E-commerce & Quick Commerce

Flipkart Scraper API

Flipkart prices, rankings, offers and reviews - shelf-level data for high-velocity marketplace battles.

From $15/mo · 1,000 free API calls to start · see pricing

BOOK A SCOPING CALL ALL READY APIS
scrapeguys · flipkart · sample response
{ "source": "flipkart", "fsn": "MOBGXYZ123", "title": "Noise ColorFit Pro 5", "price": 1799, "offers": [ "10% HDFC", "exchange" ], "in_stock": true, "rating": 4.3, "rank_in_search": 2 }
What you can extract

Structured, ready to use

  • Prices & bank offers
  • Stock & delivery by pincode
  • Search rankings
  • Catalog & specs
  • Ratings & reviews
  • Seller information
Example schema
FieldTypeExample
sourcestring"flipkart"
fsnstring"MOBGXYZ123"
titlestring"Noise ColorFit Pro 5"
pricenumber1799
offersarray["10% HDFC", "exchange"]
in_stockbooleantrue
ratingnumber4.3
rank_in_searchnumber2

The full schema is customized to your workflow on the scoping call.

example request · async jobs API
curl -X POST https://api.scrapeguys.com/v1/jobs \
  -H "X-API-Key: $SCRAPEGUYS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"target": "flipkart", "params": {"pid": "MOBGHWFHSVGXAGHF", "pincode": "560001"}}'

Illustrative request - field names and params for your deployment are fixed on the scoping call and documented in your workspace. Full request/response reference: API docs.

Platform notes

What makes Flipkart data different

Offers are the price

Flipkart's effective pricing lives in its offer stack - bank discounts, exchange bonuses, Plus-member constructs - more than in the list price. Every price we return carries the offer text and type alongside the number, because a ₹10,000 phone with a 10% instant card discount is a different competitive fact than the same phone without it.

Sale events move the market

Big Billion Days and the festive calendar are where Flipkart positions shift fastest and where pre-event price baselines matter. We support elevated-cadence event windows: the same SKUs checked more often through the event, with the baseline weeks stored so discount claims can be read against real history.

FSN-keyed, pincode-aware

Listings are keyed on Flipkart's own identifiers and serviceability is checked per pincode panel, so brands see where a SKU is genuinely buyable - not just listed. Cross-matching to Amazon ASINs for the same product is part of the standard delivery for comparison workflows.

Use cases

What teams build on this

Price intelligence

Track competitor prices, discounts and final payable in real time.

Assortment & availability

Catalog gaps, stock-outs and share of search by category.

Demand signals for AI

Clean feeds for pricing engines, forecasting and agents.

Guides & answers: Flipkart data Q&A · MAP & price monitoring Q&A · What is a web scraping API?

How it works

Scoped, built and operated for you

1

Scoping call

Fields, cadence, geography - shaped to your workflow. Docs & samples shared here.

2

We operate it

Anti-bot, proxies, parsing, monitoring - managed and SLA-backed on our side.

3

Clean JSON in

Async job API, BI feed, dashboard or MCP - one schema, your stack.

FAQ

Frequently asked questions

Do you capture bank offers and exchange deals?
Yes - the offer stack is recorded with every price, typed where possible, because Flipkart's effective price lives in those layers rather than the list number.
Can you track Big Billion Days pricing?
Yes - event windows run at elevated cadence with pre-event baselines preserved, so festive discounts can be read against genuine history rather than the platform's framing.
Can Flipkart data be matched to my Amazon feed?
Yes - products are matched across the two marketplaces on identifiers and attributes, delivered in one schema so price-gap and share views span both.
Do you capture the final payable price or just the listed price?
Both. The response carries MRP, listed price, discounts, bank offers and coupons where the platform shows them, so you can reconstruct the price a customer actually pays - which is the number that moves share, not the sticker price.
Can you match the same product across marketplaces?
Yes. We key products on the identifiers each platform exposes and normalize titles and pack sizes across platforms, so a single row compares the same product wherever it sells.
Can you track availability and delivery promises by location?
Yes. Stock status and delivery estimates are captured per pincode or city where the platform differentiates them, so you see what shoppers in each market actually get.
How do I get the API documentation and a data sample?
API documentation is public at scrapeguys.com/docs - request format, response schemas, status codes and worked examples. For a sample dataset on your exact targets, book a short scoping call: each deployment is customized to your schema, fields and volumes, and most teams have a sample in hand within a day.
How fast can this go live for us?
A scoped deployment typically goes live as a production API in 48-72 hours. That includes the scraper itself, a wrapper API shaped to your workflow, custom fields added to the response, monitoring and alerting on our side, and a staging key so your team can validate the schema before production traffic starts.
How is the data delivered - do we have to integrate an API?
An API is one option, not a requirement. The same data layer ships as REST JSON APIs with async jobs and webhooks, scheduled exports into Power BI, Looker, Snowflake, BigQuery or Google Sheets, a white-label dashboard your team signs into with zero integration, or MCP tools your AI agents call live. You can mix channels - API for engineering, dashboard for the commercial team - on one deployment.
What happens when the target site changes or a scrape fails?
That is our problem, not yours. Every source is monitored around the clock - layout changes, anti-bot updates and success-rate drops page our engineers before they page you, and your field names stay stable through redesigns because we absorb the change behind the schema. Failed requests are retried automatically, and anything that still fails is not billed: pricing is success-based.

Need Flipkart data in production?

A 20-minute scoping call gets you documentation, samples and a timeline - most deployments are live in 48-72 hours.

BOOK A CALL SEND YOUR TARGETS