Frequently asked questions

4,081 stores across 408 cities and 2,089 neighbourhoods, last refreshed in early April 2026. The number changes each month as platforms open new stores and close underperforming ones.

Blinkit, Zepto, and Swiggy Instamart - the three platforms that account for almost all of India’s 10-minute grocery delivery activity. We monitor BBNow, Tata Neu Quick, and JioMart Express in our internal database but have not yet published them publicly.

Full refresh once a month, on the 1st. Material additions or closures discovered between refreshes are flagged in the next monthly changelog. Every page on the site shows the most recent refresh date in the footer.

Almost. We capture every store that the three platforms expose through their public coverage maps and store-locator endpoints. New stores typically appear within 30 days of opening; closed stores are flagged after 2 consecutive missed scrapes.

Coverage signals from those platforms are noisier (less consistent endpoint structure, smaller and less-stable footprint). We expect to add them once the public dataset would be useful rather than misleading. If you need this data sooner, mention it in the contact form.

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.

Approximately ±50 metres for ~92% of stores, ±200 metres for ~7%, and flagged for manual review for the remaining ~1%. The variance comes from the platforms publishing fulfilment service-centroid coordinates rather than precise warehouse addresses.

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.

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 of the three platforms operates. Definitions are spelt out in the methodology page.

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).

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.

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.

Coordinates are the canonical record because that’s what platforms publish; reverse-geocoded addresses are a derived field. Where a verifiable street address exists we show it. Where it doesn’t, we show the best-matched locality so you still get spatial context.

The free public PDF report has aggregate statistics and the methodology. The full per-store dataset (CSV / JSON, all fields, monthly snapshots) is the licensed product. See /data-license for the three tiers.

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.

Investors and PE / VC firms diligencing quick-commerce founders, last-mile SaaS vendors building outreach lists, real-estate firms tracking warehouse demand, equity-research analysts following Zomato and Swiggy, and newsrooms doing primary-source industry stories.

Starter is ₹35,000 one-time for a single snapshot. Professional is ₹1,20,000 / year for monthly refreshes. Enterprise is custom - depends on cadence, custom fields, and integration scope. See /data-license for the full breakdown.

No. Starter and Professional licenses are internal-use only. Enterprise customers may incorporate signals into their own product with attribution, subject to the order-form scope. We don’t offer a redistribution license - that would compete with the source.

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.

There’s a waitlist while we ramp capacity. See /api to join. Enterprise data-license customers can request API access included in their contract scope.

The methodology page documents every source and every step. Every monthly refresh ships with a public diff (changelog page). We respond to every correction within 48 hours. The combination of public methodology, public diffs, public corrections is harder to fake than a polished sales page.

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.

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

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.

Use the contact form with subject "Data correction", or write directly to support@quickcommercejobs.com. Include the platform, area, and what’s wrong. Confirmed corrections land in the next monthly refresh - sooner if material.