Flipkart Scraper — Prices, MRP & Ratings

Disclaimer: Unofficial tool — not affiliated with, sponsored by, or endorsed by Flipkart or its affiliates. Data is read from publicly accessible search pages only. No login. You are responsible for complying with applicable law and the site’s terms. No warranty on accuracy or availability. Provided for informational and research use.

Search Flipkart by keyword or search URL and extract product cards with product ID, title, price, MRP, discount, rating, rating count, and the Assured badge. This Flipkart scraper is an API alternative for price monitoring and catalog research in India. Run it from Python, Node.js, or MCP; export JSON / CSV / dataset. Fast HTTP — no headless browser.

Crawloop Marketplace & E-commerce Suite — Flipkart search cards, then Amazon, AliExpress, or Walmart for the same product outside India.

Flipkart Scraper ◄── you are here	Amazon Search Scraper	AliExpress Search Scraper	Walmart Scraper
Flipkart keyword / URL cards, INR price, MRP, Assured	Amazon keyword SERP, badges, sponsored	AliExpress prices, sold count, Choice	Walmart ZIP-local prices

Also see: Trendyol Scraper · Newegg Product Scraper

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When to use this Actor

• India price checks — selling price, MRP, and percent off on a keyword
• Catalog pulls — product id, title, rating, and image from search or browse URLs
• Assured shortlists — keep only cards flagged Assured
• Scheduled refresh — same query, compare price and discountPercent over time

When not to use this Actor

• Product page specs, gallery, or offers — search cards only
• Review text — rating and rating count are on the card; review bodies are not
• Seller lead lists — no seller crawl
• Amazon, AliExpress, or Walmart — use the sibling Actors in the table above

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Key Features

• Keyword search — query or batch queries (up to 4 in parallel)
• Paste search or browse URLs — pagination updates page. Product page URLs are rejected
• Pagination + caps — up to 20 pages per query, or stop at maxItems
• Sort — relevance, popularity, price, newest (keyword searches)
• Price and rating filters — minPrice, maxPrice, minRating, assuredOnly
• Fast HTTP — Chrome TLS impersonation, 256 MB. Datacenter in India first; one residential retry if the page is blocked

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How to scrape Flipkart search results

1. Set a keyword in query, or paste search/browse URLs in searchUrls.
2. Cap volume with maxItems and maxPages.
3. Run the Actor. Download the default dataset as JSON, CSV, or Excel — or call it from Python, Node.js, or MCP.

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Input Parameters

Parameter	Type	Default	Description
query	String	—	Primary search keyword
queries	Array	—	Extra keywords (same sort and filters)
searchUrls	Array	—	Search or browse URLs. Product pages are rejected
maxPages	Integer	1	Pages per query/URL (1–20)
maxItems	Integer	—	Product cap per query or URL
startPage	Integer	1	First page
sortBy	String	relevance	Keyword sort. Pasted URLs keep their own filters
minPrice / maxPrice	Number	—	Drop cards outside this INR range
minRating	Number	—	Minimum average rating (0–5)
assuredOnly	Boolean	false	Keep Assured cards only
deduplicateIds	Boolean	true	One row per productId in the run
maxConcurrency	Integer	2	Parallel queries (1–4)
autoEscalateOnBlock	Boolean	true	One India residential retry if datacenter is blocked
proxyConfiguration	Object	datacenter, India	Apify Proxy

Input example

{
  "query": "earphones",
  "maxPages": 1,
  "maxItems": 40,
  "sortBy": "popularity",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyCountry": "IN"
  }
}

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Output

Each dataset item is one search card.

Field	Description
productId	Flipkart product id
listingId	Listing id
title, brand	Card title and brand
price, mrp	Selling price and struck-through MRP, INR
discountAmount, discountPercent	Rupee and percent discount
rating, ratingCount	Average stars and rating count
flipkartAssured	Assured badge
imageUrl, productUrl	Image and product link
category, keySpecs	Category and short spec lines
page, position, searchQuery	Where the card was found
scrapedAt	UTC timestamp

Output example

{
  "source": "flipkart_search",
  "searchQuery": "earphones",
  "page": 1,
  "position": 1,
  "productId": "ACCHEYV9V6MQGFQQ",
  "listingId": "LSTACCHEYV9V6MQGFQQDG5RKC",
  "title": "Mivi DuoPods Blaze",
  "brand": "Mivi",
  "price": 699,
  "mrp": 3999,
  "discountAmount": 3300,
  "discountPercent": 82,
  "currency": "INR",
  "rating": 4.1,
  "ratingCount": 23888,
  "flipkartAssured": true,
  "productUrl": "https://www.flipkart.com/mivi-earbuds/p/itm349?pid=ACCHEYV9V6MQGFQQ",
  "scrapedAt": "2026-09-24T19:00:00Z"
}

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Use Cases

Use case	What you get	Why it helps
Price monitoring	price, mrp, discountPercent	Track promo depth on a keyword
Catalog build	id, title, image, URL	Seed a sheet without opening each product page
Assured filter	flipkartAssured	Drop marketplace listings that are not badged
Cross-market check	Same keyword on Amazon or Walmart	Compare an India card with a US SERP

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Integration examples

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('crawloop/flipkart-scraper').call({
  query: 'earphones',
  maxPages: 1,
  maxItems: 40
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.slice(0, 5));

Python

from apify_client import ApifyClient

client = ApifyClient(token)
run = client.actor("crawloop/flipkart-scraper").call(
    run_input={"query": "earphones", "maxPages": 1, "maxItems": 40}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("productId"), item.get("title"), item.get("price"), item.get("mrp"))

cURL

curl "https://api.apify.com/v2/acts/crawloop~flipkart-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"query":"earphones","maxPages":1,"maxItems":40}'

MCP and AI assistants

Use this Actor from AI tools via Apify MCP. Connect your Apify account, then call this Actor by Store ID crawloop/flipkart-scraper.

Example prompts:

• "Run Flipkart Scraper for earphones, 1 page, return productId, title, price, mrp, and discountPercent"
• "Scrape Flipkart for wireless mouse, keep Assured cards rated 4 and up, summarize the cheapest 20"
• "Chain Flipkart Scraper then Amazon Search Scraper for the same keyword and compare INR cards with the US SERP"

Suite next step

After a Flipkart keyword pull, compare the same products on Amazon Search Scraper. For cross-border wholesale cards, use AliExpress Search Scraper. For US retail prices, use Walmart Scraper.

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FAQ

What input do I need?
A keyword in query (or queries), or Flipkart search/browse URLs in searchUrls.

Does it open product pages?
No. Search cards only: price, MRP, discount, rating, Assured, image, and URL.

Can I paste a product URL?
No. /p/ links are rejected. Use a search or category browse URL.

What if the dataset is empty?
The keyword may have no cards in range, or the datacenter IP was blocked. Leave autoEscalateOnBlock on, or set the proxy group to RESIDENTIAL with country IN.

Is this a Flipkart API alternative?
Yes for search cards: keyword or URL in, structured JSON out. It does not replace a partner catalog API or a review export.

Can I run it from Python, Node.js, or MCP?
Yes. See Integration examples and the MCP section.

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Limitations

• Search cards only — no specifications table, offer stack, or review text from the product page
• India storefront — prices are INR
• Blocks — one residential retry, then the run stops that page instead of launching a browser