Swiggy Instamart data API
BrandBaazar's Swiggy Instamart data API gives you structured access to live product data from one of India's largest quick commerce platforms. Use it to pull product details, MRP and selling prices, discounts, hyperlocal stock availability, search rankings, category listings, and delivery estimates, all returned as clean JSON. Pricing teams, category managers, brand analysts, and research platforms use it to watch the quick commerce shelf without building scrapers.
DocumentationInstamart is quick commerce, so the data shifts by the hour and by the neighborhood. A product can be in stock in one part of Bengaluru and sold out two kilometers away, sometimes at a different price. The API takes location as a parameter, so you see exactly what shoppers see, store by store and city by city.
Most Western data providers stop at Amazon and Walmart, and Indian quick commerce rarely shows up in their catalogs by name. BrandBaazar was built with Indian commerce as a priority, which is why Instamart sits alongside Blinkit, Zepto, Flipkart, and Meesho in the same catalog of 50+ data sources, with 2.3B events modeled daily across them.
What data you get from Swiggy Instamart
Product details
Pull name, brand, pack size, images, category, MRP, and current selling price for Instamart listings, standardized into consistent JSON fields.
Hyperlocal availability
Check in-stock and out-of-stock status for any location you specify. Instamart fulfills from dark stores, so assortment and stock differ from one neighborhood to the next.
Live pricing and offers
Track selling price against MRP, discount percentages, and promotional tags as they change through the day, across every city you care about.
Search results and rankings
Retrieve the results shoppers see for any keyword in a given location, with positions included, so you can measure share of search against competing brands.
Category and shelf listings
Read category listings in the order Instamart displays them to measure shelf placement and see which brands hold the top slots in each aisle.
Delivery estimates and serviceability
See quoted delivery times and whether Instamart serves a given location, useful for coverage mapping and side-by-side comparisons with Blinkit and Zepto.
Why Swiggy Instamart coverage matters
Quick commerce has changed how urban India buys groceries and essentials, and Swiggy Instamart competes head to head with Blinkit and Zepto on the same rapid delivery promise. For FMCG and consumer brands, the dark-store shelf is now a real sales channel, yet US-centric data providers rarely cover it. BrandBaazar treats India as a primary market, so Instamart data ships with the same reliability as its Amazon and Walmart coverage.
How teams use the Swiggy Instamart data API
Price and discount monitoring
Watch your SKUs and competitor SKUs across Instamart in every city you sell in. Catch price changes and new discounts within hours instead of finding out from a weekly report.
Availability and stockout alerts
Quick commerce sales stop the moment a product goes out of stock. Poll availability by location and alert your supply team before empty shelves turn into lost market share.
Share of search and shelf
Track where your brand ranks for key search terms and category pages versus competitors, location by location, and measure whether retail media spend actually moves placement.
AI agent grounding
Feed live Instamart prices and availability to shopping agents, grocery assistants, and LLM apps. Structured JSON and MCP support mean agents answer from current data, not training data.
How it works
Get access
Book a demo through the Get a Demo form or pick a plan on the pricing page. You get API credentials and documentation so you can start making requests right away.
Send a request
Call the API with a product, search keyword, or category, plus the location you want data for. BrandBaazar handles proxies, anti-bot measures, and parsing behind the scenes.
Receive structured JSON
Get clean JSON with prices, availability, rankings, and product fields, typically in under 100ms, ready to load into dashboards, databases, or AI agents.
Frequently asked questions
How do I scrape Swiggy Instamart data?
The short answer is to use an API instead of building scrapers. Instamart loads content dynamically, changes its catalog by location, and runs bot protection like most large platforms, so home-built scrapers break constantly and need proxy and anti-bot upkeep. BrandBaazar handles all of that for you. You send a product or search query with a location, and the API returns structured JSON. There are no headless browsers, proxy pools, or parsers for your team to maintain.
What data does the Swiggy Instamart API return?
Each response can include product name, brand, pack size, images, MRP, selling price, discount and offer tags, in-stock status for the location you query, search results with positions, category listings, and quoted delivery times. The exact fields depend on the request type. Everything arrives as structured JSON, so it drops into dashboards, databases, and internal tools without HTML parsing on your side.
How fresh is the data, and what are the rate limits?
Data is fetched at request time, so what you get reflects what Instamart is showing at that moment for the location you specify. That matters on a platform where prices and stock can change several times a day. Rate limits depend on your plan, and higher tiers support larger request volumes for jobs like hourly price sweeps across many cities. The pricing page lists the current tiers.
Can I track Instamart prices and availability across cities?
Location is a core parameter, not an afterthought. Instamart serves each neighborhood from nearby dark stores, so the same SKU can carry different prices, offers, and stock status in Mumbai, Bengaluru, and Delhi, and even across areas of one city. By querying multiple locations on a schedule, you can build a city-by-city picture of pricing and availability and catch regional stockouts early.
Can AI agents and LLMs use Swiggy Instamart data from this API?
That is one of the main ways teams use it. Responses are structured JSON with predictable fields, which makes them easy to pass into LLM context windows or function-calling pipelines. BrandBaazar also supports MCP, so AI shopping agents can query live Instamart prices and availability as a tool rather than relying on stale training data. Teams building grocery assistants and price comparison agents ground their answers this way.
Do you also cover Blinkit and Zepto?
Blinkit and Zepto are both available as named products alongside Swiggy Instamart, so you can monitor all three major Indian quick commerce platforms through one integration. The same account also reaches Flipkart, Meesho, Ajio, Amazon, and the rest of BrandBaazar's 50+ data sources. Most teams start with one platform and add the others once their pipelines are running, since the request and response patterns stay consistent.
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