Flipkart Product & Review Scraper — Prices, Specs, Ratings & Reviews

Extract product data and customer reviews from Flipkart.com by keyword, category URL, or direct product URL. Get titles, brands, selling prices, MRP, discounts, ratings, key specs, images, availability, and full product details with grouped specifications, highlights, and descriptions. Optionally scrape reviews with author, rating, text, location, and helpful votes.

Why Use This Scraper?

• All product fields in one row — title, brand, price, MRP, discount %, rating, rating count, review count, rating histogram, key specs, images, availability, warranty, and category.
• Customer reviews — optional per-product review scraping with author, rating, title, text, date, location, helpful votes, and review images.
• Full detail enrichment — optional per-product detail fetch adds description, highlights, full specifications grouped by category, and variants.
• Three input modes — keyword search, category/search URL pagination, or direct product URLs. All work in a single run.
• Residential proxy built in — Flipkart rate-limits datacenter IPs, so the actor routes through Apify Residential by default.
• Fast and lightweight — reads Flipkart's server-rendered embedded JSON directly via impit, no browser automation needed.
• Deduplication and pagination — repeats are skipped across pages, and the actor walks as many pages as you need.

Overview

The actor scrapes Flipkart product listings and (optionally) enriches each product with its full detail page. It reads the window.__INITIAL_STATE__ JSON embedded in Flipkart's server-rendered HTML, so no JavaScript rendering is required. Output is one row per product, ready for price monitoring, catalog research, or e-commerce analytics.

Supported Inputs

• Keyword search — keyword: "wireless earbuds" searches Flipkart and paginates results.
• Category or search URL — any Flipkart URL containing /search or a /pr? category page, passed via startUrls. The actor paginates it.
• Direct product URL — any Flipkart product page URL (contains /p/), passed via startUrls. The actor fetches full details for each.

Example URLs:

https://www.flipkart.com/search?q=mobile&marketplace=FLIPKART
https://www.flipkart.com/computers/computer-components/monitors-accessories/monitors/pr?sid=6bo,g0i,unb,pp8&marketplace=FLIPKART
https://www.flipkart.com/apple-iphone-17-black-256-gb/p/itm01d3476376a82?pid=MOBHQV9YCUG4ZQZK

Unsupported: Flipkart seller dashboard pages, Flipkart Plus member-only deals behind login, and Flipkart Grocery API-only pages.

Use Cases

Audience	Use case
E-commerce teams	Price monitoring and competitive pricing analysis across product categories
Market researchers	Catalog extraction and assortment analysis for Indian retail
Dropshippers	Product discovery and margin calculation from discount data
Data analysts	Rating and review aggregation for sentiment and trend analysis
SEO teams	Product title and specification data for content generation

How It Works

1. Provide a keyword or URLs — enter a search term, paste category/search URLs, or paste direct product URLs.
2. Residential proxy fetch — the actor requests each page through Apify Residential proxy with a Chrome TLS fingerprint via impit.
3. Parse embedded JSON — Flipkart's __INITIAL_STATE__ blob is extracted and walked for product slots (24 per search page).
4. Optional detail enrichment — when enabled, each product's detail page is fetched for description, highlights, and full specifications.
5. Clean JSON output — deduplicated rows are pushed to the dataset, ready to export as JSON or CSV.

Input Configuration

Field	Type	Default	Description
keyword	string	""	Search keyword, e.g. wireless earbuds. Used when startUrls is empty.
startUrls	array	[]	Flipkart product, search, or category URLs. Product URLs are scraped directly; listing URLs are paginated.
sort	enum	relevance	Sort order for keyword search: relevance, popularity, price_asc, price_desc, newest.
maxItems	integer	100	Maximum products to return. 0 = unlimited. Free plan: 5 per run.
maxPages	integer	0	Maximum listing pages to fetch (24 products per page). 0 = no limit.
fetchDetails	boolean	false	Visit each product's detail page for description, highlights, full specs, and variants. Charged as an extra event per product.
fetchReviews	boolean	false	Scrape customer reviews for each product. Reviews are pushed to the same dataset with type: "review". Charged per review as a dataset item.
maxReviewsPerProduct	integer	50	Maximum reviews to collect per product. 0 = no limit.
maxReviewPages	integer	20	Safety cap for review pagination (10 reviews per page).
proxy	object	residential	Proxy configuration. Apify Residential is the default because Flipkart rate-limits datacenter IPs.

Example: keyword search with details

{
  "keyword": "wireless earbuds",
  "maxItems": 50,
  "fetchDetails": true,
  "sort": "popularity"
}

Example: direct product URLs

{
  "startUrls": [
    "https://www.flipkart.com/apple-iphone-17-black-256-gb/p/itm01d3476376a82?pid=MOBHQV9YCUG4ZQZK",
    "https://www.flipkart.com/samsung-galaxy-s25-5g-snapstorm-navy-128-gb/p/itm01d3476376a82?pid=MOBHQDMKCCDK2VT7"
  ],
  "fetchDetails": true
}

Example: category URL pagination

{
  "startUrls": [
    "https://www.flipkart.com/computers/computer-components/monitors-accessories/monitors/pr?sid=6bo,g0i,unb,pp8&marketplace=FLIPKART"
  ],
  "maxItems": 100,
  "maxPages": 5
}

Output Overview

Each row is one Flipkart product. Search/category mode returns listing-level fields (title, price, rating, key specs, images). Detail mode enriches each row with description, highlights, and full specifications grouped by category.

Output Samples

Search result row (without details)

{
  "title": "Apple iPhone 17 (Black, 256 GB)",
  "rating": 4.6,
  "ratingCount": 43723,
  "reviewCount": 1205,
  "ratingBreakup": [12, 8, 45, 892, 42366],
  "price": 88999,
  "discountPercent": 10,
  "discountAmount": 10901,
  "mrp": 99900,
  "currency": "INR",
  "availability": "IN_STOCK",
  "inStock": true,
  "category": "Mobile",
  "vertical": "mobile",
  "brand": "Apple",
  "keySpecs": ["256 GB ROM", "A19 Chip, 6 Core Processor", "48MP + 48MP Rear Camera", "6.3 inch All Screen OLED Display"],
  "warranty": "1 Year Manufacturer Warranty",
  "images": ["https://rukminim2.flixcart.com/image/400/400/..."],
  "subtitle": "256 GB ROM",
  "superTitle": "Apple",
  "url": "https://www.flipkart.com/apple-iphone-17-black-256-gb/p/itm01d3476376a82?pid=MOBHQV9YCUG4ZQZK",
  "productId": "MOBHQV9YCUG4ZQZK",
  "scrapedAt": "2026-10-23T05:51:51.543Z"
}

Detail-enriched row (with fetchDetails: true)

Adds description, highlights, and specifications:

{
  "title": "Aroma NB121 Pro Pods ... Bluetooth Headset (Crystal Black, True Wireless)",
  "rating": 3.5,
  "ratingCount": 140517,
  "price": 280,
  "discountPercent": 78,
  "mrp": 1299,
  "productId": "ACCHKNVUHRHDDZZ5",
  "highlights": ["Up to 45 hr of Battery Life", "Fast Charging Support", "With Deep Bass"],
  "description": "This product features black true wireless in-ear headphones with a stem design...",
  "specifications": {
    "General": { "Brand": "Aroma", "Headphone Type": "True Wireless", "Connectivity": "Bluetooth" },
    "Connectivity Features": { "Bluetooth Version": "v5.4", "Battery Life": "45 hr", "Wireless Range": "10 m" },
    "Product Details": { "Deep Bass": "Yes", "With Microphone": "Yes", "Water Resistant": "Yes" }
  }
}

Review row (with fetchReviews: true)

Reviews are pushed to the same dataset with type: "review":

{
  "type": "review",
  "reviewId": "1c6151de-8944-4f7b-bd75-45bb4b697a2e",
  "productId": "ACCHKNVUHRHDDZZ5",
  "author": "Flipkart Customer",
  "rating": 3,
  "title": "Not recommended at all",
  "text": "Battery backup is very low",
  "certifiedBuyer": true,
  "created": "Aug, 2023",
  "location": "Bengaluru, Karnataka",
  "helpfulCount": 410,
  "upvoteCount": 410,
  "downvoteCount": 151,
  "images": null
}

Key Output Fields

Identity: productId, listingId, url

Product info: title, subtitle, superTitle, brand, vertical, category, subCategory, superCategory

Pricing: price (selling price in INR), mrp (original price), discountAmount, discountPercent, currency

Ratings: rating (average), ratingCount, reviewCount, ratingBreakup (5-element histogram)

Specs: keySpecs (listing page), highlights (detail page), specifications (full grouped specs, detail page), warranty

Media: images (array of resolved image URLs)

Availability: availability, inStock, buyable, fAssured

Detail-only: description, variants

FAQ

Does the actor scrape reviews? Yes. Enable fetchReviews and the actor scrapes customer reviews for each product after collecting the listings. Reviews go into the same dataset with type: "review". Each review has author, rating, title, text, date, location, helpful votes, and images. Control volume with maxReviewsPerProduct and maxReviewPages.

Why are prices in INR? Flipkart is an Indian marketplace; all prices are in Indian Rupees.

What happens if Flipkart blocks the request? The actor retries with a fresh residential proxy session. If all retries fail, it stops early and reports how many products were saved.

Can I scrape a specific category? Yes. Paste the category URL (containing /pr?) into startUrls. The actor paginates it.

Does fetchDetails slow down the run? Yes. Each product needs one extra request to its detail page. For large runs, consider leaving it off and running a second pass on specific product IDs.

Support

• Issues: Apify Console Issues tab
• For custom scraping needs or tailored exports, contact the actor developer.

Additional Services

Need a custom Flipkart dataset, scheduled price monitoring, or a different output format? The actor developer offers custom scraping projects, scheduled runs, and data pipeline setup. Reach out via the Apify Store actor page.

Explore More Scrapers

Check out other e-commerce and product scrapers on the memo23 Apify Store.

For AI Agents & LLM Apps

Purpose: Scrape Flipkart product listings by keyword, category URL, or direct product URL. Returns structured product data with prices, ratings, specs, and images. Optional detail enrichment adds description, highlights, and full specifications.

Minimal tested input:

{"keyword": "wireless earbuds", "maxItems": 5, "fetchDetails": true}

Output fields (flat): Products: productId, listingId, title, subtitle, superTitle, brand, url, price, mrp, discountAmount, discountPercent, currency, rating, ratingCount, reviewCount, ratingBreakup, keySpecs, images, availability, inStock, buyable, warranty, fAssured, category, subCategory, superCategory, vertical, scrapedAt, description (detail), highlights (detail), specifications (detail), variants (detail). Reviews (with type: "review"): reviewId, productId, author, rating, title, text, certifiedBuyer, created, location, helpfulCount, upvoteCount, downvoteCount, images, variant, reviewType, url, scrapedAt.

Billing: PPE. Actor start event per run. One apify-default-dataset-item event per product (primary). One product-details event per product when fetchDetails is on. Reviews are charged as apify-default-dataset-item (same as products).

Behavior: Residential proxy is the default (Flipkart blocks datacenter IPs). Free plan capped at 5 products. Deduplicates by productId across pages. Pagination via ?page=N on search/category URLs.

Disclaimer

This actor is an independent scraping tool and is not affiliated with, endorsed by, or sponsored by Flipkart or its parent company. "Flipkart" is a trademark of its respective owner. This actor scrapes publicly available product listing data from Flipkart's public website. Users are responsible for complying with Flipkart's Terms of Service and applicable data protection laws (including GDPR and CCPA) when using the scraped data. The actor does not bypass authentication, paywalls, or login-protected content.

SEO Keywords

flipkart scraper, flipkart product scraper, flipkart price scraper, flipkart data extraction, flipkart product data, flipkart api alternative, india ecommerce scraper, flipkart ratings scraper, flipkart specifications scraper, flipkart product listings, flipkart price monitoring, flipkart catalog scraper, flipkart product details, scrape flipkart products, flipkart dataset, flipkart csv export, flipkart json export, product price tracking india, flipkart market research, flipkart competitor analysis, flipkart discount data, flipkart in stock checker, flipkart reviews scraper, flipkart customer reviews, flipkart review data