Flipkart Scraper — Extract Products, Prices, Reviews & Seller Data from India's Largest Marketplace

Extract structured product catalog data, pricing intelligence, and customer reviews from Flipkart search results, category pages, and product detail pages. Get titles, MRP/selling price/discount, full 1★–5★ rating histograms, specifications, images, seller info, and per-product review content — all in clean JSON.

Built for India-market e-commerce sellers, price-monitoring SaaS teams, brand managers, and sentiment-analysis researchers who need reliable Flipkart data without managing scraping infrastructure. Runs on Apify with API access, scheduling, and residential proxy rotation built in.

Extract Flipkart Product Data for India E-Commerce Intelligence

• Price & discount monitoring — track selling price, MRP, and discount % across competitors for dynamic pricing analysis.
• Brand & reputation monitoring — watch ratings, review counts, and new negative reviews on your products and competitors.
• Sentiment analysis — collect review text, ratings, and certified-buyer flags for NLP pipelines and customer insight dashboards.
• Catalog research — pull key specs, images, seller info, and product metadata for market analysis and competitive positioning.
• Big Billion Days price tracking — monitor flash-sale pricing changes in real time across categories.
• Cross-marketplace comparison — pair Flipkart data with Amazon India to spot pricing gaps and arbitrage opportunities.

How the Flipkart Product Scraper Works

1. Enter search queries (e.g. iphone 15, samsung washing machine), paste Flipkart search/category URLs, or provide direct product URLs.
2. Optionally enable Include Product Details for full specifications, seller, and rating histogram.
3. Optionally enable Include Reviews to collect per-product review content.
4. Click Run and download your dataset as JSON, CSV, HTML, or Excel.

No Flipkart account, no API key, no code required. Runs on Apify with proxy rotation built in.

Build Business Databases from Flipkart Without Official API Access

Flipkart's Affiliate API requires manual approval (2-4 weeks), restricts use cases to affiliate marketing, and returns limited data. This Actor accesses the public catalog the same way any shopper does — with no application process and no use-case restrictions beyond standard public-data scraping norms.

Extract Real-Time Pricing Data from Flipkart Search Results

Field	Type	Required	Default	Notes
searchQueries	array	No	—	Plain-text Flipkart search terms (e.g. iphone 15). Each becomes a search URL.
startUrls	array	No	—	Flipkart search or category URLs (preserves existing filters).
productUrls	array	No	—	Direct Flipkart product URLs (/p/itm...) for detail scraping.
maxItemsPerInput	integer	No	50	Maximum product rows to emit per search query / URL.
includeDetails	boolean	No	false	Fetch product detail pages for specs, seller, offers, and rating histogram.
includeReviews	boolean	No	false	Fetch Flipkart product-review pages and attach review samples.
maxReviewsPerProduct	integer	No	10	Maximum review records to attach to each product.
reviewSortBy	string	No	MOST_HELPFUL	Sort order: MOST_HELPFUL, MOST_RECENT, POSITIVE_FIRST, NEGATIVE_FIRST.
maxConcurrency	integer	No	4	Upper bound on concurrent requests.
requestDelayMs	integer	No	750	Base delay between page requests in milliseconds.
requestTimeoutMs	integer	No	20000	Maximum time to wait for each Flipkart HTML request.
maxRequestRetries	integer	No	3	Retry blocked/empty pages with a fresh proxy session.
proxyConfiguration	object	No	Apify RESIDENTIAL	Proxy settings. Residential proxy strongly recommended for Flipkart.

Get Flipkart Product Catalog Data in Structured JSON

Product Row (Default Dataset)

{
  "type": "product",
  "source": "flipkart",
  "mode": "search",
  "query": "iphone 15",
  "productId": "MOBGTAGPTB3VS24W",
  "listingId": "LSTMOBGTAGPTB3VS24W...",
  "title": "Apple iPhone 15 (Black, 128 GB)",
  "brand": "APPLE",
  "sellingPriceInr": 69999,
  "mrpInr": 79900,
  "discountPercent": 12,
  "currency": "INR",
  "rating": 4.6,
  "ratingCount": 184250,
  "reviewCount": 12480,
  "keySpecs": ["128 GB ROM", "15.49 cm (6.1 inch) Display", "48MP Rear Camera"],
  "imageUrls": ["https://rukminim2.flixcart.com/image/416/416/..."],
  "url": "https://www.flipkart.com/apple-iphone-15-black-128-gb/p/itm6ac6485515ae4",
  "reviewUrl": "https://www.flipkart.com/apple-iphone-15-black-128-gb/product-reviews/itm6ac6485515ae4"
}

Review Row (Reviews Dataset)

{
  "type": "review",
  "productId": "MOBGTAGPTB3VS24W",
  "productTitle": "Apple iPhone 15 (Black, 128 GB)",
  "rating": 5,
  "title": "Superb camera and battery",
  "reviewText": "Using it for two weeks now. The camera quality is excellent...",
  "author": "Rahul Sharma",
  "location": "Pune, Maharashtra",
  "certifiedBuyer": true,
  "helpfulCount": 342,
  "downvoteCount": 18,
  "reviewDate": "Aug, 2024"
}

Connect Flipkart Data to Your Analytics Pipeline

• API Access — run the Actor programmatically via Apify API with JSON output.
• Scheduling — set up recurring scrapes (hourly during sale events, daily for steady-state monitoring).
• Webhooks — forward results to your data warehouse or Slack channel.
• Export Formats — download as JSON, CSV, HTML, Excel, XML, or RSS.

For Big Billion Days and flash-sale events, schedule hourly runs to catch real-time pricing changes. For general catalog tracking, daily cadence is sufficient.

Related E-Commerce Scrapers

• Amazon India Scraper — extract Amazon India product data for cross-marketplace comparison.
• Flipkart Product Scraper (sian.agency) — alternative Flipkart scraper with sort/filter options and free tier.
• Meesho Product Scraper — scrape India's fastest-growing social commerce marketplace.
• Myntra Product Scraper — extract fashion product data from India's leading fashion marketplace.
• AJIO Product Scraper — get product data from Reliance's fashion e-commerce platform.

FAQ

Why use this Actor instead of the Flipkart Affiliate API?

Flipkart's Affiliate API requires manual approval (2-4 weeks), is restricted to affiliate-marketing use cases only, and returns a limited subset of public data. This Actor accesses the public catalog with no application process, no use-case restrictions, and returns more fields including rating histograms, full specifications, seller info, and review content.

What data can I extract from Flipkart with this Actor?

Product titles, MRP, selling price, discount percentage, ratings, rating count, review count, key specifications, images, availability, seller info, and full review content (rating, text, author, certified-buyer flag, helpful votes). With detail mode enabled, you also get full specification tables, seller details, and rating histograms.

How do I track Flipkart prices during Big Billion Days?

Set up an Apify schedule with hourly runs during the sale event. Each run captures current pricing, and successive datasets build a time-series view of price changes. Filter for 30%+ discounts on 4.0+ rated products with 1,000+ reviews to find genuine deals.

Is scraping Flipkart legal?

This Actor only accesses publicly available product pages — no login bypass, no CAPTCHA solving, no personal data extraction. Users are responsible for their own compliance with Flipkart's Terms of Service and applicable data-protection law.

What are alternatives to this Flipkart scraper?

Alternatives include the Flipkart Affiliate API (restricted to affiliate use cases), manual browsing (doesn't scale), and third-party services like ScraperAPI, Oxylabs, or Nextract. This Actor offers a balance of structured data, reviews support, and pay-per-event pricing on the Apify platform.

How does this compare to other Flipkart scrapers on Apify?

This Actor is one of the few that supports reviews extraction alongside product data. It offers 3 input modes (search queries, URLs, product URLs) and detail mode with specifications and seller info. Competitors like sian.agency offer more output fields and sort/filter options; truefetch offers 58 normalized fields for keyword-only search. Choose this Actor if you need reviews alongside product data.

Can I use this for sentiment analysis on Flipkart reviews?

Yes. Enable includeReviews: true and set reviewSortBy to control which reviews are captured. The review dataset includes rating, full review text, author, certified-buyer flag, helpful/downvote counts, and dates — all fields needed for NLP sentiment pipelines.

How do I scrape Flipkart products without getting blocked?

The Actor uses Apify's residential proxy rotation by default, which is strongly recommended for Flipkart. The built-in requestDelayMs (750ms default) and maxRequestRetries (3 default) handle rate limiting automatically. For large-scale runs, increase maxItemsPerInput rather than reducing delays.

SEO Keywords

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For AI Agents & LLM Apps

Purpose: Extract structured product catalog data, pricing, and reviews from Flipkart (India's largest e-commerce marketplace) by search query, category URL, or product URL.

Minimal working input:

{
  "searchQueries": ["iphone 15"],
  "maxItemsPerInput": 10
}

Detail mode + reviews input:

{
  "searchQueries": ["samsung galaxy"],
  "maxItemsPerInput": 20,
  "includeDetails": true,
  "includeReviews": true,
  "maxReviewsPerProduct": 5
}

Product URL input:

{
  "productUrls": ["https://www.flipkart.com/apple-iphone-15-black-128-gb/p/itm6ac6485515ae4"],
  "includeDetails": true
}

Output fields (default dataset): type, source, mode, query, productId, listingId, title, brand, sellingPriceInr, mrpInr, discountPercent, currency, rating, ratingCount, reviewCount, keySpecs, imageUrls, url, reviewUrl, scrapedAt, page

Output fields (reviews dataset): type, productId, productTitle, rating, title, reviewText, author, location, certifiedBuyer, helpfulCount, downvoteCount, reviewDate

Behaviors an agent should know:

• includeDetails: true fetches each product page individually — increases cost (billed per Product event) and run time, but adds specs, seller, offers, and rating histogram.
• includeReviews: true fetches review pages — billed per Review event ($0.005 each). Set maxReviewsPerProduct to control cost.
• proxyConfiguration defaults to Apify RESIDENTIAL — strongly recommended for Flipkart; datacenter proxies get blocked quickly.
• requestDelayMs (750ms default) controls anti-bot pacing. Reducing it increases block risk.
• reviewSortBy controls which reviews surface first: MOST_HELPFUL (default), MOST_RECENT, POSITIVE_FIRST, NEGATIVE_FIRST.

Billing: Pay-per-event — $0.001 per product, $0.005 per review, $0.0005 per Actor start.

Legal & Compliance Disclaimer

This Actor is independent and not affiliated with, endorsed by, or sponsored by Flipkart (Flipkart Internet Private Limited). It only accesses publicly available product pages on flipkart.com — no login bypass, no CAPTCHA solving, no personal data extraction. Users are responsible for their own compliance with Flipkart's Terms of Service and applicable data-protection law (including India's Digital Personal Data Protection Act 2023 and GDPR/CCPA where applicable).