Swiggy Scraper - Extract Menu, Price and Instamart Data

What we extract from a Swiggy restaurant and its menu

The outlet card and the menu are two records, and a Swiggy scraper that flattens them loses the join. We deliver both, keyed on restaurant id.

• Outlet identity - restaurant id, name, brand id shared across the chain, slug, locality, area name, city, state, postal code, coordinates, phone and the multi-outlet flag.
• Positioning - the cuisine list as Swiggy tags it, average rating, the banded count the site prints such as 67K plus, the exact total behind it, and cost for two as both an integer and the printed line.
• Delivery promise - promised window in minutes, last-mile distance in kilometres, serviceability, zone id, and the load signals on the card itself: a stress factor, a rain mode and a long-distance marker.
• Trading hours - open flag, next close time and the day-by-day list, including split shifts such as midnight to 3am and 8am to midnight.
• Promotions - outlet headline deals, flat amount off above a basket threshold, percentage off capped in rupees against a coupon code, and bank-card offers.
• Menu sections - every category in menu order with its item count, so a vanished section reads as a change, not as missing rows.
• Dish record - item id, name, section, description with the allergen line the kitchen prints, image id, listed price, final price where a strike-off applies, in-stock flag, per-dish rating and count, bestseller flag, and the Bolt flag for dishes promised in ten to fifteen minutes. Prices arrive in paise, one hundred times the printed rupee figure.
• Veg classification - the item-level classifier, veg or non-veg, with the veg boolean and filter tags. In India this is the first field a buyer checks, and the dependable copy sits on the dish, not on a listing headline.
• Choices and modifiers - add-on groups with the group name and every choice as its own row: id, price, veg mark, stock and enabled flag, so a combo upgrade is priced, not described.
• Time-gated items - the next-available message printed on breakfast dishes out of window.
• Licence and operator - the FSSAI licence number and the legal entity under the menu, which separates one franchisee from another.

Instamart: the quick commerce catalogue behind the same app

Instamart is the part of Swiggy scraping that surprises people. It is a grocery storefront served from dark stores, and it shares neither the identifiers nor the schema of the restaurant side. A product id is a ten-character alphanumeric code, not a number, and pack sizes of the same brand line are separate products with separate codes, so 500 ml and 1 litre of one milk never collapse into a single row.

The fields are retail fields. Product name, brand, a short marketing line and a long description, pack size as its own column, selling price, the struck-through list price and the percent-off badge, stock, sponsored placement where a card is marked as an ad, and a full nutrition table down to energy, fat, saturated fat, trans fat, carbohydrate, added sugar, protein, calcium and added vitamins. Product pages also print the seller name, which names the dark store fulfilling that address, country of origin, shelf life in days, the returns window, frequently-bought-together sets and recipe cards with a cook time and a calorie figure.

Coverage differs sharply from food. The web storefront serves 27 cities against 685 for restaurants, and its catalogue is organised into 26 category slugs including ones with no western equivalent, such as paan corner. One category in one city can run to roughly 1,500 lines, and every subcategory, brand filter and rating filter narrows it further. Because a dark store serves a radius, the assortment and the price you see are properties of the store nearest the address, which is why Instamart work is scoped as a list of delivery points rather than a list of cities.