Swiggy Instamart Scraper

Turn Swiggy Instamart, India's 10-minute grocery app, into structured product data for any delivery location. Search by keyword across areas, pincodes or coordinates and get one clean row per pack size with price, MRP, discount, unit price, stock, rating, images, search rank and sponsored flag, tagged with the location and dark store it was priced for.

Built for price monitoring, assortment tracking and quick-commerce market research across Indian cities.

How it works

✨ Why use this scraper?

• Real, location-specific prices. Instamart prices and stock differ by dark store, so every row carries the location, coordinates and store ID it was scraped for. Run several areas or pincodes to compare.
• One row per pack size. "500 g" and "500 g x 2" are separate rows, each with its own price, MRP and stock, so nothing is averaged away.
• Discounts as the site shows them. discountPercent is rounded down exactly like Instamart's "25% OFF" label, and discount is the rupee amount off MRP.
• Search rank and sponsored flag. See where a product appears for a keyword and whether that slot is a paid placement.
• Areas, pincodes or coordinates. Koramangala, Bengaluru, 560034 and 12.9352,77.6245 all work; text is resolved through Swiggy's own maps.
• No login, no browser, no captcha. Talks to Instamart's JSON API directly; billed per product row.

🎯 Use cases

You are a…	Use it to…
Brand / FMCG team	Track your SKUs' prices, discounts and availability across cities on Instamart
Competitor analyst	Compare a keyword's results and price points between stores and cities
Retail media / marketing team	See which products hold the top ranks for a keyword and which slots are sponsored
Quick-commerce researcher	Measure assortment, discount depth and stock-outs over time
Pricing / revenue team	Feed live competitor prices into dynamic-pricing models

📥 Supported inputs

Input	Example	What it does
Location (required)	Koramangala, Bengaluru, 560034 or 12.9352,77.6245	Resolves the delivery store; everything is priced for it
Search keyword (required)	milk, atta, chips	Searches the keyword at each location, paginated to the end of the results

Not supported yet: category URLs and product URLs (keyword search covers both: search the product or category name). Placing orders, cart or checkout and account-only data are out of scope; the actor reads only the public catalogue.

⚙️ How it works

1. Resolve each location: free text and pincodes are geocoded through Swiggy's maps, then matched to the dark store that serves them. A location Instamart does not deliver to is reported by name and skipped.
2. Search every keyword at every location through Instamart's JSON API, page after page, until the results end or your limit is reached.
3. Parse each product into one row per pack size, with prices in ₹.
4. Tag every row with its location, store, keyword, rank and sponsored flag, de-duplicate per store, and emit.

⚙️ Input parameters

Field	Type	Default	Description
locations	array	—	Areas, pincodes or lat,lng pairs. Required (Instamart prices are per store).
searchQueries	array	—	One product per entry (milk, bread, atta). A comma-separated line (bread, milk) is split and each product searched on its own.
maxItems	integer	1000	Hard cap on product rows for the whole run.
maxItemsPerQuery	integer	1000	Cap per keyword × location.
maxConcurrency	integer	3	Locations worked on in parallel. Each location runs one request at a time, because Instamart limits searches per store.
maxRequestRetries	integer	12	Retries when Instamart asks to slow down or a connection fails; the first wait is 15 seconds, later ones grow to 60.
proxy	object	built in	India residential routing is included. Set proxyUrls only to use your own proxies.

📊 Output overview

Each dataset record is one pack-size variant of one product, priced for one location. Run the same keyword across several locations to get one row per (variant × location), ready for cross-city price comparison. Money fields are in INR (₹).

📦 Output sample

{
  "rowType": "product",
  "productId": "XYI7MJ20OC",
  "parentProductId": "N2HH8THZI0",
  "variantId": "28FIB5CELA",
  "skuId": "BDOVVQ6XQJ",
  "productUrl": "https://www.swiggy.com/instamart/item/XYI7MJ20OC",
  "name": "Fortune Besan Flour",
  "brand": "Fortune",
  "description": "Perfect For Crispy Snacks",
  "mrp": 85,
  "sellingPrice": 63,
  "discount": 22,
  "discountPercent": 25,
  "unitPrice": "12.6/100 g",
  "offerText": "25% OFF",
  "packSize": "500 g",
  "weightInGms": 500,
  "inStock": true,
  "lowStockText": null,
  "maxAllowedQuantity": 6,
  "category": "Besan, Sooji and Maida",
  "subCategory": "Besan",
  "superCategory": "Atta, Rice and Dals",
  "rating": 4.5,
  "ratingCount": 46100,
  "images": [
    "https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto,h_600/NI_CATALOG/IMAGES/ciw/2026/4/17/3c401aba-eda4-4556-ade0-35c2a9f88f54_28FIB5CELA_1_b10ba22c-ec83-4799-a702-282ae2bb89b9.png",
    "https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto,h_600/NI_CATALOG/IMAGES/ciw/2026/4/17/78b7b251-d9aa-4ee4-8eed-95d03dc7bf64_28FIB5CELA_2_c628a401-4ae3-477b-88cd-df027cc0a274.png"
  ],
  "isSponsored": false,
  "searchRank": 91,
  "storeId": "1135720",
  "location": "Powai, Mumbai, Maharashtra, India",
  "latitude": 19.1175993,
  "longitude": 72.9059747,
  "sourceQuery": "atta",
  "scrapedAt": "2026-10-23T08:10:19.139Z"
}

🗂 Key output fields

Field	Type	Notes
name / brand / description	string	Product name, brand and Instamart's short description
sellingPrice / mrp	number	In ₹
discount / discountPercent	number	₹ off MRP, and the percentage rounded down as the site shows it
unitPrice / offerText	string | null	e.g. 12.6/100 g, 25% OFF
packSize / weightInGms	string / number	Pack details
inStock / lowStockText / maxAllowedQuantity	boolean / string / number	Stock at that store and the per-order limit
category / subCategory / superCategory	string	Instamart's category path
rating / ratingCount	number	124.9k on the site becomes 124900
images	string[]	Product image URLs
searchRank / isSponsored	number / boolean	Position of the product for the keyword, and whether it is a paid placement
productUrl / productId / variantId / skuId	string	Product page and IDs
storeId / location / latitude / longitude	string / number	The store and location this row was priced for
sourceQuery	string	The keyword that produced the row

❓ FAQ

Why do I need a location? Instamart is a delivery app: every product's price, discount and stock depend on the dark store serving the address. No location, no catalogue.

Can I compare prices across cities? Yes. Put several entries in locations and the same product comes back once per location, each with its local price and stock.

How many products does a keyword return? Typically 100 to 300 products, many with two or three pack sizes. Use maxItemsPerQuery to cap it.

How long does a run take? Instamart limits how fast one store can be searched, and the actor waits that limit out instead of failing. In testing, one location with six keywords paginated to the end (1,328 rows) took about four minutes; several locations run in parallel.

What happens with a location Instamart does not serve? The log names it ("Instamart does not deliver here") and the run continues with the others. Nothing is charged for it.

Do I need to set up proxies? No. India residential routing is built in.

Is the same product charged twice if two keywords find it? No. Each pack size is emitted once per store per run; sourceQuery holds the first keyword that found it.

💬 Support

Found a bug or need an extra field? Open an issue on the actor's Issues tab and it'll be looked at quickly.

🛠 Additional services

Need category sweeps, a custom field, or a scheduled price-tracking feed into your warehouse? Custom scraping and pipeline work is available on request.

🔎 Explore more scrapers

Running quick-commerce price comparisons? The same publisher maintains scrapers for the other two big apps, with matching column names so the datasets join cleanly:

• Zepto Product Scraper: prices, MRP and stock per delivery location
• Blinkit Product & Price Scraper: multi-city stock and delivery ETA

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🤖 For AI Agents & LLM Apps

Compact reference for AI agents calling this actor via the Apify MCP server or the Apify API (actor: memo23/swiggy-instamart-scraper).

Purpose: Swiggy Instamart product rows for any delivery location in India, priced per dark store so the same product can be compared across areas and cities.

Minimal input:

{
  "locations": ["Koramangala, Bengaluru"],
  "searchQueries": ["milk"],
  "maxItems": 50
}

Output: one row per pack-size variant × location: rowType, productId, parentProductId, variantId, skuId, productUrl, name, brand, description, mrp, sellingPrice, discount, discountPercent, unitPrice, offerText, packSize, weightInGms, inStock, lowStockText, maxAllowedQuantity, category, subCategory, superCategory, rating, ratingCount, images, isSponsored, searchRank, storeId, location, latitude, longitude, sourceQuery, scrapedAt. Money fields are in ₹.

Behaviors an agent should know:

• locations and searchQueries are both required; every keyword is searched once per location.
• Locations accept area text, 6-digit pincodes or lat,lng. Unserviceable locations are skipped with a log line, not an error.
• Set maxItems (whole run, default 1000) and maxItemsPerQuery (per keyword × location, default 1000).
• Instamart rate-limits per store; the actor waits it out, so a deep multi-keyword run can take several minutes. More locations in parallel do not slow each other down.
• Billing: one paid product event per row; see the Pricing tab on the actor page.

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⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Swiggy Limited or any of its subsidiaries or affiliates. Swiggy and Instamart are trademarks of their respective owners.

The scraper accesses only publicly available Instamart product catalogue data: no login, no account-only features, no order placement. Users are responsible for ensuring their use complies with Swiggy's Terms of Service, applicable data-protection law (including India's DPDP Act, GDPR and CCPA where relevant) and any contractual obligations of their own organisation.

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