Product Scanner: Check Live Availability Across Every Dark Store in a City

Quick commerce availability is not a city-level boolean. A SKU can be in stock in Koramangala and missing in Whitefield — same platform, same city, different dark stores. Until now, checking that meant writing scripts against `GET /v1/item` for every store coordinate.

We built Product Scanner so you can do the same workflow in the browser: paste a product URL, pick a city, confirm credits, and get a live store-by-store readout with list, map, and CSV export. No glue code required.

BlinkItZeptoSwiggyBigBasketDMartJioMartMinutes

What Product Scanner does

Scanner turns a shareable product link into a city-wide availability grid. Under the hood it still uses your API key and the same live `/v1/item` endpoint developers already know — just orchestrated across every active dark store for that platform and city in our catalog.

Full process: URL to city scan

Step 1 — Paste a product URL

Open /scanner and paste a product page URL. Scanner recognizes the platform from the hostname and pulls the item id from the path or query string.

Step 2 — Choose city (and pincode if needed)

After the URL parses, Scanner loads cities that have active stores for that platform, sorted by store count. For DMart, JioMart, and Minutes you also enter a 6-digit pincode — the same requirement as the item API.

Step 3 — Confirm credits and run the scan

Each dark store costs **1 credit** (one `/v1/item` call). Scanner shows the store count and estimated credit cost before you start. Sign in so the browser can use your API key. Calls run with a concurrency pool of 20 so large cities finish quickly without overwhelming the API.

Step 4 — Read list, map, and CSV

When the scan finishes you get three views of the same data: a sortable table (price, availability, inventory, store id), a map of dark-store pins colored by status, and a CSV download for offline analysis or sharing with ops teams.

Worked example

Suppose you want to know where an Apple 20W USB-C adapter is available on JioMart across Bengaluru. Paste a product URL like:

https://www.jiomart.com/product/apple-20-w-adapter-...-miq9ur-32442890

Scanner detects **JioMart** and item id **`32442890`**. Pick Bengaluru, enter pincode `560001`, review the credit estimate (number of active JioMart stores × 1), then start the scan.

Under the hood, each store call looks like this — the same request you would make from a script or the Playground:

curl "https://api.quickcommerceapi.com/v1/item?item_id=32442890&platform=JioMart&lat=12.9021&lon=77.6639&pincode=560001" \
  -H "X-API-Key: YOUR_API_KEY"

{
  "status": "success",
  "data": {
    "item_id": "32442890",
    "platform": "JioMart",
    "count": 1,
    "items": [
      {
        "item_id": "32442890",
        "name": "Apple 20 W Adapter, Type-C...",
        "brand": "Apple",
        "available": "true",
        "price": "1799",
        "mrp": "2190",
        "store_id": "14674",
        "platform": "JioMart"
      }
    ]
  }
}

Across the city you might see a mix of in-stock stores at ₹1799, out-of-stock stores, and stores where the SKU is not listed. Scanner aggregates those statuses so you can spot coverage gaps on the map in seconds.

Use cases

1. Brand / category managers — distribution reality check

National “listed on BlinkIt” is not the same as sellable in every micro-market. Scan hero SKUs city by city before a campaign or launch to see which dark stores actually carry stock and at what price.

2. Ops and supply chain — find dead zones

Export CSV after a scan and join it with your warehouse or OMS data. Clusters of “not listed” or OOS pins often point to replenishment lag, incorrect assortment mapping, or a store that never received the SKU.

3. Competitive intelligence — price and coverage vs rivals

Run the same SKU on two platforms in the same city (or the same platform across peer cities). Compare in-stock rate and median price without building a custom crawler for each dark store.

4. Agency / retail media — prove local availability

Before buying city-level retail media, show stakeholders a dated scan: how many stores had the SKU live, and the price band shoppers would see. Attach the CSV to the brief.

5. Developers — prototype before you automate

Use Scanner to validate URL parsing and item ids, then automate the same pattern with cron + `/v1/item`. Start from the getting started guide and the availability monitoring playbook when you are ready to productionize.

Credits and practical tips

Try Product Scanner

Product Scanner is live on the portal. Paste a URL, pick a city, and see live availability across dark stores in minutes.

New here? Create a free account — you get 100 credits to start scanning without a card.