact location where we measured one. The methodology page explains how each is assigned.

What’s your geocoding pipeline?▼

Coordinates run through Ola Maps first (best Indian-address coverage), then Mappls / MapmyIndia as a fallback for sub-locality data, then Nominatim / OpenStreetMap as a last resort. Results within 500 metres of each other reuse the same area assignment.

How are city tiers defined?▼

Tier 1 metros: Delhi NCR, Mumbai, Bangalore, Hyderabad, Chennai, Kolkata, Pune. Tier 1 non-metros: Ahmedabad, Jaipur, Lucknow, Chandigarh, Kochi, Indore, and similar. Tier 2: every other city where any tracked platform operates. Definitions are spelt out in the methodology page.

How do you handle duplicates?▼

Per-platform deduplication is by store ID. Cross-platform "same building" cases are kept as separate entries because they’re commercially distinct (one Blinkit + one Zepto in the same warehouse complex is two operations, two teams, two roles).

Using the site

How do I find dark stores near me?▼

Use the interactive map on the homepage, or jump straight to your city: /cities/bangalore, /cities/delhi, /cities/jaipur, etc. The city page lists every neighbourhood with at least one store and breaks down which platforms operate where.

Can I get directions to a store?▼

No - and you shouldn’t want to. Dark stores aren’t open to walk-in customers. If you visit one expecting to buy something, you’ll be turned away. Use the platform’s own app to order delivery to your address.

Why don’t you show a street address for every store?▼

The free pages name the landmark, locality and PIN code. The street address comes with the exact location (first one free), and only where we can place the store precisely: an address computed from an imprecise position would be plausible and wrong.

Can I download the data without buying a license?▼

The free PDF report has aggregate statistics and the method. Store-level data comes as data files (an Excel workbook plus CSVs), priced by scope. See /data-licensing for what is in them.

Is the site available in regional languages?▼

Selected city, area, platform, and report pages have transliterated (Roman-letter) versions in Hindi, Kannada, Tamil, and Marathi. Look for the language switcher in the page header. Full-script Devanagari and other regional scripts are planned.

Commercial use

Who buys the data files?▼

Businesses choosing where to open, advertise, sell, hire, build or deliver; funds following Eternal, Swiggy, Zepto, Reliance and Amazon; staffing agencies; consultancies and newsrooms. Academics get the file free in return for a citation.

How much do the data files cost?▼

They are priced by scope: all of India, a few cities, a state, one file or monthly updates. Tell us what you need at /data-licensing and we will quote it by email.

Can I redistribute the dataset?▼

Not as a dataset. Files are licensed for internal use; any wider use, such as signals inside your own product, is agreed in writing when we quote, with attribution. We do not license the raw data for republication.

Do journalists get free access?▼

Yes. Working journalists at established publications can request free custom extracts for stories. Mention "press" on the contact form and tell us the angle. We respond within 24 hours during weekdays and faster against deadlines.

Is there an API?▼

See /api for what is available programmatically. Store-level files with the ready views are priced by scope at /data-licensing.

Trust and accountability

Why should I trust this data?▼

The methodology page documents every source and every step, the changelog records what changed between snapshots, and we respond to every correction within 48 hours. Public method, public changes and public corrections are harder to fake than a polished sales page.

Are you affiliated with Blinkit, Zepto, Swiggy Instamart, BigBasket, Flipkart Minutes, Amazon Now or JioMart?▼

No. We’re an independent research publication. We have no commercial relationship, no advisor relationship, and no employees in common with any of the platforms or their parents. The disclaimer page covers this in legal language.

Who funds this project?▼

Apexlayer Technologies (the operating company) self-funds the project. Revenue comes from paid reports and data files. We have no investors, no advertisers, and no sponsorships. Visitors are not the product.

Who built this?▼

Sachin Gurjar (founder) leads it; the team is small. Apexlayer Technologies is DPIIT-recognised and MSME-registered. Full company details are on the about page.

How do I report a wrong location or a store that is gone?▼

Use the contact form with subject "Data correction", or write directly to support@quickcommercemap.com. Include the platform, area, and what’s wrong. Confirmed corrections go into the next dataset, sooner if material.

Didn’t find your answer?

Email a real human. Most messages get a reply within one business day.

Get in touch

QuickCommerceJobs.com

Looking for dark store jobs?

Visit QuickCommerceJobs.com