Flipkart scraper API
BrandBaazar's Flipkart scraper API gives you structured product data from Flipkart without building or maintaining scrapers. One API call returns product details, live prices, discounts, search rankings, seller information, ratings, and reviews as clean JSON. Pricing teams, brand analysts, and ecommerce intelligence platforms use it to track what is actually happening on one of India's largest marketplaces.
DocumentationMost global data providers stop at Amazon and Walmart, and Flipkart rarely gets the same treatment, which leaves teams selling in India to build and babysit their own scraping stack. BrandBaazar covers Flipkart as a first-class source alongside Meesho, Ajio, and India's quick-commerce apps, so you get the same structured access you expect for US marketplaces.
You send a product URL, FSN, or search query. We handle proxies, browser fingerprints, and layout changes on our side and return normalized JSON in real time. The same data feeds our pricing intelligence and review analytics tools, and it is formatted so LLM apps and AI shopping agents can use it directly through MCP.
What data you get from Flipkart
Product details by FSN or URL
Send a Flipkart product URL or FSN and get back the title, brand, images, specifications, variants, highlights, and rating summary in a single JSON response.
Search results and rankings
Query any keyword and receive the ranked results a shopper sees, including product positions, sponsored placements, prices, and ratings. This is the foundation for share of search and competitor tracking.
Live pricing and offers
Capture selling price, MRP, discount percentage, bank offers, and exchange offers as they change. Sale events like Big Billion Days can move prices several times a day, and real-time requests catch each change.
Ratings and reviews
Pull star distributions and individual reviews with review text, ratings, certified buyer flags, and helpful votes, ready to feed into sentiment analysis.
Seller and availability data
See the current seller, Flipkart Assured status, stock availability, and delivery estimates, so you know who is winning the listing and where it can ship.
Category and deal listings
Track category pages and deal sections to see which products Flipkart surfaces, how assortments shift, and where new competitors enter your space.
Why Flipkart coverage matters
Flipkart is where a large share of Indian ecommerce happens, yet most global data providers treat India as an afterthought. If your brand competes there, you need the same data depth for Flipkart that you already have for Amazon. BrandBaazar was built India-first, covering Flipkart, Meesho, and Ajio along with quick-commerce apps like Blinkit, Zepto, and Swiggy Instamart, so your India strategy runs on real numbers instead of guesswork.
How teams use the Flipkart data API
Price and promotion monitoring
Track your products and competitors across Flipkart daily or hourly. Catch price drops, discount changes, and bank offer stacking, and react before a sale event erodes your position.
Share of search and digital shelf
Measure where your brand ranks for the queries that matter, how much visibility sponsored listings take, and how your shelf presence compares with competitors week over week.
Review and sentiment analysis
Feed Flipkart reviews into sentiment models to find recurring complaints, spot quality issues early, and compare how shoppers talk about your products versus competing listings.
AI agent grounding
Give shopping agents and LLM apps live Flipkart product data through structured JSON and MCP, so recommendations rest on current prices and stock instead of outdated training data.
How it works
Get access
Request a demo or pick a plan on the API plans page. You get an API key and documentation covering every Flipkart data type.
Call the API
Send a Flipkart product URL, FSN, or search keyword. We handle proxies, anti-bot measures, and parsing, so a plain HTTPS request is all you write.
Get structured JSON
Receive normalized JSON with pricing, product, seller, and review fields, typically in under 100ms, ready for your database, dashboard, or agent pipeline.
Frequently asked questions
How do I scrape Flipkart data?
The practical answer is to use an API rather than building scrapers yourself. Flipkart changes page layouts, rotates anti-bot defenses, and serves different content by region, so a homegrown scraper needs constant repair. With BrandBaazar you send a product URL or search query to the API and get structured JSON back. We handle proxies, rendering, and parsing on our side, so your team works with data instead of maintaining infrastructure.
Does Flipkart have an official public API?
Flipkart offers APIs for registered sellers to manage their own listings and orders, but it does not provide a public API for reading catalog, pricing, or search data across the marketplace. That is the gap BrandBaazar fills. You get programmatic access to product details, prices, rankings, and reviews without a seller account and without parsing HTML yourself.
How fresh is the data, and what are the rate limits?
Requests run in real time. When you call the API we fetch the current state of the product or search page, so prices and stock reflect what a shopper in India sees at that moment rather than a cached snapshot. Rate limits depend on your plan. Entry plans suit periodic tracking, while higher tiers support large catalogs polled at high frequency. Details are on the API plans page, and we can size a plan during a demo.
Can I use this as a Flipkart price tracker API?
Price tracking is one of the most common uses. Poll the products you care about on a schedule and record selling price, MRP, discount percentage, and active offers from each response. Over time that builds a price history you can use for repricing, MAP monitoring, or watching how competitors behave during events like Big Billion Days. The response also includes seller and availability fields, so you can tell a price change from a seller change.
Can AI agents and LLMs consume Flipkart data through this API?
That is a core design goal. Every response is structured JSON with consistent field names, which makes it easy to feed into LLM prompts, RAG pipelines, or agent tools. BrandBaazar also supports MCP, so AI shopping agents can query live Flipkart product data as a tool call and ground their answers in current prices and availability instead of stale training data.
Is it legal to collect Flipkart data?
BrandBaazar collects publicly available product information, the same pages any shopper can open without logging in. The API does not touch personal data or content behind authentication. How you may use marketplace data depends on your jurisdiction and your use case, so review applicable laws and your own compliance requirements. Many established price intelligence and market research products are built on this kind of public commerce data.
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