District Stores Scraper: India Brand Outlets, Malls & Offers

Scrape branded retail stores across India from District by Zomato, the app's Stores tab. It covers about 23,500 outlets of fashion, footwear, eyewear, jewellery, beauty, salon, electronics and home brands. Each row carries:

• The store's phone number, full address, PIN code and GPS coordinates
• Weekly opening hours
• The mall and floor
• Its categories and product types, with a rating where District shows one
• Every live offer: in-store sales, pay-via-District discounts, bank and card offers with their promo codes, minimum bill and full terms, and time-slot discounts

No login, no cookies and no API key are needed.

What you can scrape

Mode	You give	You get
Every store in a city	cities (Mumbai, Delhi NCR, Pune…)	every District store in each city: the complete directory plus the live listing (Chandigarh tricity: 335 stores in 21 s)
Every outlet of a brand	brands (Lenskart, Levi's, Tanishq…), optionally cities	the brand's whole District footprint, for example 591 Levi's outlets or 2,100+ Lenskart stores
Stores near a place	a city, an area (Koramangala, Bengaluru) or coordinates	the nearest outlet of each brand (up to 600 brands), nearest first. Set a radius to get every outlet inside it
Every store in a mall	mall names, district.in/hub/… links, or places	the mall's tenant list with floors (Ambience Mall Gurgaon: 146 stores). Give a place instead and you get every mall and market with District stores there
Search	search terms + places	what District's own store search returns
Specific stores	district.in/stores/… links	full details for each one
All of India	nothing (or brands / categories as filters)	the whole store directory

Every mode can be narrowed by category (apparel, footwear, accessories, jewellery, beauty, salon & wellness, home & furniture, electronics, eyewear, bags & luggage, watches, sports, kids, gifting) and by brand.

What each row contains

• Identity: store id, name, brand, brand id, District link, category, sub-categories and product types (for example "Sneakers", "Loafers", "Backpacks")
• Location: full street address, locality, city, state, PIN code, latitude/longitude, Google Maps link, mall name and id, floor
• Contact and hours: the store's phone number(s), and opening hours per day plus a compact summary like Mon-Sun 10:00-21:00
• Offers:
  • A headline offer.
  • Every live offer: section, title, description, promo code, minimum bill and full terms.
  • Promo codes with their rupee savings.
  • The pay-via-District discount (percent, cap, validity).
  • Time-slot discounts.
  • The District payment mode.
  • Accepted payment methods.
• Rating: rating and rating count, where District shows one
• Media: logo, cover image, photo gallery and brand video. Optional: the product catalogue (named collections with product names and images)
• Shop-in-shop brands for department stores (for example the 20+ brands inside a Shoppers Stop)
• distanceKm from your point (nearby and search modes), source (the query that found the store) and scrapedAt

Input examples

Every store in Pune:

{ "mode": "city", "locations": ["Pune"], "maxItems": 0 }

Every Lenskart and Titan Eye+ outlet in Delhi NCR and Mumbai:

{ "mode": "brand", "brands": ["Lenskart", "Titan Eye+"], "locations": ["Delhi NCR", "Mumbai"], "maxItems": 0 }

Every Levi's outlet in India:

{ "mode": "brand", "brands": ["Levi's"], "maxItems": 0 }

Jewellery and eyewear stores in Bengaluru:

{ "mode": "city", "locations": ["Bengaluru"], "categories": ["jewellery", "eyewear"], "maxItems": 0 }

Every footwear store within 5 km of Koramangala:

{ "mode": "nearby", "locations": ["Koramangala, Bengaluru"], "categories": ["footwear"], "maxDistanceKm": 5 }

The tenant list of two malls, with floors:

{ "mode": "mall", "malls": ["Ambience Mall Gurgaon", "https://www.district.in/hub/phoenix-marketcity-kurla-central-mumbai"], "maxItems": 0 }

Every mall and market with District stores in Hyderabad (19 on 2026-09-24), and their tenants:

{ "mode": "mall", "locations": ["Hyderabad"], "maxItems": 0 }

Specific stores:

{ "mode": "storeUrls", "storeUrls": ["https://www.district.in/stores/nike-pacific-mall-tagore-garden-new-delhi-SDP-42186768"] }

Input reference

Field	Meaning
mode	city (default), brand, nearby, mall, search, storeUrls, allIndia
locations	cities, areas or "lat, lng": required for city / nearby / search. It limits brand mode to these cities and makes mall mode cover every mall with District stores in each place
brands	brand names: required for brand mode, a filter elsewhere
malls	mall names, district.in/hub/… links, or mall ids
keywords	search terms (search mode)
storeUrls	district.in/stores/… links
categories	only stores in these categories
maxItems	total stores (default 100, 0 = no limit)
maxItemsPerQuery	cap per city / brand / place / mall / term (0 = no limit)
coverWholeCity	city mode: also read the live listing at every area of the city (default on)
maxDistanceKm	nearby mode: radius in km. It keeps only stores inside the radius and finds every outlet there
includeDetails	open each store's page for phone, address, hours, offers and photos (default on; can be turned off in nearby / mall / search for a faster listing)
includeCatalogue	add the brand's product catalogue (default off)
maxConcurrency	parallel requests (default 20)
proxyConfiguration	Apify Proxy (the default automatic group is fine)

Output sample

{
  "storeId": "1026788",
  "name": "BERKOWITS",
  "brand": "BERKOWITS",
  "url": "https://www.district.in/stores/berkowits-satra-plaza-vashi-navi-mumbai-SDP-81667032",
  "category": "Wellness",
  "subCategories": ["Clinic"],
  "productTypes": ["Hair Care", "Hair Treatments", "Basic Facial", "Chemical Peel"],
  "address": "Shop No. 38, Ground Floor, Satra Plaza, Vashi, Navi Mumbai, Maharashtra 400703",
  "locality": "Satra Plaza, Vashi",
  "city": "Navi Mumbai",
  "state": "Maharashtra",
  "postalCode": "400703",
  "latitude": 19.082865,
  "longitude": 73.006264,
  "googleMapsUrl": "https://www.google.com/maps?q=19.082865,73.006264",
  "floor": "Ground floor",
  "mallId": "206812",
  "mallName": "Satra Plaza",
  "phone": "+919266738100",
  "openingHoursText": "Mon-Sun 10:00-21:00",
  "rating": 4.5,
  "ratingCount": 282,
  "headlineOffer": "40% OFF up to ₹2,000",
  "offers": [
    {
      "section": "District pay offers",
      "type": "instant",
      "title": "Instant offer",
      "description": "40% OFF up to ₹2,000",
      "promoCode": null,
      "minBillInr": null,
      "terms": ["Offer cannot be clubbed with in-store discounts", "…"]
    },
    {
      "section": "Add on offers",
      "title": "Get 20% off up to ₹5000",
      "description": "Valid on Kotak Bank Solitaire Credit Cards",
      "promoCode": "KOTAKSOLITAIRE",
      "terms": ["Valid twice per user in a calendar month on Platform", "…"]
    }
  ],
  "promoCodes": [{ "code": "DISTRICT700", "text": "Flat ₹700 OFF", "savingsInr": 700 }],
  "payDiscount": { "percent": 40, "amountInr": null, "maxDiscountInr": 2000, "validFrom": "2026-09-24 00:00:00", "validTo": "2026-09-24 23:59:00" },
  "districtPayMode": "Pay bill",
  "paymentMethods": ["Cash", "Credit Card", "Debit Card", "UPI", "District Pay"],
  "photos": ["https://b.zmtcdn.com/data/edition_assets/17823664028413.png"],
  "hasDetails": true,
  "source": { "type": "city", "input": "Mumbai" },
  "scrapedAt": "2026-09-24T09:54:13.461Z"
}

The dataset has three views: Overview, Contacts & location and Offers. Export to CSV, Excel or JSON, or read it through the Apify API.

Use cases

• Retail footprint tracking: every outlet of a brand or a competitor, with coordinates and mall. Re-run monthly to see openings and closures.
• Mall tenant mix: who is in which mall, on which floor. Useful for retail real estate, leasing teams and mall operators.
• Card and bank offer intelligence: which banks fund which offers, at which brands, with what caps and minimum bills.
• Lead lists for B2B sales: POS, payments, signage, staffing and logistics vendors selling to branded outlets get a clean list with each store's phone number, address and brand.
• Location analytics: geocoded stores by category for catchment, white-space and site-selection studies.
• Deal and coupon sites: live promo codes and time-slot discounts per store.

FAQ

How complete is it? City, brand and all-India modes read District's complete public store directory (about 23,500 stores), then add stores from District's live listing that are newer than the directory. Nearby mode returns what District's own app shows around a point: the nearest outlet of each brand. With a radius it returns every outlet inside it.

Why are rating, floor, mall or promo codes empty on some rows? District publishes those on its store listings, not on every store page. You get them for every store District shows in its live listing (most stores in malls). Store promo codes are campaigns that District switches on and off during the day, so the list is empty while none is live. Bank and card codes inside offers come from each store's own page. Phone, address, coordinates, hours and store-page offers come with every store.

Why is the state different from the one District shows? District's own state field often holds the brand's head-office state. The scraper corrects it from the PIN code and the address.

Which cities are covered? Every Indian city where District lists stores. The biggest are Bengaluru, Mumbai, Delhi NCR, Hyderabad, Pune, Kolkata and Chennai. Use the city name ("Gurgaon", "Navi Mumbai") or a metro ("Delhi NCR"). "Mumbai" includes stores District labels Navi Mumbai. List "Thane" separately.

What about closed stores? Stores whose page no longer exists are skipped and not charged.

Is it legal to scrape District? This actor collects only publicly available information that District shows to every visitor without logging in: store names, brands, business addresses, published store phone lines, opening hours, ratings and offers. It does not collect information about individual people. Scraping public data is generally lawful, but how you use the results is up to you: follow the laws that apply to you (for example India's DPDP Act, GDPR, PIPEDA or CCPA) and District's terms, and check with a lawyer if you are unsure. Apify's guide is a good starting point: Is web scraping legal?

Does it access any private data? No. It needs no login, account, cookie or API key. It reads only what District's public website serves to any visitor: store pages, the public store listing, mall pages and the public store sitemap. It never touches user accounts, orders, payments, bookings or anyone's personal profile, and ratings come as an average and a count only, with no reviewer names.

Are phone numbers personal data? No. They are the published business phone lines of branded stores, shown on each store's public page.

How fast is it? 50 stores with full details take about 10 seconds. 1,000 Mumbai stores took 62 seconds, and every store in Pune and Chandigarh (1,389) took 79 seconds. Listing-only runs (nearby / mall / search with details off) are faster still: 216 stores within 4 km of Koramangala took 9 seconds.

Does it need a proxy? It uses Apify Proxy's automatic group by default and retries blocked requests on fresh IPs. If a run is ever blocked, it finishes with what it has instead of failing.

What happens when District is slow, blocked or changes something? The run still ends successfully with whatever was collected and a status message that says why it stopped (Partial — stopped at …). Blocked or timed-out requests are retried on fresh IPs with backoff; a store whose page is broken is skipped; if District's live listing changes its version check, the actor re-reads the version from District's own web app and carries on; if the listing cannot be healed, the city and brand modes continue from the store directory. You are only charged for rows that were actually saved — a run that ends with 0 items costs nothing.

Can I use maxResults or limit instead of maxItems? Yes. maxItems, maxResults, limit and maxStores all mean the same thing, and locations also accepts cities or a newline-separated string.