Flipkart Scraper — Product Prices, Discounts & Ratings

Flipkart Scraper extracts product listings from Flipkart.com, India's largest marketplace, for any search term or category page. For each product you get the selling price, MRP, discount %, rating, number of ratings and reviews, the 1-5 star breakup, key specs, stock status, F-Assured badge, Bestseller tag, sponsored flag, bank and exchange offers, category and images. Sort by price, popularity or newest, set a price range, and collect up to 1,000 products per search, without a login or API key.

What you get

• Search by keyword (e.g. iphone, running shoes, air fryer) or paste Flipkart search and category URLs with your own filters.
• Sort: relevance, popularity, price low to high, price high to low, newest.
• Price range filter, double-checked on every product (Flipkart's own filter lets some items through).
• Rich fields: price, MRP, discount, rating, ratings and reviews count, star breakup, key specs, F-Assured, Bestseller, sponsored, offers, warranty, stock, images.
• Up to 25 pages per search; duplicates removed; optional exclusion of sponsored listings.
• Fair billing: only saved products are charged; no start fee.

How to use Flipkart Scraper

1. Enter Search terms and/or paste Flipkart URLs (search or category pages; product pages are not supported).
2. Optionally set Sort by, Min/Max price (₹) and Max products per search.
3. Run the Actor and export to JSON, CSV or Excel, or send results to Google Sheets, Make, Zapier or an AI agent.

Input example

{
  "searchTerms": [
    "iphone"
  ],
  "maxProductsPerSearch": 100,
  "sortBy": "popularity"
}

All fields are described in the Input tab.

Output example

{
  "productId": "MOBHQV9YCUG4ZQZK",
  "listingId": "LSTMOBHQV9YCUG4ZQZKUTWGGY",
  "title": "Apple iPhone 17 (Black, 256 GB)",
  "brand": "Apple",
  "subtitle": null,
  "url": "https://www.flipkart.com/apple-iphone-17-black-256-gb/p/itmc61b40459dd98?pid=MOBHQV9YCUG4ZQZK&lid=LSTMOBHQV9YCUG4ZQZKUTWGGY&marketplace=FLIPKART",
  "price": 88999,
  "mrp": 99900,
  "discountPercent": 10,
  "currency": "INR",
  "rating": 4.6,
  "ratingsCount": 45508,
  "reviewsCount": 3029,
  "ratingBreakup": {
    "1": 1877,
    "2": 444,
    "3": 1139,
    "4": 5879,
    "5": 36169
  },
  "keySpecs": [
    "256 GB ROM",
    "16.0 cm (6.3 inch) Super Retina XDR Display",
    "48MP + 48MP | 18MP Front Camera",
    "A19 Chip, 6 Core Processor Processor"
  ],
  "inStock": true,
  "availability": "IN_STOCK",
  "isFAssured": true,
  "tag": "Bestseller",
  "isSponsored": false,
  "offers": [
    "Upto ₹69,500 Off on Exchange",
    "Bank Offer"
  ],
  "warranty": "Apple One (1) Year Limited Warranty",
  "category": "Mobile",
  "subCategory": "Handset",
  "vertical": "Handset",
  "imageUrl": "https://rukmini1.flixcart.com/image/832/832/xif0q/mobile/2/p/o/-original-imahqvad9pbyujab.jpeg?q=70",
  "imageUrls": [
    "https://rukmini1.flixcart.com/image/832/832/xif0q/mobile/2/p/o/-original-imahqvad9pbyujab.jpeg?q=70"
  ],
  "position": 1,
  "page": 1,
  "search": "iphone",
  "scrapedAt": "2026-10-26T21:30:00.000Z"
}

Output fields

Field	Description
productId	Flipkart product ID (FSN).
listingId	Listing ID (seller offer).
title	Product title.
brand	Brand.
subtitle	Variant info, when shown.
url	Product URL.
price	Selling price, INR.
mrp	MRP, INR.
discountPercent	Discount, %.
currency	INR.
rating	Average rating, 1-5.
ratingsCount	Number of ratings.
reviewsCount	Number of written reviews.
ratingBreakup	Ratings by stars (1-5).
keySpecs	Key specs shown on the card.
inStock	In stock.
availability	Stock state, e.g. IN_STOCK.
isFAssured	F-Assured badge.
tag	Card tag, e.g. Bestseller.
isSponsored	Sponsored listing.
offers	Offer snippets (exchange, bank offers).
warranty	Warranty summary.
category	Flipkart category.
subCategory	Subcategory.
vertical	Product vertical.
imageUrl	Main image (832px).
imageUrls	Up to 8 images.
position	Position in this search.
page	Results page.
search	Search term or URL.
scrapedAt	When the row was scraped.

Export results as JSON, CSV, Excel, XML or HTML, or read them with the API.

Use cases

• Price monitoring and MAP compliance for brands selling on Flipkart; schedule daily runs.
• Competitor and assortment research for D2C brands and sellers.
• Discount and deal tracking (MRP vs selling price) for deal sites and Telegram channels.
• Market research: ratings, review counts and specs across a category.
• Ad monitoring: see which products are sponsored for your keywords.

How much does Flipkart Scraper cost?

This Actor uses pay-per-event pricing: $0.0008 per product ($0.8 per 1,000). Platform usage is included. There is no start fee. Searches that find nothing and products outside your price range are free.

Set Maximum cost per run in the run options to cap your spend; the Actor stops when the limit is reached.

Use Flipkart Scraper with AI agents (MCP)

Give Claude, ChatGPT, Cursor or any MCP client this Actor as a tool through the hosted Apify MCP server:

$claude mcp add --transport http apify "https://mcp.apify.com/?tools=technicaldost/flipkart-scraper-products-prices" --header "Authorization: Bearer YOUR_APIFY_TOKEN"

Or in a JSON MCP config:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=technicaldost/flipkart-scraper-products-prices",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}

The tool is named technicaldost--flipkart-scraper-products-prices. Ask your agent, for example, to "run Flipkart Scraper with {"searchTerms": ["iphone"], "maxProductsPerSearch": 100, "sortBy": "popularity"}".

Run Flipkart Scraper via API

curl -X POST "https://api.apify.com/v2/acts/technicaldost~flipkart-scraper-products-prices/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["iphone"], "maxProductsPerSearch": 100, "sortBy": "popularity"}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("technicaldost/flipkart-scraper-products-prices").call(run_input={"searchTerms": ["iphone"], "maxProductsPerSearch": 100, "sortBy": "popularity"})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('technicaldost/flipkart-scraper-products-prices').call({"searchTerms": ["iphone"], "maxProductsPerSearch": 100, "sortBy": "popularity"});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Integrations

Schedule runs (daily, hourly) in Apify Console and send results to Google Sheets, Slack, Make, Zapier, n8n, Airbyte or your own webhook.

FAQ

Do I need a Flipkart account?

No. The Actor reads public search and category pages.

Which price is returned?

price is the selling price shown on the search page (INR); mrp is the strikethrough MRP; discountPercent is Flipkart's discount. Card-specific bank offers are listed in offers, not deducted.

Can I scrape a single product page or reviews?

Not in this version: Flipkart rate-limits product pages heavily. Search and category pages already include price, rating, review counts, star breakup and key specs.

How many products per search?

Up to 1,000 (Flipkart shows about 25 pages of 24-40 products).

Why are some ratings empty?

New products without ratings have rating, ratingsCount and ratingBreakup set to null.

Is it legal to scrape this data?

The Actor collects publicly available information only and does not log in or bypass access controls. Use the data in line with the website's terms and the laws that apply to you, especially when processing personal data.

Related Actors

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